I am under the impression that TF only supports CUDA. From my research, the only way to get it to support OpenCL and AMD GPUs is to get a separate “adapter” module such as TF Coriander and suffer through the performance failure: From the GitHub: for the recurrent networks, Coriander is around 4 times slower … Read more
Found the solution: I reinstalled nvidia-381, CUDA-8.0 (using the runfile) and cuDNN 6.0. Then I added the following in my .bashrc:
In a tensorflow model you can define a placeholder such as x = tf.placeholder(tf.float32), then you will use x in your model. For example, I define a simple set of operations as: Now when I ask tensorflow to compute y, it’s clear that y depends on x. This will produce an error because I did … Read more
This should be possible with tensorflow_gpu-1.9.0. Linked below is a table which displays compatibilities of CUDA and cuDNN with varying versions of tensorflow.
I’m trying to implement a skip thought model using tensorflow and a current version is placed here. Currently I using one GPU of my machine (total 2 GPUs) and the GPU info is However, I got OOM when I’m trying to feed data to the model. I try to debug as follow: I use the … Read more
When I started to train some neural network, it met the CUDA_ERROR_OUT_OF_MEMORY but the training could go on without error. Because I wanted to use gpu memory as it really needs, so I set the gpu_options.allow_growth = True.The logs are as follows: And after using nvidia-smi command, it gets: After I commented the gpu_options.allow_growth = … Read more
I found the solution. And it was the good old advice – “Have you tried turning it off and on again?” I restarted the computer, Tensorflow found cudart64_90.dll, but now it could not find cudnn64_7.dll. I’m providing the steps ahead to get rid of the issues I encountered. If you’ve installed Tensorflow GPU version, you’re likely to run … Read more
Just type the command you want execute with the user permission, if you don’t want to change the permission:
This worked for me in ubuntu 18.0.4 Solution found from GitHub: ImportError: cannot import name ‘abs’ #20778.
fit() is for training the model with the given inputs (and corresponding training labels). evaluate() is for evaluating the already trained model using the validation (or test) data and the corresponding labels. Returns the loss value and metrics values for the model. predict() is for the actual prediction. It generates output predictions for the input … Read more