- 31 Dec, 2025 1 commit
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刘俊 authored
Signed-off-by:
fuyue.lj <fuyue.lj@antgroup.com> Co-authored-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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- 09 Dec, 2025 1 commit
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Przemyslaw Tredak authored
Signed-off-by:Przemek Tredak <ptredak@nvidia.com>
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- 19 Nov, 2025 1 commit
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Jianbing authored
* refactor mxfp8_cast_only kernel Signed-off-by:
Jianbing Dong <jianbingd@nvidia.com> * fix ptx.cuh after format Signed-off-by:
Oleg Goncharov <64355998+Oleg-Goncharov@users.noreply.github.com>
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- 31 Oct, 2025 1 commit
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Oleg Goncharov authored
Deleted unused header Signed-off-by:Oleg Goncharov <ogoncharov@nvidia.com>
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- 30 Oct, 2025 1 commit
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Oleg Goncharov authored
* Separated gated and dequantize kernels Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 27 Oct, 2025 1 commit
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Kirthi Shankar Sivamani authored
* Remove nvidia-mathdx dep Signed-off-by:
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- 23 Oct, 2025 1 commit
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Przemyslaw Tredak authored
* Added sm_120f to the build Signed-off-by:
Copilot <175728472+Copilot@users.noreply.github.com> Signed-off-by:
Przemyslaw Tredak <ptrendx@gmail.com> * Apply suggestions from code review Co-authored-by:
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- 03 Oct, 2025 1 commit
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vthumbe1503 authored
Signed-off-by:Varun Thumbe <vthumbe@nvidia.com> *Jax integration for clamped swiglu. This is the continuation of PR which added Clamped Swiglu(used in GPT OSS) support in TE along with Pytorch integration. This PR hooks up the clamped swiglu and dswiglu's nvte APIs to TE Jax.
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- 30 Sep, 2025 2 commits
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vthumbe1503 authored
* Test working as I think it should work Signed-off-by:
Vladimir Cherepanov <vcherepanov@nvidia.com> * Saving... Signed-off-by:
Vladimir Cherepanov <56651474+mk-61@users.noreply.github.com> * Add license Signed-off-by:
Ming Huang <mingh@nvidia.com> * Slightly refactor Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> Co-authored-by:
jberchtold-nvidia <158520091+jberchtold-nvidia@users.noreply.github.com> Signed-off-by:
Kshitij Lakhani <klakhani@nvidia.com> Signed-off-by:
Charlene Yang <8636796+cyanguwa@users.noreply.github.com> * fix remaining CI failures 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 Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
zhongboz <zhongboz@nvidia.com> Co-authored-by:
oliver könig <okoenig@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update setup.py Signed-off-by:
Xin Yao <xiny@nvidia.com> * Remove exceptions from destructors Signed-off-by:
Tim Moon <tmoon@nvidia.com> * fix weired dispatch in ln/rmsnorm Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> Signed-off-by:
Robin Zhang <robinz@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update Signed-off-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> Co-authored-by:
Selvaraj Anandaraj <selvaraja@login-ptyche01.ptyche.clusters.nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed typo Signed-off-by:
Selvaraj Anandaraj <selvaraja@login-preos01.a51.clusters.nvidia.com> * Fixed typo Signed-off-by:
Paweł Gadziński <62263673+pggPL@users.noreply.github.com> Signed-off-by:
djns99 <40156487+djns99@users.noreply.github.com> Signed-off-by:
Casper <casperbh.96@gmail.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Signed-off-by:
Hongbin Liu <hongbinl@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix CI Signed-off-by:
tongliu <tongliu@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Jonathan Mitchell <jomitchell@login-eos02.eos.clusters.nvidia.com> * assert line change Signed-off-by:
Sudhakar Singh <sudhakars@nvidia.com> * address review comments Signed-off-by:
Yuzhong Wang <yuzhongw@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update transformer_engine/pytorch/tensor/_internal/float8_blockwise_tensor_base.py Signed-off-by:
Min Yang <min.yang@shopee.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * refactor: refactor multi tensor gemm interface Signed-off-by:
alan yang <89962857+cassiewilliam@users.noreply.github.com> Co-authored-by:
zhujian <zhujian.whu.cs@gmail.com> Fix cuDNN version checks when getting backend and for sm89 kv cache (#2185) * Fix cudnn version checks for kv cache for sm89. Add cudnn version check in preparation for 9.14 when getting backend Signed-off-by:
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Przemyslaw Tredak authored
* Fix the segfault in the nvfp4 quantization Signed-off-by:
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- 29 Sep, 2025 1 commit
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Kirthi Shankar Sivamani authored
* Add NVFP4 recipe Signed-off-by:
Frank Sun <frsun@nvidia.com> Co-authored-by:
Evgeny Tsykunov <etsykunov@nvidia.com> Co-authored-by:
Teddy Do <tdophung@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add MathDx dependency to GitHub builds Signed-off-by:
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- 27 Sep, 2025 1 commit
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Phuong Nguyen authored
* init cgemm + unit tests * UB bootstrap with NCCL, no MPI dependency * add NVLINK-P2P check + error message * skip tests if no NVLINK available * use std::vector to store ncclComm_t * update misuse of TP warning Signed-off-by:
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- 22 Sep, 2025 1 commit
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Charlene Yang authored
* first draft; debug plan failure Signed-off-by:
Chen Cui <chcui@nvidia.com> Signed-off-by:
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- 04 Sep, 2025 1 commit
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Zhongbo Zhu authored
* add noop to comp amax Signed-off-by:
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- 29 Aug, 2025 1 commit
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Xin Yao authored
* add checks to cuda kernel launch and cuda API calls Signed-off-by:
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- 26 Aug, 2025 2 commits
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Vladimir Cherepanov authored
* Pick up cuBLASMp during build Signed-off-by:
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jberchtold-nvidia authored
Revert "[Common] PDL for Quantization Kernels (#2001)" This reverts commit bfab8c67 . Signed-off-by:
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- 14 Aug, 2025 2 commits
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Xin Yao authored
* reduce driver calls Signed-off-by:
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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:
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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:
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- 07 Aug, 2025 1 commit
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Xin Yao authored
* PDL for MXFP8 Quantize Signed-off-by:
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- 06 Aug, 2025 1 commit
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Xin Yao authored
* for loop Signed-off-by:
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- 29 Jul, 2025 2 commits
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Jan Bielak authored
* Compute amax in activation kernels when the output pointer is provided, even for non-fp8 outputs Signed-off-by:
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Tim Moon authored
* remove reciprocal op Signed-off-by:
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- 24 Jul, 2025 1 commit
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Oleg Goncharov authored
* Fixed integer overflow when computing offsets Signed-off-by:
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- 22 Jul, 2025 1 commit
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Oleg Goncharov authored
* Fixed conflicts Signed-off-by:
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- 14 Jul, 2025 1 commit
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Tim Moon authored
* Add run-time version checks in cuBLAS GEMM wrapper 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:
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- 26 Jun, 2025 1 commit
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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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- 16 Jun, 2025 1 commit
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Hua Huang authored
* Support MXFP8 and handle empty matrices Signed-off-by:
Hua Huang <huah@nvidia.com> --------- Signed-off-by:
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- 13 Jun, 2025 1 commit
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Oleg Goncharov authored
* Added support of FP4 data type 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:
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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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- 05 Jun, 2025 1 commit
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Przemyslaw Tredak authored
* Use versioned flavor of get driver entrypoint function Signed-off-by:
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- 29 May, 2025 1 commit
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Przemyslaw Tredak authored
* Changed the Tensor allocation strategy Signed-off-by:
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- 07 May, 2025 1 commit
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Tim Moon authored
* Initial work toward restoring UB support in te.Sequential Signed-off-by:
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- 25 Apr, 2025 1 commit
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Nicolas Castet authored
Fixes #1692 Signed-off-by:Nicolas Castet <26874160+nvcastet@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:
Xin Yao <yaox12@outlook.com> * Update test_float8blockwisetensor.py Signed-off-by:
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- 07 Apr, 2025 1 commit
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Xin Yao authored
* fix cpp warning Signed-off-by:
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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:
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