1. 14 6月, 2022 1 次提交
  2. 05 6月, 2022 1 次提交
  3. 02 6月, 2022 1 次提交
  4. 11 5月, 2022 1 次提交
  5. 09 5月, 2022 1 次提交
  6. 29 4月, 2022 2 次提交
  7. 26 4月, 2022 1 次提交
  8. 19 4月, 2022 1 次提交
  9. 14 4月, 2022 1 次提交
    • Z
      [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode (#41668) · ad9585b6
      Zhanlue Yang 提交于
      * [DoubleGrad] Enabled double grad test cases in eager_mode for test_imperative_double_grad
      
      * Fixed elementwise issue
      
      * Addressed CI failures
      
      * [DoubleGrad] Enabled test_imperative_triple_grad test cases under eager_mode
      
      * [DoubleGrad] Enabled test_autograd_functional_dynamic.py under eager mode
      
      * Enabled more test cases
      
      * Fixed performance issues
      
      * Fixed minor issue
      ad9585b6
  10. 13 4月, 2022 2 次提交
  11. 12 4月, 2022 1 次提交
  12. 09 4月, 2022 1 次提交
  13. 04 4月, 2022 2 次提交
    • A
      [Eager]Fix tile API final_state and Backward bug (#41385) · ac4a422d
      Aurelius84 提交于
      * [Eager]Fix tile API final_state bug
      
      * fix backward bug
      ac4a422d
    • Z
      [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run (#41306) · a2b80145
      Zhanlue Yang 提交于
      * [Refactor] refactored eager_gen.py PR #2
      
      * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes
      
      * Fixed minor issue
      
      * Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition
      
      * Fixed issues
      
      * Supported higher-order grad node generation
      
      * [DoubleGrad PR #4] Supported higher-order GradNode generation
      
      * [DoubleGrad #4] Bug Fixes to Double Grad Node Generation
      
      * Fixed yaml typo
      
      * Fixed yaml typo
      
      * fixed minor issues
      
      * [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()
      
      * Fixed minor issue
      
      * Fixed CI-Inference issue
      
      * Fixed CI-inference issues
      
      * [DoubleGrad PR #7] paddle.grad() to copy backward graph before backward run
      
      * Fixed minor issues
      
      * Fixed issue with backward graph construction logic
      
      * Fixed implementation issues with backward graph reconstruction
      
      * Fixed unittest issue
      
      * Fixed issues
      a2b80145
  14. 02 4月, 2022 1 次提交
    • Z
      [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad() (#41198) · afadb8c5
      Zhanlue Yang 提交于
      * [Refactor] refactored eager_gen.py PR #2
      
      * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes
      
      * Fixed minor issue
      
      * Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition
      
      * Fixed issues
      
      * Supported higher-order grad node generation
      
      * [DoubleGrad PR #4] Supported higher-order GradNode generation
      
      * [DoubleGrad #4] Bug Fixes to Double Grad Node Generation
      
      * Fixed yaml typo
      
      * Fixed yaml typo
      
      * fixed minor issues
      
      * [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()
      
      * Fixed minor issue
      
      * Fixed CI-Inference issue
      
      * Fixed CI-inference issues
      afadb8c5
  15. 25 3月, 2022 1 次提交
    • J
      Refactor Dygraph Flags (#40786) · 3085d5e4
      Jiabin Yang 提交于
      * refactor eager flags
      
      * fix flags error when we switch from eager to dygraph
      
      * fix ci problem
      
      * fix ci
      
      * fix ci
      
      * merge develop and fix code style
      
      * merge develop and fix code style
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * fix op test error
      
      * merge develop
      3085d5e4
  16. 22 3月, 2022 1 次提交
  17. 21 3月, 2022 1 次提交
  18. 18 3月, 2022 1 次提交
    • Z
      Supported Complex2Real Conversion for Eager Dygraph (#39878) · e3b2a035
      Zhanlue Yang 提交于
      * Supported Complex2Real Conversion for Eager Dygraph
      
      * Supported Complex2Real Conversion for Eager Dygraph
      
      * Enabled complex type promotion test for matmul_v2
      
      * Fix CI issues
      
      * Merged adj_edges_ with GradSlotMeta
      
      * Fixed monir issue
      
      * Adjusted num runs
      
      * Recovered Eager performance tests configurations
      
      * Recovered Eager performance tests configurations
      
      * Adjusted performance tests configurations
      
      * Fixed Minor Issues with performance tests
      
      * Moved out Edge from GradSlotMeta
      
      * Fixed issues from merge
      
      * Fixed typo
      
      * Addressed review comments
      
      * Fixed minor issues
      e3b2a035
  19. 17 3月, 2022 2 次提交
    • W
      [Bug fixes] Fix partial grad conflicts (#40655) · 60899549
      Weilong Wu 提交于
      * [Eager] Support eager grad interface, draft version
      
