1. 17 1月, 2022 1 次提交
  2. 15 1月, 2022 1 次提交
  3. 14 1月, 2022 2 次提交
  4. 13 1月, 2022 2 次提交
    • C
      [pten]Remove pten/include dir files (#38878) · 7e0292ea
      chentianyu03 提交于
      * move dot_dev api into dot_kernel.h
      
      * add infermate header
      
      * modify to dotkerel in dot_op.h
      
      * mvoe conj dev api into complex_kernel.h
      
      * move sign dev api into  sign_kernel.h
      
      * move scale dev api into kernel.h and remove infermete.h
      
      * rm paddle/pten/include/math.h
      
      * rm paddle/pten/include/math.h
      
      * rm include dir
      
      * rm paddle/pten/include/math.h
      
      * fix conflict with develop branch
      
      * rm devContext in conj_op.h
      
      * add the missing complex_kernel header
      7e0292ea
    • splits allocation for pten, test=develop (#38853) · 277cf900
      石晓伟 提交于
      277cf900
  5. 12 1月, 2022 1 次提交
  6. 11 1月, 2022 1 次提交
    • W
      [Eager] fix some eager logic (#38576) · d3686471
      wanghuancoder 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * eager test case
      
      * support inference test
      
      * refine test and fix initializer failed
      
      * modify eagertensor patch method
      
      * add eagertensor.clear_grandint, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * support create varbase and fix retain grad error
      
      * call monkey_patch_varbase in _test_eager_guard, test=develop
      
      * fix windows error
      
      * split clear_gradient to clear_gradient and zero_grads, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * support test_imperative_basic test in eager mode
      
      * remove additional log in variable.h
      
      * remove additional log in variable.h
      
      * remove additional code create in merge
      
      * eager
      
      * fix some eager logic, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NJiabinYang <360788950@qq.com>
      d3686471
  7. 10 1月, 2022 2 次提交
    • Y
      ededcda2
    • Z
      [Unify Tensors PR #5] framework::Tensor inherits from DenseTensor,test=allcases (#38632) · 5c73a6ea
      Zhanlue Yang 提交于
      * Added shared_ptr<Allocation> member & corresponding interfaces to Storage
      
      * Removed original pten::Allocation from Storage and adjusted the interfaces accordingly
      
      * Fixed issues with storage offset
      
      * Used place to malloc allocation for TensorStorage
      
      * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor
      
      * Fixed issues with place
      
      * Added comments
      
      * Moved mutable_data with stream argument to DenseTensor
      
      * Added set_offset interface
      
      * Fixed CI issues,test=allcases
      
      * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor
      
      * Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor
      
      * Modified framework::Tensor to inherit from DenseTensor
      
      * Reverted changes too pten_layout() interface
      
      * Removed friend classes
      
      * Rearranged cfunction calls from tensor.data<void>() to tensor.data()
      
      * Fixed CI issues
      
      * Fixed lite issues
      
      * Fixed data() interface issues,test=allcases
      
      * Resolved IsInitialized() issues
      
      * Fixed ResetHolder() issues
      
      * Fixed MKLDNN & Storage issues
      
      * Resolved ShareBufferWith() issues
      
      * Fixed LoD issues
      5c73a6ea
  8. 07 1月, 2022 1 次提交
  9. 06 1月, 2022 1 次提交
  10. 05 1月, 2022 2 次提交
    • W
      [Eager] Support test imperative basic in eager test_empty_grad (#38376) · 9108e777
      wanghuancoder 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * eager test case
      
      * support inference test
      
      * refine test and fix initializer failed
      
      * modify eagertensor patch method
      
      * add eagertensor.clear_grandint, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call monkey_patch_varbase in _test_eager_guard, test=develop
      
      * split clear_gradient to clear_gradient and zero_grads, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NJiabinYang <360788950@qq.com>
      9108e777
    • W
      Support EagerTensor initialization with kwargs (#38488) · 4ba6d4e4
      Weilong Wu 提交于
      * Support EagerTensor init with kwargs
      
      * Updated comments
      
      * Updated unit tests case
      
      * Refactor InitTensor related code to reduce duplicate code
      
      * Updated the error reporting msg
      
      * Updated VLOG msg
      
      * Merge develop and Update EagerTensor init func
      
      * Polish switch case, reduce some code
      
      * Add SyntaxError unit test case
      
      * Refactor the related initialization func of EagerTensor
      
      * Remove ParseStopGradient and ParseZeroCopy and ParsePersistable, construct ParseBooleanArgs instead.
      
      * Updated error msg to pass CI
      
      * Updated PADDLE_ENFORCE error type
      4ba6d4e4
  11. 31 12月, 2021 2 次提交
  12. 30 12月, 2021 2 次提交
    • Y
      [Auto parallel] Make sure the id semantics of every var and op unique (#38132) · 5620214e
      Yulong Ao 提交于
      * [Auto parallel] Make the id of var and op unique
      
      * [Auto Parallel] Rename back dist_context to distop_context
      5620214e
    • J
      Support test imperative basic with fixed retain grad interface (#38548) · 2421a25a
      Jiabin Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * support inference test
      
      * refine test and fix initializer failed
      
      * support create varbase and fix retain grad error
      
      * fix windows error
      
      * support test_imperative_basic test in eager mode
      
      * remove additional log in variable.h
      
      * remove additional log in variable.h
      
      * remove additional code create in merge
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      2421a25a
  13. 29 12月, 2021 1 次提交
  14. 28 12月, 2021 1 次提交
    • J
      Support test basic of Var and Layer (#38426) · 1fb80a6a
      Jiabin Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * support inference test
      
