kd.train#
Train.
Symbols#
Class#
Wrapper around the losses, summaries and metrics. |
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Auxiliaries final values (after merge and compute). |
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Auxiliaries (intermediate states to be accumulated). |
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Namespace for retrieving information with path-based keys. |
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Writes summaries to logs, tf_summaries and datatables. |
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Info on one |
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Manager of rng streams. |
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Setup/environment options. |
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TqdmInfo(*, desc: ‘str’ = ‘train’, log_xm: ‘bool’ = True) |
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Data structure for checkpointing the model. |
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Base Training Step. |
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Base trainer class. |
Function#
Forward pass of the model. |
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Forward pass of the model, including losses. |