{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "4K4FCNvH8dtm" }, "source": [ "# JAX-CFD demo\n", "\n", "This initial demonstration shows how to use JAX-CFD to simulate decaying turbulence in 2D." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "executionInfo": { "elapsed": 6549, "status": "ok", "timestamp": 1635284279593, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "n2J40uBCo9By" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-05-24 09:31:37.649128: E external/xla/xla/stream_executor/plugin_registry.cc:90] Invalid plugin kind specified: DNN\n" ] } ], "source": [ "import jax\n", "import jax.numpy as jnp\n", "import jax_cfd.base as cfd\n", "import numpy as np\n", "import seaborn\n", "import xarray" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "executionInfo": { "elapsed": 6551, "status": "ok", "timestamp": 1635284297511, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "KcJcpDavpAoi", "outputId": "e07e7188-7fce-464e-9189-52b35748fd76" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-05-24 09:31:55.286270: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_convert_element_type:\n", "2024-05-24 09:31:55.286302: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:31:55.286307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:31:55.286311: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:31:55.286315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:31:55.286319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:31:55.286322: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:31:55.286326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:31:55.286330: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:31:55.286334: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:31:55.286338: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:31:55.286341: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:31:55.286345: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:31:55.286349: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:31:55.286352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:31:55.286356: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:31:55.286360: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:31:55.286363: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:31:55.286367: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:31:55.286371: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:31:55.286374: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:31:55.286378: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:31:55.286382: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:31:55.286385: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:31:55.286389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:31:55.286392: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:31:55.286396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:31:55.286400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:31:55.286403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:31:55.286407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:31:55.286410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:31:55.286414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:31:55.286418: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:31:55.286421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:31:55.286425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:31:55.286429: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:31:55.286434: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:31:55.286437: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:31:55.286441: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:31:55.286445: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:31:55.286448: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:31:55.286461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:31:55.286465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:31:55.286468: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:31:55.286472: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:31:55.286476: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:31:55.286479: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:31:55.286483: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:31:55.286486: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:31:55.286490: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:31:55.286493: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:31:55.286497: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:31:55.286501: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:31:55.286505: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:31:55.286509: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:31:55.286512: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:31:55.286516: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:31:55.286520: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:31:55.286523: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:31:55.286527: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:31:55.286530: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:31:55.286534: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:31:55.286538: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:31:55.286541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:31:55.286545: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:04.666404: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__threefry_seed:\n", "2024-05-24 09:32:04.666442: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:04.666462: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:04.666467: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:04.666471: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:04.666475: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:04.666479: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:04.666484: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:04.666488: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:04.666492: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:04.666495: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:04.666499: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:04.666503: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:04.666506: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:04.666510: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:04.666513: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:04.666517: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:04.666521: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:04.666524: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:04.666528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:04.666531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:04.666535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:04.666539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:04.666542: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:04.666546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:04.666549: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:04.666553: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:04.666557: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:04.666560: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:04.666564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:04.666567: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:04.666571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:04.666575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:04.666578: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:04.666582: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:04.666587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:04.666593: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:04.666597: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:04.666601: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:04.666604: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:04.666608: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:04.666611: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:04.666615: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:04.666619: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:04.666622: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:04.666626: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:04.666629: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:04.666633: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:04.666636: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:04.666640: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:04.666644: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:04.666647: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:04.666651: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:04.666655: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:04.666658: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:04.666662: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:04.666665: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:04.666669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_detailed_logging: true\n", "2024-05-24 09:32:04.666673: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:04.666676: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:04.666680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:04.666683: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:04.666687: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:04.666691: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:04.666694: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:04.666698: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:05.062710: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__threefry_split:\n", "2024-05-24 09:32:05.062747: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:05.062752: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:05.062757: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:05.062761: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:05.062765: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:05.062769: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:05.062773: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:05.062777: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:05.062780: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:05.062784: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:05.062787: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:05.062791: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:05.062795: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:05.062798: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:05.062802: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:05.062806: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:05.062809: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:05.062813: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:05.062817: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.062820: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:05.062824: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:05.062827: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:05.062831: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:05.062834: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:05.062838: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:05.062842: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:05.062845: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:05.062849: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:05.062853: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:05.062856: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:05.062860: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:05.062863: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:05.062867: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:05.062871: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:05.062874: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:05.062882: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:05.062885: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:05.062889: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:05.062893: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:05.062897: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:05.062900: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:05.062904: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.062908: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.062911: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:05.062915: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:05.062919: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:05.062925: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:05.062930: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:05.062936: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:05.062942: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:05.062947: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:05.062951: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:05.062955: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:05.062959: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:05.062963: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:05.062966: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:05.062970: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_detailed_logging: true\n", "2024-05-24 09:32:05.062974: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:05.062978: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:05.062981: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:05.062985: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:05.062989: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:05.062993: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:05.062997: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:05.063001: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:05.313497: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__unstack:\n", "2024-05-24 09:32:05.313535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:05.313540: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:05.313544: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:05.313548: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:05.313552: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:05.313556: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:05.313560: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:05.313564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:05.313567: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:05.313571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:05.313575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:05.313578: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:05.313582: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:05.313586: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:05.313590: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:05.313594: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:05.313597: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:05.313601: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:05.313605: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.313608: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:05.313612: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:05.313616: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:05.313619: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:05.313623: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:05.313627: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:05.313630: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:05.313634: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:05.313638: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:05.313641: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:05.313645: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:05.313649: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:05.313652: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:05.313656: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:05.313660: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:05.313663: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:05.313671: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:05.313675: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:05.313679: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:05.313682: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:05.313686: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:05.313690: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:05.313693: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.313697: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.313701: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:05.313704: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:05.313708: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:05.313712: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:05.313715: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:05.313719: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:05.313723: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:05.313726: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:05.313730: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:05.313734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:05.313738: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:05.313741: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:05.313747: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:05.313753: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:05.313759: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:05.313764: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:05.313771: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:05.313775: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:05.313778: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:05.313782: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:05.313785: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:05.535969: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__normal:\n", "2024-05-24 09:32:05.536007: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:05.536012: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:05.536017: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:05.536021: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:05.536025: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:05.536029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:05.536032: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:05.536036: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:05.536040: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:05.536043: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:05.536047: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:05.536051: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:05.536054: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:05.536058: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:05.536062: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:05.536065: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:05.536069: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:05.536072: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:05.536076: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.536080: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:05.536083: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:05.536087: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:05.536091: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:05.536094: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:05.536098: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:05.536101: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:05.536105: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:05.536109: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:05.536112: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:05.536116: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:05.536120: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:05.536123: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:05.536127: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:05.536131: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:05.536134: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:05.536142: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:05.536145: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:05.536149: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:05.536153: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:05.536156: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:05.536160: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:05.536163: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.536167: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:05.536171: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:05.536174: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:05.536178: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:05.536181: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:05.536185: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:05.536189: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:05.536192: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:05.536196: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:05.536200: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:05.536204: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:05.536207: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:05.536211: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:05.536215: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:05.536218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_detailed_logging: true\n", "2024-05-24 09:32:05.536222: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:05.536225: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:05.536229: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:05.536233: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:05.536236: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:05.536240: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:05.536243: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:05.536247: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.109111: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_convert_element_type:\n", "2024-05-24 