      * refine test and fix initializer failed
      
      * support create varbase and fix retain grad error
      
      * fix windows error
      
      * support test code coverage
      
      * support test code coverage
      
      * support test code coverage
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      1fb80a6a
  15. 26 12月, 2021 1 次提交
    • C
      [PTen] Move copy kernel impl (#38421) · 73819658
      Chen Weihang 提交于
      * add register general kernel marco
      
      * move copy kernel impl
      
      * revert needless change
      
      * polish details
      
      * fix xpu compil faild
      
      * fix xpu compile failed
      
      * polish format
      73819658
  16. 24 12月, 2021 3 次提交
    • Z
      [AMP] Add multi_precision for sgd (#38231) · a4d07bb9
      zhangbo9674 提交于
      a4d07bb9
    • B
      fix share buffer to (#38407) · 9409ff6b
      Baibaifan 提交于
      9409ff6b
    • J
      Support test imperative basic in eager (#38313) · d48f7c89
      Jiabin Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * support more eager tensor api
      
      * fix merge compile error
      
      * fix compile error and fit develop code
      
      * support pure CPU
      
      * fix some logic error in eager_mode
      
      * support _varbase_creator in eager mode
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      
      * for eager mode
      
      * refine
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * eager logic
      
      * refine test in pure cpu
      
      * eager logic
      
      * eager logic
      
      * eager logic, test=develop
      
      * skip core.eager when in inference, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * call RetainGrad after run forward kernel, test=develop
      
      * refine, test=develop
      
      * support dygraph util, meta, guard test
      
      * support inference test
      
      * refine test and fix initializer failed
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      d48f7c89
  17. 23 12月, 2021 1 次提交
  18. 21 12月, 2021 2 次提交
  19. 20 12月, 2021 3 次提交
  20. 17 12月, 2021 5 次提交
    • J
      Support multi place constructor (#38171) · 6f439e5a
      Jiabin Yang 提交于
      * support more eager tensor api
      
      * support multiple constructor for eager tensor
      
      * add place related code
      
      * polish code
      
      * specific randint with dtype of int64
      
      * Support pure cpu test
      
      * refine test in pure cpu
      
      * refine test in pure cpu
      6f439e5a
    • S
      Refine some AMP operators for BERT (#37923) · d80fe268
      sneaxiy 提交于
      * support multi precision update for LAMB
      
      * hide some api
      
      * fix ci uts
      
      * fix lamb output of dygraph
      
      * remove some changes to some PR
      
      * try to fix Py3 CI compile error
      
      * fix test_imperative_optimizer, add lars ut, add layer_norm ut
      
      * fix ut, fix format
      
      * fix ut
      
      * fix windows ci
      d80fe268
    • Z
      Generated CoreOpsInfos for potential use in append_op API (#38085) · e3b033f9
      Zhanlue Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * Generated CoreOpsInfos for potential use in append_op API
      
      * Fixed CI problem
      e3b033f9
    • K
      add op/api repeat/interleave (#37981) · a7de0e66
      kuizhiqing 提交于
      a7de0e66
    • Y
      [fleet_executor] run time graph on python side (#38164) · fc701369
      Yuang Liu 提交于
      fc701369
  21. 16 12月, 2021 3 次提交
    • J
      support eager switch system (#38170) · 8305c2be
      Jiabin Yang 提交于
      * support eager switch system
      
      * polish code
      8305c2be
    • L
      Add sparse_attention mask ,test=develop (#37973) · fa463b90
      Liu-xiandong 提交于
      Add key_padding_mask and attn_mask in sparse_attention Api
      
      1.Key padding mask is a tensor with dimensions [batch_size, seq_len], and attention mask is a tensor with dimensions [seq_len, seq_len]. The data types of the two masks are consistent with Q, K, and V, which are float32 or float64. If the value in Mask is 0, it means that the position needs to be masked.
      
      2.The changed files are mainly paddle/fluid/operators/sparse_attention_op.cu and python/paddle/fluid/tests/unittests/test_sparse_attention_op.py. sparse_attention has three parts: sddmm, softmax, and dsd. Adding the mask operation only needs to modify the softmax. It has no effect on the other two parts. In addition, in order to test the mask function, related tests has been added.
      fa463b90
    • Z
      Enabled Eager AutoCodeGen for All Existing Operators & Possible Future Operators (#37969) · 08482a86
      Zhanlue Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Enabled Eager AutoCodeGen for All Existing Operators & Possible Future Operators
      
      * Fixed CI issues
      08482a86
  22. 15 12月, 2021 1 次提交
    • Z
      Synchronized auto-generated Python-C API with Dygraph Forward Functions (#38017) · 77dfb2e8
      Zhanlue Yang 提交于
      * Rearranged Eager AutoCodeGen directory structure
      
      * Removed USE_OP in Eager AutoCodeGen
      
      * Enabled generation for Operators without Grad/Inputs/Outputs
      
      * Resolved operators without input
      
      * Fixed merge conflicts
      
      * Enabled Eager AutoCodeGen for 10+ more operators
      
      * Refactored Eager AutoCodeGen with more organized helper objects
      
      * Enabled Eager AutoCodeGen for operators with multiple OpBases
      
      * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument
      
      * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen
      
      * Adjusted function generation/call between Python-C API & Dygraph API
      
      * Synchronized auto-generated Python-C API with Dygraph Forward Functions
      
      * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
      77dfb2e8
  23. 14 12月, 2021 1 次提交