- 31 Jul, 2024 1 commit
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Przemyslaw Tredak authored
* Ensure that the inputs to custom calls are contiguous Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fixes Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Added test Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> * Fixes 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 * Fixes from review 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 typo 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:
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:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 23 Jul, 2024 2 commits
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Alp Dener authored
[PyTorch] Fixing hang in `initialize_ub()` for multi-node runs after PR901 removal of MPI-dependence (#986) * Re-implementing PR901 (removing MPI-dependence in Userbuffers) with multi-node fixes * passing data-parallel rank/size info from torch.distributed to userbuffers Signed-off-by:
Alp Dener <adener@nvidia.com> * multi-node example working with UB_SKIPMC=1 but not with multicast Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed multi-node hang in initialize_ub(), updated comm+GEMM overlap example to support multi-node mixed tensor/data parallelism, added README Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed use case when Userbuffers is asked to allocate the TP overlap buffer with UB_SKIPMC=1 Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected example problem to set device by local ordinal instead of global process rank Signed-off-by:
Alp Dener <adener@nvidia.com> * double-free fix in userbuffers destructor Signed-off-by:
Alp Dener <adener@nvidia.com> * removed unnecessary and incorrect torch.cuda.set_device(...) Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected inter-node ranks logic Signed-off-by:
Alp Dener <adener@nvidia.com> * generalized node ID logic in initialize_ub to handle arbitrary world rank layouts within node Signed-off-by:
Alp Dener <adener@nvidia.com> * added single-node comm+GEMM overlap unit tests Signed-off-by:
Alp Dener <adener@nvidia.com> * LayerNormMLP example confirmed working with 2 nodes on Eos Signed-off-by:
Alp Dener <adener@nvidia.com> * unit test cleanup Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected DP group ranks logic in LNMLP comm+GEMM overlap example Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected enums in unit test Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed incorrect Ubuf object init signature Signed-off-by:
Alp Dener <adener@nvidia.com> * switched default backend for Userbuffer bootstrapping to Gloo with MPI and NCCL fallbacks, and initialize_ub option to manually select backend Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed all comm+GEMM overlap unit tests Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected all_gather use for Gloo backend Signed-off-by:
Alp Dener <adener@nvidia.com> * changed userbuffers allgather callback to always use all_gather() instead of all_gather_into_tensor() Signed-off-by:
Alp Dener <adener@nvidia.com> * restored and verified old MPI-based bootstrapping via NVTE_UB_WITH_MPI=1 option at compile time Signed-off-by:
Alp Dener <adener@nvidia.com> * disabled scoped GIL release for comm+GEMM overlap algorithms Signed-off-by:
Alp Dener <adener@nvidia.com> * avoid dist.init_device_mesh in comm+GEMM overlap example to support older PyTorch versions Signed-off-by:
Alp Dener <adener@nvidia.com> * applied RS overlap FP8 fix from PR1004 Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed segfault in Userbuffers destructor Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected comm+GEMM overlap unit test arguments Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed unit test run command for when Userbuffers is compiled with MPI Signed-off-by:
Alp Dener <adener@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Refactored torch.distributed collectives into pure C++ callbacks Signed-off-by:
Alp Dener <adener@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Selvaraj Anandaraj authored
* removed unwanted memcpyDtoD/fixed weight parametrisation Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> Co-authored-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 22 Jul, 2024 1 commit
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Selvaraj Anandaraj authored
* Fixed convergence issues Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> * Update transformer_engine/pytorch/module/layernorm_linear.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update transformer_engine/pytorch/module/layernorm_mlp.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Update transformer_engine/pytorch/module/linear.py Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Selvaraj Anandaraj <selvaraja@login-eos02.eos.clusters.nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 17 Jul, 2024 1 commit
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vasunvidia authored
* DGRAD_RS UB overlap Bug fixes Signed-off-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Vasudevan Rengasamy <vrengasamy@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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- 08 Jul, 2024 1 commit
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Xin Yao authored
* remove implicit padding and unpadding Signed-off-by:
Xin Yao <xiny@nvidia.com> --------- Signed-off-by:
Xin Yao <xiny@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>
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- 01 Jul, 2024 1 commit
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Charlene Yang authored
* update FE to 1.5.2 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * enable unfused attn for cross attn Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * unify logging info Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * omit cudnn 9.1.1 and 9.2.1 due to bugs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * set cu_seqlens_padded to cu_seqlens by default Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * replace variable name with ctx.variable Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * Revert "enable unfused attn for cross attn" This reverts commit bc49f14fca904217a711b4a86c45a4a739a17a14. Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * restrict cudnn version for fp8 tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * remove mha_fill for FP8 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * Revert "remove mha_fill for FP8" This reverts commit 83ffc44114dc6eb3d426d742b6c5a4d34805ec04. Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * lower cudnn version to >=9.2.1 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 25 Jun, 2024 1 commit
