GitLab

* expose multi_tensor_* kernels
Signed-off-by: Xin Yao <xiny@nvidia.com>

* fix lint
Signed-off-by: Xin Yao <xiny@nvidia.com>

---------
Signed-off-by: Xin Yao <xiny@nvidia.com>

skip switching to nvfuser for torch >= 2.2
Signed-off-by: Sudhakar Singh <sudhakars@nvidia.com>

added @torch._disable_dynamo fixed deprecation warnings with torch autocast API for TE checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

restricted fsdp asserts on primary fp8 weights to TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

* add seq_offsets_qkvo for cudnn thd
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add seq_offsets_qkvo to AttnFuncWithCP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix seq_offsets calculation of cudnn thd
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* remove a thd assert
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix bias for thd test
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add thd test for cudnn FA with CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* skip GQA/MQA test for cuDNN THD
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* make sure seq_offsets are computed with qkv_group of hd_hd_hd while CP>1
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix seq_offsets inputs
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* remove two comments
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix attn mask type for cudnn thd with cp
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix attn_mask_type check
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix attn_mask_type for cudnn fa with thd
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix a typo
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix out dout in bwd
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* assert cudnn+thd does not support attn bias
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* check if attn_mask_type has padding
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* minor change
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* change cp test batch size to 2
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix code format
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix two assert info
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix assert comment
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix assert comments
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* minor fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix assert comments
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

---------
Signed-off-by: Xiaowei Ren <xren@nvidia.com>
Co-authored-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* Avoid select operation in cast-transpose extension
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid select operation in cast-transpose-dbias extensions
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid select op in LayerNorm and RMSNorm
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix linter errors
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* New TE wrapper for PyTorch FullyShardedDataParallel to make TE modules distribute their activations after the forward pass and gather them before the backward pass
Signed-off-by: Alp Dener <adener@nvidia.com>

* simplified TE module setup for FSDP comms
Signed-off-by: Alp Dener <adener@nvidia.com>

* FSDP scatter/gather for tensors saved into autograd ctx now working for base TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

* make sure activation recompute disables FSDP scatter/gather
Signed-off-by: Alp Dener <adener@nvidia.com>

* make sure Fp8 weight buffers are sharded at the end of the backward pass and gathered before forward
Signed-off-by: Alp Dener <adener@nvidia.com>

* Fixed typo in attribute name
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed bug in finding FSDP-wrapped TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed typo in fp8 weight tensor name
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed incorrect # of gradients
Signed-off-by: Alp Dener <adener@nvidia.com>

* Added fp8 amax gradient hook tensor to the parameter reset
Signed-off-by: Alp Dener <adener@nvidia.com>

* get rid of erroneous dummy tensor leftover from incorrect rebase
Signed-off-by: Alp Dener <adener@nvidia.com>

* Linting fixes
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixing git snafu and removing debug statements
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove interval arg from recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove usage of interval and use explicit kwarg for testing recipes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Cleanup
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Modify CUDA graph tests to use grad accumulation steps
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Initialize grad buffers before capturing CUDA graph in CUDA graph tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Only use BS=2 in CUDA graph tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update tests/pytorch/test_cuda_graphs.py
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

Replace int8_t in PyTorch extensions with int64_t
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* add THD support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add seq_offsets_o and use new offset calculation
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* addition to previous commit; fix unit test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add None for offset_o gradient
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: test padding between sequences
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: fix tests for padding between sequences
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix tests for sbhd/bshd layouts; clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update cudnn-frontend and add tests for max_seqlen_q=1 and d=256 for inference
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* test sbhd/bshd layouts for sq1, d256 inference case
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace wording from accumulative to cumulative
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add offset tensors to custom fp8 mha tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add version control for cuDNN
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add sm>=90 constraint for thd support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix cuDNN support for sq=1, d=256
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint and minor tweak for fp8 tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* modify cudnn version and restrict MQA/GQA support for THD
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add notes for seq offset tensors
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add dummy tensor to pass jax build
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add dummy tensor to pass paddle build
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix Jax CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* add multi-tensor kernels
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add FusedAdam
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add test to qa
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add FusedSGD
Signed-off-by: Xin Yao <xiny@nvidia.com>

* fix lint
Signed-off-by: Xin Yao <xiny@nvidia.com>

---------
Signed-off-by: Xin Yao <xiny@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Initial refactor of FP8 workspaces in Linear module
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove extra kernel launch
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Minor perf optimizations

Tensor base class functions in Float8Tensor have significant overhead.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug FP8 recipe test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Refactor FP8 workspaces in LayerNormLinear and LayerNormMLP
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Document FP8 workspace function
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Revert changes to FP8 recipe tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add support for lazy FP8 transpose caching

