def testSplit(self):
x = array_ops.arange(9)
y = array_ops.split(x, 3)
self.assertListEqual([([0, 1, 2]), ([3, 4, 5]), ([6, 7, 8])], y)
x = array_ops.arange(8)
y = array_ops.split(x, [3, 5, 6, 10])
self.assertListEqual([([0, 1, 2]), ([3, 4]), ([5]), ([6, 7]), ([])], y)
def testARange(self):
int_values = np.arange(-3, 3).tolist()
float_values = np.arange(-3.5, 3.5).tolist()
all_values = int_values + float_values
for dtype in self.all_types:
for start in all_values:
msg = 'dtype:{} start:{}'.format(dtype, start)
self.match(array_ops.arange(start), np.arange(start), msg=msg)
self.match(
array_ops.arange(start, dtype=dtype),
np.arange(start, dtype=dtype),
msg=msg)
for stop in all_values:
msg = 'dtype:{} start:{} stop:{}'.format(dtype, start, stop)
self.match(
array_ops.arange(start, stop), np.arange(start, stop), msg=msg)
# TODO(srbs): Investigate and remove check.
# There are some bugs when start or stop is float and dtype is int.
if not isinstance(start, float) and not isinstance(stop, float):
self.match(
array_ops.arange(start, stop, dtype=dtype),
np.arange(start, stop, dtype=dtype),
msg=msg)
# Note: We intentionally do not test with float values for step
# because numpy.arange itself returns inconsistent results. e.g.
# np.arange(0.5, 3, step=0.5, dtype=int) returns
# array([0, 1, 2, 3, 4])
for step in int_values:
msg = 'dtype:{} start:{} stop:{} step:{}'.format(
dtype, start, stop, step)
if not step:
with self.assertRaises(ValueError):
self.match(
array_ops.arange(start, stop, step),
np.arange(start, stop, step),
msg=msg)
if not isinstance(start, float) and not isinstance(stop, float):
self.match(
array_ops.arange(start, stop, step, dtype=dtype),
np.arange(start, stop, step, dtype=dtype),
msg=msg)
else:
self.match(
array_ops.arange(start, stop, step),
np.arange(start, stop, step),
msg=msg)
if not isinstance(start, float) and not isinstance(stop, float):
self.match(
array_ops.arange(start, stop, step, dtype=dtype),
np.arange(start, stop, step, dtype=dtype),
msg=msg)
