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Merged
Shixiaowei02
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Shixiaowei02:feature/anakin-engine
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Mar 12, 2019
Merged
Feature/anakin engine #1
Shixiaowei02
merged 9 commits into
Shixiaowei02:feature/anakin-engine
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PaddlePaddle:feature/anakin-engine
Mar 12, 2019
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add density prior box op converter add detection out op converter
…le/paddle into anakin_support_facebox
* use anakin batch norm and scale implement fluid batch norm
add density_prior_box op converter add detection output op converter
…le/paddle into anakin_support_facebox
Anakin support facebox
add trt update for this branch
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* initial commit: simple demo * polish copyright format * add grap op simple demo * adapt uncertain number of argument * change trait marco name * add place & dtype support for add kernel * add dispath and infershape func * poish code & add notes * add dynamic_loader dep for paddle_framework * add new custom op test dir * polish impl details * add unittest for new custom op * fix failed unittest * Costum op (#1) * fix compile error * wrap framework tensor with LoDTensor * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * add CustomTensor default constructor * add size() for CustomTensor * make size const for CustomTensor * refactor place related api to circle the concept * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * make place const * make Tensor copy * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * remove additional head of framework * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * add gpu test * merge latest cwh code in * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * Remove ShareData from user && Change CustomTensor to Tensor && Support more data type (#2) * fix compile error * wrap framework tensor with LoDTensor * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * add CustomTensor default constructor * add size() for CustomTensor * make size const for CustomTensor * refactor place related api to circle the concept * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * make place const * make Tensor copy * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * remove additional head of framework * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * add gpu test * merge latest cwh code in * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * hid share data from and to * rename CustomTensor to Tensor * refactor register design & add test * change op_funtion to op_meta_info * split op meta info into .h and .cc * move get methods into friend class * move OpMetaInfoHelper into framework space * move CustomTensorUtils into framework space * change pybind api name * move PD C API into op meta info * add register custom op api * remove inference cmake change * refactor copy to api && change Reshape to lowercase && support more dtype && add more test (#3) * fix compile error * wrap framework tensor with LoDTensor * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * add CustomTensor default constructor * add size() for CustomTensor * make size const for CustomTensor * refactor place related api to circle the concept * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * make place const * make Tensor copy * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * remove additional head of framework * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * add gpu test * merge latest cwh code in * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * hid share data from and to * rename CustomTensor to Tensor * support multi dtype * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * fix copy to error * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * polish detail & error message * polish test details * Add cast api && Change copy related api to copy_to && add more test (#4) * fix compile error * wrap framework tensor with LoDTensor * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * add CustomTensor default constructor * add size() for CustomTensor * make size const for CustomTensor * refactor place related api to circle the concept * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * fix compile error * make place const * make Tensor copy * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * debug CustomTensor core * remove additional head of framework * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * use back to shared ptr for custom tensor * add gpu test * merge latest cwh code in * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * adjust ut code of custom op * hid share data from and to * rename CustomTensor to Tensor * support multi dtype * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * remove lod, make reshape lowercase, add copy test and refactor copy api * fix copy to error * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add more test * add type cast * add cast and make copy to api * add cast and make copy to api * add cast and make copy to api * add cast and make copy to api * merge cwh code * merge cwh code * merge cwh code * merge cwh code * merge cwh code * add more error log * add more error log * polish code * used for test * remove test comment * remove test comment * fix uint8 type error * fix lost uint8 type error * add test for coverage * polish details by reviewer comments * add prefix for DISABLE_COPY_AND_ASSIGN Co-authored-by: Jiabin Yang <360788950@qq.com>
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…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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…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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…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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…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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adds the base classes for analyses
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