66 lines
2.3 KiB
Python
66 lines
2.3 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.SparseCountSparseOutput."""
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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.SparseCountSparseOutput."""
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fh = FuzzingHelper(input_bytes)
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shape1 = fh.get_int_list(min_length=0, max_length=8, min_int=0, max_int=8)
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shape2 = fh.get_int_list(min_length=0, max_length=8, min_int=0, max_int=8)
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shape3 = fh.get_int_list(min_length=0, max_length=8, min_int=0, max_int=8)
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shape4 = 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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indices = tf.random.uniform(
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shape=shape1, minval=0, maxval=1000, dtype=tf.int64, seed=seed)
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values = tf.random.uniform(
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shape=shape2, minval=0, maxval=1000, dtype=tf.int64, seed=seed)
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dense_shape = tf.random.uniform(
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shape=shape3, minval=0, maxval=1000, dtype=tf.int64, seed=seed)
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weights = tf.random.uniform(
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shape=shape4, minval=0, maxval=1000, dtype=tf.int64, seed=seed)
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binary_output = fh.get_bool()
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minlength = fh.get_int()
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maxlength = fh.get_int()
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name = fh.get_string()
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try:
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_, _, _, = tf.raw_ops.SparseCountSparseOutput(
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indices=indices,
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values=values,
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dense_shape=dense_shape,
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weights=weights,
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binary_output=binary_output,
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minlength=minlength,
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maxlength=maxlength,
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name=name)
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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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