- 04 2月, 2023 1 次提交
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由 hjyp 提交于
* 优化 PartialProgramLayer hash逻辑 * 修复list弱引用问题 * 递归计算list列表的id * 处理str类型 * str类型直接返回hash后的值
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- 03 2月, 2023 17 次提交
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由 ronnywang 提交于
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由 RedContritio 提交于
* support negative index in unique_consecutive * add unittest * add unittest
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由 Sławomir Siwek 提交于
* replace matmul with matmul_v2 in fuse passes * Remove fusion logic from matmul * removing fusion methods * add proper name * adjust namespaces * clean attrs in python tests * delete checkpoint and restore matmul version * remove unused code * matmul and reshape/transpose fuses migrated * split MatmulOneDNN headers * fuse activation and eltwise_add * add fuse_activation * matmul_transpose_reshape/reshape_transpose_matmul * matmul + elementwise_add (fused) * activation temporary modifciation * merge newest develop * remove depedency from other PR * revert pbtxt * remove placeholders from matmul_v2 * add description in OPMaker * remove matmul_v2_op.h and all depedencies * remove dims changing in base op * add possibility to fuse already fused_matmul * restart broken CI * Empty-Commit * revert matmul_utils.h * codestyle * adjust imports * add pbtxt file * 100% matmul unit tests coverage * trigger CI with minimal changes to develop * adjust changes to develop * add fused_matmul op * inherit base ops * add "v2" * move OPMaker * Gradually add fused_matmul files * second batch of fused_matmul changes * split infershapes of matmul_v2 and fused_matmul * inherit fused_matmul from matmul_v2 * Update paddle/phi/backends/onednn/onednn_reuse.h Co-authored-by: NTomasz Socha <tomasz.socha@intel.com> * Update paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc Co-authored-by: NTomasz Socha <tomasz.socha@intel.com> --------- Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
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由 Paulina Gacek 提交于
* conv_bias_mkldnn_fuse_pass_tester rewritten * conv_concat_relu_mkldnn_fuse_pass_tester rewritten * conv_elementwise_add_fuse_pass_tester rewritten * mkldnn changed to onednn * tests added to cmakeLists, style fix * got rid of unnecessary UT, some style changes * changes in naming convention * max_examples reduced * time out added
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由 RedContritio 提交于
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由 RedContritio 提交于
* add input check for accuracyOp * add input check for gpu/accuracyOp * add unittest * use rank instead of dimensions in message * update unittest * update unittest
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由 Yuang Liu 提交于
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由 gouzil 提交于
* [Divide by 0 Error] add svd check * [Divide by 0 Error] svd check migrate to c++, move svd test_0_size
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由 gouzil 提交于
* [Divide by 0 Error] add normalize check * [Divide by 0 Error] normalize check migrate to c++
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由 shentanyue 提交于
* fix cross_entropy * update
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由 WangZhen 提交于
Add test_resnet for prim and CINN
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由 JYChen 提交于
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由 wangxiaoning 提交于
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由 xu98bin 提交于
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由 xiongkun 提交于
* [dy2static] support fallback for whole graph. (stage 1) * bug fix * bug fix and add a new unittest * fix code by code review * fix coverage
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由 wanghuancoder 提交于
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由 Jiabin Yang 提交于
* refactor dir for prim * support blacklist for bwd comp * fix type error * remove additional file * fix git ignore * add more test * merge develop
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- 02 2月, 2023 12 次提交
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由 wangzhen38 提交于
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由 Xiaoxu Chen 提交于
【PRIM】Support use operator's output metadata info in constructing static backward composite (#50043) * [prim] support custom target_gradients * support infershape after append one gradop * [prim] add simple net test * fix test_loop segment fault bug * [prim] fix infer shape segment fault bug when output of grad_op_desc is empty
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由 RedContritio 提交于
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由 LoneRanger 提交于
