Add random_split to torch.utils.data.dataset #4435
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apaszke
reviewed
Jan 2, 2018
torch/utils/data/dataset.py
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| splits = [] | ||
| for i in range(len(lengths)): | ||
| offset = sum(lengths[:i + 1]) | ||
| splits.append(Subset(dataset, indices[offset - lengths[i]:offset])) |
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| def random_split(dataset, lengths): | ||
| """ | ||
| Randomply split a dataset into non-overlapping new datasets of given lengths | ||
| ds |
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apaszke
approved these changes
Jan 2, 2018
|
@pytorchbot add to whitelist |
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Originally requested in torchvision here
This is the implementation @apaszke provided (in a python 2 compatible way)