- 04 3月, 2021 6 次提交
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由 Zhang Ting 提交于
* improve performance of depthwise_conv2d * add unittest
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由 wuhuanzhou 提交于
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由 liym27 提交于
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由 Huihuang Zheng 提交于
Fix wrong code comment
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由 Huihuang Zheng 提交于
Fix Read-Only Attribute as while_loop Output: Usually, our convert_while_loop will be like: ``` [a, b, c] = paddle.jit.dy2static.convert_while_loop( condition_name, body_name, [a, b, c]) ``` where a, b, c are in loop_var_names. However, if loop_var_names contains property such as foo.x, we cannot assign the attribute as output of convert_while_loop because Python property is a kind of read-only attribute. To handle the case, we replace the attributes which are output of convert_while_loop with generated variables, then if we know the attribute is not read-only at runtime, we assign the attribute. The created statements are like: ``` [a, b, __attribute_variable_1] = paddle.jit.dy2static.convert_while_loop( condition_name, body_name, [a, b, foo.x]) if not isinstance(getattr(type(foo), x, None), property): foo.x = __attribute_variable_1 ```
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由 jakpiase 提交于
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- 03 3月, 2021 11 次提交
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由 Qi Li 提交于
* [ROCM] update fluid elementwise op for rocm (part10), test=develop * update, test=develop * address review comments, test=develop
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由 Qi Li 提交于
* [ROCM] update fluid operators for rocm (part3), test=develop * fix clang format error, test=develop
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由 Qi Li 提交于
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由 Qi Li 提交于
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由 Pei Yang 提交于
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由 Qi Li 提交于
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由 Qi Li 提交于
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由 wuhuanzhou 提交于
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由 Zhou Wei 提交于
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由 Qi Li 提交于
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由 wangna11BD 提交于
* add attrs deformable_groups
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- 02 3月, 2021 13 次提交
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由 Shang Zhizhou 提交于
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由 YUNSHEN XIE 提交于
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由 Qi Li 提交于
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由 tangwei12 提交于
* fix sycn training error Change-Id: Ie2feebcf0b5b2984fd59cfcdde0c817840e203d2
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由 Qi Li 提交于
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由 Qi Li 提交于
* [ROCM] update fluid operators for rocm (part5), test=develop * address review comments, test=develop * fix typo, test=develop
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由 YUNSHEN XIE 提交于
* Decrease threshold for failed ut retry * retry Method upgrade * second method upgrade * fix error * Remove the comment lines * test for modified_retry_times * fix error * fix some error * fix error * fix error * remove test content * fix error * Reduce duplicate code * fix more than 10 ut failed bug * fix more than 10 ut failed bug on mac
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由 Pei Yang 提交于
* add n-d input support for trt scale converter * add flatten for ut * fix dims
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由 Shang Zhizhou 提交于
* support trt serialize when load model from memory * delete conv_bn_fuse_pass before tensorrt, with which trt serialize engine id is not stable * Revert "delete conv_bn_fuse_pass before tensorrt, with which trt serialize engine id is not stable" performance degradation, fix in the future This reverts commit fa6cd17e60b15df351efda379ddd00e9e9c1fea9. * add delete conv_bn * delete path when delete_cache_files
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由 chentianyu03 提交于
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由 Gradie 提交于
* lamb_op_xpu;test=kunlun * modify lamb_op_xpu.cc;test=kunlun * delete atol lamb_op_xpu; test=kunlun * update xpu.cmake;test=kunlun * test_error 1e-5,lamb_op_xpu;test=kunlun * error1e-5,lamb_op_xpu,test=kunlun * delete atol lamb_xpu;test=kunlun * modify atol,lamb_op_xpy;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu, XPUOptest;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu,modify xpu_cmake; test=kunlun * lamb_op_xpu;test=kunlun * lamb_op_xpu,modify xpucmake;test=kunlun
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由 danleifeng 提交于
* topo and memory performance for heterps; test=develop * add trainwithprofiler in heter trainier; test=develop
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由 Qi Li 提交于
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- 01 3月, 2021 10 次提交
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由 cucuzg 提交于
* add clip_by_norm on kunlun, *test=kunlun * opt matmul and matmul_v2 on kunlun, *test=kunlun
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由 Wilber 提交于
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由 wuhuanzhou 提交于
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由 石晓伟 提交于
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由 wuhuanzhou 提交于
* optimize unity build, test=develop * fix compilation error on Windows, test=develop * fix compilation error, test=develop * fix code style error, test=develop
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由 jiangcheng 提交于
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由 alncat 提交于
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由 Bin Lu 提交于
update RandomHorizontal Flip random description and examples
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由 Chen Weihang 提交于
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由 Chen Long 提交于
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