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tensorflow--tensorflow/tensorflow/security/fuzzing/acosh_fuzz.py
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Python

# Copyright 2021 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.
# ==============================================================================
"""This is a Python API fuzzer for tf.raw_ops.Acosh."""
import atheris
with atheris.instrument_imports():
import sys
from python_fuzzing import FuzzingHelper
import tensorflow as tf
def TestOneInput(data):
"""Test randomized fuzzing input for tf.raw_ops.Acosh."""
fh = FuzzingHelper(data)
# tf.raw_ops.Acos takes tf.bfloat16, tf.half, tf.float32, tf.float64,
# tf.complex64, tf.complex128, but get_random_numeric_tensor only generates
# tf.float16, tf.float32, tf.float64, tf.int32, tf.int64
dtype = fh.get_tf_dtype(allowed_set=[tf.float16, tf.float32, tf.float64])
input_tensor = fh.get_random_numeric_tensor(dtype=dtype)
_ = tf.raw_ops.Acosh(x=input_tensor)
def main():
atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
atheris.Fuzz()
if __name__ == "__main__":
main()