- 08 Aug, 2025 1 commit
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yuguo authored
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- 08 Jul, 2025 1 commit
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yuguo authored
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- 03 Jul, 2025 1 commit
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wenjh authored
Signed-off-by:wenjh <wenjh@sugon.com>
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- 01 Jul, 2025 1 commit
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wenjh authored
Add env to chose blocklen of blockwise quantize. Signed-off-by:
wenjh <wenjh@sugon.com> Fix pytest of blockwise error Signed-off-by:
wenjh <wenjh@sugon.com> Resolve new api in int8 gemm test Signed-off-by:
wenjh <wenjh@sugon.com> Fix incorrect launch parm Signed-off-by:
wenjh <wenjh@sugon.com> Fix 1D blockwise(64) acc error Signed-off-by:
wenjh <wenjh@sugon.com>
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- 12 Jun, 2025 1 commit
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wenjh authored
Signed-off-by:wenjh <wenjh@sugon.com>
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- 09 Jun, 2025 1 commit
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yuguo authored
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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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- 26 May, 2025 1 commit
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wenjh authored
Use ocp fp8. Workaround: test_cast_float8blockwise.cu link wrong std::max Signed-off-by:wenjh <wenjh@sugon.com>
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- 22 May, 2025 1 commit
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Kirthi Shankar Sivamani authored
Document all recipes Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 21 May, 2025 1 commit
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yuguo authored
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- 19 May, 2025 1 commit
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Evgeny Tsykunov authored
* Check tensor-recipe compatibility Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Tensor class in recipe, checking for *Base Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Extend recipe __repr__ with recipe_type Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Warn about recipe change Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Enable dynamic recipe change: clear fp8 workspace Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * TE 1.x checkpoint compatibility Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Disable warning for recipe wrappers Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Test recipe change Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use QuantizedTensorBase Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Fix circular import Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Revert previous circular import fix Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * Fix pytorch imports in common Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Let quantizer know about the recipe Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix imports Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> --------- Signed-off-by:
Evgeny Tsykunov <etsykunov@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptredak@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 14 May, 2025 1 commit
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wenjh authored
Add rules of cuda_runtime.h, cuda_driver.h and cuda_nvml.h to hip. Signed-off-by:wenjh <wenjh@sugon.com>
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- 30 Apr, 2025 1 commit
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Kirthi Shankar Sivamani authored
* Move FP8 block scaling kernels to core Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix symbol error Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix arg Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.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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- 01 Apr, 2025 1 commit
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yuguo authored
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- 27 Mar, 2025 2 commits
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Kirthi Shankar Sivamani authored
* Cleanup sanity tests and add CS recipe tests Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix sanity test Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix CG capture with CS recipe Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix ops for CG Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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yuguo authored
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- 25 Mar, 2025 1 commit
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Kirthi Shankar Sivamani authored
Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.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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- 15 Mar, 2025 1 commit
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Li Tao authored
* support tp-comm-overlap in Current Scaling recipe Signed-off-by:
Li Tao <lit@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * clean Signed-off-by:
Li Tao <lit@nvidia.com> * fix test recipe argument to generalize to MXFP8 Signed-off-by:
Li Tao <lit@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Reduce duplicated transpose in certain cases Signed-off-by:
Li Tao <lit@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Use per_tensor_scaling() to judge DS or CS Signed-off-by:
Li Tao <lit@nvidia.com> * minor fixes Signed-off-by:
Li Tao <lit@nvidia.com> * change comment description Signed-off-by:
Li Tao <lit@nvidia.com> * add multi-layer unit test for tp overlap Signed-off-by:
Li Tao <lit@nvidia.com> * support test case that run for several times Signed-off-by:
Li Tao <lit@nvidia.com> * avoid save ub tensor in prepare_for_saving Signed-off-by:
Li Tao <lit@nvidia.com> * fix Signed-off-by:
Li Tao <lit@nvidia.com> * switch to a simple fix Signed-off-by:
Li Tao <lit@nvidia.com> * formatting Signed-off-by:
Li Tao <lit@nvidia.com> * simply test cases; avoid additional clone() Signed-off-by:
Li Tao <lit@nvidia.com> * fall back to get_buffer in layernormmlp Signed-off-by:
Li Tao <lit@nvidia.com> * use 2 layers for fp8 tpoverlap multi-layer test for better tolerance, limit max gpus for test 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:
Li Tao <lit@nvidia.com> Signed-off-by:
zhongboz <zhongboz@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
zhongboz <zhongboz@nvidia.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:
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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- 12 Feb, 2025 1 commit
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Przemyslaw Tredak authored
* Updated docs for TE 2.0 Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Do not expose comm_gemm_overlap and cast_transpose_noop Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Made the figures larger Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Apply suggestions from code review Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Przemyslaw Tredak <ptrendx@gmail.com> * Update quickstart_utils.py 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 * Change from review 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:
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:
Kirthi Shankar Sivamani <ksivamani@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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- 10 Jul, 2024 1 commit
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Charlene Yang authored
* add cuDNN swa Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix SWA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add set_deterministic and minor fixes for swa Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add AttentionParams Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * change window_size to int64_t; fix swa/determinism tests; cache _attention_backends Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add window_size to get_backend; fix jax and paddle Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fixes; add set_deter to bwd_impl Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix unit tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix FP8 tests due to determinism Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add support matrix for SWA and bias 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 * minor fixes and 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 * minor fixes Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add wording on window_size special cases Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor tweak on wording Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix jax assertion error Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix wording Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * call bwd with deterministic=true for jax/paddle Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add determinism words in documentation Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> --------- 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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- 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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- 30 Apr, 2024 1 commit
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Kirthi Shankar Sivamani authored
Signed-off-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:
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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:
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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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- 12 Apr, 2024 2 commits
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Kirthi Shankar Sivamani authored
Fix 0 grid size Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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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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