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theoretical code： att = torch.softmax(torch.mul(mxpool, avgpool), 1) fusion = attt * avgpool + attt * mxpool
actual code : att = torch.softmax(torch.mul(mxpool, avgpool), 1) attt1 = att[:, 0, :, :].unsqueeze(1) attt2 = att[:, 1, :, :].unsqueeze(1) fusion = attt1 * avgpool + attt2 * mxpool
why？
The text was updated successfully, but these errors were encountered:
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theoretical code：
att = torch.softmax(torch.mul(mxpool, avgpool), 1)
fusion = attt * avgpool + attt * mxpool
actual code :
att = torch.softmax(torch.mul(mxpool, avgpool), 1)
attt1 = att[:, 0, :, :].unsqueeze(1)
attt2 = att[:, 1, :, :].unsqueeze(1)
fusion = attt1 * avgpool + attt2 * mxpool
why？
The text was updated successfully, but these errors were encountered: