(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
| 299 | """ |
| 300 | |
| 301 | def __init__(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None): |
| 302 | super().__init__() |
| 303 | patch_size = to_2tuple(patch_size) |
| 304 | self.patch_size = patch_size |
| 305 | |
| 306 | self.in_chans = in_chans |
| 307 | self.embed_dim = embed_dim |
| 308 | |
| 309 | self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) |
| 310 | if norm_layer is not None: |
| 311 | self.norm = norm_layer(embed_dim) |
| 312 | else: |
| 313 | self.norm = None |
| 314 | |
| 315 | def forward(self, x): |
| 316 | """Forward function.""" |