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This PR add some primitives api related files. Those files are almost empty for the moment, but will be filled later.
When Graph has sub-graph, apply pass to it and all sub-graph. And add single test script .
* [NPU] add NPU ops&uts of compare, test=develop * testing * try style-format * [NPU] update compare_op_npu uts * [NPU] fix code sytle of test_compare_op_npu.py
This PR added optional boolean is_parameter and stop_gradient in the VarDesc proto, and remove them during save_inference_model
…e and sparse table name in config_fleet.py (#34441)
See #33949 for details
* trt buildEngineWithConfig is deprecated * add trt version control
* support ScaleTensor for scale npu kernel * add more tests for adam npu * fix compile * fix unittest * refine adam optimizer
* Support C++ import python on windows for paddle * Support C++ import python on windows for paddle
* Add build_strategy in @to_static to support open pass * fix os.environ * add timeout * disable test_build_strategy on openblas
* tile op * more uts * disable tile if trt6.0 * typo * fix timeout issue * opteller * opteller remove duplicate code * comments. test=document_fix * modify PADDLE_ENFORCE. * fix reduce_mean issue
* add input option in model.summary
* add persistent_workers. test=develop
As the title
* Add function to disable paddle signal handler Paddle used google::InstallFaultSignalHandler to handle selected system signals, mainly for debugging and bug report purposes. However, this can be conflicted with other python packages whoever captures similar signals. Such python package involves tvm and more To resolve this issue, we support a function to disable signal handler * Remove signal test from WIN32 platform * Remove redundant return from disable_signal_handler() function * Add detailed messages to en_doc
* fix ext_tensor.cast failed bug * remove useless deps * fix windows cmake failed * try to fix windows make failed * fix make error on windwos
…rator data, test=develop (#34463)
… fp16 param to the optimizer (#34965)
* test=develop * test=develop
* test=develop * test=develop
* code refactoring, test=develop * refine, test=develop * refine, test=develop * refine, test=develop
* fix pad outliers err * fix pad api input type and doc * fix example of pad * add unittest for pad3d * fix unittest * fix error format * fix pad doc
* Add NPU kernel for norm Op: float16 and float32 * fix code for code review * fix for code review * add type for paddle_throw * remove unnecessary head file.\nAdd more testcase * remove a broadcast
* [npu]add rmsprop op
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Sep 30, 2021
change CtrSparseTable to default sparse table
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Jan 10, 2022
…y::Allocation> for Storage (PaddlePaddle#38301) * 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
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* #1 migrate dist-related type()-> dtype() * move datatype function from pten -> fluid/framework * change type() in imperative into convert(dtype()) * modify xx_tensor->type into xx_tensor->dtype * change the set_type interface and the caller * modify xx_tensor.type into xx_tensor.dtype * fix mutable_data(place, dtype()) * change caller of mutable_data in pten and distributed * change the caller of mutable_data in fluid/framework * change the caller of mutable_data in imperative directory * mutable_data: inference * update the call of mutable_data * transfer MakePenScalarArray MakePtenScalar ResetHolderWithType * pass the compile. the next step is remove VarType in Pten * fix all and remove VarType from pten. success in linux. Next task is other platform * fix conflict with develop * fix compiled error * Fix reset conversion * fix conflict * fix compiled problem * fix typo * Fix << in tensor_utils.cc * fix type->dtype * fix unittest * fix tensor init constructor * fix DataTypeSize for BFloat16 * fix code style * fix npu compiled error * fix npu * compile npu sucessfully * fix conflict * fix conflict Co-authored-by: xiongkun <xiongkun03@baidu.com>
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Mar 29, 2022
…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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Mar 29, 2022
…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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Mar 31, 2022
…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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Apr 1, 2022
…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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Apr 11, 2022
…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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Apr 11, 2022
…rd 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 #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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Apr 11, 2022
…ePaddle#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 #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 #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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