139 lines
4.9 KiB
C++
139 lines
4.9 KiB
C++
/* Copyright 2018 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 <initializer_list>
|
|
#include <vector>
|
|
|
|
#include <gmock/gmock.h>
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/kernels/test_util.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace {
|
|
|
|
using ::testing::ElementsAreArray;
|
|
|
|
class ElementWiseOpBaseModel : public SingleOpModel {
|
|
public:
|
|
int input() const { return input_; }
|
|
int output() const { return output_; }
|
|
|
|
protected:
|
|
int input_;
|
|
int output_;
|
|
};
|
|
|
|
class ElementWiseOpFloatModel : public ElementWiseOpBaseModel {
|
|
public:
|
|
ElementWiseOpFloatModel(BuiltinOperator op,
|
|
std::initializer_list<int> input_shape) {
|
|
input_ = AddInput(TensorType_FLOAT32);
|
|
output_ = AddOutput(TensorType_FLOAT32);
|
|
SetBuiltinOp(op, BuiltinOptions_NONE, 0);
|
|
BuildInterpreter({input_shape});
|
|
}
|
|
};
|
|
|
|
class ElementWiseOpBoolModel : public ElementWiseOpBaseModel {
|
|
public:
|
|
ElementWiseOpBoolModel(BuiltinOperator op,
|
|
std::initializer_list<int> input_shape) {
|
|
input_ = AddInput(TensorType_BOOL);
|
|
output_ = AddOutput(TensorType_BOOL);
|
|
SetBuiltinOp(op, BuiltinOptions_NONE, 0);
|
|
BuildInterpreter({input_shape});
|
|
}
|
|
};
|
|
|
|
TEST(ElementWise, Sin) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_SIN, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {0, 3.1415926, -3.1415926, 1});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({0, 0, 0, 0.84147})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(ElementWise, Cos) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_COS, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {0, 3.1415926, -3.1415926, 1});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({1, -1, -1, 0.54030})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(ElementWise, Log) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_LOG, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {1, 3.1415926, 1, 1});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({0, 1.14473, 0, 0})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(FloatActivationsOpTest, Abs) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_ABS, {1, 2, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {
|
|
0.f, -6.2f, 2.f, 4.f, //
|
|
3.f, -2.f, 10.f, 1.f, //
|
|
});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()), ElementsAreArray({
|
|
0.f, 6.2f, 2.f, 4.f, //
|
|
3.f, 2.f, 10.f, 1.f, //
|
|
}));
|
|
}
|
|
|
|
TEST(ElementWise, Sqrt) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_SQRT, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {0, 1, 2, 4});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({0, 1, 1.41421, 2})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(ElementWise, Rsqrt) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_RSQRT, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {1, 2, 4, 9});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({1, 0.7071, 0.5, 0.33333})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(ElementWise, Square) {
|
|
ElementWiseOpFloatModel m(BuiltinOperator_SQUARE, {1, 1, 4, 1});
|
|
m.PopulateTensor<float>(m.input(), {1, 2, 0.5, -3.0});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<float>(m.output()),
|
|
ElementsAreArray(ArrayFloatNear({1, 4.0, 0.25, 9.0})));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
TEST(ElementWise, LogicalNot) {
|
|
ElementWiseOpBoolModel m(BuiltinOperator_LOGICAL_NOT, {1, 1, 4, 1});
|
|
m.PopulateTensor<bool>(m.input(), {true, false, true, false});
|
|
m.Invoke();
|
|
EXPECT_THAT(m.ExtractVector<bool>(m.output()),
|
|
ElementsAreArray({false, true, false, true}));
|
|
EXPECT_THAT(m.GetTensorShape(m.output()), ElementsAreArray({1, 1, 4, 1}));
|
|
}
|
|
|
|
} // namespace
|
|
} // namespace tflite
|