Open cognitronz opened 8 years ago
I see this in the ops.py
def conv_cond_concat(x, y): """ concatenate conditioning vector on feature map axis """ return T.concatenate([x, y*T.ones((x.shape[0], y.shape[1], x.shape[2], x.shape[3]))], axis=1)
does it really mean y.shape[1], and not x.shape[1]?
I see this in the ops.py
def conv_cond_concat(x, y): """ concatenate conditioning vector on feature map axis """ return T.concatenate([x, y*T.ones((x.shape[0], y.shape[1], x.shape[2], x.shape[3]))], axis=1)does it really mean y.shape[1], and not x.shape[1]?