(self, in_chans=3, embed_dim=96, norm_layer=None)
| 738 | |
| 739 | class PatchEmbed(nn.Module): |
| 740 | def __init__(self, in_chans=3, embed_dim=96, norm_layer=None): |
| 741 | super().__init__() |
| 742 | |
| 743 | self.embed_dim = embed_dim |
| 744 | self.proj = nn.Sequential( |
| 745 | ConvBNLayer( |
| 746 | in_channels=in_chans, |
| 747 | out_channels=embed_dim // 2, |
| 748 | kernel_size=3, |
| 749 | stride=2, |
| 750 | padding=1, |
| 751 | act=nn.GELU, |
| 752 | bias_attr=False), |
| 753 | ConvBNLayer( |
| 754 | in_channels=embed_dim // 2, |
| 755 | out_channels=embed_dim, |
| 756 | kernel_size=3, |
| 757 | stride=2, |
| 758 | padding=1, |
| 759 | act=nn.GELU, |
| 760 | bias_attr=False) |
| 761 | ) |
| 762 | |
| 763 | def forward(self, x): |
| 764 | x = self.proj(x).permute(0, 2, 3, 1).contiguous() |
nothing calls this directly
no test coverage detected