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watch_torch_model: only first training instance visible #3
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Yes, this is on purpose. It detects the very first input used and uses this for further debug layer extraction. It wouldn't make much sense to use for every debug extraction a different input as you could not easily compare with previous debug state. However, you can change the input easily, see the documentation. https://deepkit.ai/documentation/python-sdk/model-debugger see "Custom input to visualize" |
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watch_torch_model()
does not work entirely. For all images, I somehow only see the very first training instance the model encountered, though the distributions and also some stuff in the weights still seem to get updated.Setup:
pytorch/pytorch:1.4-cuda10.1-cudnn7-runtime
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