- 23 May, 2025 1 commit
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yuguo authored
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- 29 Apr, 2025 1 commit
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HuangHuang authored
Prevent precision issues by making get_old_fp8_meta_tensors_for_recompute() return copies of amaxes/scales rather than references to originals. Signed-off-by:
HuangHuang <huang.huang@mthreads.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 10 Apr, 2025 1 commit
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kwyss-nvidia authored
* Add GEMM logic for blockwise quantized tensors. GEMM test cases included in pytorch integration. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update NVTE_BLOCK_SCALING for GEMM. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Gate feature on CUDA 12.9 Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Gemm typo. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Remove unecessary type converter change. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Reflect epilogue availability and test supported epilogues. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * GEMM simplifications from recipe branch. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Format py code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update GEMM DGelu tests to match support depending on output dtype. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Force pow2Scales in GEMM Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add GEMM test to pytorch test suite. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add copyright to GEMM test. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update import for GEMM test. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add license. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update test gemm supported predicate. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Use sgemm like interfaces and naming. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Rewrite GEMM comment. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR Feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Recipe setup for Linear modules. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Use 12.9 feature test. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Run against tensor dumps from internal library. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update FIXME to TODO with linked issue. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update full recompute feature to save recipe. The recompute context uses the same recipe and fp8 settings as the original fwd pass. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR Feedback. Avoid reusing quantizer objects. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update logic in module. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Format py. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update for PP bug. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update test numerics. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update force_power_of_2 scales in the recipe. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update usage method to satisfy upstream changes. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * fix subchannel recipe in distributed test with bf16 gather Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Edit and cleanup BF16 gather code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update test import. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * support columnwise only mode to 1D quantize kernel Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Format and move enum Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Skip alloc. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * try async bf16 gather Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Format python code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Document and type code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update pytorch lint errors. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Dont set high precision dtype. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add test for sanity and CG; fix CG for sequential? Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Keep make_quantizers API stable Update num_quantizers instead to pass cuda_graph tests. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Fix import name. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Rename recipe method. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Skip grouped linear sanity test. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Set usage before BF16 gather. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * refactor for nvte_quantize_v2 Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Format code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Cleanup nvte_quantize_v2 Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Test fp32 scales. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Disable CUDA graph. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Simplify layernorm linear Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Cleanup layernorm linear. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * LayerNorm linear bwd gather logic. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Communication updates. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update transformer_engine/pytorch/ops/op.py Apply MR comment change. Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
kwyss-nvidia <kwyss@nvidia.com> * Lint fix. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Enable cuda graph tests. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Reduce chance of spurious failure and reword. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Review suggestions from @timmoon10 Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update CPP tests. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update common.h Signed-off-by:
Xin Yao <yaox12@outlook.com> * Update test_float8blockwisetensor.py Signed-off-by:
Xin Yao <yaox12@outlook.com> --------- Signed-off-by:
Keith Wyss <kwyss@nvidia.com> Signed-off-by:
zhongboz <zhongboz@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
kwyss-nvidia <kwyss@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Xin Yao <yaox12@outlook.com> Co-authored-by:
zhongboz <zhongboz@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Xin Yao <yaox12@outlook.com>
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- 22 Mar, 2025 1 commit
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Kunlun Li authored
* Enable fp8_primary_weights for current scaling Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use different cast_master_weights_to_fp8 functions depending on the type of quantizer Signed-off-by:
