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Create first version of Dockerfile #18
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The command python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))" returns tf.Tensor(582.03674, shape=(), dtype=float32) Doing
and on and on... Please @DelgadoPanadero / @chucheria check that works for you. To build it, do To run it, do |
Perfect. The only thing to change in the template is Thanks so much, it works perfect. |
Thinking about this, if we are going to have multiple requirements files, it is better to move to a new folder like:
or whatever we have. |
True!
With this I'm not so sure. I'll check what the best practices are. After all, it would be just two files ( Though we also have two different Dockerfiles... Yep, let me check what the best practices are. |
Great, thank you!! |
Closing this and moving to #23 |
Description
We need a Dockerfile. This way it'll be easier to do CI/CD workflows, train the models with AWS sagemaker and share our work to everybody.
Requirements
Nothing comes to mind right now.
Acceptance Criteria
python -c "import tensorflow as tf"
runs successfully.The text was updated successfully, but these errors were encountered: