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Update transformer.py #4

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13 changes: 6 additions & 7 deletions models/trans_utils/transformer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,19 +47,18 @@ def _reset_parameters(self):
def forward(self, src, mask, query_embed, pos_embed):
# flatten NxCxHxW to HWxNxC
bs, c, h, w = src.shape
src = src.flatten(2).permute(0, 2, 1)#(2, 0, 1)
pos_embed = pos_embed.flatten(2).permute(0, 2, 1)
# src = src.flatten(2).permute(0, 2, 1) #(2, 0, 1)
src = src.flatten(2).permute(2, 0, 1)
pos_embed = pos_embed.flatten(2).permute(2, 0, 1)
query_embed = query_embed.unsqueeze(1).repeat(bs, 1, 1)
mask = mask.flatten(1).permute(1,0)
#print('mask', mask.shape)
if mask is not None:
mask = mask.flatten(1)
tgt = torch.zeros_like(query_embed)

memory = self.encoder(src, src_key_padding_mask=mask, pos=None)
hs = memory # for fast　inference
#hs = self.decoder(tgt, memory, memory_key_padding_mask=mask,
# pos=pos_embed, query_pos=query_embed)
return hs.transpose(1, 2), memory.permute(0, 2, 1).view(bs, c, h, w)

return hs.transpose(1, 2), memory.permute(1, 2, 0).reshape(bs, c, h, w)

class TransformerEncoder(nn.Module):

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