- 12 2月, 2018 1 次提交
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由 qingqing01 提交于
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- 02 11月, 2017 1 次提交
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由 武毅 提交于
* refine evaluator op types * update * follow comments * update * fix v2 mnist case * fix v2 mnist case * update * update * hack auc evaluator for dense vec * follow comments
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- 28 8月, 2017 1 次提交
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由 chengduoZH 提交于
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- 21 8月, 2017 1 次提交
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由 chengduoZH 提交于
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- 13 8月, 2017 1 次提交
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由 chengduoZH 提交于
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- 22 2月, 2017 1 次提交
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由 Liang Zhao 提交于
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- 09 2月, 2017 1 次提交
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由 xutianbing 提交于
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- 02 2月, 2017 1 次提交
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由 Haonan 提交于
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- 09 12月, 2016 1 次提交
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由 Yi Wang 提交于
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- 22 11月, 2016 1 次提交
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由 Luo Tao 提交于
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- 12 11月, 2016 1 次提交
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由 Haonan 提交于
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- 02 11月, 2016 1 次提交
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由 qingqing01 提交于
* Add benchmark for PaddlePaddle, tensorflow and caffe * ConvProjection to reduce memory for goolenet * Add unit test for ConvProjection. 1. unit test in test_LayerGrad. 2. compare the ConvPorjection and CudnnConvLayer, also compare the concat_layer+img_conv_layer and concat_layer_conv_projection. * Reduce cudnn_conv memory and add benchmark document. 1. Use TmpMatrix as the workspace in cudnn_conv to reduce gpu memory. It reduce lots of memory. 2. Add benchmark document. 3. fix smallnet_mnist_cifar.py in paddle. * Add job=time and refine cudnn_conv to reduce gpu memroy and speed up * Refine cudnn_conv and shared biases operation in concat_layer and mixed_layer. * follow comments * follow comments * Use unique_ptr to prevent memory leaks in CudnnConvLayer.
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- 29 8月, 2016 1 次提交
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由 zhangjinchao01 提交于
ISSUE=4586495 git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1408 1ad973e4-5ce8-4261-8a94-b56d1f490c56
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