- 21 Aug, 2024 2 commits
-
-
Charlene Yang authored
* update FE to 1.6 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 * update to 1.6.1-rc for testing Signed-off-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
-
Tim Moon authored
* Perform scale-inv update in cast-transpose kernels Signed-off-by:
Tim Moon <tmoon@nvidia.com> * Perform scale-inv update in cast and activation kernels Signed-off-by:
Tim Moon <4406448+timmoon10@users.noreply.github.com> * Debug mismatched dtypes Signed-off-by:
-
- 20 Aug, 2024 1 commit
-
-
hXl3s authored
feat(pytorch): Allow TransformerLayer and MultiheadAttention to accept sequence length parameters (#1066) * Added ability for seqlen for transformer and mha layer Signed-off-by:
Lukasz Pierscieniewski <lukaszp@nvidia.com> * Documentation for new parameters Signed-off-by:
Przemek Tredak <ptredak@nvidia.com> --------- Signed-off-by:
Kirthi Shankar Sivamani <ksivamani@nvidia.com> Co-authored-by:
-
- 19 Aug, 2024 1 commit
-
-
Frédéric Bastien authored
Signed-off-by:
Frederic Bastien <fbastien@nvidia.com> Co-authored-by:
Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>
-
- 16 Aug, 2024 2 commits
-
-
Shijie authored
* support dtype casting fusion in FusedAdam Signed-off-by:
Shijie Wang <jaywan@nvidia.com> * minor changes Signed-off-by:
-
Xiaowei Ren authored
* add window_size to AttnFuncWithCP Signed-off-by:
Xiaowei Ren <xren@nvidia.com> * add seq_offsets_qkvo for cudnn thd Signed-off-by:
Xiaowei Ren <xren@cs-cw-dfw-login-01.cm.cluster>
-
- 15 Aug, 2024 2 commits
-
-
Charlene Yang authored
fix typos regarding t in thd Signed-off-by: -
Marks101 authored
Signed-off-by:
Markus Schnoes <markus.schnoes@gmx.de> Co-authored-by:
-
- 14 Aug, 2024 3 commits
-
-
Tim Moon authored
* Bump minimum CUDA version to 12.0 Signed-off-by:
-
Reese Wang authored
* Propagate sm_margin to the underly layernorm kernels --------- Signed-off-by:
Reese Wang <rewang@nvidia.com> Co-authored-by:
-
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>
-
- 13 Aug, 2024 2 commits
-
-
Charlene Yang authored
* merge k_channels and v_channels back to kv_channels and accept a tuple Signed-off-by:
-
vasunvidia authored
* DGRAD-RS overlap bug fix This PR fixes a bug in enabling DGRAD-RS overlap by adding the layer to the correct method list. Previously, the RS-DGRAD overlap layer was incorrectly added to pipeline method list even if ring_exchange method is specified in config. Signed-off-by:
Vasudevan Rengasamy <vrengasamy@nvidia.com> * Bug fix for ring_exchange ReduceScatter ring_exchange RS uses main_stream for last GEMM chunk. But the send/recv streams wait for stream_compute during last chunk. Signed-off-by:
-
- 12 Aug, 2024 2 commits
-
-
Phuong Nguyen authored
* added threading build back * integrating threading for pytorch and paddle extensions * added messages --------- Signed-off-by:
-
vasunvidia authored
Buf fix for num_warmup_iters=0 case Signed-off-by:
-
- 10 Aug, 2024 1 commit
-
-
Tim Moon authored
* Add op for in-place add Signed-off-by:
-
- 09 Aug, 2024 2 commits
-
-
Xin Yao authored
* use fused_multi_cast_transpose Signed-off-by:
Xin Yao <xiny@nvidia.com> * fix input being empty tensor Signed-off-by:
-
Alp Dener authored
[C/PyTorch] Fixed incorrect use of `torch.distributed.new_group()` when creating intra-node group in `initialize_ub()` (#1087) * updated initialize_ub() to use new_subgroups_by_enumeration() to generate intra-node groups, added new unit tests for TE layers with comm overlap 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:
-
- 08 Aug, 2024 1 commit
-
-
Reese Wang authored
