- 15 9月, 2022 1 次提交
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由 Jiabin Yang 提交于
* make eager log readable * fix compile error * recover test * invoke ci again
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- 07 8月, 2022 1 次提交
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由 Weilong Wu 提交于
* [Eager] just need to run needed nodes * [Eager] just need to run needed nodes
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- 29 7月, 2022 1 次提交
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由 Jiabin Yang 提交于
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- 28 7月, 2022 1 次提交
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由 Weilong Wu 提交于
* refactor general_grad and fix some bugs * add TODO: support prune logic deeper
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- 26 7月, 2022 1 次提交
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由 chenjian 提交于
* fix new dygraph record event for op * update unit test
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- 07 7月, 2022 1 次提交
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由 Jiabin Yang 提交于
* fix deriv with inplace * fix double grad bugs * remove additional file * fix compat dygraph mode * fix yaml remove additional yaml * fix slice double grad error and auto code gen logic error for higher order differentiate * fix fix_higher_order_deriv * remove additional include * fix fix_higher_order_deriv
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- 26 6月, 2022 1 次提交
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由 Sing_chan 提交于
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- 14 6月, 2022 1 次提交
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由 Jiabin Yang 提交于
* fix starganv2 * fix starganv2 stop_gradient end error * fix edvr_starganv2 * fix mul kernel to fix optional ddx * fix typo
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- 05 6月, 2022 1 次提交
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由 Sing_chan 提交于
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- 02 6月, 2022 1 次提交
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由 wanghuancoder 提交于
* first run accumulation node
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- 11 5月, 2022 1 次提交
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由 Jiabin Yang 提交于
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- 09 5月, 2022 1 次提交
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由 Chen Weihang 提交于
* polish grad details * polish detail by comment
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- 29 4月, 2022 2 次提交
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由 Weilong Wu 提交于
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由 Jiabin Yang 提交于
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- 26 4月, 2022 1 次提交
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由 Weilong Wu 提交于
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- 19 4月, 2022 1 次提交
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由 Zhanlue Yang 提交于
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- 14 4月, 2022 1 次提交
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由 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
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- 13 4月, 2022 2 次提交
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由 chenjian 提交于
* fix new dygraph record event * refine name * fix * fix * fix according to review
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由 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 * Fixed minor issues
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- 12 4月, 2022 1 次提交
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由 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
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- 09 4月, 2022 1 次提交
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由 Jiabin Yang 提交于
* fix_ci_problem3 * support windows no default error
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- 04 4月, 2022 2 次提交
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由 Aurelius84 提交于
* [Eager]Fix tile API final_state bug * fix backward bug
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由 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
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- 02 4月, 2022 1 次提交
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由 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
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- 25 3月, 2022 1 次提交
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由 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
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- 22 3月, 2022 1 次提交
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由 Jiabin Yang 提交于
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- 21 3月, 2022 1 次提交
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由 Weilong Wu 提交于
* Refactor partial_grad/backward logic * Add DuplicateCheck and polish code * Refactor partial_grad/backward more clearly * Refactor GeneralGrad by SingleInstance
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- 18 3月, 2022 1 次提交
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由 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
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- 17 3月, 2022 2 次提交
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由 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
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由 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
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- 15 3月, 2022 1 次提交
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由 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
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- 14 3月, 2022 1 次提交
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由 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>
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- 03 3月, 2022 1 次提交
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由 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>
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- 01 3月, 2022 1 次提交
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由 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
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- 18 2月, 2022 1 次提交
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由 Weilong Wu 提交于
* [Eager] Support GradientHook before running seperate GradNode * Fix CI issue * Fix CI issue
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- 09 2月, 2022 1 次提交
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由 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
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- 17 1月, 2022 1 次提交
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由 Jiabin Yang 提交于
* support test_auto_prune_partial * support rest of autoprune strategy in eager mode
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- 12 1月, 2022 1 次提交
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由 Jiabin Yang 提交于
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- 30 12月, 2021 1 次提交
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由 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>
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- 14 12月, 2021 1 次提交
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由 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
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