wehub-resource-sync
94 lines
2.9 KiB
C++
94 lines
2.9 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_RESHAPE_TESTER_H_
|
|
#define TENSORFLOW_LITE_DELEGATES_XNNPACK_RESHAPE_TESTER_H_
|
|
|
|
#include <cstdint>
|
|
#include <vector>
|
|
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/core/c/common.h"
|
|
#include "tensorflow/lite/interpreter.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace xnnpack {
|
|
|
|
class ReshapeTester {
|
|
public:
|
|
ReshapeTester() = default;
|
|
ReshapeTester(const ReshapeTester&) = delete;
|
|
ReshapeTester& operator=(const ReshapeTester&) = delete;
|
|
|
|
inline ReshapeTester& InputShape(const std::vector<int32_t>& input_shape) {
|
|
for (int32_t input_dim : input_shape) {
|
|
EXPECT_GT(input_dim, 0);
|
|
}
|
|
input_shape_ = std::vector<int32_t>(input_shape.begin(), input_shape.end());
|
|
input_size_ = ReshapeTester::ComputeSize(input_shape);
|
|
return *this;
|
|
}
|
|
|
|
inline const std::vector<int32_t>& InputShape() const { return input_shape_; }
|
|
|
|
inline ReshapeTester& OutputShape(const std::vector<int32_t>& output_shape) {
|
|
for (int32_t output_dim : output_shape) {
|
|
EXPECT_GT(output_dim, 0);
|
|
}
|
|
output_shape_ =
|
|
std::vector<int32_t>(output_shape.begin(), output_shape.end());
|
|
output_size_ = ReshapeTester::ComputeSize(output_shape);
|
|
return *this;
|
|
}
|
|
|
|
inline const std::vector<int32_t>& OutputShape() const {
|
|
return output_shape_;
|
|
}
|
|
|
|
inline int32_t InputSize() const { return input_size_; }
|
|
|
|
inline int32_t OutputSize() const { return output_size_; }
|
|
|
|
inline ReshapeTester& OutputShapeAsInput(bool shape_as_input) {
|
|
shape_as_input_ = shape_as_input;
|
|
return *this;
|
|
}
|
|
|
|
inline bool OutputShapeAsInput() const { return shape_as_input_; }
|
|
|
|
template <class T>
|
|
void Test(TensorType tensor_type, Interpreter* delegate_interpreter,
|
|
Interpreter* default_interpreter) const;
|
|
|
|
void Test(TensorType tensor_type, TfLiteDelegate* delegate) const;
|
|
|
|
private:
|
|
std::vector<char> CreateTfLiteModel(TensorType tensor_type) const;
|
|
|
|
static int32_t ComputeSize(const std::vector<int32_t>& shape);
|
|
|
|
std::vector<int32_t> input_shape_;
|
|
std::vector<int32_t> output_shape_;
|
|
int32_t input_size_ = 1;
|
|
int32_t output_size_ = 1;
|
|
bool shape_as_input_ = false;
|
|
};
|
|
|
|
} // namespace xnnpack
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_RESHAPE_TESTER_H_
|