- 26 Aug, 2025 1 commit
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Xin Yao authored
expose more activation functions Signed-off-by:Xin Yao <xiny@nvidia.com>
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- 14 Aug, 2025 1 commit
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Kshiteej K authored
* fix: update grad_output quant to avoid redundant work Signed-off-by:
kshitij12345 <kshitijkalambarkar@gmail.com> * add test Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> --------- Signed-off-by:
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- 09 Aug, 2025 1 commit
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Daniel Stokes authored
* fix: Add stream synchronization before destroying MPI communicator (#1979) Signed-off-by:
djns99 <40156487+djns99@users.noreply.github.com> * feat: Implement column-wise userbuffer overlap for comm+GEMM operations Add support for overlapping column-wise allgather communication with GEMM operations to improve training performance: * **Core infrastructure changes:** - Update bulk_overlap_columnwise_ag() to accept explicit stream parameter - Modify userbuffers send/recv loops to use rank-ordered iteration - Add userbuffers_send_all/recv_all function declarations * **Python integration:** - Add bulk_overlap_ag_with_external_gemm() C++ extension function - Expose new overlap function via pybind11 bindings - Update overlap method configurations to include more ring_exchange ops * **LayerNorm MLP optimization:** - Enable column-wise quantization for FC2 gradient output - Implement overlap of allgather communication with FC2 DGRAD GEMM - Use fill_userbuffers_buffer_for_all_gather for efficient buffering This optimization allows overlapping communication and computation phases more effectively, reducing training wall-clock time by hiding allgather latency behind GEMM execution. Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 08 Aug, 2025 1 commit
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Paweł Gadziński authored
* turn on userbuffers for layers without debug Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * code drop Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
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- 06 Aug, 2025 1 commit
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hx authored
[PyTorch] fix input_quantizer usage for save_original_input; fix blockwise FP8 convert_and_update_tensor (#1978) * fix input_quantizer in save_original_input bwd Signed-off-by:
Hongxiao Bai <hongxiaob@nvidia.com> * fix get shape of blockwise tensor with only compact colwise data Signed-off-by:
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- 01 Aug, 2025 1 commit
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Hongbin Liu authored
* disable wgrad accumulation and reduce in backward() And manually launch it in backward_dw() Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * format Signed-off-by:
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- 23 Jul, 2025 1 commit
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Charlene Yang authored
* fix current device for cuDNN/cuBLAS handles Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add unit test Signed-off-by:
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- 22 Jul, 2025 1 commit
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Tim Moon authored
* Debug linear layer when saving original input and using debug quantizer Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Workaround bugs with quantizing with only column-wise usage Signed-off-by:
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- 21 Jul, 2025 1 commit
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Tim Moon authored
Reset FP8 weight workspace if usages are invalid Signed-off-by:
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- 17 Jul, 2025 1 commit
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hx authored
* save original input Signed-off-by:
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- 16 Jul, 2025 1 commit
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Paweł Gadziński authored
* some initial code Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> * fix Signed-off-by:
root <root@prenyx0221.a51.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * lint fix Signed-off-by:
Pawel Gadzinski <pgadzinski@gmail.com> * Update build.yml Signed-off-by:
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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:
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- 09 Jul, 2025 1 commit
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Xin Yao authored
* Fix align_size Signed-off-by:
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- 01 Jul, 2025 2 commits
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Selvaraj Anandaraj authored
* Added MCore fsdp support for TE Signed-off-by:
Selvaraj Anandaraj <selvaraja@cw-dfw-cs-001-login-01.cm.cluster> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Refactored based on new MCore FSDP Signed-off-by:
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guyueh1 authored
Fix layernorm output shape in LayernormLinear, make it align with input shape Signed-off-by:
Guyue Huang <guyueh@nvidia.com> Co-authored-by:
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- 26 Jun, 2025 2 commits
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xiaoxi-wangfj authored
* [PyTorch|common] Implement unpadding kernel for FP8 1. Add multi-tensor unpadding kernel 2. Replace split+cat with unpadding kernel in Fp8Padding and Fp8Unpadding 3. Add unpadding with padding unit tests Signed-off-by:
xiaoxi-wangfj <690912414@qq.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add license Signed-off-by:
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Zhongbo Zhu authored
* finish python ref impl for bulk alloc Signed-off-by:
zhongboz <zhongboz@nvidia.com> * c++ bulk alloc worked, still draft version Signed-off-by:
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- 13 Jun, 2025 2 commits
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Tim Moon authored
* Do not initialize quantized weights with column-wise usage in inference mode Signed-off-by:
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Daniel Stokes authored
* Add support for overlapping wgrad NCCL AG with dgrad GEMM Signed-off-by:
dastokes <dastokes@dastokes-dvt-01.nvidia.com>
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- 12 Jun, 2025 2 commits
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Paweł Gadziński authored
typo fix Signed-off-by: -
Kirthi Shankar Sivamani authored
Fix for loading old ckpt formats Signed-off-by:
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- 07 Jun, 2025 1 commit
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Xin Yao authored
only get skip_fp8_weight_update in fp8_graph_capturing Signed-off-by:
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- 06 Jun, 2025 2 commits
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Phuong Nguyen authored
* refactor the multi_stream utils + implement nvte_multi_tensor_quantize in TE/Common * implement GroupedQuantizer and grouped_quantize in jaxx * fix logical_axes_names for transpose tensor in ScaledTensor Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Ming Huang <mingh@nvidia.com>
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Zhongbo Zhu authored
[PyTorch] FP8 Subchannel Recipe With FP8 Gather And Configurable Scaling Factor Tensor Swizzling (#1707) * functional kernel for columnwise + no-transpose option, still hacky Signed-off-by:
Keith Wyss <kwyss@nvidia.com> * add more unit test with dequantize compact supported Signed-off-by:
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- 30 May, 2025 1 commit
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Evgeny Tsykunov authored
* Quantizer update Signed-off-by:
Evgeny Tsykunov <etsykunov@etsykunov-mlt.client.nvidia.com> * Update import Signed-off-by:
Evgeny <etsykunov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Introduce _update_weight_quantizers and _get_weight_tensors/_get_weight_quantizers Signed-off-by:
Przemyslaw Tredak <ptredak@nvidia.com>
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- 20 May, 2025 1 commit
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Peter St. John authored
* Use an empty torch tensor to indicate no fp8 information in extra_state Signed-off-by:
Peter St. John <pstjohn@nvidia.com> * Add huggingface from_pretrained / save_pretrained tests Adds integration tests to ensure models containing TransformerLayer objects can be saved and loaded using the from_pretrained and save_pretrained methods. Signed-off-by:
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- 19 May, 2025 2 commits
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Evgeny Tsykunov authored
* Check tensor-recipe compatibility Signed-off-by:
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Paweł Gadziński authored
* tests drop Signed-off-by:
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- 13 May, 2025 1 commit
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Evgeny Tsykunov authored
* Set sequence_parallel before super().__init__() in norm modules Signed-off-by:
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- 09 May, 2025 1 commit
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Tim Moon authored
* Avoid spurious warning with non-FP8 GroupedLinear Signed-off-by:
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- 07 May, 2025 2 commits
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Tim Moon authored
* Initial work toward restoring UB support in te.Sequential Signed-off-by:
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Peter St. John authored
Signed-off-by:
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- 06 May, 2025 1 commit
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Przemyslaw Tredak authored
* Changes to Linear Signed-off-by:
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- 03 May, 2025 1 commit
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Xin Yao authored
* Fix autocast deprecation warnings Signed-off-by:
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- 01 May, 2025 1 commit
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Tim Moon authored
Fix bug when reshaping norm output from LayerNormLinear Signed-off-by:
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- 30 Apr, 2025 1 commit
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Paweł Gadziński authored
* init Signed-off-by:
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- 28 Apr, 2025 2 commits
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Kunlun Li authored
* Prevent using fp8 weights + non-fp8 computation Signed-off-by:
kunlunl <kunlunl@nvidia.com> * Using warnings instead of raising an error Signed-off-by:
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Alp Dener authored
[PyTorch] Fix cuBLAS workspace leak in applications that initialize+destroy Userbuffers more than once (#1715) safeguarded cuBLAS workspace expansion in initialize_ub() to avoid exponential growth across repeat initializations Signed-off-by:
Alp Dener <adener@nvidia.com> Co-authored-by:
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- 21 Apr, 2025 1 commit
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Sudhakar Singh authored
* rtx5090 arch fix support Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * apprend `nvte` to the function name so that its visible in framework specific dirs Signed-off-by:
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- 18 Apr, 2025 1 commit
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Hongbin Liu authored
* split wgrad for GroupedLinear Signed-off-by:
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