blob: cb869838e275e1d1e8b5104bb1f7b8b92ae9b457 [file] [log] [blame]
/*
* Copyright (c) 2019-2022 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.
*/
#include "src/core/NEON/kernels/NEBoundingBoxTransformKernel.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Window.h"
#include "src/core/common/Registrars.h"
#include "src/core/CPP/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/cpu/kernels/boundingboxtransform/list.h"
#include <arm_neon.h>
namespace arm_compute
{
namespace
{
struct BoundingBoxTransformSelectorData
{
DataType dt;
};
using BoundingBoxTransformSelctorPtr = std::add_pointer<bool(const BoundingBoxTransformSelectorData &data)>::type;
using BoundingBoxTransformUKernelPtr = std::add_pointer<void(const ITensor *boxes,
ITensor *pred_boxes,
const ITensor *deltas,
BoundingBoxTransformInfo bbinfo,
const Window &window)>::type;
struct BoundingBoxTransformKernel
{
const char *name;
const BoundingBoxTransformSelctorPtr is_selected;
BoundingBoxTransformUKernelPtr ukernel;
};
static const BoundingBoxTransformKernel available_kernels[] = {
{"fp32_neon_boundingboxtransform",
[](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::F32; },
REGISTER_FP32_NEON(arm_compute::cpu::neon_fp32_boundingboxtransform)},
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
{"fp16_neon_boundingboxtransform",
[](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::F16; },
REGISTER_FP16_NEON(arm_compute::cpu::neon_fp16_boundingboxtransform)},
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
#if defined(ARM_COMPUTE_ENABLE_NEON)
{"qu16_neon_boundingboxtransform",
[](const BoundingBoxTransformSelectorData &data) { return data.dt == DataType::QASYMM16; },
REGISTER_QSYMM16_NEON(arm_compute::cpu::neon_qu16_boundingboxtransform)},
#endif //defined(ARM_COMPUTE_ENABLE_NEON)
};
/** Micro-kernel selector
*
* @param[in] data Selection data passed to help pick the appropriate micro-kernel
*
* @return A matching micro-kernel else nullptr
*/
const BoundingBoxTransformKernel *get_implementation(const BoundingBoxTransformSelectorData &data)
{
for (const auto &uk : available_kernels)
{
if (uk.is_selected(data))
{
return &uk;
}
}
return nullptr;
}
Status validate_arguments(const ITensorInfo *boxes,
const ITensorInfo *pred_boxes,
const ITensorInfo *deltas,
const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(boxes);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(boxes, DataType::QASYMM16, DataType::F32, DataType::F16);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(deltas, DataType::QASYMM8, DataType::F32, DataType::F16);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[1] != boxes->tensor_shape()[1]);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->tensor_shape()[0] % 4 != 0);
ARM_COMPUTE_RETURN_ERROR_ON(boxes->tensor_shape()[0] != 4);
ARM_COMPUTE_RETURN_ERROR_ON(deltas->num_dimensions() > 2);
ARM_COMPUTE_RETURN_ERROR_ON(boxes->num_dimensions() > 2);
ARM_COMPUTE_RETURN_ERROR_ON(info.scale() <= 0);
if (boxes->data_type() == DataType::QASYMM16)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(deltas, 1, DataType::QASYMM8);
const UniformQuantizationInfo deltas_qinfo = deltas->quantization_info().uniform();
ARM_COMPUTE_RETURN_ERROR_ON(deltas_qinfo.scale != 0.125f);
ARM_COMPUTE_RETURN_ERROR_ON(deltas_qinfo.offset != 0);
}
else
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(boxes, deltas);
}
if (pred_boxes->total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(pred_boxes->tensor_shape(), deltas->tensor_shape());
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(pred_boxes, deltas);
ARM_COMPUTE_RETURN_ERROR_ON(pred_boxes->num_dimensions() > 2);
if (pred_boxes->data_type() == DataType::QASYMM16)
{
const UniformQuantizationInfo pred_qinfo = pred_boxes->quantization_info().uniform();
ARM_COMPUTE_RETURN_ERROR_ON(pred_qinfo.scale != 0.125f);
ARM_COMPUTE_RETURN_ERROR_ON(pred_qinfo.offset != 0);
}
}
return Status{};
}
} // namespace
NEBoundingBoxTransformKernel::NEBoundingBoxTransformKernel()
: _boxes(nullptr), _pred_boxes(nullptr), _deltas(nullptr), _bbinfo(0, 0, 0)
{
}
void NEBoundingBoxTransformKernel::configure(const ITensor *boxes,
ITensor *pred_boxes,
const ITensor *deltas,
const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(boxes, pred_boxes, deltas);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(boxes->info(), pred_boxes->info(), deltas->info(), info));
// Configure kernel window
auto_init_if_empty(*pred_boxes->info(), deltas->info()
->clone()
->set_data_type(boxes->info()->data_type())
.set_quantization_info(boxes->info()->quantization_info()));
// Set instance variables
_boxes = boxes;
_pred_boxes = pred_boxes;
_deltas = deltas;
_bbinfo = info;
const unsigned int num_boxes = boxes->info()->dimension(1);
Window win = calculate_max_window(*pred_boxes->info(), Steps());
win.set(Window::DimX, Window::Dimension(0, 1u));
win.set(Window::DimY, Window::Dimension(0, num_boxes));
INEKernel::configure(win);
}
Status NEBoundingBoxTransformKernel::validate(const ITensorInfo *boxes,
const ITensorInfo *pred_boxes,
const ITensorInfo *deltas,
const BoundingBoxTransformInfo &info)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(boxes, pred_boxes, deltas, info));
return Status{};
}
void NEBoundingBoxTransformKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
const auto *uk = get_implementation(BoundingBoxTransformSelectorData{_boxes->info()->data_type()});
ARM_COMPUTE_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
uk->ukernel(_boxes, _pred_boxes, _deltas, _bbinfo, window);
}
} // namespace arm_compute