- 13 Jun, 2025 1 commit
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Oleg Goncharov authored
* Added support of FP4 data type Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Refactoring to BitsNum in progress Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Fixed compilation errors. All C++ tests passed Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Fixed a typo Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added FP4 guard to TMA tensor descriptor data type Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed errors in JAX C++ extensions Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Removed dummy NVFP4 C++ test file Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Make pytorch changes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Refactored the code per the review notes. Fixed JAX build error. Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Removed unnecessary static casts Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Typo fix Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Pass correct num bits to create_2D_tensor_map; fixes CI Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * inline funcs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 06 Jun, 2025 1 commit
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Zhongbo Zhu authored
[PyTorch] FP8 Subchannel Recipe With FP8 Gather And Configurable Scaling Factor Tensor Swizzling (#1707) * functional kernel for columnwise + no-transpose option, still hacky Signed-off-by:
zhongboz <zhongboz@nvidia.com> * pass all quantizer unit tests 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 * refactor, add gemm ready api 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 * make format options private members, simplify api Signed-off-by:
zhongboz <zhongboz@nvidia.com> * swizzle scales right before gemm Signed-off-by:
zhongboz <zhongboz@nvidia.com> * bug fix of single layer test Signed-off-by:
zhongboz <zhongboz@nvidia.com> * attempt to fix lint issue 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 * fp8 gather pass, need minor refine 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 * fix return_layernorm_output_gathered case Signed-off-by:
zhongboz <zhongboz@nvidia.com> * remove special cases, add sanity check before gemm Signed-off-by:
zhongboz <zhongboz@nvidia.com> * fix lint Signed-off-by:
zhongboz <zhongboz@nvidia.com> * lint ungrouped imports 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 * Implement dequantize for compact 1D blocks. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * add more unit test with dequantize compact supported Signed-off-by:
zhongboz <zhongboz@nvidia.com> * lint again Signed-off-by:
zhongboz <zhongboz@nvidia.com> * make ag for subchannel respect async Signed-off-by:
zhongboz <zhongboz@nvidia.com> * zero tolerance in distributed test Signed-off-by:
zhongboz <zhongboz@nvidia.com> * fix zero tolerance test Signed-off-by:
zhongboz <zhongboz@nvidia.com> * resolve rebase issues Signed-off-by:
zhongboz <zhongboz@nvidia.com> * lint & format Signed-off-by:
zhongboz <zhongboz@nvidia.com> * fix lint Signed-off-by:
zhongboz <zhongboz@nvidia.com> * clean up Signed-off-by:
zhongboz <zhongboz@nvidia.com> * bug fix Signed-off-by:
zhongboz <zhongboz@nvidia.com> * relax rtol for fp32 distributed test Signed-off-by:
zhongboz <zhongboz@nvidia.com> * fix some ci issue Signed-off-by:
zhongboz <zhongboz@nvidia.com> * fix ci test failure in debug mode Signed-off-by:
zhongboz <zhongboz@nvidia.com> * Force row-wise and column-wise data to have same data format Prototype "all-gather usage" in quantizer. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove dead logic for high-precision AGs 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 FP8 block-wise tensor tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug distributed test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Handle case where LayerNormLinear returns gathered norm output Signed-off-by:
Tim Moon <tmoon@nvidia.com> * fix debug mode Signed-off-by:
zhongboz <zhongboz@nvidia.com> --------- Signed-off-by:
zhongboz <zhongboz@nvidia.com> Signed-off-by:
Keith Wyss <kwyss@nvidia.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:
Keith Wyss <kwyss@nvidia.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 29 May, 2025 1 commit
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Przemyslaw Tredak authored
* Changed the Tensor allocation strategy Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fixes Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Disable debug flag Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix the double free error Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fixed pyTorch recipe extension Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Hide TensorAllocator and fix the usage in LayerNorm Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleaning Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix permutation Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> --------- Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@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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- 04 Apr, 2025 1 commit
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kwyss-nvidia authored
* Blockwise float8 quantizer and quantized tensor class. The classes are configurable for 128x128 blocksize and 1x128 blocksize via setting block_scaling_dim == 2,1 respectively. Scale tensors are stored in a format emenable for matrix multiplication, however the integration of matmul is deferred as a separate story. Fusions of quantization and DBIAS or activation functions are not yet implemented, and the dequantization is currently implemented in torch. Tests for quantization are included in C++ and pytorch layers, with exact comparison to reference quantizer behavior as well as an attempt to hit interesting branches through the API such as tensor creation in pytorch and CPP and dequantization of row and columnwise usage. Two CUDA kernels for quantization are included, and are direct ports of equivalents in the kitchen repository, where a subchannel recipe has been used for end to end training. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Apply linting changes. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Alignment for 1D scaling for GEMM edge case. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Change API name. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Fix merge conflict with name change. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Use common tensor map API. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Change API to use two scaling mode enums. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Fix typo. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update some call sites. