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Apply parts of pyupgrade to torch (starting with the safest changes). This PR only does two things: removes the need to inherit from object and removes unused future imports. Pull Request resolved: https://github.com/pytorch/pytorch/pull/94308 Approved by: https://github.com/ezyang, https://github.com/albanD |
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| .. | ||
| __init__.py | ||
| compute_histogram_for_blobs_test.py | ||
| compute_histogram_for_blobs.py | ||
| compute_norm_for_blobs_test.py | ||
| compute_norm_for_blobs.py | ||
| compute_statistics_for_blobs_test.py | ||
| compute_statistics_for_blobs.py | ||
| get_entry_from_blobs_test.py | ||
| get_entry_from_blobs.py | ||
| gradient_clipping_test.py | ||
| gradient_clipping.py | ||
| initializers_test.py | ||
| initializers.py | ||
| net_modifier.py | ||
| parameter_info.py | ||
| parameter_sharing_test.py | ||
| parameter_sharing.py | ||