- 17 5月, 2019 3 次提交
- 16 5月, 2019 2 次提交
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由 zhaoyuchen2018 提交于
* improve gru unit performance. refine code test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * Add conditional compile for gru opt Not enable gru opt if compute ability < 700 test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * refine code. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>
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由 Zeng Jinle 提交于
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- 15 5月, 2019 6 次提交
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由 mozga-intel 提交于
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由 Krzysztof Binias 提交于
test=develop
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由 baojun 提交于
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由 baojun 提交于
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由 mozga-intel 提交于
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由 lvmengsi 提交于
* double backward sqrt * refine unittest. test=develop * refine test. test=develop * remove alpha in unittest. test=develop
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- 14 5月, 2019 6 次提交
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由 lvmengsi 提交于
* test=develop, double backward reduce_mean * add comment. test=develop * fix format. test=develop * rename GradGrad -> DoubleGrad. test=develop * fix op_use_default_grad_op_maker.spec. test=develop
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由 jerrywgz 提交于
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由 Kaipeng Deng 提交于
* add elementwise_add_grad_grad op. test=develop * use defined GradMaker. test=develop
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由 jerrywgz 提交于
* add collect fpn proposals op,test=develop
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由 Kaipeng Deng 提交于
* add double grad for mul_op. test=develop * fix format. test=develop * fix format. test=develop * fix format. test=develop * refine code. test=develop * remove setzero. test=develop * fix dx/dy init bug. test=develop * fix format. test=develop
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由 liuwei1031 提交于
test=develop
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- 13 5月, 2019 4 次提交
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由 Yihua Xu 提交于
* Optimize the computing kernel of sequence_reverse operator. test=develop * Clean code test=develop * Fix for cpplint syntax checking. test=develop * Fix the compile warning issue. test=develop
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由 Yiqun Liu 提交于
* Optimize the elementwise op with CUDA kernels. test=develop * Support setting of attr in op config file. test=develop * Add the support the setting dtype and initializer in config. test=develop * Save workspace. * Add initializer "zeros". test=develop * Fix compiling error. * Support the use of existed file to initailize tensor in op_tester. * Use eigen to optimize the elementwise_add/mul for the case that x and y have the same dims. test=develop
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由 Kaipeng Deng 提交于
* add double grad for elementwise_mul. test=develop * remove comment. test=develop * fix grad sum. test=develop * fix for axis expand. test=develop * add test for axis expand. test=develop
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由 Kaipeng Deng 提交于
* add double grad for square. test=develop * formax code. test=develop * fix for grad sum. test=develop * refine shape. test=develop * refine extract. test=develop
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- 10 5月, 2019 4 次提交
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由 zhoukunsheng 提交于
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由 zhoukunsheng 提交于
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由 zhaoyuchen2018 提交于
refine code fuse cublas calling and kernels into one cuda kernel. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>
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由 qingqing01 提交于
* Add conv2d_grad_grad_op * Extracte the cuDNN conv algo searching code in conv_cudnn_helper.h. - Now use it in conv2d_grad_grad. - Will simply the searching code in conv2d and conv2d_grad in next PR. * Enhance and fix bug in unit testing of gradient_checker. * Support to fetch empty variables,return None in Python.
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- 09 5月, 2019 2 次提交
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由 Zeng Jinle 提交于
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由 zhoukunsheng 提交于
* test=develop add elementwise_mod and elementwise_floordiv, fix equation problem in elementwise_mod
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- 08 5月, 2019 8 次提交
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由 xiaoting 提交于
* modified formula for lrn test=develop * modified api.spec test=develop
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由 zhaoyuchen2018 提交于
* Refine elementwise kernel. Add a simple cuda kernel if grad x and y both exist Use 2D block cuda kernel to do broadcast. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * refine code. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * refine code. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>
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由 Yiqun Liu 提交于
* Optimize the cuda implementation of sum_op, which add two lod_tensors inplace. test=develop * Use eigen to add to tensors. test=develop
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由 chengduo 提交于
test=develop
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由 Hongyu Liu 提交于
* fix shape_check; test=develop * fix format; test=develop * fix format; test=develop * fix ddim bug; test=develop * fix c++ format; test=develop * change function name; test=develop
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由 whs 提交于
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由 baojun 提交于
* added lrn op test=develop * Added CreateConstant method test=develop * avoid duplicates test=develop
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由 gongweibao 提交于
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- 07 5月, 2019 5 次提交
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由 Zeng Jinle 提交于
* add use_cuda to inplace pass,test=develop * add test softmax_with_xe_inplace test,test=develop * fix potential inplace bug test=develop * add more skip vars in mem opt pass,test=develop * follow comment,test=develop * follow comments,move duplicate out arg check to program->graph,test=develop
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由 baojun 提交于
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由 Kaipeng Deng 提交于
* add attr axis infershape. test=develop * add CUDA kernel. test=develop * fix unittest. test=develop * fix unittest for soft_label. test=develop * fix fp16 unittest. test=develop * remove comment code. test=develop * refine test for axis. test=develop * add python api. test=develop * fix doc. test=develop * fix fp16 unittest. test=develop * fix ngraph test. test=develop * fix ENFORCE for test_imperative_transformer. test=develop * fit for ngraph test. test=develop * fix after rebase develop. test=develop * fix doc. test=develop * fix API.spec. test=develop * fix test_layers. test=develop * fix format. test=develop
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由 Zhen Wang 提交于
* Add MovingAverageAbsMaxScale operator which is only used for calculating the quantization scale. * test=develop * change the output into inplace. test=develop * Revert "test=develop" This reverts commit 696cf626. * Revert "change the output into inplace. test=develop" This reverts commit a19acd20. * test=develop. * update the MovingAverageAbsMaxScaleOp test. test=develop
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由 zhaoyuchen2018 提交于
* optimize sum op fuse multi eigen kernel calls into one cuda kernel. refine code test=develop. Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * Refine code. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * Refine code according to comments. test=develop * refine code delete sum_op_gpu.h test=develop * Fix test error. test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * refine code in format. test=develop. * refine code test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com> * refine code test=develop Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>
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