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/*
* Copyright (c) 2019-2020 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/CLPadLayerKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "support/StringSupport.h"
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_UNUSED(constant_value);
ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > input->num_dimensions());
if(mode == PaddingMode::REFLECT || mode == PaddingMode::SYMMETRIC)
{
ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 3);
const auto is_reflect = static_cast<unsigned int>(mode == PaddingMode::REFLECT);
for(size_t i = 0; i < padding.size(); ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON(padding.at(i).first > (input->dimension(i) - is_reflect));
ARM_COMPUTE_RETURN_ERROR_ON(padding.at(i).second > (input->dimension(i) - is_reflect));
}
}
if(output->total_size() > 0)
{
TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(output, input);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), padded_shape);
}
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode,
unsigned int &num_elems_processed_per_iteration)
{
ARM_COMPUTE_UNUSED(constant_value, mode);
const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(input->tensor_shape(), padding);
auto_init_if_empty(*output, input->clone()->set_tensor_shape(padded_shape));
num_elems_processed_per_iteration = std::min(16U, 32U / static_cast<unsigned int>(element_size_from_data_type(input->data_type())));
if(input->dimension(0) < num_elems_processed_per_iteration)
{
num_elems_processed_per_iteration = 1 << static_cast<unsigned int>(std::log2(input->dimension(0)));
}
// Configure kernel window
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
const int input_start_x = mode == PaddingMode::CONSTANT ? -(padding.at(0).first % num_elems_processed_per_iteration) : 0;
const int input_start_y = (mode == PaddingMode::CONSTANT && padding.size() > 1) ? -padding.at(1).first : 0;
AccessWindowRectangle input_access(input, input_start_x, input_start_y, num_elems_processed_per_iteration, 1);
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
const bool window_changed = update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
} // namespace
CLPadLayerKernel::CLPadLayerKernel()
: _input(nullptr), _output(nullptr), _input_start_x(0), _input_start_y(0), _4d_enabled(false)
{
}
void CLPadLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, padding, constant_value, mode);
}
void CLPadLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
{
// Perform validation step
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, constant_value, mode));
_input = input;
_output = output;
_4d_enabled = (mode == PaddingMode::CONSTANT) && (padding.size() > 3);
// Configure window
unsigned int vec_size;
auto win_config = validate_and_configure_window(input->info(), output->info(), padding, constant_value, mode, vec_size);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
ICLKernel::configure_internal(win_config.second);
// Set build options
std::string kernel_name = "pad_layer_";
const DataType &data_type = input->info()->data_type();
const unsigned int input_width = input->info()->dimension(0);
const unsigned int input_height = input->info()->dimension(1);
const unsigned int input_depth = input->info()->dimension(2);
const unsigned int pad_x_before = padding.at(0).first;
const unsigned int pad_y_before = padding.size() > 1 ? padding.at(1).first : 0;
const unsigned int pad_z_before = padding.size() > 2 ? padding.at(2).first : 0;
const unsigned int pad_right_start = input_width + pad_x_before;
_input_start_x = mode == PaddingMode::CONSTANT ? -(pad_x_before % vec_size) : 0;
_input_start_y = (mode == PaddingMode::CONSTANT && padding.size() > 1) ? -padding.at(1).first : 0;
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
build_opts.add_option("-DSELECT_DT=" + get_cl_select_type_from_data_type(data_type));
build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size));
build_opts.add_option("-DPAD_X_BEFORE=" + support::cpp11::to_string(pad_x_before));
build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width));
if(padding.size() > 1)
{
build_opts.add_option("-DPAD_Y_BEFORE=" + support::cpp11::to_string(pad_y_before));
build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input_height));
if(padding.size() > 2)
{
build_opts.add_option("-DPAD_Z_BEFORE=" + support::cpp11::to_string(pad_z_before));
build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input_depth));
}
}
switch(mode)
{
case PaddingMode::CONSTANT:
{
kernel_name += "constant";
build_opts.add_option("-DCONST_VAL=" + string_from_pixel_value(constant_value, data_type));
build_opts.add_option_if(pad_x_before >= vec_size, "-DNUM_THREADS_TO_SKIP_X=" + support::cpp11::to_string(pad_x_before / vec_size));
if(_4d_enabled)
{
build_opts.add_option("-DPAD_W_BEFORE=" + support::cpp11::to_string(padding.at(3).first));
build_opts.add_option("-DSRC_BATCH=" + support::cpp11::to_string(input->info()->dimension(3)));
}
break;
}
case PaddingMode::SYMMETRIC:
case PaddingMode::REFLECT:
{
kernel_name += "symmetric_reflect";
const auto is_reflect = static_cast<unsigned int>(mode == PaddingMode::REFLECT);
const unsigned int pad_x_before_remainder = pad_x_before % vec_size;
const unsigned int pad_x_after_remainder = pad_right_start % vec_size;
const unsigned int after_pad_fact_x = (2 * input_width + pad_x_before) - is_reflect;
const unsigned int output_last_x = ceil_to_multiple(pad_right_start + padding.at(0).second, vec_size);
build_opts.add_option("-DIS_REFLECT=" + support::cpp11::to_string(is_reflect));
build_opts.add_option("-DPAD_X_BEFORE_REMAINDER=" + support::cpp11::to_string(pad_x_before_remainder));
build_opts.add_option("-DPAD_X_AFTER_REMAINDER=" + support::cpp11::to_string(pad_x_after_remainder));
build_opts.add_option("-DPAD_X_BEFORE_REMAINDER_REFL=" + support::cpp11::to_string((pad_x_before_remainder + is_reflect) % vec_size));
build_opts.add_option("-DPAD_X_AFTER_REMAINDER_REFL=" + support::cpp11::to_string((pad_x_after_remainder - is_reflect) % vec_size));
build_opts.add_option("-DAFTER_PAD_FACT_X=" + support::cpp11::to_string(after_pad_fact_x));
build_opts.add_option_if(after_pad_fact_x < output_last_x, "-DAFTER_PAD_REM=" + support::cpp11::to_string(after_pad_fact_x % vec_size));
break;
}
default:
ARM_COMPUTE_ERROR("Padding mode not supported.");
}
// Create kernel
_kernel = create_kernel(compile_context, kernel_name, build_opts.options());
}
Status CLPadLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode)
{
unsigned int vec_size;
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, constant_value, mode));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), padding, constant_value, mode, vec_size).first);
return Status{};
}
void CLPadLayerKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
Window win_in = window;
win_in.adjust(Window::DimX, _input_start_x, true);
win_in.adjust(Window::DimY, _input_start_y, true);
Window slice_out = window.first_slice_window_3D();
Window slice_in = win_in.first_slice_window_3D();
unsigned int batch = 0;
do
{
unsigned int idx = 0;
add_3D_tensor_argument(idx, _input, slice_in);
add_3D_tensor_argument(idx, _output, slice_out);
if(_4d_enabled)
{
add_argument<unsigned int>(idx, batch++);
}
enqueue(queue, *this, slice_out, lws_hint());
}
while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in));
}
} // namespace arm_compute
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