Allow passing a custom batch sampler to the trainer #3162
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alonme
commented
Jan 11, 2025
| @@ -77,21 +97,17 @@ def __init__( | |||
| dataset: Dataset, | |||
| batch_size: int, | |||
| drop_last: bool, | |||
| valid_label_columns: list[str] = None, | |||
| generator: torch.Generator = None, | |||
| seed: int = 0, | |||
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I believe there was an issue with the typing and usage of the seed parameter, given that 0 is falsy, it would be ignored if it was passed as a seed.
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resolves #3152
Also, I believe there was an issue with the typing and usage of the seed parameter, given that 0 is falsy, it would be ignored if it was passed as a seed.
Missing: