- 07 2月, 2022 1 次提交
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由 Chen Weihang 提交于
* refactor custom op kernel func and utils * add output sync * adapte tensor* in utils * fix windows symbol error
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- 04 2月, 2022 1 次提交
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由 zyfncg 提交于
* add data_transform in pten api * support GetKernelTypeForVar * fix complie problem of bfloat16 * change error namespace * add complex type transform unittest * fix merge conflict
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- 30 1月, 2022 5 次提交
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由 Xiaoxu Chen 提交于
* add multinomial probability distribution * fix categorical sample bug when logits less than zero * fix categorical sample can't pass hypothesis test and entropy shape error bug
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由 zhaocaibei123 提交于
* geo depends * add memory geo table * fix
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由 Chen Weihang 提交于
* change unary infermeta * change other infermeta * change all infermeta format * resolve conflit * fix test failed * resolve reshape conflit * fix compile failed * adapt auto api gen * fix reshape failed * fix concat failed * resolve conflict
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由 fwenguang 提交于
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由 Leo Chen 提交于
* upgrade _get_all_register_op_kernels * add ut * support xpu/npu * fix device id * enhance TransToFluidPlace * fix compile
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- 29 1月, 2022 6 次提交
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由 ronnywang 提交于
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由 Tongxin Bai 提交于
* [autograd] static Jacobian pass tests. * [autograd] apply CR suggested changes. * [autograd] more tests. * [autograd] add CPUPlace in tests. * [autograd] bug fixes. * [autograd] reformatted. * [autograd] adding Hessian, in progress. * [autograd] Hessian passes. A double grad bug fixed. * [autograd] fix renaming conflict in double backward pass. * [autograd] polish test.s * fix a bug when using brackets * debug for ci * [autograd] fixing Hessian test. * polish format. Co-authored-by: Nlevi131 <83750468+levi131@users.noreply.github.com> Co-authored-by: Nlevi131 <limaolin01@baidu.com>
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由 Guanghua Yu 提交于
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由 JZ-LIANG 提交于
* support qkv fuse * support qkv fuse * update completion * update completion * update dist_split * rerun ci * is_auto_compatible added * is_auto_compatible added
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由 QingshuChen 提交于
* fix kunlun2 softmax unitest bug *test=kunlun * minor
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由 hlygit66666 提交于
* add fuse_relu_depthwise_conv_pass unittest * fix atol and rtol * fix according to review * Update test_dist_fuse_relu_depthwise_conv_pass.py
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- 28 1月, 2022 7 次提交
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由 Zhanlue Yang 提交于
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由 zhangkaihuo 提交于
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由 Roc 提交于
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由 Fan Zhang 提交于
* [PSLIB] Add Metrics Module, Support User-defined Add Metric * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI Coverage * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI * [PSLIB] Modify According to CI Coverage * [PSLIB] Modify According to CI Coverage * [PSLIB] Modify According to CI Coverage * modify role_maker * update CMakeLists.txt
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由 Baibaifan 提交于
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由 zyfncg 提交于
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由 Weilong Wu 提交于
* implement AllocateFrom * fix PR-CI-Coverage timeout in 120s Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>
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- 27 1月, 2022 13 次提交
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由 Siming Dai 提交于
* add the test case for the UVA * add the context load for the uva * Add graph_sample kernel * Add graph_sample commit * add new commit for graph_sample * add unsigned long long int * delete some remarks * add cpu version * add cuda eids * add cpu eids * delete _uva * optimize speed: emplace_back, last_layer * add to_uva_tensor * add cpu return_eids choice * add gpu return_eids choice * add cpu reindex_nodes * add gpu reindex_nodes * rename op and add OMP for cpu * add incubate api * fix the compile problem for the PADDLE_ENFORE and different device * fix the rcom and windows compile problem * add unittest for graph_sample_neighbors * fix cpu unittest and unique problem * fix uva unittest, fix cuda unique problem * fix the windows compile problem * fix the windows rand_r compile problem * add correct unittest, add src_eids dispensable * delete black * combine uva unittest * mv Sample_index to Sample_Index; check input shape; fix random sample func * delete memset & cudaMemset * fix according to PR comments * fix rocm ci * modify function names according to the specification * fix windows_openblas ci * refine annotations, fix windows unittest, add default value for uva device_id, fix bug for input nodes with empty neighbors * fix rocm ci * rename graph_sample_neighbors as graph_khop_sampler, add incubate api doc * add data type * fix conflict Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>
