Comments (6)
We haven't seen that one before - my guess would be that the version of tensorflow you are using is different from v1.15 GPU? https://www.tensorflow.org/install/pip. Not sure what else would cause it. Also, did you modify that file? Looks like the original version has rnn_cudnn.build at line 800.
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thanks a lot ! I was using the wrong CUDA
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Great, glad it's working now!
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@WYCAS can you tell, whats the correct CUDA is
Thank you
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When I try in Kaggle, I am getting this error Fail to find the dnn implementation.
https://www.kaggle.com/ajaysreeram/inference-test-gpu/
@fwillett can you please help me in finding if this is because of wrong cuda or something else.
(Here I am trying to synthetically generate a neural input for a given sentence and trying to get same sentence as output)
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It is working on using tensorflow 1.14, which is provided as default in that notebook kernel.
Thankyou
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Related Issues (8)
- Inclusion of requirements.txt
- Questions about the reference electrode position and timewarp figures HOT 2
- How to test RNNmodel?
- Warping function alignment
- what is the GPU memory size used in your experiment? HOT 1
- Could you share how to check the effect of single-character classification? HOT 1
- Where can I get Raw ECoG Data obtained after AFE?
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