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  1. 15 3月, 2022 1 次提交
    • J
      oneDNN NHWC fixes (#40049) · dde9cec0
      由 Jacek Czaja 提交于 
      * - Prototype of third solution

- fix

- compilation fixes

- fix

- fixe

- fix

- fix

- compilation fix

- comment fix

- lint

update mkldnn conv_elementwise_add_fuse_pass ut

- NHWC changes to prelu

- alhpa dims

- UT fix

- fix to UT

- lint

- Some fixes

- added to BWD of prelu NHWC support

- reverted removal of resetting cu_layout in clearing of caching

* - Small changes

* - compilation fix

* - fix

* - fix

* lint

* - fixes after internal review

* - compilation fix

* - lint
      dde9cec0
  3. 14 3月, 2022 3 次提交
    • T
      Add an elementwise + activation fusion pass. (#36541) · 3f219160
      由 Tomasz Socha 提交于 
      * Add elementwise add and activation fuse pass

* Fix copy ellision

* More flexible pattern detector

* More flexible fusion pass

* Update lists for pass

* Add support for Pow operator

* Add support for more activation types

* Style

* Rename fusion pass

* First version of tests

* Dirty version of pass

* Polished version

* Update pbtxt

* Style

* Update names

* Style

* Use PADDLE_ENFORCE_EQ

* Save error message to variable

* WO for error checks

* CR

* Static style check

* Add missing 'activation_scale' attribute

* Add relu6 and sigmoid activations

* Style

* Fix fuse list formating

* Sync filenames for fuse pass files

* Fix cmake after move

* Fix registration

* Fix pass name in tests

* Add missing activations to checker

* WIPS

* Working mul op

* Working sub

* Working Add

* Remove pten includes

* Remove some forward declarations

* Remove Includes

* Fixes

* Remove default kernels

* Add check if post_ops attributes are avaliable

* Style

* Code adjustment

* Register default kernels

* We have year 2022 not 2021...
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Fast review fixes
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Review Fix

* Rename one_dnn -> onednn

* Style after review

* Fast and dirty fix for quantization

* Update tests

* Style

* Fix mkldnn_quantizer config

* Add Joanna's suggestion.

* Check if operator is explicitly disables on OneDNN

* Try to use unregistered attributes

* Style

* Test new framework

* FXI

* FXII

* Update test

* Style
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>
      3f219160
    • L
      [KP] Add unittests for... · f269ca3f
      由 Lijunhui 提交于 
      [KP] Add unittests for brelu,ceil,celu,elu,floor,hard_shrink,hard_sigmoid,log1p,logsigmoid,relu6,silu,soft_relu,softsign,swish (#40448)

* solve unexecuted UT

* add 24 activation op UT

* append swish&thresholded_relu to kpfirst_list

* rm thresholded_relu
      f269ca3f
    • L
      Update profiler (#40460) · 89a70c76
      由 liutiexing 提交于
      89a70c76
  5. 11 3月, 2022 2 次提交
  7. 10 3月, 2022 2 次提交
  9. 09 3月, 2022 1 次提交
  11. 08 3月, 2022 3 次提交
  13. 07 3月, 2022 1 次提交
    • M
      cuBlasLt Epilogue To Fuse Linear + ReLU|GeLU (#39437) · 2a3d9eca
      由 Ming-Xu Huang 提交于 
      * Added cuBlasLtHandle_t to device context.

* Added fused_gemm_epilogue op.

1. Added fused_gemm_epilogue op to leverage cuBlastLt Epilogue.
2. Support fusion Act(X*Y + bias), X'dims >=2 and Y'dims shoule be 2.
2. Act currently only be supported ReLU. (Will add GeLU in the future).

* Added UT to fused_gemm_epilogue op.

* Added LinearAct Pattern

1. Added LinearAct into graph_pattern_detector.* to define (2.)'s
pattern.
2. LinearAct is used to detect act(element_add(matmul_v2(x, w), bias)).
3. act currently only support ReLU (Will support GeLU in the future).

