Paddle

Author	SHA1	Message	Date
wangyang59	48a6168c0d	following comments from qingqing01	8 years ago
wangyang59	b8afb14098	cudnn deconv implememtation	8 years ago
Yi Wang	e9549cbb78	Change "Baidu, Inc" into "PaddlePaddle Authors"	8 years ago
Luo Tao	80c68d38ff	clang format .cc .h .cpp .c and .hpp file	9 years ago
luotao1	e802471c58	abstract outputSize function in CNN-related layers (#314 )	9 years ago
qingqing01	45c81a414f	Add job=time in trainer, refine cudnn_conv to reduce gpu memory and speed up training. (#218 ) * 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.	9 years ago