- 09 Oct, 2025 1 commit
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jberchtold-nvidia authored
Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> Co-authored-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 08 Oct, 2025 1 commit
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Hua Huang authored
* Try async copy of grouped GEMM group_sizes data Signed-off-by:
Hua Huang <huah@nvidia.com> --------- Signed-off-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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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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- 29 Sep, 2025 1 commit
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jberchtold-nvidia authored
Address tolerance check for current scaling dact Signed-off-by:Jeremy Berchtold <jberchtold@nvidia.com>
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- 15 Sep, 2025 1 commit
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Ming-Xu Huang authored
* Applying the original precision as Norm outputs' and activation compuations. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Adding knob to control norm output precision. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Removing the knob and applying lower-precision norm with current-scaling only. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix the error when quantizer==None Signed-off-by:
Ming Huang <mingh@nvidia.com> --------- Signed-off-by:
Ming Huang <mingh@nvidia.com>
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- 05 Sep, 2025 1 commit
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jberchtold-nvidia authored
* Custom call tests passing Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix test_layer.py Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Lint Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Support using amax on HighPrecision tensor if it exists instead of recomputing for current scaling Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix shardy issue with amax being shape 1,1,1 instead of shape (1,) Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Add higher-precision VJP tests to test_distributed_layernorm_mlp Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Cast non-quantized kernels to input dtype in VJPs Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Rename HighPrecisionTensor to NoScaleTensor Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Use NoScaleTensor in pure JAX impls where it was missing Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix tests Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 08 Aug, 2025 1 commit
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Phuong Nguyen authored
* rm cudaGraph compatible trait from GroupedGEMM and groupedQuantize Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * add grouped_gemm jitting in the unit test Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 24 Jul, 2025 1 commit
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Phuong Nguyen authored
* add manage_primitives() helper * disable GEMM primitives for non-MXFP8 recipes * implement the NVTE_JAX_CUSTOM_CALLS + deprecate NVTE_JAX_CUSTOM_CALLS_RE * replace NVTE_JAX_CUSTOM_CALLS_RE with NVTE_JAX_CUSTOM_CALLS in TE tests and examples * fix use_jax_gemm contextmanager Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 22 Jul, 2025 1 commit
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Oleg Goncharov authored
* Fixed conflicts Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor code refactoring to avoid unnecessary checks Signed-off-by:
Oleg Goncharov <ogoncharov@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:
Oleg Goncharov <ogoncharov@nvidia.com> * Fixed dBias accumulation error due to initialization. Minor code refactoring Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Test case to reproduce the init error Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed rowwise dbias error Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Changed ptx API Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added a struct for two packed FP8 values Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Rolled back to scalar code for columnwise scaling due to its better performance Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Minor corrections Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Rebased on main Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixes per code review Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Removed constexpr in C++ test suite to build faster Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Computed activations are now numerically truncated to InputType before scaling. Improved test suite. Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor refactoring Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Minor refactoring Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Modified mismatches checks of MXFP8 to address FP8 numerics Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Implemented Jeremy's fixes to JAX test suite with an intermediate downcast Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Reduced the dims of the test tensors to improve CI runtime Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * Fixed memory alignment issue. Compute dbias without downcast. Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed misaligned memory issue also in gated kernels. Reduced size of MXFP8 gated tests Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by:
Oleg Goncharov <ogoncharov@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 18 Jul, 2025 1 commit
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Phuong Nguyen authored
* set precision=HIGHEST for the ref_grouped_gemm impl in the unit test Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 14 Jul, 2025 1 commit
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Alp Dener authored
* added XLA FFI custom op for TE/common nvte_cublas_gemm Signed-off-by:
Alp Dener <adener@nvidia.com> started GemmPrimitive, abstract done Signed-off-by:
Alp Dener <adener@nvidia.com> gemm custom op working with BF16, needs testing for FP8/MXFP8 Signed-off-by:
Alp Dener <adener@nvidia.com> converted TE GEMM API to use ScaledTensor and added os ENV flag to use TE GEMM under general gemm() call Signed-off-by:
Alp Dener <adener@nvidia.com> BF16 tests passing, FP8 tests should be passing but contracting_dims has a scoping issue Signed-off-by:
Alp Dener <adener@nvidia.com> fp8 tests passing for E4M3, getting CUBLAS_STATUS_NOT_SUPPORTED for E5M2 Signed-off-by:
Alp Dener <adener@nvidia.com> updated GEMM API to use separate LHS and RHS quantizers instead of a QuantizerSet Signed-off-by:
Alp Dener <adener@nvidia.com> new GemmPrimitive passing all Dense tests Signed-off-by:
Alp Dener <adener@nvidia.com> import cleanup and reverted code chunk movement Signed-off-by:
Alp Dener <adener@nvidia.com> removed unused .transpose() implementations from ScaledTensors Signed-off-by:
Alp Dener <adener@nvidia.com> all custom call tests passing on Hopper, GEMM-related tests cover both GemmPrimitive and native JAX impl Signed-off-by:
Alp Dener <adener@nvidia.com> removed direct calls to GemmPrimitive.enabled() from outside of cpp_extensions Signed-off-by:
Alp Dener <adener@nvidia.com> removed unused changes to ScaledTensor classes and debug prints Signed-off-by:
Alp Dener <adener@nvidia.com> * minor unit test cleanup 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 * FP8 tests passing on Blackwell but MXFP8 outputs NaN Signed-off-by:
Alp Dener <adener@nvidia.com> * reverted dense and fuseddense changes, FP8 test passing on Hopper and Blackwell, MXFP8 has issues with E5M2 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 * MXFP8 issue traced to scale factor padding with NaNs instead of zeros Signed-off-by:
Alp Dener <adener@nvidia.com> * padding scale with 2^-127 instead of nans Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fix bug on rhs_scale_inv usage Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * cleanup E8M0 type converter use it in gemm.cpp Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * segfault fixed, passing all unittests on Blackwell Signed-off-by:
Alp Dener <adener@nvidia.com> * fix for fuseddense tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fix workspace alignment 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 * fixed GemmPrimitive custom partitioning to match jax.nn.scaled_matmul Signed-off-by:
Alp Dener <adener@nvidia.com> all unit tests passing on H100x8 node 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 linting fixes Signed-off-by:
Alp Dener <adener@nvidia.com> fixed batch dimension numbers Signed-off-by:
Alp Dener <adener@nvidia.com> fixed FP8 scale sharding rule when there are no FP8 scales Signed-off-by:
Alp Dener <adener@nvidia.com> added error message for unsupported Shardy partitioner Signed-off-by:
Alp Dener <adener@nvidia.com> fixed test tolerances for FP8 cases Signed-off-by:
Alp Dener <adener@nvidia.com> fixed shardy test skip cases 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 * moved reshape of encoder output in encoder examples to make custom partitioning rules work correctly Signed-off-by:
Alp Dener <adener@nvidia.com> * added helper functions for padding and unpadding block scales, changed GemmPrimitive to accept unpadded scales and pad them after sharding 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 * updated shardy rules for all custom ops to decouple block scale rules from their tensors 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 * fixed linting errors Signed-off-by:
Alp Dener <adener@nvidia.com> * changed unit test use_jax_gemm option to be a context to preserve external custom op settings, tightened multi-GPU encoder test tolerances, changed gemm() API to use contracting_dims and batched_dims separately instead of dimension_numbers 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 * fixed typo in test utils Signed-off-by:
Alp Dener <adener@nvidia.com> * added sequence-first input warnings 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 * fixed datasets version for JAX examples Signed-off-by:
Alp Dener <adener@nvidia.com> * reverting modification to force_1x_quantization decision Signed-off-by:
Alp Dener <adener@nvidia.com> * corrected gemm function syntax in unit tests Signed-off-by:
Alp Dener <adener@nvidia.com> --------- Signed-off-by:
Alp Dener <adener@nvidia.com> Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 09 Jul, 2025 1 commit
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Hua Huang authored
* Fix JAX grouped gemm error on CUDA 12.9.1 & later by using 16B alignment for scale ptr Signed-off-by:
Hua Huang <huah@nvidia.com> * Pad MXFP8 scales with 2*-127 instead of NaNs Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Hua Huang <huah@nvidia.com>
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- 18 Jun, 2025 1 commit
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Phuong Nguyen authored
* TensorUsage + FP8 GEMM with all layouts handling on BW Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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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:
Hua Huang <huah@nvidia.com>
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- 12 Jun, 2025 5 commits
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Phuong Nguyen authored
* fixes for jittable grouped_quantize * fixes for jittable grouped_gemm * fix contracting_dim for wgrad gemm * exclude jitted grouped_gemm from the unit test as it does not work cudaGraph --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Hua Huang authored
Distinguish the reasons why fp8 is not supported and mxfp8 is not supported Signed-off-by:Hua Huang <huah@nvidia.com>
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Phuong Nguyen authored
* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 * Fix GroupedGemmFFI cuBLAS workspace alignment bug Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Hua Huang <huah@nvidia.com>