09:32:06.109145: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.109151: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.109157: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.109161: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.109165: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.109168: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.109172: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.109176: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.109180: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.109183: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.109187: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.109190: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.109194: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.109198: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.109201: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.109205: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.109209: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.109213: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.109217: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.109221: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.109225: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.109228: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.109232: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.109235: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.109239: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.109243: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.109246: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.109250: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.109254: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.109257: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.109261: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.109264: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.109268: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.109272: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.109276: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.109285: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.109289: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.109292: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.109296: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.109300: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.109303: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.109307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.109311: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.109315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.109318: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.109322: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.109325: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.109329: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.109333: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.109337: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.109341: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.109345: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.109349: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.109353: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.109356: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.109360: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.109363: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.109367: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.109371: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.109374: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.109378: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.109381: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.109385: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.109389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.366265: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_broadcast_in_dim:\n", "2024-05-24 09:32:06.366301: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.366307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.366311: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.366315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.366319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.366323: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.366327: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.366331: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.366335: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.366339: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.366342: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.366346: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.366350: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.366354: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.366358: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.366362: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.366366: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.366370: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.366374: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.366377: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.366381: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.366385: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.366389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.366392: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.366396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.366400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.366403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.366407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.366411: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.366414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.366418: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.366422: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.366426: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.366431: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.366435: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.366444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.366448: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.366464: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.366472: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.366481: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.366493: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.366502: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.366510: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.366520: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.366533: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.366542: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.366551: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.366562: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.366571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.366578: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.366586: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.366591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.366595: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.366599: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.366603: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.366607: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.366611: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.366615: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.366618: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.366622: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.366626: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.366629: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.366633: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.366637: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.517288: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_iota:\n", "2024-05-24 09:32:06.517324: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.517330: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.517335: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.517339: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.517343: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.517346: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.517350: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.517354: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.517357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.517361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.517365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.517368: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.517372: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.517376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.517380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.517383: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.517387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.517392: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.517396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.517400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.517403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.517407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.517410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.517414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.517418: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.517421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.517425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.517429: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.517433: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.517436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.517440: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.517444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.517447: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.517465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.517477: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.517490: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.517498: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.517508: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.517516: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.517526: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.517536: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.517541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.517544: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.517548: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.517552: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.517555: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.517559: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.517563: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.517567: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.517572: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.517576: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.517579: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.517583: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.517587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.517590: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.517594: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.517598: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.517601: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.517605: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.517609: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.517612: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.517616: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.517620: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.517623: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.665603: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_broadcast_in_dim:\n", "2024-05-24 09:32:06.665635: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.665641: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.665645: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.665649: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.665653: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.665657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.665661: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.665665: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.665669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.665673: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.665677: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.665681: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.665684: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.665688: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.665692: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.665695: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.665699: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.665703: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.665706: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.665710: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.665713: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.665717: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.665721: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.665724: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.665729: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.665733: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.665737: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.665740: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.665744: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.665748: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.665751: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.665755: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.665758: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.665762: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.665766: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.665772: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.665776: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.665780: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.665783: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.665787: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.665791: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.665797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.665800: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.665804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.665808: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.665811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.665815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.665819: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.665822: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.665826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.665830: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.665833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.665837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.665841: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.665845: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.665849: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.665853: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.665857: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.665861: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.665864: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.665868: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.665871: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.665875: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.665879: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.788169: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__squeeze:\n", "2024-05-24 09:32:06.788205: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.788210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.788214: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.788219: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.788223: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.788227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.788231: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.788234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.788238: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.788242: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.788245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.788249: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.788253: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.788257: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.788260: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.788264: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.788268: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.788271: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.788275: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.788278: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.788282: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.788286: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.788289: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.788293: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.788297: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.788301: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.788305: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.788309: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.788312: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.788316: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.788319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.788323: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.788327: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.788330: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.788334: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.788342: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.788346: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.788349: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.788353: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.788357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.788361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.788365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.788369: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.788372: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.788376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.788380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.788383: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.788387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.788391: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.788394: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.788398: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.788402: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.788405: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.788409: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.788413: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.788416: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.788420: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.788424: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.788428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.788433: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.788437: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.788440: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.788444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.788448: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:06.918613: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_scatter:\n", "2024-05-24 09:32:06.918657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:06.918662: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:06.918667: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:06.918671: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:06.918674: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:06.918678: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:06.918682: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:06.918685: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:06.918689: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:06.918693: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:06.918697: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:06.918701: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:06.918705: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:06.918708: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:06.918712: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:06.918716: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:06.918719: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:06.918723: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:06.918727: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.918730: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:06.918734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:06.918737: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:06.918741: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:06.918745: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:06.918748: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:06.918752: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:06.918756: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:06.918761: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:06.918764: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:06.918768: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:06.918771: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:06.918775: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:06.918779: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:06.918782: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:06.918786: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:06.918795: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:06.918799: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:06.918802: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:06.918806: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:06.918810: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:06.918813: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:06.918817: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.918821: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:06.918826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:06.918829: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:06.918833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:06.918836: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:06.918840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:06.918844: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:06.918847: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:06.918851: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:06.918855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:06.918859: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:06.918862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:06.918866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:06.918869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:06.918873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:06.918877: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:06.918880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:06.918884: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:06.918888: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:06.918892: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:06.918896: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:06.918899: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.091016: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_convert_element_type:\n", "2024-05-24 