(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
| 463 | """ |
| 464 | |
| 465 | def __init__(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None): |
| 466 | super().__init__() |
| 467 | patch_size = to_2tuple(patch_size) |
| 468 | self.patch_size = patch_size |
| 469 | |
| 470 | self.in_chans = in_chans |
| 471 | self.embed_dim = embed_dim |
| 472 | |
| 473 | self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) |
| 474 | if norm_layer is not None: |
| 475 | self.norm = norm_layer(embed_dim) |
| 476 | else: |
| 477 | self.norm = None |
| 478 | |
| 479 | def forward(self, x): |
| 480 | """Forward function.""" |