- 12 Aug, 2025 1 commit
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Tim Moon authored
* Update amax pointers when reallocating amax history in fusible ops 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 * Update weight tensor quantizer when recipe state is reset Signed-off-by:
Tim Moon <tmoon@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>
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- 23 Jul, 2025 1 commit
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Tim Moon authored
* Fix bug where TE ops were not updating fp8_meta dicts Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Rename reset_recipe_state function 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 * Update error message when initializing meta device quantized weight without recipe Signed-off-by:
Tim Moon <tmoon@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>
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- 22 Jul, 2025 1 commit
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Jan Bielak authored
* Refactor _OperationFuserAutogradFunction.forward to use less parameters Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit f8f59b1bb184e89468058521df4cfff029ad909c) * Rename `BackwardBiasActivation` to `BackwardActivationBias` Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit 397c58fc296f801fe4ad600aadc2daff3b78be45) * Use forward operation order in backward fused operations Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit 2d37a9385069b066e6cdeff3eb9173c2079cb791) * Rename `prev_op_grad_input_quantizer` to `prev_op_grad_output_quantizer` Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit d7ab5dfb23e216866f7f4fc4d7a99f625d329f1e) * Make OperationFuser persistent Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit 77984d9715d31e87519dc6ea1e02c483a81355a7) * Distribute extra inputs to and collect extra outputs from multiple module groups in Sequential Signed-off-by:
Jan Bielak <jbielak@nvidia.com> (cherry picked from commit 0716aaad542e59f2c1ac4620167965a0334bbf71) * Take requires_grad into account when fusing operations Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Change get_quantizer to return None if no quantization recipe is used Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Refactor pre_first_forward Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Fix for failing `test_make_graphed_callables[fp8_recipe0-*-True-*-linear_op]` Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Fix linting errors Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Apply suggestions from code review Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Fix fp8 meta tensors in CUDA Graph capture Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix failing distributed userbuffers tests Signed-off-by:
Jan Bielak <jbielak@nvidia.com> --------- Signed-off-by:
Jan Bielak <jbielak@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>
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- 12 Jul, 2025 1 commit
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Jan Bielak authored
* Fix clearing tensor data in backward removing is_first_op Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Misc fixes Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Use Linear weight dtype and device for compute consistently Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Add backward dbias + quantize fusion Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Pass recipe to OperationFuser to allow recipe-dependent fusions Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Remove redundant view from activations Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Add bias activation backward fusion Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Apply suggestions from code review Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Jan Bielak <jbielak@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>
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- 08 Jul, 2025 1 commit
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Jan Bielak authored
* Change pre_forward to pre_first_forward Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Fix passing invalid recipe with fp8 disabled Signed-off-by:
Jan Bielak <jbielak@nvidia.com> --------- Signed-off-by:
Jan Bielak <jbielak@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 01 Jul, 2025 1 commit
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Jan Bielak authored
* Replace `is_float8_tensor` with `is_quantized_tensor` Replace free function `is_float8_tensor` with `is_quantized_tensor` in `_common.py` and use it throughout the `ops` codebase to check if a tensor is a (possibly internal) quantized tensor Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Pass next and previous op quantizers directly to op_forward and fuser_forward Change interface of `fuser_forward` and `op_forward` to no longer take preceding and following ops and instead take the following op's input quantizer and preceding op's input gradient's quantizer directly Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Remove use redundant `detach` in `BasicLinear` Remove use of `detach` in `BasicLinear` for improved performance (enabled by not passing prev_op to backward) Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Handle saving internal tensors Handle saving internal tensors in `_OperationFuserAutogradFunction` using `prepare_for_saving` and `restore_from_saved` Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Use internal tensors Enable use of internal tensors in `BasicLinear` quantizers and fix issues resulting from internal tensors not having methods that regular tensors have Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Apply suggestions from code review Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Jan Bielak <jbielak@nvidia.com> --------- Signed-off-by:
Jan Bielak <jbielak@nvidia.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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- 09 Apr, 2025 1 commit
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Tim Moon authored
* Debug checkpointing with te.Sequential 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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- 27 Mar, 2025 1 commit
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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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- 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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- 05 Dec, 2024 1 commit
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Tim Moon authored
Store module extra state in tensor Signed-off-by:Tim Moon <tmoon@nvidia.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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- 13 Nov, 2024 1 commit
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Tim Moon authored
Debug ONNX export with te.Sequential ONNX export assumes that all state dict objects are tensor, even extra state. Signed-off-by:Tim Moon <tmoon@nvidia.com>
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- 05 Nov, 2024 3 commits
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Tim Moon authored
* Add layer norm op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add FP8 cast op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add tests for linear and layernorm with FP8 output Signed-off-by:
Tim Moon <tmoon@nvidia.com> * RMSNorm op 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 * Fix linter warnings Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Replace LayerNorm module with LayerNorm op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Replace RMSNorm module with RMSNorm op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add AMP support 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 * Do not save autograd context if grad mode is disabled Debugging ONNX export 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 * Forward args in pre_forward func to base op class Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update to use QuantizedTensor class Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Apply suggestions from code review Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Review suggestions from @ptrendx Rename "CastFloat8" op to "Quantize". Add more fine-grained control for SM margin. Add docs for legacy sequence_parallel kwarg. 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 * Fix linter warnings Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use weight dtype as default compute dtype Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix linter warnings 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> 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> Co-authored-by:
Przemyslaw Tredak <ptrendx@gmail.com>
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Tim Moon authored
* Debug checkpointing with operation-based API 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 * Store checkpoint FP8 state on CPU Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix bug where linear op was saving params multiple times Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix linter warnings Signed-off-by:
Tim Moon <tmoon@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>
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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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- 16 Oct, 2024 1 commit
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Kirthi Shankar Sivamani authored
* Upgrade pylint and first round formatting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * round 2 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * round 3 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Format and fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Paddle lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Reviews Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * FIxes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * More linting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Run formatter Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Paddle lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 10 Aug, 2024 1 commit
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Tim Moon authored
* Add op for in-place add Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add op for in-place add Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add op that adds extra output to fuser Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add fused op for GEMM+bias+add Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add fused op for dgrad+add Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add documentation 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 * Fix linter warnings Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Review suggestions from @ptrendx Output tensor dtype and device take precedence over weight tensor in linear functional API. Move some index calculation to fuser constructor. Avoid some unnecessary dereferences. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug test failures Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update transformer_engine/pytorch/ops/fuser.py 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> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 09 Jul, 2024 1 commit
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Tim Moon authored
* Add basic infrastructure for Sequential module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add linear op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add FP8 support in linear op Runs, but need to validate. Runtime errors with non-FP8 params and FP8 compute, or FP8 params and non-FP8 compute. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add reshape op and unit test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add bias op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add unfused linear op Test does not pass with FP8. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug unfused linear op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add test for linear+bias op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add separate abstract classes for unfused and fused ops Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Consolidate unfused ops in submodule Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add linear-bias fused op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use fused cast-transpose in linear ops Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Disable GEMM+bias fusion with FP32 activations Not supported by cuBLAS. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add parallel unit test for unfused linear op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Refactor parallel tests to reduce job launches Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add all-reduce, all-gather, and reduce-scatter ops Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove unused file Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug multi-GPU FP8 test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add support for FP8 scale updates Still need to implement amax reductions. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add license boilerplate Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fuse GEMM+bias in row TP Add documentation for unfused ops Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Rename pipeline to fuser Expand documentation Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Tweak documentation Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Preserve cached FP8 transpose between ops Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add option for fused wgrad accumulation Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Directly output FP8 from linear if needed Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix cuDNN front-end commit Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use updated FP8 tensor API for transpose caching Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use updated API for FP8 scale updates Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add tests for non-default FP8 recipes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Rename UnfusedOperation to BasicOperation Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add unit test to check amax reduction with fusable op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Operator autograd state no longer needs to be initialized Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Initial functional implementation of linear op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug fused linear+bias op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove autograd context from functional linear impl Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use functional linear impl in fused linear+bias op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Rename subdirectory from "fuser" to "ops" Avoid confusion with kernel fusers and graph compilers. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update with Float8Tensor changes in #820 Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove unnecessary CPU overheads Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Correctly pass FP8 metadata from next op Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix linter errors Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add convenience functions to manipulate Sequential class Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update name of PyTorch extensions module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Clear saved tensor data in linear op after bprop Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix Pylint error Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update name of PyTorch extensions module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix test name in QA script Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update name of PyTorch extensions module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Run distributed tests even when only 1 GPU is available Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Only run distributed tests with 2 GPUs if there are >=2 GPUs 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 @sudhakarsingh27 and @ksivaman Fix spelling of "fusible". Avoid "input" name in internal APIs. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Update transformer_engine/pytorch/ops/__init__.py 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> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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