09:32:07.091055: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.091060: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.091065: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.091069: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.091073: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.091077: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.091080: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.091084: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.091088: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.091092: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.091096: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.091100: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.091103: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.091107: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.091110: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.091114: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.091118: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.091121: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.091125: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.091129: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.091132: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.091136: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.091139: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.091143: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.091147: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.091150: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.091154: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.091158: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.091162: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.091166: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.091170: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.091173: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.091177: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.091181: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.091184: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.091192: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.091195: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.091199: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.091203: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.091206: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.091210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.091214: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.091217: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.091221: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.091225: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.091230: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.091233: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.091237: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.091241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.091244: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.091248: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.091252: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.091255: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.091259: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.091262: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.091266: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.091270: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.091273: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.091277: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.091280: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.091284: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.091288: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.091291: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.091295: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.122614: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_true_divide:\n", "2024-05-24 09:32:07.122647: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.122652: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.122657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.122661: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.122665: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.122669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.122672: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.122676: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.122680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.122684: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.122687: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.122691: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.122695: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.122698: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.122702: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.122705: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.122709: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.122712: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.122716: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.122720: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.122723: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.122727: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.122730: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.122734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.122737: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.122741: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.122745: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.122749: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.122753: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.122756: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.122760: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.122763: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.122767: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.122771: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.122774: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.122783: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.122786: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.122790: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.122794: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.122797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.122801: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.122804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.122808: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.122811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.122815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.122819: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.122823: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.122826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.122830: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.122833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.122837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.122841: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.122845: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.122848: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.122852: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.122855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.122859: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.122862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.122866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.122870: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.122873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.122877: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.122880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.122884: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.254158: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:07.254194: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.254199: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.254203: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.254207: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.254211: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.254215: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.254218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.254222: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.254227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.254231: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.254234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.254238: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.254242: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.254245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.254249: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.254253: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.254257: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.254260: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.254264: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.254267: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.254271: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.254274: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.254278: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.254282: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.254285: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.254289: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.254293: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.254297: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.254301: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.254304: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.254308: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.254312: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.254315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.254319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.254322: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.254331: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.254334: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.254338: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.254342: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.254345: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.254349: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.254352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.254357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.254361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.254365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.254369: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.254373: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.254376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.254380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.254384: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.254387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.254391: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.254395: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.254398: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.254402: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.254406: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.254409: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.254413: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.254417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.254420: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.254424: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.254428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.254432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.254436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.393160: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_broadcast_in_dim:\n", "2024-05-24 09:32:07.393196: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.393202: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.393206: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.393210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.393214: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.393218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.393222: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.393227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.393230: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.393234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.393237: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.393241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.393245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.393248: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.393252: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.393256: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.393259: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.393263: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.393267: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.393270: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.393274: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.393277: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.393281: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.393285: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.393289: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.393294: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.393297: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.393301: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.393305: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.393308: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.393312: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.393315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.393319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.393323: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.393326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.393333: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.393337: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.393341: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.393344: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.393348: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.393352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.393357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.393360: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.393364: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.393368: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.393371: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.393375: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.393378: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.393382: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.393386: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.393389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.393393: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.393397: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.393400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.393404: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.393408: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.393411: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.393415: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.393419: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.393422: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.393426: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.393430: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.393434: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.393438: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.528783: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_broadcast_in_dim:\n", "2024-05-24 09:32:07.528818: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.528823: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.528828: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.528832: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.528836: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.528840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.528843: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.528847: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.528851: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.528855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.528859: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.528863: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.528867: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.528871: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.528874: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.528878: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.528882: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.528885: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.528889: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.528893: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.528896: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.528900: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.528903: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.528907: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.528911: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.528915: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.528919: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.528923: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.528927: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.528930: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.528934: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.528937: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.528941: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.528945: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.528949: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.528956: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.528960: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.528964: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.528968: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.528971: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.528975: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.528979: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.528983: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.528987: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.528991: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.528995: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.528998: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.529002: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.529006: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.529009: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.529013: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.529017: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.529021: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.529024: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.529028: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.529032: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.529035: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.529039: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.529043: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.529046: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.529050: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.529054: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.529058: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.529062: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.659913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_broadcast_in_dim:\n", "2024-05-24 09:32:07.659949: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.659954: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.659959: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.659963: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.659966: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.659970: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.659974: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.659978: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.659982: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.659986: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.659990: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.659993: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.659997: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.660001: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.660004: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.660008: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.660011: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.660015: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.660019: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.660022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.660026: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.660029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.660033: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.660037: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.660040: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.660044: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.660048: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.660052: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.660056: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.660060: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.660063: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.660067: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.660070: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.660074: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.660078: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.660085: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.660089: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.660092: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.660096: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.660100: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.660103: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.660107: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.660111: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.660116: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.660120: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.660124: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.660127: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.660131: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.660134: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.660138: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.660142: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.660145: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.660149: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.660153: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.660156: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.660160: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.660163: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.660167: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.660171: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.660174: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.660178: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.660182: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.660186: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.660190: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.780436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_concatenate:\n", "2024-05-24 