def maybe_move_axis_to_last(a, axis):
def move_axis_to_last(a, axis):
return array_ops.transpose(
a,
array_ops.concat([
math_ops.range(axis),
math_ops.range(axis + 1, array_ops.rank(a)), [axis]
],
axis=0))
return np_utils.cond(
axis == np_utils.subtract(array_ops.rank(a), 1), lambda: a,
lambda: move_axis_to_last(a, axis))
def f(a, b): # pylint: disable=missing-docstring
# We can't assign to captured variable `axisa`, so make a new variable
if axis is None:
axis_a = axisa
axis_b = axisb
axis_c = axisc
else:
axis_a = axis
axis_b = axis
axis_c = axis
if axis_a < 0:
axis_a = np_utils.add(axis_a, array_ops.rank(a))
if axis_b < 0:
axis_b = np_utils.add(axis_b, array_ops.rank(b))
def maybe_move_axis_to_last(a, axis):
def move_axis_to_last(a, axis):
return array_ops.transpose(
a,
array_ops.concat([
math_ops.range(axis),
math_ops.range(axis + 1, array_ops.rank(a)), [axis]
],
axis=0))
return np_utils.cond(
axis == np_utils.subtract(array_ops.rank(a), 1), lambda: a,
lambda: move_axis_to_last(a, axis))
a = maybe_move_axis_to_last(a, axis_a)
b = maybe_move_axis_to_last(b, axis_b)
a_dim = np_utils.getitem(array_ops.shape(a), -1)
b_dim = np_utils.getitem(array_ops.shape(b), -1)
def maybe_pad_0(a, size_of_last_dim):
def pad_0(a):
return array_ops.pad(
a,
array_ops.concat([
array_ops.zeros([array_ops.rank(a) - 1, 2],
dtypes.int32),
constant_op.constant([[0, 1]], dtypes.int32)
],
axis=0))
return np_utils.cond(math_ops.equal(size_of_last_dim, 2),
lambda: pad_0(a), lambda: a)
a = maybe_pad_0(a, a_dim)
b = maybe_pad_0(b, b_dim)
c = math_ops.cross(*np_utils.tf_broadcast(a, b))
if axis_c < 0:
axis_c = np_utils.add(axis_c, array_ops.rank(c))
def move_last_to_axis(a, axis):
r = array_ops.rank(a)
return array_ops.transpose(
a,
array_ops.concat([
math_ops.range(axis), [r - 1],
math_ops.range(axis, r - 1)
],
axis=0))
c = np_utils.cond(
(a_dim == 2) & (b_dim == 2),
lambda: c[..., 2],
lambda: np_utils.cond( # pylint: disable=g-long-lambda
axis_c == np_utils.subtract(array_ops.rank(c), 1), lambda: c,
lambda: move_last_to_axis(c, axis_c)))
return c
