tensorflow/lite/util_test.cc

/* Copyright 2017 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.
==============================================================================*/

#include "tensorflow/lite/util.h"

#include <stddef.h>
#include <stdlib.h>

#include <algorithm>
#include <string>
#include <vector>

#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include "tensorflow/lite/core/c/c_api_types.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/test_util.h"
#include "tensorflow/lite/schema/schema_generated.h"

namespace tflite {
namespace {

using testing::ElementsAreArray;

TEST(ConvertVectorToTfLiteIntArray, TestWithVector) {
  std::vector<int> input = {1, 2};
  TfLiteIntArray* output = ConvertVectorToTfLiteIntArray(input);
  ASSERT_NE(output, nullptr);
  EXPECT_EQ(output->size, 2);
  EXPECT_EQ(output->data[0], 1);
  EXPECT_EQ(output->data[1], 2);
  TfLiteIntArrayFree(output);
}

TEST(ConvertVectorToTfLiteIntArray, TestWithEmptyVector) {
  std::vector<int> input;
  TfLiteIntArray* output = ConvertVectorToTfLiteIntArray(input);
  ASSERT_NE(output, nullptr);
  EXPECT_EQ(output->size, 0);
  TfLiteIntArrayFree(output);
}

TEST(UtilTest, IsFlexOp) {
  EXPECT_TRUE(IsFlexOp("Flex"));
  EXPECT_TRUE(IsFlexOp("FlexOp"));
  EXPECT_FALSE(IsFlexOp("flex"));
  EXPECT_FALSE(IsFlexOp("Fle"));
  EXPECT_FALSE(IsFlexOp("OpFlex"));
  EXPECT_FALSE(IsFlexOp(nullptr));
  EXPECT_FALSE(IsFlexOp(""));
}

TEST(EqualArrayAndTfLiteIntArray, TestWithTFLiteArrayEmpty) {
  int input[] = {1, 2, 3, 4};
  EXPECT_FALSE(EqualArrayAndTfLiteIntArray(nullptr, 4, input));
}

TEST(EqualArrayAndTfLiteIntArray, TestWithTFLiteArrayWrongSize) {
  int input[] = {1, 2, 3, 4};
  TfLiteIntArray* output = ConvertArrayToTfLiteIntArray(4, input);
  EXPECT_FALSE(EqualArrayAndTfLiteIntArray(output, 3, input));
  free(output);
}

TEST(EqualArrayAndTfLiteIntArray, TestMismatch) {
  int input[] = {1, 2, 3, 4};
  TfLiteIntArray* output = ConvertVectorToTfLiteIntArray({1, 2, 2, 4});
  EXPECT_FALSE(EqualArrayAndTfLiteIntArray(output, 4, input));
  free(output);
}

TEST(EqualArrayAndTfLiteIntArray, TestMatch) {
  int input[] = {1, 2, 3, 4};
  TfLiteIntArray* output = ConvertArrayToTfLiteIntArray(4, input);
  EXPECT_TRUE(EqualArrayAndTfLiteIntArray(output, 4, input));
  free(output);
}

TEST(CombineHashes, TestHashOutputsEquals) {
  size_t output1 = CombineHashes({1, 2, 3, 4});
  size_t output2 = CombineHashes({1, 2, 3, 4});
  EXPECT_EQ(output1, output2);
}

TEST(CombineHashes, TestHashOutputsDifferent) {
  size_t output1 = CombineHashes({1, 2, 3, 4});
  size_t output2 = CombineHashes({1, 2, 2, 4});
  EXPECT_NE(output1, output2);
}

TEST(GetOpNameByRegistration, ValidBuiltinCode) {
  TfLiteRegistration registration{};
  registration.builtin_code = tflite::BuiltinOperator_ADD;
  const auto op_name = GetOpNameByRegistration(registration);
  EXPECT_EQ("ADD", op_name);
}

TEST(GetOpNameByRegistration, InvalidBuiltinCode) {
  TfLiteRegistration registration{};
  registration.builtin_code = -1;
  const auto op_name = GetOpNameByRegistration(registration);
  EXPECT_EQ("", op_name);
}

TEST(GetOpNameByRegistration, CustomName) {
  TfLiteRegistration registration{};
  registration.builtin_code = tflite::BuiltinOperator_CUSTOM;
  registration.custom_name = "TestOp";
  auto op_name = GetOpNameByRegistration(registration);
  EXPECT_EQ("CUSTOM TestOp", op_name);

  registration.builtin_code = tflite::BuiltinOperator_DELEGATE;
  registration.custom_name = "TestDelegate";
  op_name = GetOpNameByRegistration(registration);
  EXPECT_EQ("DELEGATE TestDelegate", op_name);
}

TEST(ValidationSubgraph, NameIsDetected) {
  EXPECT_FALSE(IsValidationSubgraph(nullptr));
  EXPECT_FALSE(IsValidationSubgraph(""));
  EXPECT_FALSE(IsValidationSubgraph("a name"));
  EXPECT_FALSE(IsValidationSubgraph("VALIDATIONfoo"));
  EXPECT_TRUE(IsValidationSubgraph("VALIDATION:"));
  EXPECT_TRUE(IsValidationSubgraph("VALIDATION:main"));
}

TEST(MultiplyAndCheckOverflow, Validate) {
  size_t res = 0;
  EXPECT_TRUE(MultiplyAndCheckOverflow(1, 2, &res) == kTfLiteOk);
  EXPECT_FALSE(MultiplyAndCheckOverflow(static_cast<size_t>(123456789023),
                                        1223423425, &res) == kTfLiteOk);
}

TEST(FourBitTest, BytesRequiredEven) {
  TfLiteContext context;

  int dims[] = {2, 3, 1, 5};
  const int* dims_ptr = &dims[0];
  size_t dims_size = 4;
  size_t required_bytes_four_bit;
  tflite::BytesRequired(kTfLiteInt4, dims_ptr, dims_size,
                        &required_bytes_four_bit, &context);

  ASSERT_EQ(required_bytes_four_bit, 15);
}

TEST(FourBitTest, BytesRequiredOdd) {
  TfLiteContext context;

  int dims[] = {5, 1, 1, 1};
  const int* dims_ptr = &dims[0];
  size_t dims_size = 2;
  size_t required_bytes_four_bit;
  tflite::BytesRequired(kTfLiteInt4, dims_ptr, dims_size,
                        &required_bytes_four_bit, &context);

  ASSERT_EQ(required_bytes_four_bit, 3);
}

TEST(TestMakeUniqueTensor, Valid) {
  TensorUniquePtr t = BuildTfLiteTensor(kTfLiteInt32, {2, 3}, kTfLiteDynamic);
  ASSERT_NE(t.get(), nullptr);

  EXPECT_THAT(t.get(), DimsAre({2, 3}));
  EXPECT_EQ(t->bytes, 24);

  EXPECT_EQ(t->type, kTfLiteInt32);
  EXPECT_EQ(t->allocation_type, kTfLiteDynamic);

  // Check memory has been properly allocated.
  int* data = t->data.i32;
  std::fill_n(data, 6, 0);
  ASSERT_NE(data, nullptr);
  ASSERT_THAT(std::vector<int>(data, data + 6),
              ElementsAreArray({0, 0, 0, 0, 0, 0}));
}

TEST(TestMakeUniqueTensor, NullDimsReturnsNull) {
  TensorUniquePtr t = BuildTfLiteTensor(kTfLiteInt32, nullptr, kTfLiteDynamic);
  ASSERT_EQ(t.get(), nullptr);
}

}  // namespace
}  // namespace tflite