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由 Aurelius84 提交于
* Support allocate_from in Tensor and allocate_data in Context * fix #ifdef CUDA * fix cycle depends * fix test_xxx_dev_api failed * fix windows compiling error * fix unittest * modify into PImpl * fix selected rows * add TODO comment * refine interface according reviewer
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由 Aganlengzi 提交于
* [Demo] custom kernel based on pten kernel * merge and npu custom work well * del comments * delete other code * fix CUDAContext * fix not found small_vector.h * support NPU * fix NPUContext * fix DeviceContext support * add UT * fix call * add UT * fix * fix for comments and ut * add MACRO control * fix multi input output * support env CUSTOM_DEVICE_ROOT * deal with special cases * fix for Windows * try coverage with test_custom_kernel_dot.py * fix test_custom_kernel_dot * fix test_custom_kernel_dot * fix merge * fix merge * fix CI * update * merge and fix * remove WITH_CUSTOM_KERNEL * fix merge * merge and fix * fix ut * fix ut for mac * add more UT * add more UT * fix
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由 zhouweiwei2014 提交于
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由 joanna.wozna.intel 提交于
* Upadate pass in quant2_int8_mkldnn_pass * Back to the previous scale_matmul order * Change place of cpu_quantize_placement_pass
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由 wenbin 提交于
* shuffle channel pass * add ut * timeout fix * makefile fix
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由 caozhou 提交于
* update planner * update unitest * update dist matmul * update auto converter
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由 QingshuChen 提交于
* optimize kunlun/xpu softmax_with_cross_entropy add add unitest *test=kunlun * minor *test=kunlun * minor *test=kunlun * minor *test=kunlun * minor *test=kunlun
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由 zhangkaihuo 提交于
* fix bug: 1. atten: set the default value of attn_dropout_rate to None 2. ffn: add activation parameter * for pure fp16 * Add a SparseCsrTensor * remove unused functional * remove const * remove SetMemoberTensor * remove non_zero_nums_, the number of non zero elements of each batch can be obtained from the crows * SparseCooTensor * add SetMember * merge upstream; add SetMember * merge upstream * merge upstream; add newline at end of file * add newline at end of file * remove newline at end of file * remove newline at end of file * stash * user pten::framework::make_ddim * user pten::framework::make_ddim * merge upstream; use the latest mutable_data * merge upstream; use the latest mutable_data * return mutable dense tensor
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由 caozhou 提交于
* update dist param grad for pass * update unitest * update unitests * fix conflict
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由 Wangzheee 提交于
* Paddle-Inference:fix_concat_slice * Paddle-Inference:fix_concat_slice * Paddle-Inference:fix_concat_slice * Paddle-Inference:fix_concat_slice * [Paddle-Inference]: fix concat slice * [Paddle-Inference]: fix concat slice * [Paddle-Inference]: fix concat slice
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由 huangxu96 提交于
Support the cases that the indices shape size is larger than the arr shape size
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由 zhangbo9674 提交于
* add master weight for opt state_dict * check empty of master weight * strict gpu test * refine unittest
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- 26 1月, 2022 7 次提交
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由 hlygit66666 提交于
* add fuse_relu_depthwise_conv_pass unittest * fix atol and rtol * fix according to review * add FuseBatchNormAddActPass and unittest * Update test_dist_fuse_bn_add_act_pass.py * solve conflict
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由 Weilong Wu 提交于
* 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 * Selected_Rows inherits from TensorBase * Use pten::SelectedRows, to pass NPU CI * To fix NPU CI * To fix NPU CI again * Use paddle/pten/core/enforce and polish code * Support imperative selected_rows_to_lod_tensor * Polish code
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由 qipengh 提交于
* [MLU]Add conv2d op * [MLU]fix comment * [MLU]adapt NCHW of conv2d op
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由 yaozhixin 提交于
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由 yaozhixin 提交于
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由 zyfncg 提交于
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由 Li Min 提交于
* Optimize layer_norm fwd when cols is 1024.
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