wehub-resource-sync
111 lines
4.1 KiB
C++
111 lines
4.1 KiB
C++
/* Copyright 2019 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 <stdint.h>
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#include <memory>
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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 "tensorflow/lite/core/interpreter.h"
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#include "tensorflow/lite/kernels/test_util.h"
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#include "tensorflow/lite/schema/schema_generated.h"
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namespace tflite {
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namespace {
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using ::testing::ElementsAre;
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using ::testing::ElementsAreArray;
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template <typename T>
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class MatrixDiagOpModel : public SingleOpModel {
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public:
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explicit MatrixDiagOpModel(const TensorData& input) {
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input_ = AddInput(input);
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output_ = AddOutput({input.type, {}});
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SetBuiltinOp(BuiltinOperator_MATRIX_DIAG, BuiltinOptions_MatrixDiagOptions,
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CreateMatrixDiagOptions(builder_).Union());
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BuildInterpreter({GetShape(input_)});
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}
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int input() { return input_; }
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std::vector<T> GetOutput() { return ExtractVector<T>(output_); }
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std::vector<int> GetOutputShape() { return GetTensorShape(output_); }
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TfLiteType GetOutputType() {
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TfLiteTensor* t = interpreter_->tensor(output_);
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return t->type;
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}
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private:
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int input_;
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int output_;
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};
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// Use the machinery of TYPED_TEST_SUITE to test all supported types.
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// See
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// https://github.com/google/googletest/blob/master/googletest/docs/advanced.md#typed-tests
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// for details.
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template <typename T>
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class MatrixDiagOpTest : public ::testing::Test {};
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using TypesUnderTest =
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::testing::Types<TypeUnion<int32_t>, TypeUnion<float>, TypeUnion<int16_t>,
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TypeUnion<int8_t>, TypeUnion<uint8_t>>;
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TYPED_TEST_SUITE(MatrixDiagOpTest, TypesUnderTest);
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TYPED_TEST(MatrixDiagOpTest, ThreeByThreeDiag) {
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MatrixDiagOpModel<typename TypeParam::ScalarType> model(
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{TypeParam::tensor_type, {3}});
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model.template PopulateTensor<typename TypeParam::ScalarType>(model.input(),
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{1, 2, 3});
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ASSERT_EQ(model.Invoke(), kTfLiteOk);
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EXPECT_THAT(model.GetOutputShape(), ElementsAre(3, 3));
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EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 0, 0, //
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0, 2, 0, //
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0, 0, 3}));
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EXPECT_THAT(model.GetOutputType(), TypeParam::tflite_type);
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}
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// Additional special cases.
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TEST(MatrixDiagTest, Int32TestTwoDimDiag) {
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MatrixDiagOpModel<int32_t> model({TensorType_INT32, {2, 4}});
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model.PopulateTensor<int32_t>(model.input(), {1, 2, 3, 4, 5, 6, 7, 8});
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ASSERT_EQ(model.Invoke(), kTfLiteOk);
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EXPECT_THAT(model.GetOutputShape(), ElementsAre(2, 4, 4));
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EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 0, 0, 0, //
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0, 2, 0, 0, //
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0, 0, 3, 0, //
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0, 0, 0, 4, //
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5, 0, 0, 0, //
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0, 6, 0, 0, //
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0, 0, 7, 0, //
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0, 0, 0, 8}));
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EXPECT_THAT(model.GetOutputType(), TfLiteType::kTfLiteInt32);
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}
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TEST(MatrixDiagTest, DegenerateCase) {
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MatrixDiagOpModel<uint8_t> model({TensorType_UINT8, {1}});
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model.PopulateTensor<uint8_t>(model.input(), {1});
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ASSERT_EQ(model.Invoke(), kTfLiteOk);
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EXPECT_THAT(model.GetOutputShape(), ElementsAre(1, 1));
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EXPECT_THAT(model.GetOutput(), ElementsAreArray({1}));
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EXPECT_THAT(model.GetOutputType(), TfLiteType::kTfLiteUInt8);
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}
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} // namespace
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} // namespace tflite
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