ops.py
def conv_cond_concat(x, y):
  """Concatenate conditioning vector on feature map axis."""
  x_shapes = tf.shape(input=x)
  y_shapes = tf.shape(input=y)
  return concat([
    x, y*tf.ones([x_shapes[0], x_shapes[1], x_shapes[2], y_shapes[3]])], 3)
Concatenate conditioning vector on feature map axis.
Concatenate conditioning vector on feature map axis.
Concatenate conditioning vector on feature map axis .
def conv_cond_concat(x, y):
  x_shapes = tf.shape(input=x)
  y_shapes = tf.shape(input=y)
  return concat([
    x, y*tf.ones([x_shapes[0], x_shapes[1], x_shapes[2], y_shapes[3]])], 3)
def conv_cond_concat ( x , y ) : x_shapes = tf . shape ( input = x ) y_shapes = tf . shape ( input = y ) return concat ( [ x , y * tf . ones ( [ x_shapes [ 0 ] , x_shapes [ 1 ] , x_shapes [ 2 ] , y_shapes [ 3 ] ] ) ] , 3 )
Concatenate conditioning vector on feature map axis.
Concatenate conditioning vector on feature map axis .
"""Concatenate conditioning vector on feature map axis."""
x
y