Previous caching behavior (always fill cache) incorrectly filled cache during CUDA graph warmup steps.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix Pylint warnings
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug ONNX export

ONNX FP8 cast ops assumed that FP8 scales were created during model export (i.e. not initialized during training).
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug fused attention tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Make sure Float8Tensor.transpose_2d is backward compatible
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Revert changes to ONNX export operations

Work around ONNX test failures by filling FP8 scale tensors instead of copying into them.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug scale factor update in Float8Tensor transpose_2d
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

Make sure RoPE frequencies are in FP32
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fixed Llama tutorial. Changed batch size and added fused=True.
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Tutorial updated but not complete yet.
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Tutorial notebook reseted - removed fuse=true
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Removed fused=true
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Batch size back to 8
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Typo and commented out line
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* fixed whitespace
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* fixed whitespace
Signed-off-by: root <root@ipp2-0037.nvidia.com>

* Added comment to attention line. Fixed potential bug with loading weights - now loading works correctly, confirmed by the generation code.
Signed-off-by: root <root@ipp2-1661.nvidia.com>

* Comments
Signed-off-by: root <root@ipp2-1661.nvidia.com>

* Models cast added again
Signed-off-by: root <root@ipp2-1661.nvidia.com>

* Weight download info
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Moved parameter gate_proj_size to config
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* gate_proj_size removed and put immediate_size instead
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Llama 3 added to tutorial
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Typos fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Typos fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Fixed model loading
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Loading fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Different dim for attention
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Reversed other commit
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Changed name to kv_channels
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Fixed typo
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Back to kv_channels in transformer layer
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Back to kv_channels in transformer layer
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Small bug fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Small bug fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Test fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* changed file modes
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* lint fix and resolved conflict
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* lint fix and resolved conflict
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Lint fix, hopefully last
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Signed-off-by: root <root@ipp2-0037.nvidia.com>
Signed-off-by: root <root@ipp2-1661.nvidia.com>
Co-authored-by: root <root@ipp2-2373.nvidia.com>
Co-authored-by: root <root@ipp2-1588.nvidia.com>
Co-authored-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Co-authored-by: root <root@ipp2-0037.nvidia.com>
Co-authored-by: root <root@ipp2-1661.nvidia.com>
Co-authored-by: root <root@ipp2-2371.nvidia.com>
Co-authored-by: root <root@ipp2-1589.nvidia.com>
Co-authored-by: Sudhakar Singh <sudhakars@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

TE checkpoint now preserves the torch autocast context from the forward pass during the recompute phase
Signed-off-by: Alp Dener <adener@nvidia.com>

replaced deprecated pkg_resources with packaging
Signed-off-by: Alp Dener <adener@nvidia.com>

* Calibration fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Lint fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
Co-authored-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* fix inconsistency for attn mask; now True means participating in attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix sliding window window_size for decoder+padding combination
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert paddle changes regarding mask
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert softmax to 1-mask;0-keep
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* enforce 1-mask out; 0-keep rule for jax masks
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix jax lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert pytorch mask changes; some kept in tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert to jax fused attn on main
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* inverse mask logic for get_cu_seqlens/_and_indices in PyTorch implementation and mask generation in unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* temporarily disable update_weight_scale_inv
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* enforce window_size for decoder
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add docstring for mask definition 1-mask out;0-keep
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add aux_ctx_tensors to save_for_backward
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* tweak make_decoder_mask and make_mask in jax tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* skip dBias for shapes other than 1HSS; otherwise dq/dk/dv NaNs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* expand attn_biases from list to variables in save_for_backward
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix use of variable before assignment in jax dact_lu
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove window size definition for decoder
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add change notes in README for padding mask in PyTorch
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* tweak padding mask notes in README
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* expand list to tensors for save_for_backwards
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* added squared relu in te-torch
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

Signed-off-by: kunlunl <kunlunl@nvidia.com>
Co-authored-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

Bump FA version to 2.5.8
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* initialize tp_group for FP8 DPA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix cuDNN version in unit tests for cuDNN v9
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add hook to ignore missing fused_attn._extra_states if training from old checkpoints
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove test and redundant implementation from last commit
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove warning message and replace with docstring
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove tp_size/tp_group in FusedAttention; amax reduction is handled with fp8_group
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* move core_attention.fused_attention._extra_state to core_attention._extra_state
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* simplify post_state_dict_hooks between FU and DPA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add temporary test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove previous attempts to move core_attention.fused_attention to core_attention; keep the test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove the test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* disable pylint self arg for hook which is required by hook
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* Handle the scaling factor when amax is too tiny that leads to an infinite scale
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert formatting changes
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* fix comments
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* apply review suggestion
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* add test_recipe.py to qa/L0_pytorch_unittest/test.sh; fix unittest for is_first_microbatch=False
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert changes to update_weight_scale_inv
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* Debug test failures
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Jinze Xue <jinzex@nvidia.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Jinze Xue <jinzex@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>

Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix linter warnings from unused args
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update .gitignore
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

remove tp_size/tp_group as amax reduction is handled by fp8_group()
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* Add support for MoE with FP8.
Signed-off-by: Dennis Liu <denliu@nvidia.com>

* Fix unittest.
Signed-off-by: Dennis Liu <denliu@nvidia.com>

* Fix error in linear backward.
Signed-off-by: Dennis Liu <denliu@nvidia.com>

---------
Signed-off-by: Dennis Liu <denliu@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>

* make FusedAttn with CP support bias
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* assert Alibi cannot work with CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* syntax fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix variable name
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix tensor shapes
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* a typo fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix bias indexing for CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* bug fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add attn bias tests
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* change dbias update location
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix CP test model configs
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* change CP test sequence length
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* make AttnFuncWithCP support qkv format of sbhd
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* make sure qkv are contiguous for CP in cuDNN fused attn
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* change assert message
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix code format
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

---------
Signed-off-by: Xiaowei Ren <xren@nvidia.com>
Co-authored-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* Try using global buffer for cu_seqlens
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Avoid using functools.lru_cache
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Remove unnecessary Pylint overrides
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fixes to lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Support noop concat without providing full tensor

Stop storing fused buffers in linear modules.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug noop cat func
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Construct TE modules in tests with correct dtypes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add tolerances to numerical tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use plain PyTorch concat when exporting to ONNX
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

fix type checking in checkpointing to assume that there must be TE modules in custom callables
Signed-off-by: Alp Dener <adener@nvidia.com>

[UB] Adding configurable timeout for userbuffer and improving error reporting for potential hangs (#757)

* Improving error reporting and hang detection logic

* Adding verbose error reporting in case of UB hang
* Adding CE hang detector
* Replacing hard-coded timeout with configurable one
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Cleaning up warnings in the code
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Removing unused codes
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Fixing styling issues reported on github
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Addressing lint new line and casting warnings
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Addressing lint warning about the usage of `unsigned long long`
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Removing unused case causing build issues on multi-arch setup
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

* Post GRDCOPY removal cleanup

* Remove cmake check
* Remove unused includes
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>

---------
Signed-off-by: Pasha (Pavel) Shamis <pasharesearch@gmail.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fixes; docs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Check for FP8
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix LoRa-like use cases
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Reviews
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* changed TE checkpoint passthrough logic to also recursively look for TE submodules
Signed-off-by: Alp Dener <adener@nvidia.com>

* simplified search for TE modules in the checkpointed network
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>

Use torch function as a class method
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* WIP: fp8 v1 fprop integration
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add more debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fprop working for h1; w/ debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: add bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* cleanup; bprop running but has mismatches
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add gitlab frontend as submodule
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up and add back v0.9.2 FE support; fprop/bprop passing with 5e-2 tols
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix after merge; add bias_b/h to caching descriptor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* distinguish fwd/bwd tensor types for bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix for F16 cases; include added dqkv_type and d_scale_dp
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* adjust out shape for bwd in test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add casting from/to FP8 to DPA module
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: bshd_bshd_bshd layout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: support all sbhd/bshd layouts
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add qkvpacked and kvpacked support in both FusedAttnFunc and C levels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove qkvpacked/kvpacked calls in DPA module (used for testing)
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove tp setup; add allow_non_contiguous; update FE; revert to sbh3d in tests; clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add NVTE_FP8_DPA_BWD to control whether to use FP8 bwd or F16 bwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA/GQA in FP8 v1 API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 705d8e3, with API change
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* test causal mask
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* restrict mha_fill for THD format
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fused attn with CP and comment out is_alibi code
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up FE0.9 vs FE1.0 FP8 implementations, and related unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change NVTE_FP8_DPA_BWD default to 1, and fix its use in qkvpacked/kvpacked APIs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint and self.tp_size/group in FusedAttention()
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 6902c94
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 MHA support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update to FE v1.3.0
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for FP8 MHA with different configs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* emit stats regardless of is_training
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix linear when input is not Float8Tensor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix d_out type when f16 bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix user buffer for layernorm_linear/linear and revert two FP8 casts in MHA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add docstring for fp8_dpa/mha in recipe
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix backend selection to avoid FA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* use RMSE for FP8 unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace two more transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 initialization to FusedAttention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* rm docs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Revert "add FP8 initialization to FusedAttention"

This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8.
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change order of ctxs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add back docs and mark as beta
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for tests and docs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>