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allanj
/ iob1toiob2_funct.py
Last active
March 29, 2021 14:37
Convert the tags from IOB1 to IOB2 tagging scheme
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| """ | |
| IOB1: O I I B I | |
| IOB2: O B I B I | |
| """ | |
| from typing import List | |
| def iob2(tags: List[str]): | |
| """ | |
| Check that tags have a valid IOB format. |
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| #!/bin/bash | |
| # | |
| # script to extract ImageNet dataset | |
| # ILSVRC2012_img_train.tar (about 138 GB) | |
| # ILSVRC2012_img_val.tar (about 6.3 GB) | |
| # make sure ILSVRC2012_img_train.tar & ILSVRC2012_img_val.tar in your current directory | |
| # | |
| # https://github.com/facebook/fb.resnet.torch/blob/master/INSTALL.md | |
| # | |
| # train/ |
jihunchoi
/ masked_cross_entropy.py
Last active
January 22, 2024 19:20
PyTorch workaround for masking cross entropy loss
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| def _sequence_mask(sequence_length, max_len=None): | |
| if max_len is None: | |
| max_len = sequence_length.data.max() | |
| batch_size = sequence_length.size(0) | |
| seq_range = torch.range(0, max_len - 1).long() | |
| seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len) | |
| seq_range_expand = Variable(seq_range_expand) | |
| if sequence_length.is_cuda: | |
| seq_range_expand = seq_range_expand.cuda() | |
| seq_length_expand = (sequence_length.unsqueeze(1) |