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Phuong Nguyen authored
Revert "[JAX] GroupedDense v.2 without dynamic shape (#1721)" This reverts commit 5d01ef21 . Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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Phuong Nguyen authored
* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 * Fix GroupedGemmFFI cuBLAS workspace alignment bug Signed-off-by:
Hua Huang <huah@nvidia.com> Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 06 Jun, 2025 1 commit
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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:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Ming Huang <mingh@nvidia.com>
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- 22 May, 2025 1 commit
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jberchtold-nvidia authored
Fix incorrectly skipped test_quantize_dbias tests Signed-off-by:Jeremy Berchtold <jberchtold@nvidia.com>
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- 06 May, 2025 1 commit
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jberchtold-nvidia authored
* Fix L2 test_custom_call_compute.py L2 tests Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix test_helper.py Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Address comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 01 May, 2025 1 commit
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Phuong Nguyen authored
* exclude GroupedGemm APIs Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 22 Apr, 2025 1 commit
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jberchtold-nvidia authored
* [JAX-Q] Single GPU current scaling for JAX Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix scale check dtype for MXFP8 scales affecting tests using assert_bitwise_scaled_tensors Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Address comments Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove cast to fp32 for norm primitives now that zero-centered gamma dtype issue is fixed Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Fix lint issue Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Remove unnecessary cast to fp32 Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> * Lint Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com> --------- Signed-off-by:
Jeremy Berchtold <jberchtold@nvidia.com>
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- 21 Apr, 2025 1 commit
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jberchtold-nvidia authored
Check CuDNN version and apply unfused norm if below a version with the fix Signed-off-by:Jeremy Berchtold <jberchtold@nvidia.com>
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- 09 Apr, 2025 1 commit
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Phuong Nguyen authored
* scaling enum abstract * rm NVTE_ from ScalingMode names * rework scaling mode enum in grouped gemm * fix norm sharding --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 04 Apr, 2025 1 commit
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Phuong Nguyen authored
* rename QuantizeAxis to QuantizeLayout, get_layout to get_data_layout, q_axis to q_layout * add fatten_axis option * added gated act to test encoder * sharding constraint fixes * fix padding when flattening first dim needs to be padded * update test sizes so that padding is tested * rm output sharding as it can be done in the flax module * sharding scale_inv for mxfp8 --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 01 Apr, 2025 1 commit
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Phuong Nguyen authored
* refactor + mxfp8 * added grouped gemm * rename linear to dense * added cublas init phase for groupedGemm * relax the tol of test encoder multiprocessing mxfp8 by 0.001 Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> Co-authored-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
Jeremy Berchtold <jberchtold@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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- 06 Nov, 2024 1 commit
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Hua Huang authored
* FFI for some transpose & activation functions Signed-off-by:
Hua Huang <huah@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Remove comments in transformer_engine/jax/csrc/extensions/activation.cpp Co-authored-by:
Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com> Signed-off-by:
Hua Huang <huangh1994@outlook.com> --------- Signed-off-by:
Hua Huang <huah@nvidia.com> Signed-off-by:
Hua Huang <huangh1994@outlook.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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- 24 Oct, 2024 1 commit
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Hua Huang authored
[JAX] XLA Custom Calls with FFI for FusedAttnFwd, Quantize, Transpose, ActLuFP8, LayerNormForwardFP8FFI, and LayerNormBackwardFFI (#1263) * Add TransposeFFI, test passed Signed-off-by:
Hua Huang <huah@nvidia.com> * Add ActLuFP8FFI; fix TransposeFFI Signed-off-by:
Hua Huang <huah@nvidia.com> * Add QuantizeFFI Signed-off-by:
Hua Huang <huah@nvidia.com> * Add FusedAttnForwardFFI and some unit tests Signed-off-by:
Hua Huang <huah@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor fix Signed-off-by:
Hua Huang <huah@nvidia.com> * Add LayerNormForwardFP8FFI & LayerNormBackwardFFI Signed-off-by:
Hua Huang <huah@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Revise FusedAttnForwardFFI() Signed-off-by:
Hua Huang <huah@nvidia.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Add FFI_CudaGraph_Traits All tests passed, ready for merge Signed-off-by:
Hua Huang <huah@nvidia.com> * Bug fix for FFI data type mismatch Also add a safeguard on the entrance to FFI function Signed-off-by:
Hua Huang <huah@nvidia.com> --------- Signed-off-by:
Hua Huang <huah@nvidia.com> Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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- 14 Aug, 2024 1 commit
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Phuong Nguyen authored