09:32:07.780483: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.780488: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.780493: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.780497: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.780500: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.780504: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.780508: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.780512: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.780516: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.780520: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.780524: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.780528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.780531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.780535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.780539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.780542: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.780546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.780550: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.780553: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.780557: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.780561: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.780564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.780568: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.780571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.780575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.780579: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.780583: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.780587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.780591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.780594: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.780598: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.780602: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.780605: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.780609: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.780613: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.780620: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.780624: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.780627: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.780631: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.780635: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.780639: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.780642: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.780646: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.780650: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.780654: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.780658: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.780662: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.780666: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.780669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.780673: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.780677: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.780680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.780684: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.780688: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.780691: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.780695: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.780699: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.780702: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.780706: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.780710: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.780713: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.780717: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.780721: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.780725: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:07.926309: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_norm:\n", "2024-05-24 09:32:07.926352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:07.926357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:07.926361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:07.926365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:07.926369: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:07.926373: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:07.926376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:07.926380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:07.926385: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:07.926389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:07.926392: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:07.926396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:07.926400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:07.926403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:07.926407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:07.926410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:07.926414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:07.926418: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:07.926421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.926425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:07.926428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:07.926432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:07.926436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:07.926439: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:07.926443: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:07.926447: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:07.926458: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:07.926462: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:07.926465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:07.926469: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:07.926473: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:07.926476: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:07.926480: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:07.926484: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:07.926487: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:07.926495: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:07.926499: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:07.926502: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:07.926506: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:07.926509: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:07.926513: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:07.926517: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.926521: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:07.926525: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:07.926528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:07.926532: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:07.926536: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:07.926539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:07.926543: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:07.926546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:07.926550: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:07.926554: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:07.926557: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:07.926561: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:07.926564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:07.926568: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:07.926572: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:07.926575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:07.926579: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:07.926583: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:07.926587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:07.926591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:07.926594: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:07.926598: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.109155: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:08.109191: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.109198: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.109202: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.109206: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.109210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.109214: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.109218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.109221: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.109225: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.109228: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.109232: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.109236: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.109239: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.109243: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.109247: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.109250: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.109254: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.109257: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.109261: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.109266: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.109269: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.109273: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.109276: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.109280: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.109284: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.109287: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.109291: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.109295: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.109298: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.109302: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.109305: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.109309: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.109313: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.109316: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.109320: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.109326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.109331: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.109335: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.109339: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.109342: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.109346: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.109350: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.109353: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.109357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.109360: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.109364: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.109368: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.109372: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.109375: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.109379: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.109382: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.109386: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.109390: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.109395: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.109399: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.109403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.109407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.109410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.109414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.109417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.109421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.109425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.109428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.109432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.247687: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:08.247724: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.247729: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.247734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.247738: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.247742: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.247746: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.247749: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.247753: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.247757: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.247760: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.247764: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.247767: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.247771: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.247775: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.247778: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.247782: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.247786: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.247789: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.247793: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.247796: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.247800: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.247804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.247807: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.247811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.247814: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.247818: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.247822: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.247825: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.247829: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.247832: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.247836: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.247840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.247843: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.247847: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.247850: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.247857: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.247861: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.247864: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.247868: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.247872: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.247875: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.247879: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.247883: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.247886: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.247890: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.247894: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.247897: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.247901: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.247904: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.247908: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.247912: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.247915: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.247919: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.247922: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.247926: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.247930: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.247933: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.247937: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.247940: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.247944: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.247948: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.247951: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.247955: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.247958: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.421444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:08.421486: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.421491: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.421496: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.421500: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.421504: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.421507: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.421511: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.421515: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.421519: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.421522: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.421526: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.421530: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.421534: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.421537: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.421541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.421545: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.421549: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.421552: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.421556: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.421560: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.421563: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.421567: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.421571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.421575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.421578: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.421582: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.421586: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.421589: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.421593: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.421597: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.421600: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.421604: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.421608: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.421612: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.421615: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.421624: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.421628: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.421632: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.421636: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.421640: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.421643: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.421647: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.421651: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.421655: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.421658: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.421662: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.421666: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.421669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.421673: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.421677: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.421681: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.421684: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.421688: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.421692: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.421696: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.421699: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.421703: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.421707: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.421711: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.421714: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.421718: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.421722: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.421725: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.421729: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.550618: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:08.550655: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.550660: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.550664: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.550668: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.550672: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.550676: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.550680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.550683: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.550687: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.550691: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.550694: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.550698: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.550702: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.550705: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.550709: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.550713: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.550716: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.550720: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.550723: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.550727: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.550730: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.550734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.550738: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.550741: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.550745: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.550748: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.550752: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.550755: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.550759: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.550763: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.550766: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.550770: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.550773: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.550777: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.550781: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.550789: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.550793: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.550797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.550800: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