* Support non-deterministic algo Signed-off-by:
-
- 06 Aug, 2024 4 commits
-
-
Charlene Yang authored
reduce the roundup of max_seqlen for THD to multiples of 64 Signed-off-by: -
Charlene Yang authored
* fix logging in attention Signed-off-by:
-
Reese Wang authored
* Support actlen = 0 after cuDNN 9.3.0 Signed-off-by:
-
Charlene Yang authored
* add multi-latent attention for DPA Signed-off-by:
-
- 02 Aug, 2024 2 commits
-
-
Li Tao authored
fix an argument issue when flash_attn>=2.5.7 Signed-off-by:
Li Tao <lit@nvidia.com> Co-authored-by:
-
Przemyslaw Tredak authored
* Link attention docs to the main docs and fix errors reported by Sphinx Signed-off-by:
-
- 01 Aug, 2024 2 commits
-
-
Xiaowei Ren authored
* use 2hd layout Signed-off-by:
-
Xin Yao authored
* fix workspaces and unfused bias in multi-stream cuBLAS * Expose num_streams via pybind * Fix C-compatibility * rm importing packaging in test_fused_attn.py --------- Signed-off-by:
-
- 31 Jul, 2024 2 commits
-
-
Przemyslaw Tredak authored
* Added tests for silu/relu/swiglu/reglu Signed-off-by:
-
Przemyslaw Tredak authored
* Ensure that the inputs to custom calls are contiguous Signed-off-by:
-
- 30 Jul, 2024 2 commits
-
-
Selvaraj Anandaraj authored
* Load balanced offloading algorithm 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:
-
Shijie authored
add deterministic option Signed-off-by:
-
- 26 Jul, 2024 1 commit
-
-
Charlene Yang authored
fix tp_size for GQA Signed-off-by:
-
- 25 Jul, 2024 5 commits
-
-
李金梁 authored
This bug will cause bug [ERROR] failed (exitcode: -11) local_rank: 0 (pid: 1761020) of binary: ~/megatron/bin/python. That is because we miss the rng_states that is required in attention recompute (for dropout), but no hint is provided. It is very very very difficult to trace and cost me two weeks. ```python before the start of training step] datetime: 2024-07-22 18:26:45 [2024-07-22 18:27:00,941] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -11) local_rank: 0 (pid: 1761020) of binary: /home//miniconda3/envs/megatron/bin/python Traceback (most recent call last): File "/home//miniconda3/envs/megatron/bin/torchrun", line 33, in <module> sys.exit(load_entry_point('torch==2.2.1+cu121', 'console_scripts', 'torchrun')()) File "/home//miniconda3/envs/megatron/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper return f(*args, **kwargs) File "/home//miniconda3/envs/megatron/lib/python3.10/site-packages/torch/distributed/run.py", line 812, in main run(args) File "/home//miniconda3/envs/megatron/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run elastic_launch( File "/home//miniconda3/envs/megatron/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, in __call__ return launch_agent(self._config, self._entrypoint, list(args)) File "/home//miniconda3/envs/megatron/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 268, in launch_agent raise ChildFailedError( torch.distributed.elastic.multiprocessing.errors.ChildFailedError: ``` Signed-off-by:李金梁 <975761915@qq.com>
-
Kirthi Shankar Sivamani authored
* Fixes for wheels Signed-off-by:
-
Kirthi Shankar Sivamani authored
* Specify python version Signed-off-by:
-
Tim Moon authored
Fix linter warnings Signed-off-by: -
Tim Moon authored
* Fix build error with Paddle >2.6.1 Signed-off-by:
-
- 24 Jul, 2024 2 commits
-
-
Tian Zheng authored
* i Signed-off-by:
Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com> * . Signed-off-by:
-
Tim Moon authored
* Set minimum CMake version to 3.21 Stop linking to nvtx. Signed-off-by:
-
- 23 Jul, 2024 1 commit
-
-
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:
-
