64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ==============================================================================
|
|
"""Tests which set DEBUG_SAVEALL and assert no garbage was created.
|
|
|
|
This flag seems to be sticky, so these tests have been isolated for now.
|
|
"""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
from tensorflow.python.eager import context
|
|
from tensorflow.python.framework import dtypes
|
|
from tensorflow.python.framework import test_util
|
|
from tensorflow.python.ops import resource_variable_ops
|
|
from tensorflow.python.ops import tensor_array_ops
|
|
from tensorflow.python.platform import test
|
|
|
|
|
|
class NoReferenceCycleTests(test_util.TensorFlowTestCase):
|
|
|
|
@test_util.assert_no_garbage_created
|
|
def testEagerResourceVariables(self):
|
|
with context.eager_mode():
|
|
resource_variable_ops.ResourceVariable(1.0, name="a")
|
|
|
|
@test_util.assert_no_garbage_created
|
|
def testTensorArrays(self):
|
|
with context.eager_mode():
|
|
ta = tensor_array_ops.TensorArray(
|
|
dtype=dtypes.float32,
|
|
tensor_array_name="foo",
|
|
size=3,
|
|
infer_shape=False)
|
|
|
|
w0 = ta.write(0, [[4.0, 5.0]])
|
|
w1 = w0.write(1, [[1.0]])
|
|
w2 = w1.write(2, -3.0)
|
|
|
|
r0 = w2.read(0)
|
|
r1 = w2.read(1)
|
|
r2 = w2.read(2)
|
|
|
|
d0, d1, d2 = self.evaluate([r0, r1, r2])
|
|
self.assertAllEqual([[4.0, 5.0]], d0)
|
|
self.assertAllEqual([[1.0]], d1)
|
|
self.assertAllEqual(-3.0, d2)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test.main()
|