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[NO MERGE ] test commit for ipudevice #2
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yaozhixin
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…addlePaddle#38275) * Replaced pten::LoD with paddle::framework::LoD * Overrided CPUVector with CUDAVector * Refactored paddle::framework::Vector
gglin001
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…addlePaddle#39087) * Renamed selected_rows.* -> selected_rows_utils.* * Added selected_rows and rw_lock to pten * Removed useless header * Renamed the unit test target to fix CI * Use pten::framework::DDim * Set selceted_rows_test properties timeout * Polish code to pten style Co-authored-by: Chen Weihang <chenweihang@baidu.com>
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gglin001
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…rdFunctions and GradNodes (PaddlePaddle#40937) * [Refactor] refactored eager_gen.py PR #2 * [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes * Fixed minor issue
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…enerateForwardDefinition (PaddlePaddle#41016) * [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 * Fixed minor issue
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…Paddle#41051) * [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 * Fixed yaml typo
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…e#41121) * [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 * Fixed minor issue
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…sed to paddle.grad() (PaddlePaddle#41198) * [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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…efore backward run (PaddlePaddle#41306) * [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 PaddlePaddle#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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…atmul (PaddlePaddle#41387) * [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 PaddlePaddle#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 * [DoubleGrad PR PaddlePaddle#8] Enabled triple grads for sigmoid and matmul * Fixed issues with phi kernel * Added triple grad test case * Fixed minor issue
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