wehub-resource-sync
121 lines
3.4 KiB
C++
121 lines
3.4 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 <limits>
|
|
#include <vector>
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/kernels/custom_ops_register.h"
|
|
#include "tensorflow/lite/kernels/test_util.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace {
|
|
|
|
using ::testing::ElementsAre;
|
|
|
|
template <typename T>
|
|
TensorType GetTTEnum();
|
|
|
|
template <>
|
|
TensorType GetTTEnum<float>() {
|
|
return TensorType_FLOAT32;
|
|
}
|
|
|
|
template <>
|
|
TensorType GetTTEnum<double>() {
|
|
return TensorType_FLOAT64;
|
|
}
|
|
|
|
class SignModel : public SingleOpModel {
|
|
public:
|
|
SignModel(const TensorData& x, const TensorData& output) {
|
|
x_ = AddInput(x);
|
|
output_ = AddOutput(output);
|
|
SetCustomOp("Sign", {}, ops::custom::Register_SIGN);
|
|
BuildInterpreter({GetShape(x_)});
|
|
}
|
|
|
|
template <typename T>
|
|
std::vector<T> RunAndGetOutput(const std::vector<T>& x) {
|
|
PopulateTensor<T>(x_, x);
|
|
Invoke();
|
|
return ExtractVector<T>(output_);
|
|
}
|
|
|
|
private:
|
|
int x_;
|
|
int output_;
|
|
};
|
|
|
|
template <typename Float>
|
|
class SignCustomTest : public testing::Test {
|
|
public:
|
|
using FloatType = Float;
|
|
};
|
|
|
|
using TestTypes = testing::Types<float, double>;
|
|
|
|
TYPED_TEST_SUITE(SignCustomTest, TestTypes);
|
|
|
|
TYPED_TEST(SignCustomTest, TestScalar) {
|
|
using Float = typename TestFixture::FloatType;
|
|
TensorData x = {GetTTEnum<Float>(), {}};
|
|
TensorData output = {GetTTEnum<Float>(), {}};
|
|
SignModel m(x, output);
|
|
std::vector<Float> got = m.RunAndGetOutput<Float>({Float(0.0)});
|
|
ASSERT_EQ(got.size(), 1);
|
|
EXPECT_FLOAT_EQ(got[0], Float(0.0));
|
|
|
|
std::vector<Float> got_pos = m.RunAndGetOutput<Float>({Float(5.0)});
|
|
ASSERT_EQ(got_pos.size(), 1);
|
|
EXPECT_FLOAT_EQ(got_pos[0], Float(1.0));
|
|
|
|
std::vector<Float> got_neg = m.RunAndGetOutput<Float>({Float(-3.0)});
|
|
ASSERT_EQ(got_neg.size(), 1);
|
|
EXPECT_FLOAT_EQ(got_neg[0], Float(-1.0));
|
|
}
|
|
|
|
TYPED_TEST(SignCustomTest, TestNaN) {
|
|
using Float = typename TestFixture::FloatType;
|
|
TensorData x = {GetTTEnum<Float>(), {}};
|
|
TensorData output = {GetTTEnum<Float>(), {}};
|
|
SignModel m(x, output);
|
|
std::vector<Float> got =
|
|
m.RunAndGetOutput<Float>({std::numeric_limits<Float>::quiet_NaN()});
|
|
ASSERT_EQ(got.size(), 1);
|
|
EXPECT_TRUE(std::isnan(got[0]));
|
|
}
|
|
|
|
TYPED_TEST(SignCustomTest, TestBatch) {
|
|
using Float = typename TestFixture::FloatType;
|
|
TensorData x = {GetTTEnum<Float>(), {4, 2, 1}};
|
|
TensorData output = {GetTTEnum<Float>(), {4, 2, 1}};
|
|
SignModel m(x, output);
|
|
|
|
std::vector<Float> x_data = {Float(0.8), Float(-0.7), Float(0.6), Float(-0.5),
|
|
Float(0.4), Float(-0.3), Float(0.2), Float(0.0)};
|
|
|
|
std::vector<Float> got = m.RunAndGetOutput<Float>(x_data);
|
|
|
|
EXPECT_THAT(got,
|
|
ElementsAre(Float(1.0), Float(-1.0), Float(1.0), Float(-1.0),
|
|
Float(1.0), Float(-1.0), Float(1.0), Float(0.0)));
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace tflite
|