Created
February 5, 2021 23:44
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from itertools import repeat | |
import pdb | |
class PatchEmbed(nn.Module): | |
def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): | |
super().__init__() | |
img_size = tuple(repeat(img_size, 2)) | |
patch_size = tuple(repeat(patch_size, 2)) | |
num_patches = (img_size[1] // patch_size[1]) * (img_size[0] // patch_size[0]) | |
self.img_size = img_size | |
self.patch_size = patch_size | |
self.num_patches = num_patches | |
self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) | |
def forward(self, x): | |
B, C, H, W = x.shape | |
x = self.proj(x).flatten(2).transpose(1, 2) | |
return x |
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