.550804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.550807: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.550811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.550815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.550819: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.550822: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.550826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.550830: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.550833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.550837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.550840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.550844: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.550848: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.550851: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.550855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.550858: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.550862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.550866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.550869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.550873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.550876: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.550880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.550883: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.550887: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.550890: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.732310: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:08.732342: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.732348: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.732353: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.732357: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.732361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.732365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.732368: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.732372: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.732376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.732379: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.732383: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.732387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.732391: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.732395: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.732398: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.732402: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.732405: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.732409: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.732414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.732417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.732421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.732425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.732428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.732432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.732435: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.732440: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.732443: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.732447: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.732459: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.732463: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.732466: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.732471: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.732475: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.732478: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.732482: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.732489: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.732494: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.732498: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.732502: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.732505: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.732509: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.732519: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.732523: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.732526: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.732530: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.732534: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.732538: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.732541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.732546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.732550: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.732554: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.732559: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.732562: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.732566: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.732571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.732575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.732579: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.732583: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.732587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.732591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.732596: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.732600: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.732604: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.732609: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.868007: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_integer_pow:\n", "2024-05-24 09:32:08.868045: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.868050: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.868055: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.868059: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.868063: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.868067: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.868071: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.868075: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.868079: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.868083: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.868087: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.868090: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.868094: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.868098: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.868102: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.868106: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.868109: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.868113: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.868117: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.868120: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.868124: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.868128: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.868131: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.868135: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.868139: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.868142: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.868146: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.868150: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.868153: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.868157: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.868160: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.868164: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.868167: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.868171: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.868174: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.868181: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.868185: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.868188: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.868192: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.868195: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.868199: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.868203: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.868206: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.868210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.868214: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.868218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.868221: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.868225: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.868229: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.868232: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.868236: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.868240: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.868243: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.868247: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.868250: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.868254: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.868257: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.868261: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.868265: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.868268: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.868272: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.868275: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.868279: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.868283: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:08.994497: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:08.994531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:08.994536: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:08.994541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:08.994545: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:08.994548: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:08.994552: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:08.994556: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:08.994559: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:08.994563: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:08.994566: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:08.994570: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:08.994574: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:08.994577: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:08.994581: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:08.994584: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:08.994588: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:08.994592: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:08.994595: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:08.994599: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.994603: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:08.994606: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:08.994610: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:08.994613: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:08.994617: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:08.994620: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:08.994624: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:08.994627: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:08.994631: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:08.994635: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:08.994638: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:08.994642: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:08.994645: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:08.994649: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:08.994652: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:08.994656: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:08.994666: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:08.994672: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:08.994677: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:08.994681: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:08.994684: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:08.994688: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:08.994693: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.994698: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:08.994703: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:08.994707: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:08.994711: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:08.994715: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:08.994720: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:08.994726: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:08.994732: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:08.994736: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:08.994740: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:08.994745: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:08.994751: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:08.994755: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:08.994759: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:08.994763: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:08.994766: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:08.994770: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:08.994773: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:08.994777: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:08.994780: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:08.994785: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:08.994790: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.132389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_true_divide:\n", "2024-05-24 09:32:09.132426: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.132432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.132436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.132440: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.132444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.132448: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.132461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.132464: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.132468: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.132472: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.132475: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.132479: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.132483: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.132486: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.132490: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.132494: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.132498: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.132501: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.132505: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.132508: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.132512: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.132516: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.132519: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.132523: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.132526: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.132530: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.132534: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.132537: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.132541: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.132544: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.132548: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.132552: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.132555: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.132559: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.132563: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.132569: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.132573: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.132576: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.132580: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.132583: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.132587: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.132591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.132594: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.132598: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.132604: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.132609: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.132614: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.132621: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.132629: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.132633: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.132637: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.132640: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.132644: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.132647: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.132651: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.132655: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.132658: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.132662: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.132665: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.132669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.132673: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.132676: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.132680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.132683: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.274110: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_true_divide:\n", "2024-05-24 09:32:09.274148: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.274153: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.274157: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.274161: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.274165: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.274169: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.274173: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.274176: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.274180: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.274184: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.274187: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.274191: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.274195: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.274198: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.274202: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.274206: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.274210: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.274213: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.274217: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.274220: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.274224: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.274228: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.274231: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.274235: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.274240: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.274245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.274251: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.274255: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.274262: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.274268: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.274274: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.274280: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.274284: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.274288: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.274292: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.274298: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.274302: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.274307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.274313: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.274319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.274325: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.274329: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.274332: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.274336: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.274340: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.274344: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.274347: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.274353: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.274358: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.274362: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.274366: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.274370: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.274373: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.274377: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.274380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.274384: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.274389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.274394: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.274400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.274406: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.274410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.274413: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.274417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.274421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.404364: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:09.404400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.404405: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.404409: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.404413: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.404417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.404421: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.404424: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.404428: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.404432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.404436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.404439: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.404443: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.404447: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.404457: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.404461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.404465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.404468: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.404472: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.404475: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.404479: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.404482: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.404486: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.404489: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.404493: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.404497: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.404500: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.404504: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.404508: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.404512: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.404515: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.404519: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.404522: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.404526: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.404529: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.404533: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.404539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.404543: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.404547: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.404551: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.404554: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.404558: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.404562: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.404565: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.404569: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.404573: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.404576: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.404580: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.404586: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.404592: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.404597: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.404603: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.404609: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.404614: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.404617: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.404621: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.404625: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.404632: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.404637: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.404642: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.404646: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.404649: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.404653: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.404657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.404660: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.532975: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__lambda_:\n", "2024-05-24 