      * Support eager grad interface with allow_unused and multi startup_op
      
      * Fix code format
      
      * Fix allow_unused case, return PyNone if tensor not initialize
      
      * Support output's stop_gradient related to create_graph
      
      * Support grad exception case in eager mode, fix coverage CI
      
      * Update ToPyObject, return PyNone if not initialize
      
      * AccumulationNode add FLAGS_retain_grad_for_all_tensor
      
      * Fix ci issue
      
      * Fix CI issue
      
      * fix, use core.eager.Tensor
      
      * Add func SetBufferSlotRankZeros for GradTensorHolder
      
      * Support retain_graph by using ClearTensorWrappers
      
      * Support retain_graph by using ClearTensorWrappers
      
      * Update retain_graph and no_grad_vars related test case
      
      * Update code gen logic for ClearTensorWrappers
      
      * Fix by override statement
      
      * fix override func args
      
      * Support retain_graph, update unit tests
      
      * Updated ClearTensorWrappers logic
      
      * fix grad python interface
      
      * Use deep copy and update unit tests
      
      * Polish code
      
      * Polish code
      
      * Fix CI issue, Deep copy only use when user set grad_tensors
      
      * Fix CI, use Backward instead RunBackward
      
      * Fix CI, Declare kernel explicitly in test file
      
      * Polish, remove vector of TensorWrapper
      
      * Refactor the logic of grad/backward, polish codes
      
      * Update code after merge upstream develop
      
      * Polish after merge upstream develop
      
      * Update to adapt new GradNodeBase superclass
      
      * Fix error introduced during conflict resolution
      
      * Update purify potential_startup_nodes logic
      
      * Fix errors
      
      * Polish code
      
      * Remove useless args for ToPyObject
      
      * Remove useless TensorWrappersSet
      
      * Fix code-format, re-install pre-commit
      
      * Fix pre-process logic for potential_startup_ops
      
      * Update unit tests, use eager mode
      
      * Fix conflicts
      60899549
    • W
      [Eager Grad] Support eager grad interface (#40170) · 4db8cf24
      Weilong Wu 提交于
      * [Eager] Support eager grad interface, draft version
      
      * Support eager grad interface with allow_unused and multi startup_op
      
      * Fix code format
      
      * Fix allow_unused case, return PyNone if tensor not initialize
      
      * Support output's stop_gradient related to create_graph
      
      * Support grad exception case in eager mode, fix coverage CI
      
      * Update ToPyObject, return PyNone if not initialize
      
      * AccumulationNode add FLAGS_retain_grad_for_all_tensor
      
      * Fix ci issue
      
      * Fix CI issue
      
      * fix, use core.eager.Tensor
      
      * Add func SetBufferSlotRankZeros for GradTensorHolder
      
      * Support retain_graph by using ClearTensorWrappers
      
      * Support retain_graph by using ClearTensorWrappers
      
      * Update retain_graph and no_grad_vars related test case
      
      * Update code gen logic for ClearTensorWrappers
      
      * Fix by override statement
      
      * fix override func args
      
      * Support retain_graph, update unit tests
      
      * Updated ClearTensorWrappers logic
      
      * fix grad python interface
      
      * Use deep copy and update unit tests
      
      * Polish code
      
      * Polish code
      
      * Fix CI issue, Deep copy only use when user set grad_tensors
      
      * Fix CI, use Backward instead RunBackward
      
      * Fix CI, Declare kernel explicitly in test file
      
      * Polish, remove vector of TensorWrapper
      
      * Refactor the logic of grad/backward, polish codes
      
      * Update code after merge upstream develop
      
      * Polish after merge upstream develop
      
      * Update to adapt new GradNodeBase superclass
      
      * Fix error introduced during conflict resolution
      
      * Update purify potential_startup_nodes logic
      
      * Fix errors
      
      * Polish code
      
      * Remove useless args for ToPyObject
      
      * Remove useless TensorWrappersSet
      
      * Fix code-format, re-install pre-commit
      
      * Fix pre-process logic for potential_startup_ops
      
      * Update unit tests, use eager mode
      4db8cf24
  20. 15 3月, 2022 1 次提交
    • Z
      Added more profile signposts to dygraph (#40201) · 36db75b4
      Zhanlue Yang 提交于
      * Added more signposts to dygraph profiling
      
      * Fixed minor issues
      
      * Refactored signpost names
      
      * Fixed typo
      
      * Removed debug codes
      
      * Fixed typo
      
      * Adjusted signpost names
      
      * Fixed issues from branch merge
      36db75b4
  21. 14 3月, 2022 1 次提交
    • J
      Support custom op and paddle.autograd.bacward in eager (#40423) · 227fa408
      Jiabin Yang 提交于
      * eager, test=develop
      
      * fix bug, test=develop
      
      * eager, test=develop
      
      * merge legacy to fluid
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Refactor TensorAdd func by template and remove gradient_accumulation in eager
      
      * Remove needless target name
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Use overload instead of template
      
      * Remove legacy code
      
      * Remove legacy code
      
      * selectedrows, test=develop
      
      * Remove DataType test
      
      * eager, test=develop
      
      * eager, test=develop
      
      * support gan, test=develop
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * refine code
      
