wehub-resource-sync
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# Copyright 2021 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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"""This is a Python API fuzzer for tf.raw_ops.Add."""
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import atheris
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with atheris.instrument_imports():
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import sys
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from python_fuzzing import FuzzingHelper
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import tensorflow as tf
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def TestOneInput(data):
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"""Test numeric randomized fuzzing input for tf.raw_ops.Add."""
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fh = FuzzingHelper(data)
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# tf.raw_ops.Add also takes tf.bfloat16, tf.half, tf.float32, tf.float64,
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# tf.uint8, tf.int8, tf.int16, tf.int32, tf.int64, tf.complex64,
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# tf.complex128, but get_random_numeric_tensor only generates tf.float16,
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# tf.float32, tf.float64, tf.int32, tf.int64
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input_tensor_x = fh.get_random_numeric_tensor()
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input_tensor_y = fh.get_random_numeric_tensor()
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try:
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_ = tf.raw_ops.Add(x=input_tensor_x, y=input_tensor_y)
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except (tf.errors.InvalidArgumentError, tf.errors.UnimplementedError):
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pass
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def main():
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atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
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atheris.Fuzz()
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if __name__ == "__main__":
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main()
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