kunlunl <kunlunl@nvidia.com> * All amaxes of model_weights should participate in reduce-max Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Clear _high_precision_init_val automatically in cast_master_weights_to_fp8 function Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Merge all all-reduce on amaxes into one NCCL kernel Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add unit tests for multi_tensor_compute_scale_and_scale_inv and preserve_high_precision_init_val Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Fix conflicts Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add unit test for cast_master_weights_to_fp8 Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * use mock group to initialize fp8_autocast to avoid reduction of amax_history by fp8_autocast_exit Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Remove with_computing_amax and with_computing_scale Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Move replace_raw_data from QuantizedTensor to utils.py Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Remove allow_empty_output argument from nvte_compute_amax and set it always be true Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Rename import guard of recipe_common.cuh to be align with other import guards Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add unit test for replace_raw_data Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add test_replace_raw_data into qa/L0_pytorch_unittest/test.sh Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Minor changes in comments Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Add randomness to the unit test of replace_raw_data Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * (Maybe need revert) Add tex.quantize_to_fragment Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * (Maybe needsto rrevert) Use nvte_quantize_noop in quantize_to_fragment Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix lint error Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Move high_precision_init_val test and replace_raw_data test to test_sanity.py Signed-off-by:
kunlunl <kunlunl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Remove test_fp8_model_init.py and test_replace_raw_data.py Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Remove cast_master_weights_to_fp8 and replace_raw_data from __all__ of tensor.__init__.py Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Move FP8 casting logic back from C++ tex funcs to Python Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Remove unimplemented function from header Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
kunlunl <kunlunl@nvidia.com> Signed-off-by:
Kunlun Li <94586211+kunlunl@users.noreply.github.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com>
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- 20 Mar, 2025 1 commit
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yuguo authored
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- 08 Mar, 2025 1 commit
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Zhongbo Zhu authored
* check in per-tensor current scaling full recipe Signed-off-by:
zhongboz <zhongboz@nvidia.com> [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
zhongboz <zhongboz@nvidia.com> setup basics of current scaling quantizer in python level Signed-off-by:
zhongboz <zhongboz@nvidia.com> [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
zhongboz <zhongboz@nvidia.com> add test case for current scaling dequantize Signed-off-by:
zhongboz <zhongboz@nvidia.com> [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
zhongboz <zhongboz@nvidia.com> finish linear layer fwd bwd test, determined error with bf16 Signed-off-by:
zhongboz <zhongboz@nvidia.com> [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
zhongboz <zhongboz@nvidia.com> achieved zero tolerance for Linear by specify gemm use_split_accumulator config Signed-off-by:
zhongboz <zhongboz@nvidia.com> enable layernormlinear with current scaling, pass bitwise test Signed-off-by:
zhongboz <zhongboz@nvidia.com> refactor test case code Signed-off-by:
zhongboz <zhongboz@nvidia.com> make current scaling quantizers distrbuted, pass distributed linear&layernormlinear tests Signed-off-by:
zhongboz <zhongboz@nvidia.com> bug fix: use cached fp8 recipe in backward Signed-off-by:
zhongboz <zhongboz@nvidia.com> fix layernorm_mlp with current scaling, fix activation_helper with current scaling Signed-off-by:
zhongboz <zhongboz@nvidia.com> support detailed numerical settings from recipe to quantization kernel Signed-off-by:
zhongboz <zhongboz@nvidia.com> resolving MR comments Signed-off-by:
zhongboz <zhongboz@nvidia.com> recipe naming Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * resolve mr comments, remove IS_CURRENT_SCALING template from kernels Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * resolve mr comments, make current scaling c++ test cases Signed-off-by:
zhongboz <zhongboz@nvidia.com> * add current scaling to test_numerics.py, skip act recomp and grouped linear Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add benchmark for quantizer Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add benchmarks for linear layer Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix, typo Signed-off-by:
zhongboz <zhongboz@nvidia.com> * resolve more mr comments Signed-off-by:
zhongboz <zhongboz@nvidia.com> * avoid potential race condition by not using from_blob to construct amax tensor in C++ Signed-off-by:
zhongboz <zhongboz@nvidia.com> * resolve more comments Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Debug linter warnings and license check Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Debug import error in FP8 tensor test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug compilation error with CUDA 12.1 for Turing Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * resolve mr comments, fix activation cast fusion Signed-off-by:
zhongboz <zhongboz@nvidia.com> * resolve comments, add NVTEQuantizationParams for compute scale Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * remove is_current_scaling check totally from common folder Signed-off-by:
zhongboz <zhongboz@nvidia.com> * remove benchmarks, will contribute in another repo Signed-off-by:
zhongboz <zhongboz@nvidia.com> * adjust cs default recipe config Signed-off-by:
zhongboz <zhongboz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * adjust comments in test Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Remove current scaling mode from core lib Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Refactor current-scaling-specific logic in core C++ lib Move amax and scale update functions out of casting functions, and put into dedicated current-scaling source file. Add general API for accessing quantization config object. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add missing header in C++ tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Disable test config with FP8 transpose on Blackwell Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix compilation error in C++ test Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
zhongboz <zhongboz@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
zhongboz <zhongboz@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com>
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- 20 Feb, 2025 1 commit
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Xiaowei Ren authored
* commit some debug code Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * add more debug info Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * debug code commit and typo fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * a typo fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * remove debug info Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * do not return lse Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * add amax_per_step for quantizers of CP Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * fix FP8 + CP Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * bug fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * bug fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * dtype fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * bug fix Signed-off-by:
Xiaowei Ren <xren@nvidia.com> --------- Signed-off-by:
Xiaowei Ren <xren@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Xiaowei Ren <xren@login-preos01.a51.clusters.nvidia.com>
