(keys, h, w)
| 29 | |
| 30 | |
| 31 | def data_from_keys(keys, h, w): |
| 32 | if keys is None: |
| 33 | data = torch.arange(h * w).reshape(1, h, w) |
| 34 | else: |
| 35 | data = {} |
| 36 | for i_k, k in enumerate(keys): |
| 37 | data[k] = torch.arange(h * w).reshape(1, h, w).mul_(i_k * h * w) |
| 38 | return data |
| 39 | |
| 40 | |
| 41 | class _RandXform(Randomizable): |
no outgoing calls
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