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Xin Yao authored
* GroupedGEMM via multi-stream cublas * fix A/B is nullptr while D is not nullptr * add fp8 grouped gemm * register with TorchScript * add the GroupedLinear layer --------- Signed-off-by:
Xin Yao <xiny@nvidia.com> Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Jiang Shao <jiangs@nvidia.com> Co-authored-by:
Qi Zhang <qizhang@nvidia.com> Co-authored-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 17 Jun, 2024 1 commit
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Sangkug Lym authored
* Add the option to use SM for P2P comm in TP overlap Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup Signed-off-by:
Sangkug Lym <slym@nvidia.com> * Python formatting with black Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Format C++ with clang-format 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 transformer_engine/pytorch/csrc/comm_gemm_overlap.h Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-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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- 15 Jun, 2024 1 commit
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Charlene Yang authored
* subclass DPA with BaseModule and test with test_gpt_checkpointing Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * test DPA only Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * test save and load Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * remove debug info Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor tweaks Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor tweak Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add hook in case core_attention._extra_state is missing Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * check named buffers in BaseModule; remove FP8 scratchpad override function; test FP8 for sm90+ 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: test size, interval in recipe, named_buffer loop Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * move BaseModule from FusedAttention to DPA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 14 Jun, 2024 1 commit
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Kirthi Shankar Sivamani authored
* Apply formatting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Apply formatting Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 13 Jun, 2024 1 commit
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Alp Dener authored
* added DL framework callbacks for bootstrapping userbuffers without MPI Signed-off-by:
Alp Dener <adener@nvidia.com> * removed userbuffers availability check in TE modules since userbuffers is now always compiled Signed-off-by:
Alp Dener <adener@nvidia.com> * added comm+GEMM overlap example with LayerNormMLP Signed-off-by:
Alp Dener <adener@nvidia.com> * lintin and review fixes Signed-off-by:
Alp Dener <adener@nvidia.com> * linting and review fixes Signed-off-by:
Alp Dener <adener@nvidia.com> * added header guards Signed-off-by:
Alp Dener <adener@nvidia.com> * removed defunct userbuffers checks in build_utils and setup.py Signed-off-by:
Alp Dener <adener@nvidia.com> * added exposed API in modules/base.py to __all__ Signed-off-by:
Alp Dener <adener@nvidia.com> * removed transformer_engine/CMakeLists.txt and shifted all TE/common compile into transformer_engine/common/CmakeLists.txt Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 07 Jun, 2024 1 commit
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Alp Dener authored
* New TE wrapper for PyTorch FullyShardedDataParallel to make TE modules distribute their activations after the forward pass and gather them before the backward pass Signed-off-by:
Alp Dener <adener@nvidia.com> * simplified TE module setup for FSDP comms Signed-off-by:
Alp Dener <adener@nvidia.com> * FSDP scatter/gather for tensors saved into autograd ctx now working for base TE modules Signed-off-by:
Alp Dener <adener@nvidia.com> * make sure activation recompute disables FSDP scatter/gather Signed-off-by:
Alp Dener <adener@nvidia.com> * make sure Fp8 weight buffers are sharded at the end of the backward pass and gathered before forward Signed-off-by:
Alp Dener <adener@nvidia.com> * Fixed typo in attribute name Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed bug in finding FSDP-wrapped TE modules Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed typo in fp8 weight tensor name Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed incorrect # of gradients Signed-off-by:
Alp Dener <adener@nvidia.com> * Added fp8 amax gradient hook tensor to the parameter reset Signed-off-by:
Alp Dener <adener@nvidia.com> * get rid of erroneous dummy tensor leftover from incorrect rebase Signed-off-by:
Alp Dener <adener@nvidia.com> * Linting fixes Signed-off-by:
Alp Dener <adener@nvidia.com> * fixing git snafu and removing debug statements Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 06 Jun, 2024 1 commit
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Kirthi Shankar Sivamani authored
Cleanup Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 30 May, 2024 1 commit
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Tim Moon authored
* Initial refactor of FP8 workspaces in Linear module Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove extra kernel launch Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Minor perf optimizations Tensor base class functions in Float8Tensor have significant overhead. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug FP8 recipe test Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Refactor FP8 workspaces in LayerNormLinear and LayerNormMLP Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Document FP8 workspace function Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Revert changes to FP8 recipe tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add support for lazy FP8 transpose caching Previous caching behavior (always fill cache) incorrectly filled cache during CUDA graph warmup steps. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix Pylint warnings Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug ONNX export ONNX FP8 cast ops assumed that FP8 scales were created during model export (i.e. not initialized during training). Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug fused attention tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Make sure Float8Tensor.transpose_2d is backward compatible Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Revert changes to ONNX export operations Work around ONNX test failures by filling FP8 scale tensors instead of copying into them. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug scale factor update in Float8Tensor transpose_2d Signed-off-by:
