77 lines
2.7 KiB
C++
77 lines
2.7 KiB
C++
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include <fuzzer/FuzzedDataProvider.h>
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#include <cstdint>
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#include <cstdlib>
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#include "absl/strings/match.h"
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#include "tensorflow/core/framework/attr_value.pb.h"
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#include "tensorflow/core/framework/attr_value_util.h"
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// This is a fuzzer for AreAttrValuesEqual and FastAreAttrValuesEqual.
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namespace {
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// A few helpers to construct AttrValue protos.
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template <typename T>
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tensorflow::AttrValue createAttrValue(T value) {
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tensorflow::AttrValue ret;
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SetAttrValue(value, &ret);
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return ret;
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}
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// A helper to do the comparison asserts.
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template <typename T>
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void compareValues(T value, T value_2) {
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const tensorflow::AttrValue proto = createAttrValue(value);
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const tensorflow::AttrValue proto_same = createAttrValue(value);
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const tensorflow::AttrValue proto2 = createAttrValue(value_2);
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// Assert that the Fast and Regular are true.
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assert(tensorflow::AreAttrValuesEqual(proto, proto_same));
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assert(tensorflow::FastAreAttrValuesEqual(proto, proto_same));
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// Assert that Fast and Regular for the random values.
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assert(tensorflow::AreAttrValuesEqual(proto, proto2) ==
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tensorflow::FastAreAttrValuesEqual(proto, proto2));
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}
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extern "C" int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
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FuzzedDataProvider fuzzed_data(data, size);
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// Choose random integers.
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const int random_int = fuzzed_data.ConsumeIntegralInRange(1, 100);
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const int random_int2 = fuzzed_data.ConsumeIntegralInRange(1, 1000);
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compareValues(random_int, random_int2);
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// Choose random floats.
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const float random_float =
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fuzzed_data.ConsumeFloatingPointInRange(1.0f, 1000.0f);
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const float random_float2 =
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fuzzed_data.ConsumeFloatingPointInRange(1.0f, 1000.0f);
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compareValues(random_float, random_float2);
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// Choose random strings.
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const int content_size = fuzzed_data.ConsumeIntegralInRange(10, 300);
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const std::string test_string =
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fuzzed_data.ConsumeRandomLengthString(content_size);
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const std::string test_string2 = fuzzed_data.ConsumeRemainingBytesAsString();
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compareValues(test_string, test_string2);
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return 0;
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}
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} // namespace
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