wehub-resource-sync
121 lines
3.7 KiB
C++
121 lines
3.7 KiB
C++
// Copyright 2021 Google LLC
|
|
//
|
|
// 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 <cmath>
|
|
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/kernels/test_util.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
#include "tensorflow/lite/types/half.h"
|
|
|
|
namespace tflite {
|
|
namespace {
|
|
|
|
template <typename T>
|
|
tflite::TensorType GetTTEnum();
|
|
template <>
|
|
tflite::TensorType GetTTEnum<float>() {
|
|
return tflite::TensorType_FLOAT32;
|
|
}
|
|
|
|
template <>
|
|
tflite::TensorType GetTTEnum<double>() {
|
|
return tflite::TensorType_FLOAT64;
|
|
}
|
|
|
|
template <>
|
|
tflite::TensorType GetTTEnum<half>() {
|
|
return tflite::TensorType_FLOAT16;
|
|
}
|
|
|
|
template <>
|
|
tflite::TensorType GetTTEnum<Eigen::bfloat16>() {
|
|
return tflite::TensorType_BFLOAT16;
|
|
}
|
|
|
|
class Atan2Model : public tflite::SingleOpModel {
|
|
public:
|
|
Atan2Model(tflite::TensorData y, tflite::TensorData x,
|
|
tflite::TensorData output) {
|
|
y_ = AddInput(y);
|
|
x_ = AddInput(x);
|
|
output_ = AddOutput(output);
|
|
SetBuiltinOp(BuiltinOperator_ATAN2, BuiltinOptions_NONE, 0);
|
|
BuildInterpreter({GetShape(y_), GetShape(x_)});
|
|
}
|
|
|
|
template <typename T>
|
|
std::vector<T> GetOutput(const std::vector<T>& y, const std::vector<T>& x) {
|
|
PopulateTensor<T>(y_, y);
|
|
PopulateTensor<T>(x_, x);
|
|
Invoke();
|
|
return ExtractVector<T>(output_);
|
|
}
|
|
|
|
private:
|
|
int y_;
|
|
int x_;
|
|
int output_;
|
|
};
|
|
|
|
template <typename Float>
|
|
class Atan2Test : public ::testing::Test {
|
|
public:
|
|
using FloatType = Float;
|
|
};
|
|
|
|
using TestTypes = ::testing::Types<float, double, half, Eigen::bfloat16>;
|
|
|
|
TYPED_TEST_SUITE(Atan2Test, TestTypes);
|
|
|
|
TYPED_TEST(Atan2Test, TestScalar) {
|
|
using Float = typename TestFixture::FloatType;
|
|
tflite::TensorData y = {GetTTEnum<Float>(), {}};
|
|
tflite::TensorData x = {GetTTEnum<Float>(), {}};
|
|
tflite::TensorData output = {GetTTEnum<Float>(), {}};
|
|
Atan2Model m(y, x, output);
|
|
|
|
auto got = m.GetOutput<Float>({Float(0.0f)}, {Float(0.0f)});
|
|
ASSERT_EQ(got.size(), 1);
|
|
EXPECT_FLOAT_EQ(got[0], 0.0);
|
|
ASSERT_FLOAT_EQ(m.GetOutput<Float>({Float(1.0f)}, {Float(0.0f)})[0],
|
|
Float(static_cast<float>(M_PI / 2)));
|
|
ASSERT_FLOAT_EQ(m.GetOutput<Float>({Float(0.0f)}, {Float(1.0f)})[0],
|
|
Float(0.0f));
|
|
ASSERT_FLOAT_EQ(m.GetOutput<Float>({Float(-1.0f)}, {Float(0.0f)})[0],
|
|
Float(-static_cast<float>(M_PI / 2)));
|
|
}
|
|
|
|
TYPED_TEST(Atan2Test, TestBatch) {
|
|
using Float = typename TestFixture::FloatType;
|
|
tflite::TensorData y = {GetTTEnum<Float>(), {4, 2, 1}};
|
|
tflite::TensorData x = {GetTTEnum<Float>(), {4, 2, 1}};
|
|
tflite::TensorData output = {GetTTEnum<Float>(), {4, 2, 1}};
|
|
Atan2Model m(y, x, output);
|
|
std::vector<Float> y_data = {Float(0.1f), Float(0.2f), Float(0.3f),
|
|
Float(0.4f), Float(0.5f), Float(0.6f),
|
|
Float(0.7f), Float(0.8f)};
|
|
std::vector<Float> x_data = {Float(0.8f), Float(0.7f), Float(0.6f),
|
|
Float(0.5f), Float(0.4f), Float(0.3f),
|
|
Float(0.2f), Float(0.1f)};
|
|
auto got = m.GetOutput<Float>(y_data, x_data);
|
|
ASSERT_EQ(got.size(), 8);
|
|
for (int i = 0; i < 8; ++i) {
|
|
EXPECT_FLOAT_EQ(got[i], Float(std::atan2(y_data[i], x_data[i])));
|
|
}
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace tflite
|