def all(x, axis=None, keepdims=False):
 axis = _normalize_axis(axis, ndim(x))
 x = tf.cast(x, tf.bool)
 x = tf.reduce_all(x, reduction_indices=axis, keep_dims=keepdims)
 return tf.cast(x, tf.uint8)

def all ( x , axis = None , keepdims = False ) : axis = _normalize_axis ( axis , ndim ( x ) ) x = tf . cast ( x , tf . bool ) x = tf . reduce_all ( x , reduction_indices = axis , keep_dims = keepdims ) return tf . cast ( x , tf . uint8 )
return all registred migrations .