- 15 1月, 2021 8 次提交
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由 gongweibao 提交于
Fix compilcation on CANN20.1 and older
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由 hutuxian 提交于
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由 石晓伟 提交于
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由 Wojciech Uss 提交于
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由 WeiXin 提交于
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由 123malin 提交于
* test=develop, fix fleet.metrics(mse, rmse, mae)
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由 wawltor 提交于
* fix the rnn mask memory bug for out of read * update the code for the rnn
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由 tianshuo78520a 提交于
* clean dockerfile * clean dockerfile
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- 14 1月, 2021 11 次提交
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由 taixiurong 提交于
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由 ShenLiang 提交于
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由 Zhou Wei 提交于
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由 yaoxuefeng 提交于
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由 Shang Zhizhou 提交于
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由 Jiaqi Liu 提交于
* add auc into 'all' list * alias acc, expose to users * update sample code
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由 Chengmo 提交于
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>
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由 123malin 提交于
* test=develop, add distributed_infer
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由 Wilber 提交于
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由 Chen Weihang 提交于
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由 QingshuChen 提交于
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- 13 1月, 2021 17 次提交
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由 WeiXin 提交于
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由 Huihuang Zheng 提交于
As the title
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由 cc 提交于
* skip quantizing ops in cpu inference, test=develop
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由 Bai Yifan 提交于
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由 alncat 提交于
* added support for inference using qunatization aware trained dygraph * added support for inference using qunatization aware trained dygraph correct boost get usage * Delete incorrect warning message (#30196) * fix warning and no grad * clean redundant API alias in 2.0 - part 2 (#30013) * delete paddle.nn.functional.assign * fix dynamic to static error * just add the op error message for the matmul xpu (#30246) add the op error message for the matmul xpu * Add Static Variable Clone (#30208) Add clone method for static Variable so that this interface will be same as dygraph. It fixed some bugs in dy2stat * use wget to replace curl to download the lcov file (#30229) * use wget to replace curl to download the lcov file * add cache for lcov * fix test_pool3d_op timeout issue (#30248) * Fix unittests bugs. (#30250) * modify error message based on comments (#30189) * modify error message based on comments * edit code according to review. * Correct spelling according to review. * Fix bug for 'save mutiple method' (#30218) * Fix bug for 'save mutiple method' * To pass coverage. * edit code to pass coverage. * edit code to pass coverage. * add unittest for coverage. * change for coverage. * edit for coverage. * added support for inference using qunatization aware trained dygraph * Alias from paddle.fluid.layers.auc to paddle.static.auc (#30206) * add alias from fluid.layers.auc to static.auc * Update __init__.py * added support for inference using qunatization aware trained dygraph correct boost get usage * corrected boost get usage * corrected naming issues and enforcing zero check * correct paddle enforce message * added more error checkings * corrected error report message and optimized code * corrected findvar usage * corrected paddle_enforce in scope * correct error messages * correct error reporting format Co-authored-by: NLielinJiang <50691816+LielinJiang@users.noreply.github.com> Co-authored-by: NXiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com> Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com> Co-authored-by: NHuihuang Zheng <zhhsplendid@gmail.com> Co-authored-by: NYUNSHEN XIE <1084314248@qq.com> Co-authored-by: NBai Yifan <me@ethanbai.com> Co-authored-by: Ngongweibao <weibao.gong@gmail.com> Co-authored-by: NWeiXin <weixin10@baidu.com> Co-authored-by: NJiaqi Liu <liujiaqi06@baidu.com>
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由 GaoWei8 提交于
* softmax backward optimize
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由 huangxu96 提交于
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由 Zhou Wei 提交于
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由 Zhang Jun 提交于
* fix bug on compiling inference shared lib with crypto;test=develop * fix cmake bug when build inference lib using -DWITH_CRYPTO=OFF * update cmake * remove unnecessary enforce message
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由 Huihuang Zheng 提交于
usleep function in <unistd.h> only takes argument less than 1,000,000. Current call can exceed this limit, we have to fix it. This PR can fix random CI error.
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由 Huihuang Zheng 提交于
As the title
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由 Leo Chen 提交于
Set expected place in child thread for dataloader to avoid costing cuda memory on other card (#30338) * set expected place in child thread for dataloader * set device id when set tensor from numpy * revert tensor_py change * add compile guard * fix ci * fix bug
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由 QingshuChen 提交于
* optimize memcpy perf for kunlun * remove useless unitest for kunlun mean * minor
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由 cnn 提交于
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由 huangxu96 提交于
* Implemented AddQuantDequantPass in imperative quantization. * Supported LeakyReLU Quantization * For meeting coverage rate. * Changed the file name of test of AddQuantDequant * Implemented more Quantized NoWeightLayers. * Fix the loss cannot align problem between static and dynamic model quantization, add swish as supported quantized layer in imperative quantization. * remove noweight_list * support 2.0 API such as Pool2D and ReLu
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由 ShenLiang 提交于
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由 wuhuanzhou 提交于
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- 12 1月, 2021 4 次提交