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/*
* Copyright (c) 2018-2019 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE
#define ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/BoundingBoxTransform.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
std::vector<float> generate_deltas(std::vector<float> &boxes, const TensorShape &image_shape, size_t num_boxes, size_t num_classes, std::mt19937 &gen)
{
std::vector<float> deltas(num_boxes * 4 * num_classes);
std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1);
std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1);
std::uniform_int_distribution<> dist_w(1, image_shape[0]);
std::uniform_int_distribution<> dist_h(1, image_shape[1]);
for(size_t i = 0; i < num_boxes; ++i)
{
const float ex_width = boxes[4 * i + 2] - boxes[4 * i] + 1.f;
const float ex_height = boxes[4 * i + 3] - boxes[4 * i + 1] + 1.f;
const float ex_ctr_x = boxes[4 * i] + 0.5f * ex_width;
const float ex_ctr_y = boxes[4 * i + 1] + 0.5f * ex_height;
for(size_t j = 0; j < num_classes; ++j)
{
const float x1 = dist_x1(gen);
const float y1 = dist_y1(gen);
const float width = dist_w(gen);
const float height = dist_h(gen);
const float ctr_x = x1 + 0.5f * width;
const float ctr_y = y1 + 0.5f * height;
deltas[4 * num_classes * i + 4 * j] = (ctr_x - ex_ctr_x) / ex_width;
deltas[4 * num_classes * i + 4 * j + 1] = (ctr_y - ex_ctr_y) / ex_height;
deltas[4 * num_classes * i + 4 * j + 2] = log(width / ex_width);
deltas[4 * num_classes * i + 4 * j + 3] = log(height / ex_height);
}
}
return deltas;
}
std::vector<float> generate_boxes(const TensorShape &image_shape, size_t num_boxes, std::mt19937 &gen)
{
std::vector<float> boxes(num_boxes * 4);
std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1);
std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1);
std::uniform_int_distribution<> dist_w(1, image_shape[0]);
std::uniform_int_distribution<> dist_h(1, image_shape[1]);
for(size_t i = 0; i < num_boxes; ++i)
{
boxes[4 * i] = dist_x1(gen);
boxes[4 * i + 1] = dist_y1(gen);
boxes[4 * i + 2] = boxes[4 * i] + dist_w(gen) - 1;
boxes[4 * i + 3] = boxes[4 * i + 1] + dist_h(gen) - 1;
}
return boxes;
}
} // namespace
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class BoundingBoxTransformGenericFixture : public framework::Fixture
{
public:
using TDeltas = typename std::conditional<std::is_same<typename std::decay<T>::type, uint16_t>::value, uint8_t, T>::type;
template <typename...>
void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo)
{
const bool is_qasymm16 = data_type == DataType::QASYMM16;
_data_type_deltas = (is_qasymm16) ? DataType::QASYMM8 : data_type;
_boxes_qinfo = (is_qasymm16) ? QuantizationInfo(.125f, 0) : QuantizationInfo();
std::mt19937 gen_target(library->seed());
_target = compute_target(deltas_shape, data_type, info, gen_target, deltas_qinfo);
std::mt19937 gen_reference(library->seed());
_reference = compute_reference(deltas_shape, data_type, info, gen_reference, deltas_qinfo);
}
protected:
template <typename data_type, typename U>
void fill(U &&tensor, std::vector<float> values)
{
data_type *data_ptr = reinterpret_cast<data_type *>(tensor.data());
switch(tensor.data_type())
{
case DataType::QASYMM8:
for(size_t i = 0; i < values.size(); ++i)
{
data_ptr[i] = quantize_qasymm8(values[i], tensor.quantization_info());
}
break;
case DataType::QASYMM16:
for(size_t i = 0; i < values.size(); ++i)
{
data_ptr[i] = quantize_qasymm16(values[i], tensor.quantization_info());
}
break;
default:
for(size_t i = 0; i < values.size(); ++i)
{
data_ptr[i] = static_cast<data_type>(values[i]);
}
}
}
TensorType compute_target(const TensorShape &deltas_shape, DataType data_type,
const BoundingBoxTransformInfo &bbox_info, std::mt19937 &gen,
QuantizationInfo deltas_qinfo)
{
// Create tensors
TensorShape boxes_shape(4, deltas_shape[1]);
TensorType deltas = create_tensor<TensorType>(deltas_shape, _data_type_deltas, 1, deltas_qinfo);
TensorType boxes = create_tensor<TensorType>(boxes_shape, data_type, 1, _boxes_qinfo);
TensorType pred_boxes;
// Create and configure function
FunctionType bbox_transform;
bbox_transform.configure(&boxes, &pred_boxes, &deltas, bbox_info);
ARM_COMPUTE_EXPECT(deltas.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(boxes.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(pred_boxes.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
deltas.allocator()->allocate();
boxes.allocator()->allocate();
pred_boxes.allocator()->allocate();
ARM_COMPUTE_EXPECT(!deltas.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!boxes.info()->is_resizable(), framework::LogLevel::ERRORS);
// Fill tensors
TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height());
std::vector<float> boxes_vec = generate_boxes(img_shape, boxes_shape[1], gen);
std::vector<float> deltas_vec = generate_deltas(boxes_vec, img_shape, deltas_shape[1], deltas_shape[0] / 4, gen);
fill<T>(AccessorType(boxes), boxes_vec);
fill<TDeltas>(AccessorType(deltas), deltas_vec);
// Compute function
bbox_transform.run();
return pred_boxes;
}
SimpleTensor<T> compute_reference(const TensorShape &deltas_shape,
DataType data_type,
const BoundingBoxTransformInfo &bbox_info,
std::mt19937 &gen,
QuantizationInfo deltas_qinfo)
{
// Create reference tensor
TensorShape boxes_shape(4, deltas_shape[1]);
SimpleTensor<T> boxes{ boxes_shape, data_type, 1, _boxes_qinfo };
SimpleTensor<TDeltas> deltas{ deltas_shape, _data_type_deltas, 1, deltas_qinfo };
// Fill reference tensor
TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height());
std::vector<float> boxes_vec = generate_boxes(img_shape, boxes_shape[1], gen);
std::vector<float> deltas_vec = generate_deltas(boxes_vec, img_shape, deltas_shape[1], deltas_shape[0] / 4, gen);
fill<T>(boxes, boxes_vec);
fill<TDeltas>(deltas, deltas_vec);
return reference::bounding_box_transform(boxes, deltas, bbox_info);
}
TensorType _target{};
SimpleTensor<T> _reference{};
DataType _data_type_deltas{};
QuantizationInfo _boxes_qinfo{};
private:
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class BoundingBoxTransformFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type)
{
BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, QuantizationInfo());
}
private:
};
template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
class BoundingBoxTransformQuantizedFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>
{
public:
template <typename...>
void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo)
{
BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, deltas_qinfo);
}
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE */
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