Open XisnZhang opened 5 years ago
if rf == 1: # faster 1x1 conv c = tf.reshape(tf.matmul(tf.reshape(x, [-1, nx]), tf.reshape(w, [-1, nf])) + b, shape_list(x)[:-1] + [nf]) else: # was used to train LM c = tf.nn.conv1d(x, w, stride=1, padding=pad) + b
when training LM, rf = ? and why?
when training LM, rf = ? and why?