GitLab

* 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

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

* 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
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* FFI for all softmax functions
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* FFI for FusedAttnBackward and Dequantize

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* Fix FusedAttnBackward FFI pybind & simplify
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* Revert changes to tests/jax/test_fused_attn.py
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[JAX] XLA Custom Calls with FFI for FusedAttnFwd, Quantize, Transpose, ActLuFP8, LayerNormForwardFP8FFI, and LayerNormBackwardFFI (#1263)

* Add TransposeFFI, test passed
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* Add FusedAttnForwardFFI and some unit tests
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* Minor fix
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* Add LayerNormForwardFP8FFI & LayerNormBackwardFFI
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* Revise FusedAttnForwardFFI()
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* Add FFI_CudaGraph_Traits

All tests passed, ready for merge
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* Bug fix for FFI data type mismatch

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* Specify python version
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* Fixes
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* fixes
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* fix
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* Fixes
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* fix
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* Fix paddle build from src [wip]
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* Fix workflow paddle build
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* fix
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* fixes
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* CLeanup, remove residual code
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replaced plain C asserts with NVTE_CHECK to avoid unused-variable warnings
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* Apply formatting
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* Apply formatting
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---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* categorized `csrc/modules.cpp`
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* adapted the build tool
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---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>