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