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raggedCountSparseOutput_fuzz.py
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raggedCountSparseOutput_fuzz.py
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# 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.RaggedCountSparseOutput."""
import atheris
with atheris.instrument_imports():
import sys
from python_fuzzing import FuzzingHelper
import tensorflow as tf
@atheris.instrument_func
def TestOneInput(input_bytes):
"""Test randomized integer/float fuzzing input for tf.raw_ops.RaggedCountSparseOutput."""
fh = FuzzingHelper(input_bytes)
splits = fh.get_int_list()
values = fh.get_int_or_float_list()
weights = fh.get_int_list()
try:
_, _, _, = tf.raw_ops.RaggedCountSparseOutput(
splits=splits, values=values, weights=weights, binary_output=False)
except tf.errors.InvalidArgumentError:
pass
def main():
atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
atheris.Fuzz()
if __name__ == "__main__":
main()