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/*
* Copyright (c) 2018-2020 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 "arm_compute/core/CL/kernels/CLPriorBoxLayerKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/CLValidate.h"
#include "arm_compute/core/CL/ICLTensor.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 "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "support/StringSupport.h"
using namespace arm_compute::misc::shape_calculator;
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const PriorBoxLayerInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input1, input2);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2);
// Check variances
const int var_size = info.variances().size();
if(var_size > 1)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(var_size != 4, "Must provide 4 variance values");
for(int i = 0; i < var_size; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(var_size <= 0, "Must be greater than 0");
}
}
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.steps()[0] < 0.f, "Step x should be greater or equal to 0");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.steps()[1] < 0.f, "Step y should be greater or equal to 0");
if(!info.max_sizes().empty())
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes().size() != info.min_sizes().size(), "Max and min sizes dimensions should match");
}
for(unsigned int i = 0; i < info.max_sizes().size(); ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes()[i] < info.min_sizes()[i], "Max size should be greater than min size");
}
if(output != nullptr && output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(1) != 2);
}
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, const PriorBoxLayerInfo &info, int num_priors)
{
ARM_COMPUTE_UNUSED(input2);
// Output tensor auto initialization if not yet initialized
TensorShape output_shape = compute_prior_box_shape(*input1, info);
auto_init_if_empty(*output, output_shape, 1, input1->data_type());
const unsigned int num_elems_processed_per_iteration = 4 * num_priors;
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
bool window_changed = update_window_and_padding(win, output_access);
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
} // namespace
CLPriorBoxLayerKernel::CLPriorBoxLayerKernel()
: _input1(nullptr), _input2(nullptr), _output(nullptr), _info(), _num_priors(), _min(), _max(), _aspect_ratios()
{
}
void CLPriorBoxLayerKernel::configure(const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min, cl::Buffer *max, cl::Buffer *aspect_ratios)
{
configure(CLKernelLibrary::get().get_compile_context(), input1, input2, output, info, min, max, aspect_ratios);
}
void CLPriorBoxLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, const PriorBoxLayerInfo &info, cl::Buffer *min,
cl::Buffer *max, cl::Buffer *aspect_ratios)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
_input1 = input1;
_input2 = input2;
_output = output;
_info = info;
_min = min;
_max = max;
_aspect_ratios = aspect_ratios;
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input1->info(), input2->info(), output->info(), info));
// Calculate number of aspect ratios
_num_priors = info.aspect_ratios().size() * info.min_sizes().size() + info.max_sizes().size();
const DataLayout data_layout = input1->info()->data_layout();
const int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
const int layer_width = input1->info()->dimension(width_idx);
const int layer_height = input1->info()->dimension(height_idx);
int img_width = info.img_size().x;
int img_height = info.img_size().y;
if(img_width == 0 || img_height == 0)
{
img_width = input2->info()->dimension(width_idx);
img_height = input2->info()->dimension(height_idx);
}
float step_x = info.steps()[0];
float step_y = info.steps()[0];
if(step_x == 0.f || step_y == 0.f)
{
step_x = static_cast<float>(img_width) / layer_width;
step_y = static_cast<float>(img_height) / layer_height;
}
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input1->info()->data_type()));
build_opts.add_option("-DWIDTH=" + support::cpp11::to_string(img_width));
build_opts.add_option("-DHEIGHT=" + support::cpp11::to_string(img_height));
build_opts.add_option("-DLAYER_WIDTH=" + support::cpp11::to_string(layer_width));
build_opts.add_option("-DLAYER_HEIGHT=" + support::cpp11::to_string(layer_height));
build_opts.add_option("-DSTEP_X=" + support::cpp11::to_string(step_x));
build_opts.add_option("-DSTEP_Y=" + support::cpp11::to_string(step_y));
build_opts.add_option("-DNUM_PRIORS=" + support::cpp11::to_string(_num_priors));
build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(info.offset()));
build_opts.add_option_if(info.clip(), "-DIN_PLACE");
if(info.variances().size() > 1)
{
for(unsigned int i = 0; i < info.variances().size(); ++i)
{
build_opts.add_option("-DVARIANCE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(info.variances().at(i)));
}
}
else
{
for(unsigned int i = 0; i < 4; ++i)
{
build_opts.add_option("-DVARIANCE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(info.variances().at(0)));
}
}
unsigned int idx = num_arguments_per_2D_tensor();
_kernel = create_kernel(compile_context, "prior_box_layer_nchw", build_opts.options());
_kernel.setArg(idx++, *_min);
_kernel.setArg(idx++, *_max);
_kernel.setArg(idx++, *_aspect_ratios);
_kernel.setArg<unsigned int>(idx++, info.min_sizes().size());
_kernel.setArg<unsigned int>(idx++, info.max_sizes().size());
_kernel.setArg<unsigned int>(idx++, info.aspect_ratios().size());
// Configure kernel window
auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info(), info, _num_priors);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
ICLKernel::configure_internal(win_config.second);
}
Status CLPriorBoxLayerKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const PriorBoxLayerInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, info));
const int num_priors = info.aspect_ratios().size() * info.min_sizes().size() + info.max_sizes().size();
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get(), info, num_priors)
.first);
return Status{};
}
void CLPriorBoxLayerKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
queue.enqueueWriteBuffer(*_min, CL_TRUE, 0, _info.min_sizes().size() * sizeof(float), _info.min_sizes().data());
queue.enqueueWriteBuffer(*_aspect_ratios, CL_TRUE, 0, _info.aspect_ratios().size() * sizeof(float), _info.aspect_ratios().data());
if(!_info.max_sizes().empty())
{
queue.enqueueWriteBuffer(*_max, CL_TRUE, 0, _info.max_sizes().size() * sizeof(float), _info.max_sizes().data());
}
Window slice = window.first_slice_window_2D();
slice.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 2));
unsigned int idx = 0;
add_2D_tensor_argument(idx, _output, slice);
enqueue(queue, *this, slice, lws_hint());
}
} // namespace arm_compute
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