tensorflow / tensorflow/cloud

Docker error while running setup

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bug
Dominant language
Python
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Description

Hi, I have followed the "High level overview" steps on the readme to train the models on GCP. I have created both mnist_example.py and scale_mnist.py and followed all the setup instructions. However, when I run python scale_mnist.py, I encounter the following error:

docker.errors.DockerException: Error while fetching server API version: (2, 'CreateFile', 'El sistema no puede encontrar el archivo especificado.'), which translated into English says that it cannot find a file. I am using a Cloud Storage bucket in Europe-west1

My configuration:

  • Windows 10
  • Python 3.7.7
  • Tensorflow 2.3.0
  • Tensorflow Cloud 0.1.4

I have also tried on macOS Catalina with the same result.

Let me know if you need any further information. Thank you!

Contributor guide

Open the contributing guide

First steps

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  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
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Research direction

Start with the README's "High level overview" and the mnist_example.py and scale_mnist.py setup described in the report. Run python scale_mnist.py in the listed Windows and macOS environments while checking the Docker setup and the reported server API error. Done means identifying whether the setup instructions or environment requirements are responsible and documenting a reproducible resolution or limitation.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, gcp, python, tensorflow
Domain
cloud, devops
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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