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…34922) * add device_context * add gtest for device_event_gpu * Remvoe duplicate DeviceType * push for test * add unittest * fix macros * fix MSVC using usage
* notest;test=gpu-inference * notest;test=gpu-inference * notest;test=gpu-inference * notest;test=gpu-inference * fix error * notest;test=gpu-inference * notest;test=gpu-inference * notest;test=gpu-inference * test=gpu-inference
* fix batch_norm and instance norm when input is []
…ut's shape is [0, 0, 0]. (#34996)
* add slim resnet50 quant model in pr-ci-inference * enable resnet50_quant multi_thread4_trt_int8_bz1 * remove LOG(FATAL)
* add npu sin op * [NPU] Support npu kernel for sin op * modify support npu kernel for sin op * modify support npu kernel for sin op * modify nou sin op * modify npu sin op * add sin op npu
* Add run function log * test=document_fix
* add (N,C,*) input support for GroupNorm * --amend
* [NPU] Support npu op where and where grad * fix use const_cast * delete a test
* add depthwise_conv2d npu * add some tests * Delete test_unique_op_npu.py * delete trans input
* add trainer desc config to distributed strategy * code style modified * data_feed set lod
* use spin lock in auto growth allocator, test=develop * use pthread spin lock, test=develop * use lock guard, test=develop * use malloc spin lock, test=develop * use lock_guard, test=develop
* [NPU] Support npu kernel for pad3d op * fix for comment of zhouwei25 * fix some bugs according to qili93's comments * add support and test for paddings in input * delete VLOG used for debug
* add rmsprop npu * add argsort npu * add argsort npu * modify according to review * modify sharedatawith according to review * modify reshape according to review * rm dygraph=false
* Add cuda device count api * update coda format * fix unittest error * update code format * update comment
* adamw support cuda * adamw support cuda
* Support getitem by Bool index * delete some debug info of bool index * support the case that the shape of bool index is different from indexed tensor
… the grad by dtype (#35070)
Refactor the organization of layer_norm cuda impl so that it can be reused in fused attention op.
Extract the layer_norm cuda impl form layer_norm_op.cu to layer_norm_kernel.cu.h.
Define fused/attention_layer_norm.h, which can be used in fused attention op in next PR.
* enable infer_ut on windows * remove lib calculation & time * unset http_proxy when download bos file on windows
* - disabled interpolate onednn * - compilation fix * - draft of batch_norm cache disabling * - fixes to UT
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Nov 23, 2021
* update fft api path (PaddlePaddle#36219) * update fft api path * add sample code for ihfft2 Co-authored-by: chenfeiyu <chenfeiyu@baidu.com> * fix fft axis (PaddlePaddle#36321) fix: `-1` is used when fft's axis is `0` * use unified external error message for cufft api (PaddlePaddle#36114) * fft: modify sample code result (PaddlePaddle#36325) * dynamic load mkl as a fft backend when it is avaialble and requested (PaddlePaddle#36414) * add rocm support for fft api (PaddlePaddle#36415) * move signal apis * move fft and signal API path (#2) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos in signal.py (#3) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * disable Cache when CUFFT_VERSION >= 10200 (#4) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * Add LRUCache for fft plans * add LRUCache for cuff and hipfft (#5) * move signal apis * move fft.py and signal.py to paddle/, fix typos * fix relative imports from fft.py and signal.py * fix typos * WIP: add cache * delete move constructor and operator= for CuFFTHandle and FFTConfig * remove log from CuFFTHandle and FFTConfig * add lrucache for fft rocm backend * disable LRUCache when CUFFT_VERSION >= 10200 * disbale copy and move for hipFFTHandle; format code Co-authored-by: Xiaoxu Chen <chenxx_id@163.com> * remove debug message of cufftHandler * roll_op: support Tensor as input for shifts (PaddlePaddle#36727) * fix fftshift/ifftshift on static mode * update roll_op version * add more test cases for fftshift/ifftshift Co-authored-by: zhiboniu <31800336+zhiboniu@users.noreply.github.com> Co-authored-by: chenfeiyu <chenfeiyu@baidu.com> Co-authored-by: LJQ❤️ <33169170+lijiaqi0612@users.noreply.github.com>
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Nov 30, 2021
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Jan 10, 2022
…addlePaddle#38275) * Replaced pten::LoD with paddle::framework::LoD * Overrided CPUVector with CUDAVector * Refactored paddle::framework::Vector
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Feb 11, 2022
…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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Mar 28, 2022
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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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