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This PR adds a command line tool to test the functionality of the neural network training. I have included a README.md for its usage.

I wasn't really sure where to add it, I have created a seperate dir nn_training_cli, under the tiktorch/dev.

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codecov bot commented Jan 25, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 62.40%. Comparing base (15a0225) to head (2f61bce).

Additional details and impacted files
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##             main     #233   +/-   ##
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  Coverage   62.40%   62.40%           
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  Files          47       47           
  Lines        2878     2878           
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  Hits         1796     1796           
  Misses       1082     1082           

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thodkatz commented Feb 12, 2025

To test it on a gpu, change the device attribute of tiktorch/dev/nn_training_cli/pytorch3d_unet_config.yaml from device: cpu to device: cuda.

Related issue #234, regarding silicon compatibility.

@k-dominik
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k-dominik commented Feb 12, 2025

Cool! MPS currently is still lacking support for certain operations that prevent it from running in 3D (Def. MaxPool3D is still missing). 2D should work by setting device: mps I'll try :)

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2 participants