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Tests for torch tensor API surface. Since the quantized tensor is a tensor subclass, these tests exercise torch hooks. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Reuse scale calculation between quantizer refs. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Save memory by dropping reference to saved tensors. Issues previously observed are solved. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Remove constexpr parameters from kernel. Code size is reduced with fewer constexpr params. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Merge conflict from rebase. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add shape implementations for block scaling. nvte_shape was added upstream. Logic added for block scaled fp8. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Move benchmark to te_playground Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Remove amax_epsilon and pow_2_scales from tensor. Hardcodes the default values. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Lint changes. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Fixup MR changes that broke. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Safer ifdef in kernel. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Documentation prose. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Reuse compute_scale function from Current Scaling. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Bugfix on inf_value scale refactor. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Remove qopt calls from test. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update pytest list. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Add copyright to reference scale calc. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Use ptx.cuh functions instead of cde. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update shape logic with allocation and reuse shape. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Usage defaults MR feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Copyright and header guard. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Updating torch dispatch code. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Fix exception type. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Use TypeInfo Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * MR feedback. Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * Update CS scale update test to use updated ref impl Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update JAX scaling mode enum Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Skip tests on Lovelace Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Keith Wyss <kwyss@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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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:
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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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- 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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- 21 Aug, 2024 1 commit
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Tim Moon authored
* Perform scale-inv update in cast-transpose kernels Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Perform scale-inv update in cast and activation kernels Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Perform sclae-inv update in LayerNorm and RMSNorm kernels Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Perform scale-inv update after FP8 GEMMs Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fuse casts and scale-inv updates in linear module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fuse casts and scale-inv updates in layernorm-linear module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Simplify kernel to update FP8 scale-inv Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix typos Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug amax update in layernorm kernels 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 test failures Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug ONNX export Use quantization scaling factor in ONNX quantize op. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Review suggestion from @ptrendx Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * Debug mismatched dtypes 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:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 10 Jul, 2024 1 commit
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Tim Moon authored
Reduce CUDA driver API calls when choosing transpose kernels Signed-off-by:Tim Moon <tmoon@nvidia.com>
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- 15 Jun, 2024 1 commit
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Phuong Nguyen authored
* rm tensor check if the workspace is empty Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * add trust_remote=true for load_dataset() in the mnist test Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.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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- 12 Jun, 2024 1 commit
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Oleg Goncharov authored
* Merged CT+dbias+dact into a single template Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Moved gated activations ifrom the cast_transpose_fused ito a sseparate cpp file Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Update transformer_engine/common/transpose/cast_transpose_fusion.cu Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Update transformer_engine/common/transpose/cast_transpose_fusion.cu Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Reverted the change with the file split Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Implemented JIT compiled kernels Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Replaced aligned statically compiled kernels with JIT kernels. Added support of various activations functions for JIT kernels. Cleaned up the code per the code review Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> --------- Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 05 Jun, 2024 1 commit
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Oleg Goncharov authored
* Merged CT+dbias+dact into a single template Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Moved gated activations ifrom the cast_transpose_fused ito a sseparate cpp file Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Code clean up Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Update transformer_engine/common/transpose/cast_transpose_fusion.cu Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Update transformer_engine/common/transpose/cast_transpose_fusion.cu Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> * Reverted the change with the file split Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> --------- Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 13 May, 2024 1 commit
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Phuong Nguyen authored
* renamed gelu to act * added relu, srelu, qgelu * fixes initialization for layernorm_fp8_mlp tests * moved activation_fp8 prim into testunit file * Moved NVTE_Activation_Enum to common/.../activation.h --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 03 May, 2024 1 commit
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Phuong Nguyen authored
* templated primitives and respective C++ functions Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes for LayerNormMLP, tests in test_custom_compute all passed Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * added default arg for pybind get_workspace_size funcs Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes for TestTransFormer with non-gated act tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * renamed gelu to act Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * improved enum implementation, avoid using magic numbers Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Exposed C++ ActivationEnum to python side Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Changed error messages Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * changed conditional check on input shape for dbias_cast_transpose Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * changed dtype (tol) for bias grad tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes so that layer_norm_fp8_mlp can take bias = None Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Set bias = None in flax modules Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 24 Apr, 2024 2 commits
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Phuong Nguyen authored
* Implemented swiglu and silu Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Renamed nvte-*silu to nvte-*swish + generalized GetDBiasDact functions Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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Phuong Nguyen authored
* combined layernorm_geglu with layernorm_gelu into fused_layernorm Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes to pass all unit tests in test_custom_call_compute.py, test_layer.py, and test_praxis_layer.py Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * cleaning and formatting Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * renaming based on reviewers suggestions Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * implemented partial fused layernorm Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * geglu + bias passed tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * added partial fused calculation for dbias_1 Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * clean up Co-authored-by:
Alp Dener <adener@nvidia.com> Signed-off-by:
Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Signed-off-by:
Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com> Co-authored-by:
Alp Dener <adener@nvidia.com>
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- 19 Apr, 2024 1 commit
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Tim Moon authored
* Add NVRTC kernels for cast-transpose Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update copyright year Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add noop flag to NVRTC cast-transpose kernel Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Apply suggestions from code review Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.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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- 02 Feb, 2024 1 commit
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Ming-Xu Huang authored
* Adding support of sequence parallelism Signed-off-by:
Ming Huang <mingh@nvidia.com> * Adding RoPE Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix wrong batch_logical_axes Signed-off-by:
Ming Huang <mingh@nvidia.com> * Rnaming FSDP outer env var Signed-off-by:
Ming Huang <mingh@nvidia.com> * Poring RoPE to Praxis layers. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Porting GeLU + [FP8 Cast]. Signed-off-by:
Ming Huang <mingh@nvidia.com> * WAR to make XLA successfully match FP8 GEMM on FFN1 with GeLU. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Allowing arbitrary dimension of NVShape for the workspace allocation Signed-off-by:
Ming Huang <mingh@nvidia.com> * Adding checkpoint_name to fused functions of mlp.py to get better perf with nn.scan. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Modify with review feedback. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix bugs Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix typo. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fixed for lint Signed-off-by:
Ming Huang <mingh@nvidia.com> * Follow review feedback to modify code. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix typo. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Port SP to Praxis Signed-off-by:
Ming-Xu Huang <mingh@nvidia.com> * Fix an issue when enabling both GQA and RoPE. Signed-off-by:
Ming-Xu Huang <mingh@nvidia.com> * Update docs Signed-off-by:
Ming-Xu Huang <mingh@nvidia.com> --------- Signed-off-by:
Ming Huang <mingh@nvidia.com> Signed-off-by:
Ming-Xu Huang <mingh@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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- 25 Aug, 2023 1 commit
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cyanguwa authored
fix rng_state issue and minor compiler warning Signed-off-by:Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
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- 13 Jun, 2023 1 commit
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Przemyslaw Tredak authored
* Added ReLU and GLU variants to common Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * pyTorch changes Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * PyTorch C++ lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Bug fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * More fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix storage errors Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Compute bgrad Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix numerical tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix ONNX export tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Review comments Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 19 May, 2023 1 commit
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Tim Moon authored
