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Running
on
Zero
| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # | |
| # This source code is licensed under the Apache License, Version 2.0 | |
| # found in the LICENSE file in the root directory of this source tree. | |
| import itertools | |
| import math | |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.functional as F | |
| _DINOV2_BASE_URL = "https://dl.fbaipublicfiles.com/dinov2" | |
| def _make_dinov2_model_name(arch_name: str, patch_size: int, num_register_tokens: int = 0) -> str: | |
| compact_arch_name = arch_name.replace("_", "")[:4] | |
| registers_suffix = f"_reg{num_register_tokens}" if num_register_tokens else "" | |
| return f"dinov2_{compact_arch_name}{patch_size}{registers_suffix}" | |
| class CenterPadding(nn.Module): | |
| def __init__(self, multiple): | |
| super().__init__() | |
| self.multiple = multiple | |
| def _get_pad(self, size): | |
| new_size = math.ceil(size / self.multiple) * self.multiple | |
| pad_size = new_size - size | |
| pad_size_left = pad_size // 2 | |
| pad_size_right = pad_size - pad_size_left | |
| return pad_size_left, pad_size_right | |
| def forward(self, x): | |
| pads = list(itertools.chain.from_iterable(self._get_pad(m) for m in x.shape[:1:-1])) | |
| output = F.pad(x, pads) | |
| return output | |