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137 lines
4.7 KiB
C++
137 lines
4.7 KiB
C++
/* Copyright 2023 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 "tensorflow/lite/array.h"
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#include <algorithm>
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#include <cstddef>
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#include <initializer_list>
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#include <type_traits>
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#include <vector>
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#include <gmock/gmock.h>
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#include <gtest/gtest.h>
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#include "absl/types/span.h"
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#include "tensorflow/lite/core/c/common.h"
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using testing::ElementsAreArray;
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using testing::Eq;
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namespace tflite {
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namespace {
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absl::Span<int> GetSpan(TfLiteIntArray& array) {
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return {array.data, static_cast<size_t>(array.size)};
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}
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absl::Span<float> GetSpan(TfLiteFloatArray& array) {
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return {array.data, static_cast<size_t>(array.size)};
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}
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template <class T>
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class TfLiteArrayTest : public testing::Test {
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static_assert(
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std::is_same_v<TfLiteIntArray, TfLiteArrayUniquePtr<int>::element_type>,
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"TfLiteArrayUniquePtr<int>::element_type should be TfLiteIntArray");
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static_assert(
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std::is_same_v<TfLiteFloatArray,
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TfLiteArrayUniquePtr<float>::element_type>,
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"TfLiteArrayUniquePtr<float>::element_type should be TfLiteFloatArray");
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};
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using ArrayTypes = testing::Types<int, float>;
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TYPED_TEST_SUITE(TfLiteArrayTest, ArrayTypes);
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TYPED_TEST(TfLiteArrayTest, BuildArrayWithSize) {
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constexpr int size = 3;
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray<TypeParam>(size);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(size));
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// Touch data to check that allocation is not too small.
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std::fill_n(array->data, size, static_cast<TypeParam>(1));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromDynamicArray) {
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constexpr int size = 4;
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constexpr TypeParam values[size] = {1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray(size, values);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(size));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromCArray) {
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TypeParam values[] = {1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray(values);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(sizeof(values) / sizeof(TypeParam)));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromVector) {
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std::vector<TypeParam> values = {1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray(values);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(values.size()));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromVectorForceType) {
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using DifferentType =
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std::conditional_t<std::is_same_v<TypeParam, int>, float, int>;
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std::vector<DifferentType> values = {1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray<TypeParam>(values);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(values.size()));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromSpan) {
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std::vector<TypeParam> values = {1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array =
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BuildTfLiteArray(absl::Span<const TypeParam>(values));
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(values.size()));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromInitializerList) {
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std::initializer_list<TypeParam> values{1, 2, 3, 4};
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray(values);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(values.size()));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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TYPED_TEST(TfLiteArrayTest, BuildUsingSingleElementInitializerList) {
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constexpr TypeParam value = 42;
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray({value});
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(1));
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EXPECT_THAT(array->data[0], Eq(value));
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}
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TYPED_TEST(TfLiteArrayTest, BuildFromTfLiteArray) {
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std::initializer_list<TypeParam> values{1, 2, 3, 4};
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const auto ref = BuildTfLiteArray(values);
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TfLiteArrayUniquePtr<TypeParam> array = BuildTfLiteArray(*ref);
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ASSERT_NE(array, nullptr);
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EXPECT_THAT(array->size, Eq(values.size()));
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EXPECT_THAT(GetSpan(*array), ElementsAreArray(values));
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}
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} // namespace
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} // namespace tflite
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