tensorflow / cloud

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.

Home Page:https://github.com/tensorflow/cloud

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Suggestion for easy patch to support custom wheel files

hubtub2 opened this issue · comments

Suggestion for easy patch to support custom wheel files.
Please move in containerize.py the line

lines.append("COPY {} {}".format(self.destination_dir, self.destination_dir))

up before the "pip install" block.
This way pip will see a custom wheel file that is lies next to the entry point and can be installed using a line in the requirements.txt file.

See stackoverflow question:
https://stackoverflow.com/questions/70249688/how-to-use-tensorflow-cloud-with-my-own-python-wheel