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Allow ZeroDivisionTest to run eagerly 

PiperOrigin-RevId: 316486715
Change-Id: I5a705b27562c57760ed8efeae52c67a91539ee7c
This commit is contained in:
Gaurav Jain 2020-06-15 09:57:28 -07:00 committed by TensorFlower Gardener
parent 05bec441e3
commit a208b5cd29
1 changed files with 5 additions and 6 deletions
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11
tensorflow/python/kernel_tests/zero_division_test.py
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@ -20,26 +20,25 @@ from __future__ import print_function
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors_impl
from tensorflow.python.framework import errors
from tensorflow.python.framework import test_util
from tensorflow.python.platform import test
class ZeroDivisionTest(test.TestCase):
@test_util.run_deprecated_v1
def testZeros(self):
with test_util.use_gpu():
for dtype in dtypes.uint8, dtypes.int16, dtypes.int32, dtypes.int64:
zero = constant_op.constant(0, dtype=dtype)
one = constant_op.constant(1, dtype=dtype)
bads = [one // zero]
bads = [lambda x, y: x // y]
if dtype in (dtypes.int32, dtypes.int64):
bads.append(one % zero)
bads.append(lambda x, y: x % y)
for bad in bads:
try:
result = self.evaluate(bad)
except errors_impl.OpError as e:
result = self.evaluate(bad(one, zero))
except (errors.OpError, errors.InvalidArgumentError) as e:
# Ideally, we'd get a nice exception. In theory, this should only
# happen on CPU, but 32 bit integer GPU division is actually on
# CPU due to a placer bug.