* Initial implementation of NVRTC infrastructure Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Initial NVRTC impl for transpose NVRTC gives compilation errors at runtime. Everything else compiles and passes tests as expected. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug NVRTC transpose impl NVRTC kernel compiles, runs, and passes tests with FP32. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use variadic template for kernel arguments in RTC kernel launch func Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Refactoring Added utility header for CUDA Runtime API. Optimized concat_strings function. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add helper function for regex substitutions in strings Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add option to disable NVRTC support Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add support for header includes in NVRTC kernels Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Access lazily-initialized CUDA driver lib and add option to specify CUDA header dir Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Configure NVRTC transpose kernel with simple perf model Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Revert change to tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Style fixes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add prime-valued test cases Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix multiple definition error Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Optimize NVRTC transpose kernel for small data sizes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Mention NVRTC in docs Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add unit tests for NVRTC and string utils Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add comment in install docs about NVRTC Review suggestion from @nouiz Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug perf model for RTC transpose kernel Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove NVRTC discussion from docs Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Require CUDA headers unless NVRTC is explicitly disabled Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use diagonal coords in transpose kernel to avoid partition camping Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use std::call_once for thread-safety Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Minor fixes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug CMake error Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove unnecessary call_once Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove diagonal coordinates from transpose kernel Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use size_t indices instead of int Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Review suggestions from @ptrendx Check build-time CUDA include path for run-time CUDA headers. Handle case where CUDA context is initially uninitialized. Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com>
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- 21 Mar, 2023 1 commit
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vasunvidia authored
* Initial commit for fp8_transpose_dbias kernel Signed-off-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> * lint fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Suggestions and fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 17 Mar, 2023 1 commit
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Tim Moon authored
Signed-off-by:Tim Moon <tmoon@nvidia.com>
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- 17 Jan, 2023 1 commit
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Kirthi Shankar Sivamani authored
* Move scale inverse calculation to framework Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * cleanup Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix RMSNorm Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix gated kernel/geglu Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 12 Jan, 2023 1 commit
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Przemyslaw Tredak authored
* Add NVTX to TE modules Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix pylint Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix NVTX in _prepare_backward Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Add NVTX to C API Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix cpplint and link nvToolsExt Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Add NVTX to GeGlu Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Signed-off-by:
Przemek Tredak <ptredak@nvidia.com>
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- 10 Jan, 2023 1 commit
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zlsh80826 authored
* Add GeGLU and DGeGLU Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add DGeGLUCT Signed-off-by:
Reese Wang <rewang@nvidia.com> * Update copyright year Signed-off-by:
Reese Wang <rewang@nvidia.com> * Refine shape check Signed-off-by:
Reese Wang <rewang@nvidia.com> * Code refine Signed-off-by:
Reese Wang <rewang@nvidia.com> Signed-off-by:
Reese Wang <rewang@nvidia.com>
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- 03 Jan, 2023 1 commit
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Przemyslaw Tredak authored
Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Signed-off-by:
Przemek Tredak <ptredak@nvidia.com>
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- 08 Dec, 2022 1 commit
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Przemyslaw Tredak authored
* Move the amax/scale/scale_inv into the TE Tensor struct. Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Handle multi_cast_transpose Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Changed softmax to new Tensor Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * First pass at the cpp tests Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Round of fixes Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix multi_cast_transpose Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fix cast_to_fp8 Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Signed-off-by:
Przemyslaw Tredak <ptrendx@gmail.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 28 Nov, 2022 1 commit
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Tim Moon authored
* Add kernel for multi-tensor cast-transpose Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix incorrect test function in multi-tensor cast-transpose unit test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove std::vector from multi-tensor cast-transpose function signature Makes sure the main header is C-compatible. Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptredak@nvidia.com>
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- 08 Nov, 2022 1 commit
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Przemyslaw Tredak authored
Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> Signed-off-by:
Przemek Tredak <ptredak@nvidia.com>
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- 28 Sep, 2022 1 commit
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Przemek Tredak authored
Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Przemek Tredak <ptredak@nvidia.com>
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