Tim Moon <tmoon@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com>
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- 20 May, 2024 1 commit
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Paweł Gadziński authored
* Calibration fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * Lint fix Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> --------- Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> Co-authored-by:
Pawel Gadzinski <pgadzinski@nvidia.com>
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- 16 May, 2024 1 commit
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Phuong Nguyen authored
* added squared relu in te-torch Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 29 Apr, 2024 1 commit
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Zhenhuan Liu authored
* Add support for MoE with FP8. Signed-off-by:
Dennis Liu <denliu@nvidia.com> * Fix unittest. Signed-off-by:
Dennis Liu <denliu@nvidia.com> * Fix error in linear backward. Signed-off-by:
Dennis Liu <denliu@nvidia.com> --------- Signed-off-by:
Dennis Liu <denliu@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptredak@nvidia.com>
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- 22 Apr, 2024 1 commit
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Tim Moon authored
* Remove unnecessary Pylint overrides Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fixes to lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Tim Moon <tmoon@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 19 Apr, 2024 1 commit
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Tim Moon authored
* Support noop concat without providing full tensor Stop storing fused buffers in linear modules. Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Debug noop cat func Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Construct TE modules in tests with correct dtypes Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Add tolerances to numerical tests Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use plain PyTorch concat when exporting to ONNX 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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- 17 Apr, 2024 1 commit
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Kirthi Shankar Sivamani authored
* fixes; docs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Check for FP8 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix LoRa-like use cases Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Reviews Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- 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:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add NVTE_FP8_DPA_BWD to control whether to use FP8 bwd or F16 bwd Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix MQA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix MQA/GQA in FP8 v1 API Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update FE to 705d8e3, with API change Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * test causal mask Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * restrict mha_fill for THD format Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix fused attn with CP and comment out is_alibi code Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * clean up FE0.9 vs FE1.0 FP8 implementations, and related unit tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * change NVTE_FP8_DPA_BWD default to 1, and fix its use in qkvpacked/kvpacked APIs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix lint and self.tp_size/group in FusedAttention() Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update FE to 6902c94 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add FP8 MHA support Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * update to FE v1.3.0 Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fixes for FP8 MHA with different configs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * emit stats regardless of is_training Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix linear when input is not Float8Tensor Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix d_out type when f16 bprop Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix user buffer for layernorm_linear/linear and revert two FP8 casts in MHA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add docstring for fp8_dpa/mha in recipe Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * fix backend selection to avoid FA Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * replace transpose with transpose_2d Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * use RMSE for FP8 unit tests Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * replace two more transpose with transpose_2d Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add FP8 initialization to FusedAttention Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * rm docs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Revert "add FP8 initialization to FusedAttention" This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8. Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Change order of ctxs Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fixes Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * minor fixes Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * add back docs and mark as beta Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * minor fixes for tests and docs Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> --------- Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 15 Apr, 2024 1 commit
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Kirthi Shankar Sivamani authored
Don't use autograd hook for bwd reduction Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 12 Apr, 2024 2 commits
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Sangkug Lym authored
* Add LN margin to inference Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup Signed-off-by:
Sangkug Lym <slym@nvidia.com> * Fix symbolic func registration Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix grads Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-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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- 06 Apr, 2024 2 commits
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Sangkug Lym authored
fix the default userbuffer communicator init settings Signed-off-by:Sangkug Lym <slym@nvidia.com>
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Jaemin Choi authored
* Enable DGRAD RS overlap Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> * fix lint; apply suggestions Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 04 Apr, 2024 1 commit
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Sangkug Lym authored
