- 16 Aug, 2025 1 commit
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jomitchellnv authored
fix: fixes multi head attention for context parallel: rotary embedding to use padded cu_seq_lens (#2077) fix: fixes mha to use padded cu_seq_lens during cp Signed-off-by:Jonathan Mitchell <jomitchell@nvidia.com>
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- 15 Aug, 2025 1 commit
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Jan Bielak authored
* Add `nvte_cublas_gemm_scaled` Signed-off-by:
Jan Bielak <jbielak@nvidia.com> * Support use of `alpha` and `beta` in `tex.generic_gemm` Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com>
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- 14 Aug, 2025 6 commits
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Kirthi Shankar Sivamani authored
Add launch bounds to swizzle kernel, use empty scale inv Signed-off-by:Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Tim Moon authored
* Unfused impl for dbias-quantize Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Unfused impl for dact-dbias-quantize Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Tim Moon authored
Avoid registering FP8 recipe update in ops without backward pass Signed-off-by:
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Tim Moon authored
* Register weight/bias params in linear op Signed-off-by:
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Xin Yao authored
* reduce driver calls Signed-off-by:
Xin Yao <xiny@nvidia.com> * 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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- 13 Aug, 2025 5 commits
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Phuong Nguyen authored
* fix pspec check Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * cleaning Signed-off-by:
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Phuong Nguyen authored
* add manual axis filer to sharding_constraint impl Signed-off-by:
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Kate Cheng authored
* Remove if-else and torch.tensor to meet cudagraph requirement Signed-off-by:
Kate Cheng <yunhsuanc@nvidia.com> * Add is_cg_capturable flag to guard the if-else statement Signed-off-by:
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Paweł Gadziński authored
* code drop Signed-off-by:
Pawel Gadzinski <pgadzinski@nvidia.com> * fix Signed-off-by:
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Xin Yao authored
* enable PDL for blockwise qunatization kernels Signed-off-by:
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- 12 Aug, 2025 4 commits
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Jan Bielak authored
* Compute amax in normalization forward in current scaling in untuned kernels Signed-off-by:
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jberchtold-nvidia authored
* Support setting collection name for quantizer set Flax variables in TransformerEngineBase flax module Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Support creating quantizer set from a recipe directly Signed-off-by:
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Tim Moon authored
Fix bug when deducing dtype in linear functional API Signed-off-by: -
Tim Moon authored
* Update amax pointers when reallocating amax history in fusible ops Signed-off-by:
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- 11 Aug, 2025 1 commit
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Kirthi Shankar Sivamani authored
* Fix high-precision dtype for MXFP8 AG 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:
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- 08 Aug, 2025 3 commits
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Phuong Nguyen authored
* enabled TE GEMM for all recipes Signed-off-by:
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Paweł Gadziński authored
* turn on userbuffers for layers without debug Signed-off-by:
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Phuong Nguyen authored
* rm cudaGraph compatible trait from GroupedGEMM and groupedQuantize Signed-off-by:
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- 07 Aug, 2025 3 commits
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Phuong Nguyen authored
* rm batch_dim, sequence_dim, sequence_parallel_output Signed-off-by:
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ldl authored
[PyTorch] Fix numeric overflow caused by int-type parameters and return value in the roundup function (#2034) Signed-off-by:
lvdunlin <lvdunlin@xiaomi.com> Co-authored-by:
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Xin Yao authored
* PDL for MXFP8 Quantize Signed-off-by:
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- 06 Aug, 2025 5 commits
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Phuong Nguyen authored
Revert "[JAX] Disable TE Norm Custom Calls (#1993)" This reverts commit 6c970612 . --------- Signed-off-by:
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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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Xin Yao authored
* for loop Signed-off-by:
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Phuong Nguyen authored
* remove dot1_output_axes Signed-off-by:
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xiaoxi-wangfj authored
Signed-off-by:xiaoxi-wangfj <690912414@qq.com>
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- 05 Aug, 2025 2 commits
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Phuong Nguyen authored
Disable Norm custom calls Signed-off-by: -
Phuong Nguyen authored
* new gemm operand specs processing Signed-off-by:
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- 04 Aug, 2025 2 commits
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buptzyb authored
* fix graph static grad input reuse 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:
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Tim Moon authored
* Add basic kernel for swapping first two tensor dims Signed-off-by:
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- 01 Aug, 2025 3 commits
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Shang Zhang authored
Fix tensor numel() return dtype The original dytpe int would be an issue if the tensor element numbers are larger than int32's range (which is not a super large number in real workloads) Signed-off-by:Shang Zhang <shangz@nvidia.com>
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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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Autumn1998 authored
* fix bug if all values<0 Signed-off-by:
tongliu <tongliu@nvidia.com> * minor fix Signed-off-by:
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- 31 Jul, 2025 1 commit
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Jan Bielak authored
* Compute amax in normalization kernels as long as the pointer is provided, even if using non quantized output Signed-off-by:
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- 30 Jul, 2025 2 commits
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jberchtold-nvidia authored
* TE primitive checkpointing policies Signed-off-by:
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Jan Bielak authored
Refactor normalization.cpp to use quantizer logic introduced in #1952 instead of manual quantization Signed-off-by:
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