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- 07 Feb, 2025 1 commit
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Przemek Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
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- 02 Jan, 2025 1 commit
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Kirthi Shankar Sivamani authored
Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 25 Nov, 2024 1 commit
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buptzyb authored
* Align RNG tracker with megatron Signed-off-by:
Robin Zhang <robinz@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> * Fix module_params order and warmup bug in cudagraph Signed-off-by:
Robin Zhang <robinz@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> * Add fp8_group argument and fix fp8 accuracy issue for cudagraph Signed-off-by:
Robin Zhang <robinz@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> * Add TE modules and weights filters to support MoE models Signed-off-by:
Robin Zhang <robinz@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> * Revert self.fp8 Signed-off-by:
Robin Zhang <robinz@nvidia.com> * Use hooks to filter module params Signed-off-by:
Robin Zhang <robinz@nvidia.com> * Filter all TE modules in hooks Signed-off-by:
Robin Zhang <robinz@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> * Format code Signed-off-by:
Robin Zhang <robinz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update graph.py Signed-off-by:
Xin Yao <yaox12@outlook.com> * Revert CudaRNGStatesTracker Signed-off-by:
Robin Zhang <robinz@nvidia.com> * Format Update Signed-off-by:
Yifei Song <yifeis@nvidia.com> * Revert "Use hooks to filter module params" This reverts commit 73a22e2e8bcf43ec84c23bc844b8d16d06626e26. Signed-off-by:
Yifei Song <yifeis@nvidia.com> * Remove filtering module params Signed-off-by:
Robin Zhang <robinz@nvidia.com> --------- Signed-off-by:
Robin Zhang <robinz@nvidia.com> Signed-off-by:
Xin Yao <yaox12@outlook.com> Signed-off-by:
Yifei Song <yifeis@nvidia.com> Co-authored-by:
Yifei Song <yifeis@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Xin Yao <yaox12@outlook.com> Co-authored-by:
Xin Yao <xiny@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 14 Nov, 2024 1 commit
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Tim Moon authored
* Remove manual FP8 scale update for FP8 params Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 05 Nov, 2024 1 commit
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Tim Moon authored
* Debug CUDA graph support with operation-based API Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Refactoring CUDA graph tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Review suggestions from @ptrendx Return default recipe from FP8GlobalStateManager.get_fp8_recipe if needed. Expand error message when failing to load FP8 state after capturing CUDA graph. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Avoid unnecessary recursion when saving/loading FP8 state Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix circular import Signed-off-by:
Tim Moon <tmoon@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 23 Aug, 2024 1 commit
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Charlene Yang authored
* WIP: add fa3 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: clean up Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * WIP: add benchmarks Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * differentiate func/varlen_func Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix parsing keyword for FA3 and remove bshd->thd conversion for flash_attn_func Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: add FP8 fwd support Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add FA3 FP8 fwd code and test Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix assert for FA3 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix FA3 FP8 logic and add tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update FA2 to <=2.6.3 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * tweak unit tests for base/mask Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix lint Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix lint Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix lint Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * set constraints for FA3 for sm90 and causal_bottom_right Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * revert debug changes in benchmark script Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 14 Jun, 2024 1 commit
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Kirthi Shankar Sivamani authored
* Apply formatting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Apply formatting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 07 Jun, 2024 1 commit
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Kirthi Shankar Sivamani authored
* Remove interval arg from recipe Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Remove usage of interval and use explicit kwarg for testing recipes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 06 Jun, 2024 1 commit
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Kirthi Shankar Sivamani authored
Cleanup Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 01 May, 2024 1 commit
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Jinze Xue authored
* Handle the scaling factor when amax is too tiny that leads to an infinite scale Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * revert formatting changes Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * fix comments Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * Apply review suggestion Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jinze Xue <155670984+jinzex@users.noreply.github.com> * Apply review suggestion Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jinze Xue <155670984+jinzex@users.noreply.github.com> * Apply review suggestion Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jinze Xue <155670984+jinzex@users.noreply.github.com> * apply review suggestion Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * add test_recipe.py to qa/L0_pytorch_unittest/test.sh; fix unittest for is_first_microbatch=False Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * revert changes to update_weight_scale_inv Signed-off-by:
Jinze Xue <jinzex@nvidia.com> * Debug test failures Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Jinze Xue <jinzex@nvidia.com> Signed-off-by:
Jinze Xue <155670984+jinzex@users.noreply.github.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Jinze Xue <jinzex@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com>
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- 22 Apr, 2024 1 commit
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Tim Moon authored
* Remove unnecessary Pylint overrides Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fixes to lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 16 Apr, 2024 1 commit
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cyanguwa authored
