GitLab

* Fixes to test_onnx_export when saving input and output tensors

- Allow saving i/o tensors when onnxruntime inference is skipped
- Support saving multiple outputs
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>

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

---------
Signed-off-by: Gal Hubara Agam <ghubaraagam@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* iFix LN ONNX export

When exporting LayerNorm make sure that the weights and bias
inputs have the same type as the LN input.
Also:
 * Add a regression test.
 * Add environment variable to override directory of generated test artifacts
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

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

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

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix model load exception when state resides on GPU

- Whenever converting a torch.tensor to numpy, we need to first
migrate the tensor storage to the host CPU.

- Add a warning not to do contant-folding when exporting to ONNX.
This is due to a torch.onnx export bug.

- Refactor compare_outputs
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Onnx export: Improve remark text
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

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

* better message for no fp8
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* same thing for onnx test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix CI and review
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Change FP8 recipe defaults
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Increase default amax history length
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Always check history size
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* no amax history for onnx export
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* revert onnx export test changes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix indices in onnx test
Co-authored-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Neta Zmora <nzmora@nvidia.com>

Signed-off-by: Tal Cherckez <tcherckez@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix GELU ONNX export

* Wrap GELU export with cast to/from FP32 to achieve same compute precision as TE.
* Increase GELU export test thresholds.
* Change export to ONNX opset 17 for smaller representation of LN (single node instead of subgraph).
* Remove the need for LN work-around for ORT
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Add docstring to te_onnx_extensions.py::compute_in_fp32
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Tune threshold for GELU ONNX export

Ran 8K test instances to verify the threshold.
Allow 2 coefficients to escape threshold. Two wrong coefficients
are not a failure.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Add an option to serialize test i/o to file

Small refactoring of the inferencing code.
Change the default directory where generated ONNX files are stored.
Use the temp directory to avoid clogging the file system.
Add an option to serialize test input/output tensors to a
Polygraphy RunResults object.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add a temporary workaround to layernorm export

Seems like ORT is performing template-matching for LN and incorrectly concludes
that it doesn't have a kernel for FP32 LN. The work-around adds the addition of
fake_zero which is meant to prevent the template matching while keeping the graph
virtually unchanged. This also requires `do_constant_folding=False` in
`torch.onnx.export`.
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Adjust test threshold
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Opened an ORT bug and added the link for tracking
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Fix Python linter errors
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Simplify the LN workaround solution (ONNX export)

After discussing https://github.com/microsoft/onnxruntime/issues/15021


with Microsoft engineers, replaced the LN workaround with a simpler
implementation.

In addition:
* To make test more robust add `allow_cnt_errors` to `validate_result`
* Add more documentation to clarify the purpose and methodology of the
ONNX export tests
Signed-off-by: Neta Zmora <nzmora@nvidia.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Fix unused import
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Neta Zmora <nzmora@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* deprecate qk layer scaling and fp32 softmax args
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* apply QK layer scaling for fp16 training
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* ignore self attention mask for causal type
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* further relax checks to run FA, update docs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix pytorch softmax path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* minimum ampere requirement for fa
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* move TE/PyTorch UT to tests/pytorch

1. move tests/* files to tests/pytorch/
2. adjust UT paths in qa/L0_unittest/test.sh
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update build.yml
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Deprecate fp32_output option for PyT linear layers

Automatically detect dtype for user-provided output tensors.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove deprecated options
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* add flash attention to TransformerLayer
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Add docs for FP8 calibration (#61)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Fix the integer overflow in fused softmax (#60)
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* prefix flash attn env var with NVTE_
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Address steady memory increase and bloated checkpoints (#63)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix env var logic
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix flash attn env var logic again
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* remove d2d copies (#64)

* remove d2d copies
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Increase number of FP8 tensors per GEMM (#22)

* Increase number of FP8 tensors per GEMM
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Enable FP8 output tensor for fp8_gemm
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* [BERT FP8] Initial TE review comments
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Temporary fix for cuda graph non convergence
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Address review comments-2
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Review comments-3
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Cleanup
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Change for New API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Remove unnecessary clone for D_scale, D_amax
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Avoid Roll for AMAX history size = 1
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Update onnx_te_gemm API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Fix Lint errors
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

---------
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Bug fixes from PR 22 (#65)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* bundle unittests for ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* replace rearrange with transpose
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* QKV parameters unfused path fixes and optimization (#66)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Better QKV parameter fusion
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* keep original param for unfused case to retain externally set attrs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* No need to set data pointers
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Assert memory loc in NoopCat
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Handle case of different memory in param and buffer
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix assert always true
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Reassign params memory to avoid more concats
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix gradients when using AMP (#70)

retain grad related attrs while casting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix pylint violations 

fixed pyline violations such as trailing white spaces and too long lines 
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix pylint violation on line 264 with R1719
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix two more pylint violations
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

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

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

* fix assert always true
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* check for correct flash-attn version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* lint+build fixes, correct settings for default flash-attn
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* fix onnx and disable flash-attn export test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* cleanup internal API; rm duplication
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* only install TE wheel (exclude flash-attn to rm conflicts)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* forgot to change install wheel path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* next round review comments
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* fix QK layer scaling
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* review comments and fixes to selective checkpointing
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Charlene Yang <charleney@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* C++ implementation of LayerNorm1P
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Expose zero centered gamma to pyTorch
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix ONNX export
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix ONNX export and tests
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Fix lint
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix backward handling - C++ part
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix for backward - Python side
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix FP8 path
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Reenable the pylint check
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix the NVTX marker
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Change in the bwd kernel
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Add ONNX export support for TE modules (#1)

* Add TorchScript Operators
* Add symbolic methods to ONNX exporter
* Add tests for the ONNX export
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fixes for pylint tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint warning in softmax.py
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* move FP8 ORT lib inside tests/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable cross attention tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* refactor code by @nzmora
* Increase layernorm FP16 threshold
* Normalize onnx file names: _ separates configs; - separates words in a single config
* Add get_attn_mask_str and fix mask string
* Add missing ONNX files
* Moved generated ONNX files to tests/gen_onnx_models/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix merge conflict changes
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix Q/DQ scale input
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable FP16 config when bias is disabled
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint check errors
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* updates
1. remove List import for pylint failure
2. address comments: remove state tensors from GPU
3. address comments: Update reverse_map_dtype function and add to namespace
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: coding guidelines
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes:
1. skip FP8 tests on  non-hopper devices
2. minor fix for C++ lint check
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix onnxruntime version
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: add space between code and comment
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes
1. update copyrights
2. update path to ORT .so
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* Apply suggestions from code review
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>