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/*
* Copyright (c) 2017-2021, 2023 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/CL/kernels/CLROIPoolingLayerKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/utils/StringUtils.h"
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/StringSupport.h"
#include <cfloat>
#include <cmath>
#include <string>
namespace arm_compute
{
CLROIPoolingLayerKernel::CLROIPoolingLayerKernel()
: _input(nullptr), _rois(nullptr), _output(nullptr), _pool_info(0, 0, 0.f)
{
_type = CLKernelType::ELEMENTWISE;
}
Status CLROIPoolingLayerKernel::validate(const ITensorInfo *input,
const ITensorInfo *rois,
const ITensorInfo *output,
const ROIPoolingLayerInfo &pool_info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output);
//Validate arguments
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, rois, output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rois, 1, DataType::U16);
ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(0) != 5);
ARM_COMPUTE_RETURN_ERROR_ON(rois->num_dimensions() > 2);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8);
ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0));
if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pool_info.pooled_width()) ||
(output->dimension(1) != pool_info.pooled_height()));
ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != output->dimension(2));
ARM_COMPUTE_RETURN_ERROR_ON(rois->dimension(1) != output->dimension(3));
}
return Status{};
}
void CLROIPoolingLayerKernel::configure(const ICLTensor *input,
const ICLTensor *rois,
ICLTensor *output,
const ROIPoolingLayerInfo &pool_info)
{
configure(CLKernelLibrary::get().get_compile_context(), input, rois, output, pool_info);
}
void CLROIPoolingLayerKernel::configure(const CLCompileContext &compile_context,
const ICLTensor *input,
const ICLTensor *rois,
const ICLTensor *output,
const ROIPoolingLayerInfo &pool_info)
{
ARM_COMPUTE_ERROR_THROW_ON(
CLROIPoolingLayerKernel::validate(input->info(), rois->info(), output->info(), pool_info));
auto padding_info = get_padding_info({input, rois, output});
// Output auto initialization if not yet initialized
TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimension(2),
rois->info()->dimension(1));
auto_init_if_empty(*(output->info()), output_shape, 1, input->info()->data_type(),
output->info()->quantization_info());
// Set instance variables
_input = input;
_rois = rois;
_output = output;
_pool_info = pool_info;
const DataType data_type = input->info()->data_type();
const bool is_qasymm = is_data_type_quantized_asymmetric(data_type);
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
build_opts.add_option("-DDATA_SIZE=" + get_data_size_from_data_type(data_type));
build_opts.add_option("-DMAX_DIM_X=" + support::cpp11::to_string(_input->info()->dimension(Window::DimX)));
build_opts.add_option("-DMAX_DIM_Y=" + support::cpp11::to_string(_input->info()->dimension(Window::DimY)));
build_opts.add_option("-DMAX_DIM_Z=" + support::cpp11::to_string(_input->info()->dimension(Window::DimZ)));
build_opts.add_option("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width()));
build_opts.add_option("-DPOOLED_DIM_Y=" + support::cpp11::to_string(pool_info.pooled_height()));
build_opts.add_option("-DSPATIAL_SCALE=" + support::cpp11::to_string(pool_info.spatial_scale()));
if (is_qasymm)
{
// Determine quantization info scale, offset
UniformQuantizationInfo uqinfo = UniformQuantizationInfo();
uqinfo = compute_requantization_scale_offset(_input->info()->quantization_info().uniform(),
_output->info()->quantization_info().uniform());
build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(uqinfo.offset));
build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(uqinfo.scale));
// Specify minimum possible value of datatype
build_opts.add_option("-DMIN_VALUE=" + support::cpp11::to_string(0));
}
else
{
// Specify min value of F32 datatype
build_opts.add_option("-DMIN_VALUE=" + support::cpp11::to_string(-FLT_MAX));
}
Window win = calculate_max_window(*(output->info()), Steps());
ICLKernel::configure_internal(win);
// Create kernel
std::string kernel_name = "roi_pooling_layer";
_kernel = create_kernel(compile_context, kernel_name, build_opts.options());
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
void CLROIPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window slice = window.first_slice_window_3D();
Window slice_rois = slice;
// Parallelize spatially and across the fourth dimension of the output tensor (also across ROITensor)
slice_rois.set_dimension_step(Window::DimX, _rois->info()->dimension(0));
slice.set(Window::DimZ, window[3]);
// Set arguments
unsigned int idx = 0;
add_3D_tensor_argument(idx, _input, slice);
add_2D_tensor_argument(idx, _rois, slice_rois);
add_3D_tensor_argument(idx, _output, slice);
add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]);
add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]);
enqueue(queue, *this, slice, lws_hint());
}
} // namespace arm_compute
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