Add a Python fuzzer for tf.raw_ops.DataFormatVecPermute.

PiperOrigin-RevId: 355696405
Change-Id: Ib2085ba019b5cc5f6a95428ee06ec1de72f2d718

tensorflow/security/fuzzing/BUILD

@@ -147,3 +147,10 @@ tf_py_fuzz_target(
     tags = ["notap"],  # Run in OSS only.
     deps = [":python_fuzzing"],
 )
+
+tf_py_fuzz_target(
+    name = "dataFormatVecPermute_fuzz",
+    srcs = ["dataFormatVecPermute_fuzz.py"],
+    tags = ["notap"],  # Run in OSS only.
+    deps = [":python_fuzzing"],
+)

tensorflow/security/fuzzing/dataFormatVecPermute_fuzz.py

@@ -0,0 +1,50 @@
+# 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.DataFormatVecPermute."""
+import sys
+import atheris_no_libfuzzer as atheris
+from python_fuzzing import FuzzingHelper
+import tensorflow as tf
+
+
+def TestOneInput(input_bytes):
+  """Test randomized integer fuzzing input for tf.raw_ops.DataFormatVecPermute."""
+  fh = FuzzingHelper(input_bytes)
+
+  dtype = fh.get_tf_dtype()
+  # Max shape can be 8 in length and randomized from 0-8 without running into
+  # a OOM error.
+  shape = fh.get_int_list(min_length=0, max_length=8, min_int=0, max_int=8)
+  seed = fh.get_int()
+  try:
+    x = tf.random.uniform(shape=shape, dtype=dtype, seed=seed)
+    src_format_digits = str(fh.get_int(min_int=0, max_int=999999999))
+    dest_format_digits = str(fh.get_int(min_int=0, max_int=999999999))
+    _ = tf.raw_ops.DataFormatVecPermute(
+        x,
+        src_format=src_format_digits,
+        dst_format=dest_format_digits,
+        name=fh.get_string())
+  except (tf.errors.InvalidArgumentError, ValueError, TypeError):
+    pass
+
+
+def main():
+  atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
+  atheris.Fuzz()
+
+
+if __name__ == '__main__':
+  main()