09:32:09.533012: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.533017: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.533022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.533026: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.533029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.533033: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.533037: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.533041: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.533044: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.533048: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.533052: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.533056: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.533059: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.533063: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.533066: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.533070: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.533074: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.533077: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.533081: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.533085: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.533088: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.533092: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.533095: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.533099: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.533102: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.533106: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.533110: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.533114: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.533117: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.533121: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.533124: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.533128: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.533132: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.533135: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.533139: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.533147: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.533150: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.533154: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.533158: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.533161: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.533165: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.533169: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.533172: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.533176: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.533180: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.533183: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.533187: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.533190: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.533194: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.533198: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.533201: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.533205: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.533209: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.533212: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.533216: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.533219: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.533223: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.533227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.533230: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.533234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.533237: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.533241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.533245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.533248: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.716793: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_integer_pow:\n", "2024-05-24 09:32:09.716827: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.716832: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.716837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.716841: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.716844: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.716848: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.716852: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.716856: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.716859: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.716863: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.716867: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.716871: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.716874: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.716878: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.716882: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.716885: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.716889: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.716893: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.716896: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.716900: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.716904: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.716907: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.716911: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.716914: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.716918: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.716922: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.716925: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.716929: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.716933: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.716937: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.716940: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.716944: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.716947: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.716951: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.716955: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.716962: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.716966: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.716969: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.716973: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.716976: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.716980: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.716983: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.716987: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.716991: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.716995: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.716998: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.717002: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.717006: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.717010: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.717013: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.717017: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.717020: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.717024: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.717028: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.717031: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.717035: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.717038: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.717042: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.717046: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.717049: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.717053: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.717057: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.717060: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.717064: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.845211: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_true_divide:\n", "2024-05-24 09:32:09.845246: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.845252: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.845256: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.845260: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.845264: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.845268: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.845272: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.845275: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.845279: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.845282: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.845286: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.845290: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.845293: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.845297: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.845301: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.845305: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.845309: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.845312: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.845316: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.845319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.845323: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.845326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.845330: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.845333: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.845337: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.845340: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.845344: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.845349: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.845352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.845356: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.845359: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.845363: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.845367: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.845371: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.845374: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.845382: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.845385: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.845389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.845393: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.845396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.845400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.845403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.845407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.845410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.845414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.845418: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.845422: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.845425: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.845429: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.845432: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.845436: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.845440: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.845444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.845447: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.845457: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.845461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.845464: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.845468: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.845472: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.845476: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.845479: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.845483: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.845487: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.845490: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:09.987679: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit__where:\n", "2024-05-24 09:32:09.987716: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:09.987721: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:09.987726: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:09.987730: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:09.987734: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:09.987738: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:09.987742: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:09.987745: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:09.987749: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:09.987753: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:09.987756: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:09.987760: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:09.987764: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:09.987767: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:09.987771: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:09.987775: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:09.987778: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:09.987782: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:09.987786: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.987789: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:09.987793: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:09.987797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:09.987800: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:09.987804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:09.987808: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:09.987811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:09.987815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:09.987819: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:09.987822: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:09.987826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:09.987830: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:09.987833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:09.987837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:09.987840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:09.987844: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:09.987851: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:09.987855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:09.987858: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:09.987862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:09.987866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:09.987869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:09.987873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.987877: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:09.987880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:09.987884: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:09.987888: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:09.987891: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:09.987895: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:09.987898: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:09.987902: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:09.987906: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:09.987909: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:09.987913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:09.987917: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:09.987920: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:09.987924: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:09.987927: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:09.987931: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:09.987935: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:09.987939: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:09.987942: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:09.987946: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:09.987949: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:09.987953: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:10.145981: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fft:\n", "2024-05-24 09:32:10.146017: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:10.146022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:10.146027: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:10.146031: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:10.146035: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:10.146038: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:10.146042: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:10.146046: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:10.146050: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:10.146053: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:10.146057: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:10.146060: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:10.146064: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:10.146068: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:10.146072: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:10.146076: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:10.146079: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:10.146083: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:10.146086: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.146090: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:10.146094: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:10.146097: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:10.146101: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:10.146104: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:10.146108: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:10.146112: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:10.146115: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:10.146119: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:10.146123: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:10.146126: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:10.146130: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:10.146134: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:10.146137: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:10.146141: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:10.146146: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:10.146152: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:10.146156: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:10.146160: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:10.146163: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:10.146167: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:10.146171: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:10.146174: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.146178: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.146182: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:10.146185: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:10.146189: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:10.146193: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:10.146196: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:10.146200: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:10.146204: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:10.146208: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:10.146212: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:10.146215: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:10.146219: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:10.146222: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:10.146226: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:10.146230: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:10.146233: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:10.146237: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:10.146241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:10.146244: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:10.146248: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:10.146251: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:10.146255: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:10.402732: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:10.402768: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:10.402773: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:10.402777: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:10.402781: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:10.402785: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:10.402790: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:10.402793: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:10.402797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:10.402800: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:10.402804: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:10.402808: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:10.402811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:10.402815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:10.402818: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:10.402822: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:10.402826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:10.402829: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:10.402833: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:10.402836: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.402840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:10.402843: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:10.402847: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:10.402851: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:10.402854: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:10.402858: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:10.402862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:10.402865: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:10.402869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:10.402872: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:10.402876: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:10.402879: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:10.402883: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:10.402886: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:10.402890: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:10.402894: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:10.402902: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:10.402906: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:10.402910: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:10.402913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:10.402917: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:10.402921: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:10.402924: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.402928: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.402932: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:10.402935: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:10.402939: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:10.402943: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:10.402947: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:10.402950: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:10.402954: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:10.402958: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:10.402962: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:10.402966: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:10.402969: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:10.402973: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:10.402977: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:10.402980: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:10.402985: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:10.402991: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:10.402997: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:10.403005: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:10.403018: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:10.403029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:10.403042: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:10.543805: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fft:\n", "2024-05-24 09:32:10.543840: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:10.543845: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:10.543849: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:10.543854: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:10.543857: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:10.543861: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:10.543865: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:10.543869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:10.543872: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:10.543876: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:10.543880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:10.543883: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:10.543887: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:10.543891: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:10.543894: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:10.543898: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:10.543902: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:10.543905: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:10.543909: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.543913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:10.543916: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:10.543920: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:10.543923: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:10.543927: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:10.543931: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:10.543935: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:10.543938: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:10.543942: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:10.543946: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:10.543949: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:10.543953: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:10.543957: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:10.543960: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:10.543964: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:10.543968: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:10.543974: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:10.543978: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:10.543982: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:10.543986: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:10.543989: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:10.543993: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:10.543997: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.544000: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.544004: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:10.544008: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:10.544012: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:10.544015: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:10.544019: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:10.544022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:10.544026: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:10.544030: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:10.544033: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:10.544037: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:10.544041: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:10.544045: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:10.544048: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:10.544052: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:10.544055: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:10.544059: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:10.544063: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:10.544066: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:10.544070: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:10.544074: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:10.544077: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:10.727760: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_real:\n", "2024-05-24 09:32:10.727797: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:10.727802: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:10.727807: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:10.727811: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:10.727815: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:10.727819: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:10.727823: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:10.727826: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:10.727830: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:10.727834: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:10.727837: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:10.727841: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:10.727844: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:10.727848: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:10.727852: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:10.727855: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:10.727859: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:10.727862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:10.727866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.727870: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:10.727873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:10.727877: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:10.727880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:10.727884: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:10.727888: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:10.727891: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:10.727895: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:10.727898: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:10.727902: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:10.727906: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:10.727909: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:10.727913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:10.727916: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:10.727920: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:10.727923: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:10.727930: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:10.727934: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:10.727937: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:10.727941: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:10.727944: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:10.727948: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:10.727952: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.727956: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:10.727959: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:10.727963: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:10.727967: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:10.727971: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:10.727974: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:10.727978: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:10.727981: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:10.727985: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:10.727989: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:10.727992: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:10.727996: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:10.728000: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:10.728004: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:10.728007: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:10.728011: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:10.728015: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:10.728018: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:10.728022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:10.728026: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:10.728029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:10.728033: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:11.056461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_scan:\n", "2024-05-24 09:32:11.056495: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:11.056501: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:11.056505: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:11.056509: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:11.056513: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:11.056517: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:11.056521: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:11.056524: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:11.056528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:11.056531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:11.056535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:11.056539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:11.056542: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:11.056546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:11.056550: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:11.056554: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:11.056557: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:11.056561: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:11.056564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:11.056568: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:11.056571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:11.056575: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:11.056579: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:11.056582: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:11.056586: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:11.056589: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:11.056593: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:11.056597: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:11.056600: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:11.056604: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:11.056607: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:11.056611: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:11.056615: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:11.056619: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:11.056622: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:11.056628: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:11.056632: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:11.056636: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:11.056639: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:11.056643: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:11.056646: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:11.056650: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:11.056654: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:11.056657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:11.056661: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:11.056664: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:11.056668: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:11.056672: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:11.056675: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:11.056679: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:11.056683: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:11.056686: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:11.056690: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:11.056693: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:11.056697: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:11.056701: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:11.056704: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_detailed_logging: true\n", "2024-05-24 09:32:11.056708: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:11.056711: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:11.056715: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:11.056718: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:11.056722: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:11.056726: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:11.056729: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:11.056733: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:12.375134: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_multistep:\n", "2024-05-24 09:32:12.375177: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:12.375183: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:12.375188: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:12.375192: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:12.375196: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:12.375200: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:12.375204: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:12.375207: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:12.375211: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:12.375215: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:12.375218: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:12.375223: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:12.375227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:12.375231: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:12.375234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:12.375238: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:12.375241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:12.375245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:12.375249: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:12.375252: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:12.375256: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:12.375259: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:12.375263: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:12.375267: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:12.375270: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:12.375274: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:12.375277: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:12.375281: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:12.375285: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:12.375288: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:12.375292: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:12.375295: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:12.375300: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:12.375303: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:12.375307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:12.375312: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:12.375316: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:12.375319: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:12.375323: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:12.375327: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:12.375330: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:12.375334: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:12.375337: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:12.375341: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:12.375345: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:12.375348: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:12.375352: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:12.375355: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:12.375359: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:12.375362: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:12.375366: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:12.375370: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:12.375373: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:12.375377: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:12.375381: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:12.375384: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:12.375389: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_detailed_logging: true\n", "2024-05-24 09:32:12.375392: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:12.375396: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:12.375400: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:12.375403: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:12.375407: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:12.375410: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:12.375414: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:12.375417: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1.87 s, sys: 316 ms, total: 2.18 s\n", "Wall time: 2.15 s\n" ] } ], "source": [ "size = 256\n", "density = 1.\n", "viscosity = 1e-3\n", "seed = 0\n", "inner_steps = 25\n", "outer_steps = 200\n", "\n", "max_velocity = 2.0\n", "cfl_safety_factor = 0.5\n", "\n", "# Define the physical dimensions of the simulation.\n", "grid = cfd.grids.Grid((size, size), domain=((0, 2 * jnp.pi), (0, 2 * jnp.pi)))\n", "\n", "# Construct a random initial velocity. The `filtered_velocity_field` function\n", "# ensures that the initial velocity is divergence free and it filters out\n", "# high frequency fluctuations.\n", "v0 = cfd.initial_conditions.filtered_velocity_field(\n", " jax.random.PRNGKey(seed), grid, max_velocity)\n", "\n", "# Choose a time step.\n", "dt = cfd.equations.stable_time_step(\n", " max_velocity, cfl_safety_factor, viscosity, grid)\n", "\n", "# Define a step function and use it to compute a trajectory.