      * ptb, test=develop
      
      * Rename all EagerTensor to Tensor
      
      * Rename some EagerTensor to Tensor
      
      * rename EagerTensor to EagerVariable
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * add more test
      
      * eager, test=develop
      
      * Support copiable selected rows and merge develop
      
      * save load, eager, test=develop
      
      * save load, eager, test=develop
      
      * refine, test=develop
      
      * remove useless _set_value method
      
      * refine, test=develop
      
      * refine, test=develop
      
      * revert static_runner, test=develop
      
      * EagerTensor to Tensor, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * clear grad, test=develop
      
      * merge, develop
      
      * merge, develop
      
      * merge, test=develop
      
      * merge, test=develop
      
      * Support quant and part of slice
      
      * support legacy static save
      
      * extend slim tests time
      
      * remove imperative on inference
      
      * remove imperative on inference
      
      * merge develop
      
      * fix typo
      
      * fix typo
      
      * split slice related code into 2 part for imperative and eager
      
      * split slice from inference
      
      * split slice from inference
      
      * fix test_tensor_register_hook
      
      * support custom op in eager mode
      
      * fix inference deps error
      
      * split eager utils from custom operator
      
      * fix type match
      
      * fix typo
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      Co-authored-by: NWeilong Wu <veyron_wu@163.com>
      Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>
      227fa408
  22. 03 3月, 2022 1 次提交
    • J
      Support slim eager (#39874) · da47544c
      Jiabin Yang 提交于
      * eager, test=develop
      
      * fix bug, test=develop
      
      * eager, test=develop
      
      * merge legacy to fluid
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Refactor TensorAdd func by template and remove gradient_accumulation in eager
      
      * Remove needless target name
      
      * eager, test=develop
      
      * eager, test=develop
      
      * Use overload instead of template
      
      * Remove legacy code
      
      * Remove legacy code
      
      * selectedrows, test=develop
      
      * Remove DataType test
      
      * eager, test=develop
      
      * eager, test=develop
      
      * support gan, test=develop
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * refine code
      
      * ptb, test=develop
      
      * Rename all EagerTensor to Tensor
      
      * Rename some EagerTensor to Tensor
      
      * rename EagerTensor to EagerVariable
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * eager, test=develop
      
      * add more test
      
      * eager, test=develop
      
      * Support copiable selected rows and merge develop
      
      * save load, eager, test=develop
      
      * save load, eager, test=develop
      
      * refine, test=develop
      
      * remove useless _set_value method
      
      * refine, test=develop
      
      * refine, test=develop
      
      * revert static_runner, test=develop
      
      * EagerTensor to Tensor, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * clear grad, test=develop
      
      * merge, develop
      
      * merge, develop
      
      * merge, test=develop
      
      * merge, test=develop
      
      * Support quant and part of slice
      
      * support legacy static save
      
      * extend slim tests time
      
      * remove imperative on inference
      
      * remove imperative on inference
      
      * merge develop
      
      * fix typo
      
      * fix typo
      
      * split slice related code into 2 part for imperative and eager
      
      * split slice from inference
      
      * split slice from inference
      
      * fix test_tensor_register_hook
      Co-authored-by: NWang Huan <wanghuan29@baidu.com>
      Co-authored-by: NWeilong Wu <veyron_wu@163.com>
      Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>
      da47544c
  23. 01 3月, 2022 1 次提交
    • Z
      Fixed auto codegen for intermediate tensors (#39797) · 2592805b
      Zhanlue Yang 提交于
      * Refactored GradNodeAccumulation data structure and behaviour
      
      * Fixed CI issues
      
      * Fix compilation issues
      
      * Fixed minor issues
      
      * Reverted changes for intermediate and OverwriteOutput
      
      * fixed minor issue
      
      * Fixed auto codegen for intermediate tensors
      
      * Removed restriction on AccumulationNode modification
      
      * Fixed CI Coverage issues
      
      * Adjusted Log contents
      
      * Fixed CI issues
      2592805b
  24. 18 2月, 2022 1 次提交
  25. 09 2月, 2022 1 次提交
    • J
      Replace EagerTensor with Tensor (#39376) · 945a3ce9
      Jiabin Yang 提交于
      * merge legacy to fluid
      
      * Remove legacy code
      
      * Remove legacy code
      
      * Remove DataType test
      
      * Using Tensor directly instead of using EagerTensor
      
      * support gradient_accumulation
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      
      * make test_imperative_lod_tensor_to_selected_rows longer
      945a3ce9
  26. 17 1月, 2022 1 次提交
  27. 12 1月, 2022 1 次提交
  28. 30 12月, 2021 1 次提交
    • 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
  29. 14 12月, 2021 1 次提交
    • Z
      Handled Dispensable Inputs/Outputs in Eager AutoCodeGen (#37959) · f2043bd1
      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
      f2043bd1
  30. 27 11月, 2021 1 次提交