Add LoadNode; Change add_node; #3
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Merge pull request #1 from Yelrose/develop
seemingwang
reviewed
Mar 15, 2021
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| int index = node->get_id() % shard_num % bucket_size; | ||
| int index = id % shard_num % bucket_size; | ||
| GraphNode *node = new GraphNode(id, std::string("")); |
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feature should be used as the second argument.
Yelrose
commented
Mar 15, 2021
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| int index = node->get_id() % shard_num % bucket_size; | ||
| int index = id % shard_num % bucket_size; | ||
| GraphNode *node = new GraphNode(id, feature); |
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already change into feature as second augments.
seemingwang
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Mar 15, 2021
seemingwang
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Sep 2, 2021
change prototxt path for testing
Liwb5
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Dec 6, 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 (seemingwang#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 (seemingwang#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 (seemingwang#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 (seemingwang#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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Feb 18, 2022
…ten::DenseTensor, test=allcases (PaddlePaddle#38473) * 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 * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor * Fixed issues with place * Added comments * Moved mutable_data with stream argument to DenseTensor * Added set_offset interface * Fixed CI issues,test=allcases * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes
seemingwang
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Feb 18, 2022
…t=allcases (PaddlePaddle#38632) * 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 * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor * Fixed issues with place * Added comments * Moved mutable_data with stream argument to DenseTensor * Added set_offset interface * Fixed CI issues,test=allcases * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor * Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor * Modified framework::Tensor to inherit from DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes * Rearranged cfunction calls from tensor.data<void>() to tensor.data() * Fixed CI issues * Fixed lite issues * Fixed data() interface issues,test=allcases * Resolved IsInitialized() issues * Fixed ResetHolder() issues * Fixed MKLDNN & Storage issues * Resolved ShareBufferWith() issues * Fixed LoD issues
seemingwang
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Feb 18, 2022
…st=allcases (PaddlePaddle#38811) * 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 * [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor * Fixed issues with place * Added comments * Moved mutable_data with stream argument to DenseTensor * Added set_offset interface * Fixed CI issues,test=allcases * [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor * Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor * Modified framework::Tensor to inherit from DenseTensor * Reverted changes too pten_layout() interface * Removed friend classes * Rearranged cfunction calls from tensor.data<void>() to tensor.data() * Fixed CI issues * Fixed lite issues * Fixed data() interface issues,test=allcases * Resolved IsInitialized() issues * Fixed ResetHolder() issues * Fixed MKLDNN & Storage issues * Resolved ShareBufferWith() issues * Fixed LoD issues * Removed interfaces & members from lod_tensor,test=allcases
seemingwang
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Feb 18, 2022
PaddlePaddle#39128) * Added selected_rows and rw_lock to pten * Renamed the unit test target to fix CI * Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid * Remove rw_lock.h,rw_lock_test.cc in fluid * Use pten::RWLock and pten::AutoRDLock, fix CI * Use pten::SelectedRows * Use pten::SelectedRows * Fix to pass NPU CI * Use pten::SelectedRows, to pass NPU CI * To fix NPU CI * To fix NPU CI again
seemingwang
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Apr 14, 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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