This is for an update to the the SpatioTemporal Task View.
If you have any other suggestions, please leave a comment below - or raise an issue here: https://github.com/mdsumner/ctv-mdsumner/issues (or just email/tweet me).
(This is not the final presentation format).
| import torch | |
| import torch.nn as nn | |
| from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence | |
| seqs = ['gigantic_string','tiny_str','medium_str'] | |
| # make <pad> idx 0 | |
| vocab = ['<pad>'] + sorted(set(''.join(seqs))) | |
| # make model |
| import torch | |
| import torch.nn as nn | |
| import numpy as np | |
| import torch.optim as optim | |
| from torch.autograd import Variable | |
| # (1, 0) => target labels 0+2 | |
| # (0, 1) => target labels 1 | |
| # (1, 1) => target labels 3 | |
| train = [] |
| " initially i was using 3-space (shiftwidth=3) indentation with noexpandtab, and tabstop=8, the default | |
| " this switches it to proper 4-space indentation with expandtab | |
| " convert tabs to spaces | |
| set tabstop=8 | |
| set shiftwidth=3 | |
| set expandtab | |
| retab | |
| " convert spaces to tabs |
| i | |
| me | |
| my | |
| myself | |
| we | |
| our | |
| ours | |
| ourselves | |
| you | |
| your |