* userbuffer fp8 reduction support for individual overlap Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup dict ub_cfg dict value load Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup Signed-off-by:
Sangkug Lym <slym@nvidia.com> * Remove unnecessary fence from producer From @erhoo82 Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 03 Apr, 2024 2 commits
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Sangkug Lym authored
* Atomic gemm for TP-AR and TP-RS overlap with P2P exchanges Signed-off-by:
Sangkug Lym <slym@nvidia.com> * FP8 reduction for atomic TP-RS with p2p exchange Signed-off-by:
Sangkug Lym <slym@nvidia.com> * Fix Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Sangkug Lym authored
* Do not store input activations when not computing weight gradients Signed-off-by:
Sangkug Lym <slym@nvidia.com> * fix userbuffer tp comm overlap case Signed-off-by:
Sangkug Lym <slym@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 29 Mar, 2024 1 commit
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Tim Moon authored
Perform FP8 cast on gathered layernorm output in LayerNormLinear Signed-off-by:Tim Moon <tmoon@nvidia.com>
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- 22 Mar, 2024 1 commit
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Jaemin Choi authored
* Enable TP-AG overlap with return_layernorm_output Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> * Use ub_overlap_ag Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> --------- Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> Co-authored-by:
Jaemin Choi <jaeminc@nvidia.com>
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- 21 Mar, 2024 1 commit
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Sangkug Lym authored
* TP-RS overlap with send/recv Atomic GEMM based TP-RS overlap with send/recv Signed-off-by:
Sangkug Lym <slym@nvidia.com> Specify userbuffer overlap method of each overlap instance Signed-off-by:
Sangkug Lym <slym@nvidia.com> P2P TP-RS overlap with fp8 GEMM outputs Signed-off-by:
Sangkug Lym <slym@nvidia.com> Fix TP-RS overlap with send/recv Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup Signed-off-by:
Sangkug Lym <slym@nvidia.com> * cleanup Signed-off-by:
Sangkug Lym <slym@nvidia.com> * linting Signed-off-by:
Sangkug Lym <slym@nvidia.com> * fix typo Signed-off-by:
Sangkug Lym <slym@nvidia.com> --------- Signed-off-by:
Sangkug Lym <slym@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 07 Mar, 2024 1 commit
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Hongbin Liu authored
* add_dtype_for_userbuf Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * Update transformer_engine/pytorch/module/base.py Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * Fix syntax Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Fix lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
Hongbin Liu <hongbinl@nvidia.com> Co-authored-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 06 Mar, 2024 1 commit
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Chen Cui authored
* first draft of return_layernorm_output_gathered Signed-off-by:
Chen Cui <chcui@nvidia.com> * explain use case more thoroughly in docstring Signed-off-by:
Chen Cui <chcui@nvidia.com> * add same option in `LayerNormMLP` Signed-off-by:
Chen Cui <chcui@nvidia.com> * Update transformer_engine/pytorch/module/layernorm_linear.py Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Chen Cui <cxcui@alumni.cmu.edu> * Update transformer_engine/pytorch/module/layernorm_linear.py Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Signed-off-by:
Chen Cui <cxcui@alumni.cmu.edu> * address comments Signed-off-by:
Chen Cui <chcui@nvidia.com> * add same option in LayerNormMLP Signed-off-by:
Chen Cui <chcui@nvidia.com> * address linter errors Signed-off-by:
Chen Cui <chcui@nvidia.com> --------- Signed-off-by:
Chen Cui <chcui@nvidia.com> Signed-off-by:
Chen Cui <cxcui@alumni.cmu.edu> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 05 Mar, 2024 1 commit
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Jaemin Choi authored
Signed-off-by:
Jaemin Choi <jaeminc@nvidia.com> Co-authored-by:
Jaemin Choi <jaeminc@nvidia.com>
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- 01 Mar, 2024 1 commit
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Kirthi Shankar Sivamani authored
* Avoid updating real during param cast Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * Review comments Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 24 Feb, 2024 1 commit
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Alp Dener authored
* added non-reentrant mode support to TE checkpoint Signed-off-by:
Alp Dener <adener@nvidia.com> * updated get_cuda_rng_tracker kwarg to get_rng_state_tracker to remain consistent with other TE API Signed-off-by:
Alp Dener <adener@nvidia.com> * docstring cleanup Signed-off-by:
Alp Dener <adener@nvidia.com> * added mechanism to disable bias_gelu_nvfusion in LayerNormMLP when checkpointing in non-reentrant mode Signed-off-by:
Alp Dener <adener@nvidia.com> * refactored checkpoint and recompute hook names to match PyTorch implementation Signed-off-by:
Alp Dener <adener@nvidia.com> * Fixed incorrect reference before assignment Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed argument error in calling native PyTorch checkpoint Signed-off-by:
Alp Dener <adener@nvidia.com> * fixed linting errors for missing docstrings Signed-off-by:
Alp Dener <adener@nvidia.com> * Fix lint Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> * bias GELU fusion consistency between checkpoint test and reference comparison Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
Alp Dener <adener@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 Feb, 2024 1 commit
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Alp Dener authored
* Added QuickGELUActivation from HuggingFace/Transformers to common and pytorch Signed-off-by:
Alp Dener <adener@nvidia.com> * Removing 'qgelu' from double-size activations list in LayerNormMLP. Signed-off-by:
Alp Dener <adener@nvidia.com> * indent fix Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
Przemyslaw Tredak <ptredak@nvidia.com>
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- 15 Feb, 2024 1 commit
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Tim Moon authored
* Add option to avoid updating transpose cache when possible Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Fix typo Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Use string kwarg for FP8 transpose caching Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Remove unused attr 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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