51 lines
1.8 KiB
Python
51 lines
1.8 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.DataFormatVecPermute."""
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import sys
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import atheris_no_libfuzzer as atheris
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from python_fuzzing import FuzzingHelper
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import tensorflow as tf
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def TestOneInput(input_bytes):
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"""Test randomized integer fuzzing input for tf.raw_ops.DataFormatVecPermute."""
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fh = FuzzingHelper(input_bytes)
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dtype = fh.get_tf_dtype()
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# Max shape can be 8 in length and randomized from 0-8 without running into
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# a OOM error.
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shape = fh.get_int_list(min_length=0, max_length=8, min_int=0, max_int=8)
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seed = fh.get_int()
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try:
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x = tf.random.uniform(shape=shape, dtype=dtype, seed=seed)
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src_format_digits = str(fh.get_int(min_int=0, max_int=999999999))
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dest_format_digits = str(fh.get_int(min_int=0, max_int=999999999))
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_ = tf.raw_ops.DataFormatVecPermute(
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x,
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src_format=src_format_digits,
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dst_format=dest_format_digits,
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name=fh.get_string())
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except (tf.errors.InvalidArgumentError, ValueError, TypeError):
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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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