* WIP: fp8 v1 fprop integration Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: minor fixes Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add debug info Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add more debug info Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fprop working for h1; w/ debug info Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: add bprop Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * cleanup; bprop running but has mismatches Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add gitlab frontend as submodule Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * clean up and add back v0.9.2 FE support; fprop/bprop passing with 5e-2 tols Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix after merge; add bias_b/h to caching descriptor Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * distinguish fwd/bwd tensor types for bprop Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fix for F16 cases; include added dqkv_type and d_scale_dp Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * adjust out shape for bwd in test Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add casting from/to FP8 to DPA module Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: bshd_bshd_bshd layout Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * WIP: support all sbhd/bshd layouts Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * clean up Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add qkvpacked and kvpacked support in both FusedAttnFunc and C levels Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * remove qkvpacked/kvpacked calls in DPA module (used for testing) Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * remove tp setup; add allow_non_contiguous; update FE; revert to sbh3d in tests; clean up Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add NVTE_FP8_DPA_BWD to control whether to use FP8 bwd or F16 bwd Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix MQA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix MQA/GQA in FP8 v1 API Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update FE to 705d8e3, with API change Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * test causal mask Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * restrict mha_fill for THD format Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix fused attn with CP and comment out is_alibi code Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * clean up FE0.9 vs FE1.0 FP8 implementations, and related unit tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * change NVTE_FP8_DPA_BWD default to 1, and fix its use in qkvpacked/kvpacked APIs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix lint and self.tp_size/group in FusedAttention() Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update FE to 6902c94 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add FP8 MHA support Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update to FE v1.3.0 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fixes for FP8 MHA with different configs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * emit stats regardless of is_training Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix linear when input is not Float8Tensor Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix d_out type when f16 bprop Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix user buffer for layernorm_linear/linear and revert two FP8 casts in MHA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add docstring for fp8_dpa/mha in recipe Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix backend selection to avoid FA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * replace transpose with transpose_2d Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * use RMSE for FP8 unit tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * replace two more transpose with transpose_2d Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add FP8 initialization to FusedAttention Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * rm docs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Revert "add FP8 initialization to FusedAttention" This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8. Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Change order of ctxs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * minor fixes Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add back docs and mark as beta Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fixes for tests and docs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> --------- Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 15 Apr, 2024 1 commit
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Kirthi Shankar Sivamani authored
Don't use autograd hook for bwd reduction Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 12 Apr, 2024 1 commit
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Kirthi Shankar Sivamani authored
* FP8 cuda graphs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> Co-authored-by:
Charlene Yang <charleney@nvidia.com> * Fix numerics Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * exclude torch compile from numerics tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * More numerics fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix CI Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * rm fusion from unfused path Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> Co-authored-by:
Charlene Yang <charleney@nvidia.com>
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- 08 Feb, 2024 1 commit
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Tim Moon authored
* Implement fused kernel for FP8 scale update Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add fused kernel for amax and scale update Add unit test. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Replace paddle.fluid imports with paddle.base Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Move fused kernel to core library Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use FP8 update kernel in Paddle Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug FP8 scale update in Paddle Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix lint errors Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug Paddle test failures Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Make update kernel in-place for PyTorch Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Revert cudnn-frontend commit Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 19 Jan, 2024 1 commit
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Kirthi Shankar Sivamani authored
Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 03 Jan, 2024 1 commit
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Przemyslaw Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
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- 31 Oct, 2023 1 commit
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Tim Moon authored
* Experimental FP8 tensor Co-authored-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Sudhakar Singh <sudhakars@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Add fp8 tensor to ci test Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * review comments and tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Minor changes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Default to FP8 usage Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix docs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Naming changes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * minor fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix transpose caching Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Debug transpose caching Handle case where transpose cache is updated externally. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Rename FP8GlobalStateManager.with_fp8_parameters Signed-off-by:
Tim Moon <tmoon@nvidia.com> * remove Float8Tensor from import API Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Avoid caching FP8 transposes if not required Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix import error in FP8 tensor tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix tranpose caching and checkpointing bug Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Improve caching and fix distopt case Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update transformer_engine/pytorch/float8_tensor.py Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * Remove recursive logic Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix cache reset bug Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Store FP8 attributes in dict Easier for multiple tensors to share, e.g. detached tensors. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Make sure scale_inv is 1D tensor Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Make sure scale_inv is 1D tensor Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fixes and detach recipe Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Set default fp8 data type Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Sudhakar Singh <sudhakars@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com>
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- 23 Oct, 2023 1 commit
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Kirthi Shankar Sivamani authored
* initial test fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Drop eval for selective checkpointing tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Remove redundant recompute for FA Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * CI fix; Decouple fused attention and numerics tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 12 Oct, 2023 1 commit
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Tim Moon authored
* Debug PyTorch and Paddle tests on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Only run Paddle layer tests with cuDNN fMHA on supported archs Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug PyTorch fMHA tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Reduce JAX FP8 GEMM sizes Avoid split-k kernels on Ada. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Disable JAX fused self-attention test on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Run supported fused attention tests on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Run supported fused attention JAX tests on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Enable Paddle fused attention on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update reference scale calculation in TensorFlow test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Restore backend support to reference FP8 attention impl in PyT test Review suggestion from @cyanguwa Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix merge conflicts Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug Paddle tests on Ada Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Loosen tolerances for Paddle attention tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Assume causal mask implies equal seqlens in Paddle attention tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com>
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- 23 Sep, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Change scaling factor from E8M0 to E8M23 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix formula Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 18 Sep, 2023 1 commit
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Sangkug Lym authored
Signed-off-by:Sangkug Lym <slym@nvidia.com>
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- 16 Aug, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Initial refactor Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Reorder methods by purpose Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Save full global state Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * More fixes to test Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 08 Aug, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Optimize calls to .cpu() during checkpointing Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes for ONNX Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 02 Aug, 2023 1 commit
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Kirthi Shankar Sivamani authored
Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 07 Jun, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Use torch.compile for version 2.0 and higher Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Address review Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Remove unused import Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * use torch.__version__ Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Use NVFuser for dropout fusions Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix onnx tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 01 May, 2023 1 commit
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Kirthi Shankar Sivamani authored
Fixes in nested autocast Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 18 Apr, 2023 1 commit
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Sangkug Lym authored
* amax reduction internval Signed-off-by:
Sangkug Lym <slym@nvidia.com> Skip TP-domain only AMAX reduction when TP-group is not initialized Signed-off-by:
Sangkug Lym <slym@nvidia.com> * Update transformer_engine/pytorch/fp8.py Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Sangkug Lym <slym@nvidia.com> * check TP group initialized Signed-off-by:
Sangkug Lym <slym@nvidia.com> fix Signed-off-by:
Sangkug Lym <slym@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 05 Apr, 2023 1 commit
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Sangkug Lym authored
* async amax reduction add env knob to enable async amax reduction Signed-off-by:
slym <slym@login-preos01.a51.clusters.nvidia.com> * Style fixes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * remove is_last_model Signed-off-by:
slym <slym@login-preos01.a51.clusters.nvidia.com> * fix naming Signed-off-by:
slym <slym@login-preos01.a51.clusters.nvidia.com> * revert var name Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * revert var name Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
slym <slym@login-preos01.a51.clusters.nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
slym <slym@login-preos01.a51.clusters.nvidia.com>
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- 04 Apr, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Add FP8 support for Ada Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * better message Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * lint fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Address review comments Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * better message for no fp8 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * same thing for onnx test Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix CI and review Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 29 Mar, 2023 1 commit
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tcherckez-nvidia authored
Signed-off-by:
Tal Cherckez <tcherckez@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 13 Mar, 2023 1 commit
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Kirthi Shankar Sivamani authored
* catch incorrect usage of fp8_autocast Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * catch error on first time double execution Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 24 Feb, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Remove redundant amax AR for SP case Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * update advanced docs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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