11 Commits (b90780c3a8e0130dc41613c9582214ce331b7a35)

Author	SHA1	Message	Date
Yu Yang	2859532df0	Using override keyword in Layer	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	8 years ago
wangyang59	53e1629a43	Refactored imageSize in ConvBaseLayer to MathUtil	8 years ago
wangyang59	fb20187aaa	deconv layer implementation modification following luotao1 comments	8 years ago
wangyang59	5e4cc241ac	Revised deconv implementations according to luotao1	8 years ago
wangyang59	2575b74fee	refactored ExpandConvLayer and ExpandConvTransLayer with ConvBaseLayerCpu	8 years ago
wangyang59	aa2cd2ce8f	Refactor ExpandConvTransLayer to share codes with ExpandConvLayer	8 years ago
luotao1	e802471c58	abstract outputSize function in CNN-related layers (#314)	8 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.	8 years ago
zhangjinchao01	b72beee4f0	fix dash and space bug, ... ISSUE=4586495 git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1408 1ad973e4-5ce8-4261-8a94-b56d1f490c56	9 years ago