Setting up Tensorflow and GPUs on Google Cloud Platform to run your neural network implementations


After my teammates and I had completed our implementation of CycleGANs for our Computer Vision class project, we needed GPUs to run the python script containing the tensorflow code. Since we had multiple datasets, we could not run the code using a single dataset on the Blue Waters quota allotted to us and wait for it to get done. We needed more GPUs!!! So, while my teammates were involved in running it on Blue Waters, I decided to give Google Cloud Platform a try. After going through multiple blogs and tutorials to set up GPUs and tensorflow on Google Cloud, I realized that none of them would give me all the details in one place and therefore, I was compelled to write this blog to provide a step by step procedure on how to set up GPUs and tensorflow on Google Cloud Platform from start to finish. So lets get right to it.

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