FS#66790 - [python-tensorflow-cuda] Can't interface with cudnn
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Community Packages
Opened by Andrew (thelongdivider) - Tuesday, 26 May 2020, 16:41 GMT
Last edited by freswa (frederik) - Wednesday, 27 May 2020, 00:43 GMT
Opened by Andrew (thelongdivider) - Tuesday, 26 May 2020, 16:41 GMT
Last edited by freswa (frederik) - Wednesday, 27 May 2020, 00:43 GMT
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Details
Description: If you run any model that contains either
convolutional or recurrent NNs, errors are raised:
Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR W tensorflow/core/framework/op_kernel.cc:1753] OP_REQUIRES failed at cudnn_rnn_ops.cc:1510 : Unknown: Fail to find the dnn implementation. Failed to find the dnn implementation Additional info: * package version(s) * config and/or log files etc. * link to upstream bug report, if any Steps to reproduce: model = Sequential() model.add(Embedding(maxFeatures, 32)) model.add(LSTM(32)) # model.add(SimpleRNN(32, return_sequences=True)) # model.add(SimpleRNN(32, return_sequences=True)) model.add(Dense(1, activation='sigmoid')) model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc']) history = model.fit(inputTrain, yTrain, epochs=10, batch_size=128, validation_split=.2) |
This task depends upon
You did not specify which version of 'python-tensorflow-cuda' you are using. Please give us more detail. Also, did you perhaps install 'tensorflow-gpu' through pip?