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由 LoneRanger 提交于
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由 RedContritio 提交于
* add stride check for PoolOutputSize * add unittest
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由 RedContritio 提交于
* add dimension check for nce * add unittest * fix incorrect type in test_nce
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由 Jianghai 提交于
* fix bugs in cluster to device meshes * add tests * 1
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由 RedContritio 提交于
* add input dimension check for max_unpool2d/max_unpool3d * add unittest
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由 Ccc 提交于
* paddle.nn.functional.softmax * paddle.nn.functional.log_softmax * paddle.nn.functional.gumbel_softmax * paddle.nn.functional.prelu
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由 wuhuachaocoding 提交于
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由 liuruyan 提交于
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- 01 2月, 2023 10 次提交
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由 zqw_1997 提交于
remove fluid.initializer.UniformInitializer, ConstantInitializer, NormalInitializer, TruncatedNormalInitializer, XavierInitializer, BilinearInitializer, MSRAInitializer, NumpyArrayInitializer and calculate_gain.. (#49498) * move UniformInitializer and ConstantInitializer * more modify * circular import resolved * another circular import resolved? * more circular import 2 * circular import 3 * change import paddle in metric.py * BuildStrategy import from fluid * modify the framework import path in common.py * change rnn.py import, from static to original framework * change import static in the nn folder * default_main_program should import from common_ops_import * add import paddle in param_attr.py * use core not paddle module for using VarDesc * another old uniform * mistake that use Uniform instead of UniformInitializer * modify UniformInitializer doc * move fluid.NormalInitializer to nn.initializer.NormalInitializer * remove import of Normal in fluid.layers.nn.py * remove more import of old Normal * remove more import of old Normal * sample code modify and tests modify import * is_listen_failed passing arg should be log file * problem solved * a mistake solved * comments resoleved and remove paddle.fluid.initializer.TruncatedNormalInitializer * remove paddle.fluid.initializer.XavierInitializer and paddle.fluid.initializer.MSRAInitializer * remove paddle.fluid.initializer.BilinearInitializer NumpyArrayInitializer and set_global_initializer * change fluid to static * change static to fluid to avoid circular import in distributed_strategy.py * fix example code and test_initializer * ValueType * sample code fix * change set_global_initializer back to fluid * put paddle.static.BuildStrategy.ReduceStrategy into the fuction to avoid circular import * remove calculate_gain, delete BilinearInitializer and revert set_global_initializer * change the time of using UniformInitializer, ConstantInitializer, NormalInitializer, TruncatedNormalInitializer, XavierInitializer, MSRAInitializer, NumpyArrayInitializer as few as possible * fix argument incampatible * fix more arg incompatible * fix test_prelu_op_xpu.py Constant * fix inaccurate doc * more doc fix: default value
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由 Yuang Liu 提交于
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由 RedContritio 提交于
* add range check for crop_kernel * remove shape negative check * add unittest
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由 RedContritio 提交于
* add shape check for fused_multi_head_attention * use raise for coverage test * add unittest * remove unnecessary pass * add unittest
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由 RedContritio 提交于
* add check for input of slice * add unittest
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由 RedContritio 提交于
* add stride check for MaxPool * add unittests
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由 Zhong Hui 提交于
* fix 0-d tensor for arg_min_max op. * fix xpu. * fix zero dims * fix * Update arg_min_max_kernel.cc * Update arg_min_max_kernel.cc * Update arg_min_max_kernel.cc * Update test_zero_dim_tensor.py * Update test_zero_dim_tensor_xpu.py * Update test_zero_dim_tensor.py * Update arg_min_max_kernel.cc * Update arg_min_max_kernel.cc * Update arg_min_max_kernel.cc
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由 PuQing 提交于
* fix numpyScaler2Tensor type error * fix to_tensor docs, test=document_fix
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由 Guanghua Yu 提交于
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由 张春乔 提交于
* fix the div 0 error of sparse_embedding * add unittest
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