(self, x)
| 155 | self.proj_drop = nn.Dropout(proj_drop) |
| 156 | |
| 157 | def forward(self, x): |
| 158 | B, N, C = x.shape |
| 159 | q = self.q(x[:,1:]).unsqueeze(1).reshape(B, N-1, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) |
| 160 | k = self.k(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) |
| 161 | |
| 162 | q = q * self.scale |
| 163 | v = self.v(x).reshape(B, N, self.num_heads, C // self.num_heads).permute(0, 2, 1, 3) |
| 164 | |
| 165 | attn = (q @ k.transpose(-2, -1)) |
| 166 | attn = attn.softmax(dim=-1) |
| 167 | attn = self.attn_drop(attn) |
| 168 | |
| 169 | x_cls = (attn @ v).transpose(1, 2).reshape(B, N-1, C) |
| 170 | x_cls = self.proj(x_cls) |
| 171 | x_cls = self.proj_drop(x_cls) |
| 172 | |
| 173 | return x_cls, attn |
| 174 | |
| 175 | class Patch_Block(nn.Module): |
| 176 | def __init__(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., |
nothing calls this directly
no outgoing calls
no test coverage detected