ffc7592c82
- MEAN over spatial dimensions is converted as a Global Average Pooling PiperOrigin-RevId: 316031672 Change-Id: Icbecf2ccf2920c701ee2f6b04b6dcf9972b9ce0b
118 lines
3.5 KiB
C++
118 lines
3.5 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_REDUCE_TESTER_H_
|
|
#define TENSORFLOW_LITE_DELEGATES_XNNPACK_REDUCE_TESTER_H_
|
|
|
|
#include <cstdint>
|
|
#include <unordered_set>
|
|
#include <vector>
|
|
|
|
#include <gtest/gtest.h>
|
|
#include "tensorflow/lite/c/common.h"
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
namespace xnnpack {
|
|
|
|
class ReduceTester {
|
|
public:
|
|
ReduceTester() = default;
|
|
ReduceTester(const ReduceTester&) = delete;
|
|
ReduceTester& operator=(const ReduceTester&) = delete;
|
|
|
|
inline ReduceTester& InputShape(std::initializer_list<int32_t> shape) {
|
|
for (auto it = shape.begin(); it != shape.end(); ++it) {
|
|
EXPECT_GT(*it, 0);
|
|
}
|
|
input_shape_ = std::vector<int32_t>(shape.begin(), shape.end());
|
|
input_size_ = ReduceTester::ComputeSize(input_shape_);
|
|
return *this;
|
|
}
|
|
|
|
inline const std::vector<int32_t>& InputShape() const { return input_shape_; }
|
|
|
|
inline int32_t InputSize() const { return input_size_; }
|
|
|
|
inline ReduceTester& Axes(std::initializer_list<int32_t> axes) {
|
|
for (auto it = axes.begin(); it != axes.end(); ++it) {
|
|
EXPECT_GE(*it, 0);
|
|
}
|
|
axes_ = std::vector<int32_t>(axes.begin(), axes.end());
|
|
return *this;
|
|
}
|
|
|
|
inline const std::vector<int32_t>& Axes() const { return axes_; }
|
|
|
|
inline ReduceTester& KeepDims(bool keep_dims) {
|
|
keep_dims_ = keep_dims;
|
|
return *this;
|
|
}
|
|
|
|
inline bool KeepDims() const { return keep_dims_; }
|
|
|
|
inline std::vector<int32_t> OutputShape() const {
|
|
std::vector<int32_t> output_shape;
|
|
output_shape.reserve(InputShape().size());
|
|
std::unordered_set<int32_t> axes_set(Axes().cbegin(), Axes().cend());
|
|
for (int32_t i = 0; i < InputShape().size(); i++) {
|
|
if (axes_set.count(i) != 0) {
|
|
if (KeepDims()) {
|
|
output_shape.push_back(1);
|
|
}
|
|
} else {
|
|
output_shape.push_back(InputShape()[i]);
|
|
}
|
|
}
|
|
return output_shape;
|
|
}
|
|
|
|
inline int32_t OutputSize() const {
|
|
int32_t output_size = 1;
|
|
std::unordered_set<int32_t> axes_set(Axes().cbegin(), Axes().cend());
|
|
for (int32_t i = 0; i < InputShape().size(); i++) {
|
|
if (axes_set.count(i) == 0) {
|
|
output_size *= InputShape()[i];
|
|
}
|
|
}
|
|
return output_size;
|
|
}
|
|
|
|
inline ReduceTester& RelativeTolerance(float relative_tolerance) {
|
|
relative_tolerance_ = relative_tolerance;
|
|
return *this;
|
|
}
|
|
|
|
inline float RelativeTolerance() const { return relative_tolerance_; }
|
|
|
|
void Test(tflite::BuiltinOperator reduce_op, TfLiteDelegate* delegate) const;
|
|
|
|
private:
|
|
std::vector<char> CreateTfLiteModel(tflite::BuiltinOperator reduce_op) const;
|
|
|
|
static int32_t ComputeSize(const std::vector<int32_t>& shape);
|
|
|
|
std::vector<int32_t> input_shape_;
|
|
std::vector<int32_t> axes_;
|
|
int32_t input_size_;
|
|
bool keep_dims_ = true;
|
|
float relative_tolerance_ = 10.0f;
|
|
};
|
|
|
|
} // namespace xnnpack
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_DELEGATES_XNNPACK_REDUCE_TESTER_H_
|