* Added FuseGemmEpiloguePass

1, Added FuseGemmEpiloguePass to handle nn.Linear + Act{ReLU}
fusion (GeLU will be supported in the future).
2. Only support matmul_v2 from nn.Linear.

* Added pybind to BuildStrageter.fuse_gemm_epilogue_.

* Added UT for fuse_gemm_epilogue_pass.

* GeLU support and EpilogueSingleton

1. Added GeLU support to fused_gemm_epilogue op.
2. Added EpilogueSingleton to cache auxiliary pointer.
3. Added related UTs.

* Rename cublaslt_epilogue_opto gemm_epilogue_op.*.

* Added both train and infer pattern to LinearAct.

1. Added support of fwd graph with grap_ops linking to LinearAct.
2. Added related changes to fuse_gemm_epilogue_pass for above
modification.

* Changed CUDA requirement from 11.4 to 11.6 for fuse_gemm_epilogue_pass.

* Added identity activation support to gemm_epilogue_op.

* Added Linear Fusion (matmul_v2 + ele_add)

1. Added matmul_v2 + ele_add pattern to LinearActPattern.
2. Added matmul_v2 + ele_add support to fuse_gemm_epilogue_pass.

* Rename gemm_epilogue_op.* to fused_gemm_epilogue_op.*

* Add fused_gemm_epilogue_grad op.

1. Added fused_gemm_epilogue_grad to support backward epilogue fusion.

* Add UTs to fused_gemm_epilogue_grad_op.

* Change attribute name in fused_gemm_epilogue_grad_op for clearing.

* Allow DX and DBias be dispensable to fused_gemm_epilogue_grad op.

* Added ElementwiseAdd+Matmul+Act graph pattern detection.

* Fuse backward of Linear( Act(x))

1. Added backward fusion pass to Linear( Act(x)).
2. Added backward fusion pass to Linear(x).

* Added UTs to backward fusion of Linear(Act(x)).

* Complete document of arguments to fused_gemm_epilogue_op.

* Made arguments of some functions pass by reference.

* Modify code with review comments.

1. Made arguments of some function pass by reference.
2. Removed redundant code.
3. Followed Google code style to change code.

* Made 'const' code style be consistent

* Fixed random seed of python UTs.

* Set Compiling constrains to cuBlasLt

1. Require CUDA 11.6+
2. Remove fuse_gemm_epilogue related tests when CUDA < 11.6.

* Code Reivew from Paddle

1. Changed arguments name is_first_gemm to without_x_gradient for
clearing.
2. Applied PADDLE_THROW in fused_gemm_epilogue_op.

* Remove EpilogueSingleton

1. Applied ReserveSpace to replace Epilogue for passing auxiliary
pointers between FWD and BWD.

* Fix a logical error and enhance UTs.

1. Added act op count checking in UTs.
2. Fix issue to fuse backward or ReLU(Linear(X)).
3. TODO: solve GELU fusion issues.

* Fix Linear and GeLU fusion issues.

1. Modified graph_detech_pattern to fit with both linear wiht gelu or
relu.
2. Modified data range in Uts to allow negative values.

* Removed fused_gemm_epilogue_op.h.

* Rename namespace pten to phi.

* Rename name of arguments in fused_gemm_epilogue_op

1. bias -> Bias.
2. out -> Out.
3. reserve_space -> ReserveSpace.

* Change EpiloguePassActivationCache as local variable.

1. Removed singleton in EpiloguePassActivationCache.
2. Made EpiloguePassActivationCache as an argument to each pass
functions.
      2a3d9eca
  15. 04 3月, 2022 2 次提交
  17. 03 3月, 2022 3 次提交
  19. 02 3月, 2022 3 次提交
  21. 01 3月, 2022 2 次提交
  23. 28 2月, 2022 6 次提交
  25. 25 2月, 2022 3 次提交
  27. 24 2月, 2022 2 次提交
  29. 23 2月, 2022 6 次提交