41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests VLOG printing in TensorFlow."""
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# Must set the VLOG environment variables before importing TensorFlow.
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import os
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os.environ["TF_CPP_MAX_VLOG_LEVEL"] = "5"
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "0"
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# pylint: disable=g-import-not-at-top
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from tensorflow.python.ops import nn_ops
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from tensorflow.python.ops import random_ops
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from tensorflow.python.platform import test
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class VlogTest(test.TestCase):
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# Runs a simple conv graph to check if VLOG crashes.
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def test_simple_conv(self):
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height, width = 7, 9
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images = random_ops.random_uniform((5, height, width, 3))
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w = random_ops.random_normal([5, 5, 3, 32], mean=0, stddev=1)
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nn_ops.conv2d(images, w, strides=[1, 1, 1, 1], padding="SAME")
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if __name__ == "__main__":
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test.main()
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