def mean(y, x, axis=DEFAULT, dtype=DEFAULT, keepdims=DEFAULT):
n = tangent.astype(tangent.array_size(x, axis), x)
d[x] = tangent.astype(
tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x) / n
def sum(y, x, axis=DEFAULT, dtype=DEFAULT, keepdims=DEFAULT):
d[x] = tangent.astype(
tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x)
def tunreduce(z, array, shape, axis, keepdims):
d[z] = tangent.unreduce(d[array], d[shape], axis, keepdims)
def mean(y, x, axis=None, dtype=None, keepdims=False):
n = tangent.astype(tangent.array_size(x, axis), x)
d[x] = tangent.astype(
tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x) / n
def sum(y, x, axis=None, dtype=None, keepdims=False):
d[x] = tangent.astype(
tangent.unreduce(d[y], numpy.shape(x), axis, keepdims), x)
def unbroadcast(y, array, shape):
d[array] = tangent.unreduce(d[y], numpy.shape(array), None, False)