CUDNN运行是有一定的要求的:'
Keras API里有这样的说法:
Based on available runtime hardware and constraints, this layer will choose different implementations (cuDNN-based or pure-TensorFlow) to maximize the performance. If a GPU is available and all the arguments to the layer meet the requirement of the CuDNN kernel (see below for details), the layer will use a fast cuDNN implementation.
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CUDNN运行是有一定的要求的:' Keras API[https://keras.io/api/layers/r...
(input, filter, strides, padding, use_cudnn_on_gpu=None, ...
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tf.nn.conv2d(input,filter,strides,padding,use_cudnn_on_gp...
tf.nn.conv2d(input, filter, strides, padding, use_cudnn_o...
tf.nn.conv2d(input, filter, strides, padding, use_cudnn_o...
tf.nn.conv2d(input, filter, strides, padding, use_cudnn_o...
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1.修改Makefile.config,放开USE_CUDNN:=1 ，注释掉 CPU_ONLY:=1 2:查看下...
本文标题：will not use cuDNN kernels since
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