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ASF subversion and git services commented on SINGA-100: ------------------------------------------------------- Commit 8ac511c70a43c9cb5db354643b186fd4205a7104 in incubator-singa's branch refs/heads/master from WANG Sheng [ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=8ac511c ] SINGA-100 Implement layers using CUDNN for GPU training check with cpplint > Implement layers using CUDNN for GPU training > --------------------------------------------- > > Key: SINGA-100 > URL: https://issues.apache.org/jira/browse/SINGA-100 > Project: Singa > Issue Type: New Feature > Reporter: wangwei > > NVIDIA has released the cudnn library optimized for CNN operations like > convolution, pooling, etc. It has achieved overall good performance. Hence, > it is essential to add cudnn supported layers in SINGA for efficient GPU > training (SINGA-41). > We will use the cudnn library to implement CNN layers, namely, > cudnnConvolutionLayer, cudnnPoolingLayer, cudnnLRNLayer, cudnnSoftmaxLayer, > cudnnReLULayer, cudnnSigmoidLayer, cudnnTanhLayer, cudnnDivNormLayer. > Data type float-16 will not be consider in this ticket. -- This message was sent by Atlassian JIRA (v6.3.4#6332)