72 lines
2.0 KiB
C++
72 lines
2.0 KiB
C++
/* Copyright 2020 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.
|
|
==============================================================================*/
|
|
|
|
#ifndef TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_
|
|
#define TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_
|
|
|
|
#include <cstdint>
|
|
#include <vector>
|
|
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace xnnpack {
|
|
|
|
class SoftmaxTester {
|
|
public:
|
|
SoftmaxTester() = default;
|
|
SoftmaxTester(const SoftmaxTester&) = delete;
|
|
SoftmaxTester& operator=(const SoftmaxTester&) = delete;
|
|
|
|
inline SoftmaxTester& Shape(std::initializer_list<int32_t> shape) {
|
|
EXPECT_GT(shape.size(), 0);
|
|
for (auto it = shape.begin(); it != shape.end(); ++it) {
|
|
EXPECT_GT(*it, 0);
|
|
}
|
|
shape_ = std::vector<int32_t>(shape.begin(), shape.end());
|
|
size_ = SoftmaxTester::ComputeSize(shape_);
|
|
return *this;
|
|
}
|
|
|
|
const std::vector<int32_t>& Shape() const { return shape_; }
|
|
|
|
int32_t Size() const { return size_; }
|
|
|
|
inline SoftmaxTester& Beta(float beta) {
|
|
beta_ = beta;
|
|
return *this;
|
|
}
|
|
|
|
float Beta() const { return beta_; }
|
|
|
|
void Test(TfLiteDelegate* delegate) const;
|
|
|
|
private:
|
|
std::vector<char> CreateTfLiteModel() const;
|
|
|
|
static int32_t ComputeSize(const std::vector<int32_t>& shape);
|
|
|
|
std::vector<int32_t> shape_;
|
|
int32_t size_;
|
|
float beta_ = 1.0f;
|
|
};
|
|
|
|
} // namespace xnnpack
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_SOFTMAX_TESTER_H_
|