* implemented custom call with ffi in csrc * moved headers of misc to misc.h, add ffi.h * ActLu and DActLu lowering with ffi_lowering * CastTranspose with ffi_lowering * enabled cudaGraph * added 4d input test case to TestActivationLu * added operand_output_aliases for CastTranspose * added env var NVTE_JAX_WITH_FFI, default value = 1 * replace casting ActivationEnum by taking its value --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 17 Jul, 2024 1 commit
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Reese Wang authored
* Add enabled() to BasePrimitive * Add layernorm/rmsnorm fallback * Add cast_fp8 fallback * Add transpose/cast_transpose XLA fall back * Act_lu fallback * Add transpose fallback * Add softmax fallback * Unify the use of _cast_fp8 * Add tests for NVTE_JAX_CUSTOM_CALLS_RE --------- Signed-off-by:
Reese Wang <rewang@nvidia.com> Co-authored-by:
Phuong Nguyen <36155692+phu0ngng@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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Phuong Nguyen authored
* Splitted cpp_extensions.py, renamed mlp.py and fused_attn.py Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixed import in tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 12 Jun, 2024 1 commit
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Ming-Xu Huang authored
* Reformat FP8 Meta 1. Reformat FP8 meta to be one-set-per-tensor. 2. Remove fp8_max and scale_inv. 3. Remove unused functions in fp8.py Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix unit-tests Signed-off-by:
Ming Huang <mingh@nvidia.com> * Remove ShardingType and MajorShardingType Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fix lint errors Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fixed unittests. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Rename few variables. Signed-off-by:
Ming Huang <mingh@nvidia.com> * Add jit to update_amax_list Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fixed naming error in LayernormMLP Signed-off-by:
Ming Huang <mingh@nvidia.com> * Fixed bugs in test_distributed_layernorm_mlp.py Signed-off-by:
Ming Huang <mingh@nvidia.com> --------- Signed-off-by:
Ming Huang <mingh@nvidia.com>
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- 13 May, 2024 1 commit
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Phuong Nguyen authored
* renamed gelu to act * added relu, srelu, qgelu * fixes initialization for layernorm_fp8_mlp tests * moved activation_fp8 prim into testunit file * Moved NVTE_Activation_Enum to common/.../activation.h --------- Signed-off-by:Phuong Nguyen <phuonguyen@nvidia.com>
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- 03 May, 2024 1 commit
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Phuong Nguyen authored
* templated primitives and respective C++ functions Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes for LayerNormMLP, tests in test_custom_compute all passed Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * added default arg for pybind get_workspace_size funcs Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes for TestTransFormer with non-gated act tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * renamed gelu to act Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * improved enum implementation, avoid using magic numbers Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Exposed C++ ActivationEnum to python side Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Changed error messages Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * changed conditional check on input shape for dbias_cast_transpose Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * changed dtype (tol) for bias grad tests Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * fixes so that layer_norm_fp8_mlp can take bias = None Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Set bias = None in flax modules Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> --------- Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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- 02 May, 2024 1 commit
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Reese Wang authored
* Add layernorm_fp8_dot unit test Signed-off-by:
Reese Wang <rewang@nvidia.com> * Update the softmax primitives support conditions Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add tests for the softmax primitives Signed-off-by:
Reese Wang <rewang@nvidia.com> * Round1 refactor of test_layer Signed-off-by:
Reese Wang <rewang@nvidia.com> * Split dropout arguments of ref code and add hidden/intermediate dropout elementwise comparison Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add dropout_braodcast_dim, self_attn_mask tests and clean a few code Signed-off-by:
Reese Wang <rewang@nvidia.com> * Abstract test layer and fix a rope reference code diff Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add bias tests Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add epsilon and float32 tests Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add relpos_bias and attention dropout tests Signed-off-by:
Reese Wang <rewang@nvidia.com> * Loose the atol Signed-off-by:
Reese Wang <rewang@nvidia.com> * Move common fixtures to conftest.py Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add doc string for test_layer Signed-off-by:
Reese Wang <rewang@nvidia.com> * Add doc string for test_layer Signed-off-by:
Reese Wang <rewang@nvidia.com> * Fix conflicts of test_layer Signed-off-by:
Reese Wang <rewang@nvidia.com> * Avoid to left bias parameters in graph when use_bias=False Signed-off-by:
Reese Wang <rewang@nvidia.com> --------- Signed-off-by:
Reese Wang <rewang@nvidia.com>
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- 24 Apr, 2024 1 commit
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Phuong Nguyen authored
* Implemented swiglu and silu Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com> * Renamed nvte-*silu to nvte-*swish + generalized GetDBiasDact functions Signed-off-by:
Phuong Nguyen <phuonguyen@nvidia.com>
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