modelzoo.common.pytorch.utils#
General purpose Pytorch Utilities
Functions
Gather checkpoints in a model directory |
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Check if the run is configured with muP hyperparameter settings |
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Configure default logging format |
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Move tensor from device to cpu |
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If the provided value is a Python int or float, it converts them into PyTorch Tensors of type int32 and float32 respectively. |
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Recursively traverse nested structure and return the items accepted by the selector. |
Classes
Dataset shuffled from the original dataset. |
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This sampler can be used with a multi-worker distributed dataloader. |
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Validate Run Configs |
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Iterator which returns multiple samples of a given input data. |