\n", "step_fn = cfd.funcutils.repeated(\n", " cfd.equations.semi_implicit_navier_stokes(\n", " density=density, viscosity=viscosity, dt=dt, grid=grid),\n", " steps=inner_steps)\n", "rollout_fn = jax.jit(cfd.funcutils.trajectory(step_fn, outer_steps))\n", "%time _, trajectory = jax.device_get(rollout_fn(v0))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "executionInfo": { "elapsed": 54, "status": "ok", "timestamp": 1635284856908, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "m_q3OSfxjjfY", "outputId": "e9bbb584-c53e-4148-d744-37c08140c28f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Component 0: GridVariable(array=GridArray(data=array([[[-0.8935042 , ..., -0.8515548 ],\n", " ...,\n", " [-0.9017288 , ..., -0.8609535 ]],\n", "\n", " ...,\n", "\n", " [[-0.06768889, ..., -0.08864684],\n", " ...,\n", " [-0.06688285, ..., -0.08821402]]], dtype=float32), offset=(1.0, 0.5), grid=Grid(shape=(256, 256), step=(0.02454369260617026, 0.02454369260617026), domain=((0.0, 6.283185307179586), (0.0, 6.283185307179586)))), bc=HomogeneousBoundaryConditions(types=(('periodic', 'periodic'), ('periodic', 'periodic')), bc_values=((0.0, 0.0), (0.0, 0.0))))\n", "Component 1: GridVariable(array=GridArray(data=array([[[0.142946 , ..., 0.15117063],\n", " ...,\n", " [0.1722027 , ..., 0.18040818]],\n", "\n", " ...,\n", "\n", " [[0.2864643 , ..., 0.2856583 ],\n", " ...,\n", " [0.2748214 , ..., 0.27287936]]], dtype=float32), offset=(0.5, 1.0), grid=Grid(shape=(256, 256), step=(0.02454369260617026, 0.02454369260617026), domain=((0.0, 6.283185307179586), (0.0, 6.283185307179586)))), bc=HomogeneousBoundaryConditions(types=(('periodic', 'periodic'), ('periodic', 'periodic')), bc_values=((0.0, 0.0), (0.0, 0.0))))\n" ] } ], "source": [ "# JAX-CFD uses GridVariable objects for input/output. These objects contain:\n", "# - array data\n", "# - an \"offset\" that documents the position on the unit-cell where the data\n", "# values are located\n", "# - grid properties\n", "# - boundary conditions on the variable\n", "with np.printoptions(edgeitems=1):\n", " for i, u in enumerate(trajectory):\n", " print(f'Component {i}: {u}')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "executionInfo": { "elapsed": 57, "status": "ok", "timestamp": 1635284965458, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "OpBLRIXZD4ny" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-05-24 09:32:19.468399: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_iota:\n", "2024-05-24 09:32:19.468435: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:19.468441: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:19.468446: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:19.468457: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:19.468462: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:19.468465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:19.468469: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:19.468473: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:19.468477: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:19.468480: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:19.468484: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:19.468487: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:19.468491: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:19.468495: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:19.468499: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:19.468502: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:19.468506: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:19.468509: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:19.468513: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.468517: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:19.468521: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:19.468524: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:19.468528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:19.468531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:19.468535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:19.468539: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:19.468542: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:19.468546: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:19.468550: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:19.468553: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:19.468557: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:19.468560: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:19.468564: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:19.468568: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:19.468571: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:19.468581: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:19.468584: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:19.468588: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:19.468591: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:19.468595: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:19.468599: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:19.468603: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.468606: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.468610: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:19.468614: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:19.468617: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:19.468621: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:19.468624: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:19.468628: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:19.468632: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:19.468635: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:19.468639: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:19.468643: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:19.468646: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:19.468650: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:19.468654: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:19.468657: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:19.468661: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:19.468665: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:19.468669: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:19.468672: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:19.468676: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:19.468680: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:19.468683: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:19.598805: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:19.598843: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:19.598849: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:19.598854: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:19.598858: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:19.598862: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:19.598866: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:19.598869: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:19.598873: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:19.598877: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:19.598880: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:19.598884: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:19.598887: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:19.598891: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:19.598895: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:19.598898: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:19.598902: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:19.598905: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:19.598909: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:19.598913: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.598916: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:19.598920: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:19.598923: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:19.598927: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:19.598931: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:19.598934: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:19.598938: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:19.598942: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:19.598945: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:19.598949: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:19.598952: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:19.598956: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:19.598960: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:19.598963: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:19.598967: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:19.598971: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:19.598979: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:19.598983: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:19.598987: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:19.598990: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:19.598994: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:19.598998: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:19.599002: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.599005: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.599009: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:19.599013: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:19.599018: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:19.599022: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:19.599026: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:19.599029: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:19.599033: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:19.599037: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:19.599041: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:19.599044: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:19.599048: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:19.599051: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:19.599055: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:19.599059: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:19.599062: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:19.599066: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:19.599070: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:19.599073: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:19.599077: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:19.599081: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:19.599085: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:19.733252: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:19.733287: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:19.733292: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:19.733296: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:19.733300: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:19.733304: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:19.733307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:19.733311: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:19.733315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:19.733318: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:19.733322: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:19.733326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:19.733329: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:19.733333: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:19.733336: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:19.733340: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:19.733344: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:19.733347: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:19.733351: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:19.733355: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.733358: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:19.733362: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:19.733365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:19.733369: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:19.733372: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:19.733376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:19.733380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:19.733383: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:19.733387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:19.733390: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:19.733394: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:19.733397: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:19.733401: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:19.733405: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:19.733408: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:19.733412: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:19.733422: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:19.733426: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:19.733430: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:19.733433: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:19.733437: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:19.733441: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:19.733444: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.733448: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.733461: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:19.733465: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:19.733469: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:19.733473: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:19.733476: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:19.733480: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:19.733484: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:19.733487: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:19.733491: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:19.733495: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:19.733499: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:19.733502: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:19.733506: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:19.733510: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:19.733513: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:19.733517: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:19.733520: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:19.733524: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:19.733528: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:19.733531: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:19.733535: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n", "2024-05-24 09:32:19.862131: W external/xla/xla/service/gpu/gpu_compiler.cc:555] GpuCompilationEnvironment of hlo_module jit_fn:\n", "2024-05-24 09:32:19.862168: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_backend_optimization_level: 3\n", "2024-05-24 09:32:19.862178: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_eliminate_hlo_implicit_broadcast: true\n", "2024-05-24 09:32:19.862183: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_multi_thread_eigen: true\n", "2024-05-24 09:32:19.862187: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cuda_data_dir: \"./cuda_sdk_lib\"\n", "2024-05-24 09:32:19.862190: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_alias_scope_metadata: true\n", "2024-05-24 09:32:19.862194: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_noalias_metadata: true\n", "2024-05-24 09:32:19.862198: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_llvm_enable_invariant_load_metadata: true\n", "2024-05-24 09:32:19.862201: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_force_host_platform_device_count: 1\n", "2024-05-24 09:32:19.862205: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_nans: true\n", "2024-05-24 09:32:19.862208: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_infs: true\n", "2024-05-24 09:32:19.862212: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_allow_excess_precision: true\n", "2024-05-24 09:32:19.862216: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_autotune_level: 4\n", "2024-05-24 09:32:19.862219: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_division: true\n", "2024-05-24 09:32:19.862223: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_fast_math_honor_functions: true\n", "2024-05-24 09:32:19.862227: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_max_hlo_modules: -1\n", "2024-05-24 09:32:19.862230: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_multiheap_size_constraint_per_heap: -1\n", "2024-05-24 09:32:19.862234: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_async_all_reduce: true\n", "2024-05-24 09:32:19.862237: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_strict_conv_algorithm_picker: true\n", "2024-05-24 09:32:19.862241: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_reduce_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.862245: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_frontend: true\n", "2024-05-24 09:32:19.862248: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_nccl_termination_timeout_seconds: -1\n", "2024-05-24 09:32:19.862251: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_shared_constants: true\n", "2024-05-24 09:32:19.862255: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_scratch_max_megabytes: 4096\n", "2024-05-24 09:32:19.862259: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_simplify_all_fp_conversions: true\n", "2024-05-24 09:32:19.862262: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_xla_runtime_executable: true\n", "2024-05-24 09:32:19.862266: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_shape_checks: RUNTIME\n", "2024-05-24 09:32:19.862269: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_normalize_layouts: true\n", "2024-05-24 09:32:19.862273: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_tiling_and_fusion: true\n", "2024-05-24 09:32:19.862277: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_dump_enable_mlir_pretty_form: true\n", "2024-05-24 09:32:19.862280: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_triton_gemm: true\n", "2024-05-24 09:32:19.862284: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cudnn_int8x32_convolution_reordering: true\n", "2024-05-24 09:32:19.862287: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_experimental_deallocation: true\n", "2024-05-24 09:32:19.862291: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_enable_mlir_fusion_outlining: true\n", "2024-05-24 09:32:19.862296: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_m_dim: 8\n", "2024-05-24 09:32:19.862300: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_n_dim: 8\n", "2024-05-24 09:32:19.862307: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_cpu_matmul_tiling_k_dim: 8\n", "2024-05-24 09:32:19.862311: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_num_runs_to_instantiate: -1\n", "2024-05-24 09:32:19.862315: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_lhs_enable_gpu_async_tracker: true\n", "2024-05-24 09:32:19.862318: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_inflation_factor: 1\n", "2024-05-24 09:32:19.862322: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_min_graph_size: 5\n", "2024-05-24 09:32:19.862326: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reassociation_for_converted_ar: true\n", "2024-05-24 09:32:19.862329: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_all_gather_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.862333: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_reduce_scatter_combine_threshold_bytes: 31457280\n", "2024-05-24 09:32:19.862336: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_highest_priority_async_stream: true\n", "2024-05-24 09:32:19.862340: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_auto_spmd_partitioning_memory_budget_ratio: 1.1\n", "2024-05-24 09:32:19.862344: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_redzone_padding_bytes: 8388608\n", "2024-05-24 09:32:19.862347: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_triton_fusion_level: 2\n", "2024-05-24 09:32:19.862351: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_graph_eviction_timeout_seconds: 60\n", "2024-05-24 09:32:19.862354: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_gpu2_hal: true\n", "2024-05-24 09:32:19.862358: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_copy_insertion_use_region_analysis: true\n", "2024-05-24 09:32:19.862361: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_collective_permute_decomposer_threshold: 9223372036854775807\n", "2024-05-24 09:32:19.862365: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_split_k_autotuning: true\n", "2024-05-24 09:32:19.862369: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduction_epilogue_fusion: true\n", "2024-05-24 09:32:19.862373: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_cublas_fallback: true\n", "2024-05-24 09:32:19.862376: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_filter_kernels_spilling_registers_on_autotuning: true\n", "2024-05-24 09:32:19.862380: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_debug_buffer_assignment_show_max: 15\n", "2024-05-24 09:32:19.862383: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_enable_dumping: true\n", "2024-05-24 09:32:19.862387: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_all_gather_combine_by_dim: true\n", "2024-05-24 09:32:19.862391: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_reduce_scatter_combine_by_dim: true\n", "2024-05-24 09:32:19.862394: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: FUSION\n", "2024-05-24 09:32:19.862398: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_command_buffer: CUBLAS\n", "2024-05-24 09:32:19.862402: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_enable_cub_radix_sort: true\n", "2024-05-24 09:32:19.862405: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_memory_limit_slop_factor: 95\n", "2024-05-24 09:32:19.862409: W external/xla/xla/service/gpu/gpu_compiler.cc:555] xla_gpu_threshold_for_windowed_einsum_mib: 100000\n" ] } ], "source": [ "# load into xarray for visualization and analysis\n", "ds = xarray.Dataset(\n", " {\n", " 'u': (('time', 'x', 'y'), trajectory[0].data),\n", " 'v': (('time', 'x', 'y'), trajectory[1].data),\n", " },\n", " coords={\n", " 'x': grid.axes()[0],\n", " 'y': grid.axes()[1],\n", " 'time': dt * inner_steps * np.arange(outer_steps)\n", " }\n", ")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "height": 263 }, "executionInfo": { "elapsed": 60, "status": "ok", "timestamp": 1635284966443, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "p4VzDmxoEuha", "outputId": "25639ac6-1386-48ed-8270-05e063a69823" }, "outputs": [ { "data": { "text/html": [ "
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<xarray.Dataset> Size: 105MB\n",
              "Dimensions:  (time: 200, x: 256, y: 256)\n",
              "Coordinates:\n",
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              "  * y        (y) float32 1kB 0.01227 0.03682 0.06136 ... 6.222 6.246 6.271\n",
              "  * time     (time) float64 2kB 0.0 0.1534 0.3068 0.4602 ... 30.22 30.37 30.53\n",
              "Data variables:\n",
              "    u        (time, x, y) float32 52MB -0.8935 -0.9323 ... -0.1087 -0.08821\n",
              "    v        (time, x, y) float32 52MB 0.1429 0.1357 0.1294 ... 0.2716 0.2729
" ], "text/plain": [ " Size: 105MB\n", "Dimensions: (time: 200, x: 256, y: 256)\n", "Coordinates:\n", " * x (x) float32 1kB 0.01227 0.03682 0.06136 ... 6.222 6.246 6.271\n", " * y (y) float32 1kB 0.01227 0.03682 0.06136 ... 6.222 6.246 6.271\n", " * time (time) float64 2kB 0.0 0.1534 0.3068 0.4602 ... 30.22 30.37 30.53\n", "Data variables:\n", " u (time, x, y) float32 52MB -0.8935 -0.9323 ... -0.1087 -0.08821\n", " v (time, x, y) float32 52MB 0.1429 0.1357 0.1294 ... 0.2716 0.2729" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "height": 441 }, "executionInfo": { "elapsed": 1468, "status": "ok", "timestamp": 1635284970861, "user": { "displayName": "", "photoUrl": "", "userId": "" }, "user_tz": 420 }, "id": "SneOsAJI-1TI", "outputId": "15b54a65-a2b2-40fb-b89a-41a1fa7f0636" }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def vorticity(ds):\n", " return (ds.v.differentiate('x') - ds.u.differentiate('y')).rename('vorticity')\n", "\n", "(ds.pipe(vorticity).thin(time=20)\n", " .plot.imshow(col='time', cmap=seaborn.cm.icefire, robust=True, col_wrap=5));" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6CAny0B0im56" }, "outputs": [], "source": [] } ], "metadata": { "colab": { "collapsed_sections": [], "last_runtime": { "build_target": "//learning/deepmind/public/tools/ml_python:ml_notebook", "kind": "private" }, "name": "JAX-CFD demo.ipynb", "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 0 }