22 Commits (db157eda4583b1ea575cc7a0f8e3fed6d8264153)

Author	SHA1	Message	Date
hedaoyuan	b1bca06667	Refine the ExpandConvLayer.	8 years ago
hedaoyuan	3616ef7739	Remove ExpandConvBaseLayer.	8 years ago
hedaoyuan	2a110af309	Use Matrix::addBias.	8 years ago
hedaoyuan	168707cadd	Fix a small bug.	8 years ago
hedaoyuan	34a92ab41a	ExpandConvLayer adds support of arm-neon acceleration.	8 years ago
hedaoyuan	74f8ede976	Fix when use_nnpack and isDeconv == true.	8 years ago
xzl	1f516fa0ef	modify format, and modify the layer grad test, op test	8 years ago
xzl	81998868f0	fuse interface of depthwise to expandconv	8 years ago
hedaoyuan	47f1031fb7	Modify the type of alog parameter.	8 years ago
hedaoyuan	b5514602b6	Add the use_nnpack parameter in ExpandConvLayer, so that the convolution calculation can be switched to the NNPACK function.	8 years ago
hedaoyuan	784e21848f	Fix the error of group convolution.	8 years ago
hedaoyuan	7aac38c794	Refactoring the code implementation of exconv adn exconvt layer with GemmConvFunction.	8 years ago
Yu Yang	068bfbb817	All file pass pre-commit hook	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	af7a50c0d4	minor changes on deconv implementation and add protostr test for deconv layer	8 years ago
wangyang59	3d72e94939	rebase deconv implementation with develop branch and resolve conflicts with pull#218 commit 45c81a414f	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
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