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45 lines
1.5 KiB
Python
45 lines
1.5 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.RaggedCountSparseOutput."""
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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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@atheris.instrument_func
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def TestOneInput(input_bytes):
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"""Test randomized integer/float fuzzing input for tf.raw_ops.RaggedCountSparseOutput."""
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fh = FuzzingHelper(input_bytes)
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splits = fh.get_int_list()
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values = fh.get_int_or_float_list()
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weights = fh.get_int_list()
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try:
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_, _, _, = tf.raw_ops.RaggedCountSparseOutput(
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splits=splits, values=values, weights=weights, binary_output=False)
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except tf.errors.InvalidArgumentError:
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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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