diff options
Diffstat (limited to 'src/core/GLES_COMPUTE/kernels')
-rw-r--r-- | src/core/GLES_COMPUTE/kernels/GCScaleKernel.cpp | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCScaleKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCScaleKernel.cpp new file mode 100644 index 0000000000..7461c544da --- /dev/null +++ b/src/core/GLES_COMPUTE/kernels/GCScaleKernel.cpp @@ -0,0 +1,140 @@ +/* + * Copyright (c) 2016, 2017 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/GLES_COMPUTE/kernels/GCScaleKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" +#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" +#include "arm_compute/core/GLES_COMPUTE/IGCKernel.h" +#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" +#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Validate.h" + +#include <set> +#include <string> + +using namespace arm_compute; + +BorderSize GCScaleKernel::border_size() const +{ + return BorderSize(1); +} + +void GCScaleKernel::configure(const IGCTensor *input, IGCTensor *output, InterpolationPolicy policy, bool border_undefined, SamplingPolicy sampling_policy) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16); + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON(output == input); + ARM_COMPUTE_ERROR_ON(policy != InterpolationPolicy::NEAREST_NEIGHBOR); + ARM_COMPUTE_UNUSED(sampling_policy); + + _input = input; + _output = output; + + // Compute the ratio between source width/height and destination width/height + const auto wr = static_cast<float>(input->info()->dimension(0)) / static_cast<float>(output->info()->dimension(0)); + const auto hr = static_cast<float>(input->info()->dimension(1)) / static_cast<float>(output->info()->dimension(1)); + + // Compute actual border size + BorderSize border = border_undefined ? BorderSize(0) : border_size(); + + // Area interpolation behaves as Nearest Neighbour in case of up-sampling + if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) + { + policy = InterpolationPolicy::NEAREST_NEIGHBOR; + } + else + { + ARM_COMPUTE_ERROR_ON(policy == InterpolationPolicy::AREA); + } + + // Create kernel + std::set<std::string> build_opts; + build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1)); + build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1)); + build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1)); + + build_opts.emplace("#define DATA_TYPE_FP16"); + build_opts.emplace("#define BORDER_SIZE " + support::cpp11::to_string(border.right)); + + // Configure kernel window + unsigned int num_elems_processed_per_iteration = 4; + unsigned int input_width_alignment = 2; + + // performance optimization for 2x upscaling with no border + if((fabs(wr - 0.5) < 1e-6) && (fabs(hr - 0.5) < 1e-6) && border_undefined) + { + num_elems_processed_per_iteration = 8; + input_width_alignment = 4; + build_opts.emplace("#define SCALE_NEAREST_8X"); + } + else + { + build_opts.emplace("#define SCALE_NEAREST_GENERIC"); + } + + std::string interpolation_name = string_from_interpolation_policy(policy); // NOLINT + std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower); + std::string kernel_name = "scale_" + interpolation_name; + _kernel = GCKernelLibrary::get().create_kernel(kernel_name, build_opts); + + Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); + + const ValidRegion &input_valid_region = input->info()->valid_region(); + + const int total_width = border.left + input_valid_region.anchor[0] + input_valid_region.shape[0] + border.right; + const int padding_right = ceil_to_multiple(total_width, input_width_alignment) - border.left - input_valid_region.anchor[0] - input_valid_region.shape[0]; + + // Reads can occur within the valid region of the input + AccessWindowStatic input_access(input->info(), + input_valid_region.anchor[0] - border.left, input_valid_region.anchor[1] - border.top, + input_valid_region.anchor[0] + input_valid_region.shape[0] + padding_right, + input_valid_region.anchor[1] + input_valid_region.shape[1] + border.bottom); + + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, input_access, output_access); + + output_access.set_valid_region(win, calculate_valid_region_scale(*(input->info()), + output->info()->tensor_shape(), + policy, + border, + border_undefined)); + + IGCKernel::configure(win); + + // Set static kernel arguments + const float scale_x = static_cast<float>(input->info()->dimension(0)) / output->info()->dimension(0); + const float scale_y = static_cast<float>(input->info()->dimension(1)) / output->info()->dimension(1); + + unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the tensor parameters + _kernel.set_argument<float>(idx++, static_cast<float>(input->info()->dimension(0))); + _kernel.set_argument<float>(idx++, static_cast<float>(input->info()->dimension(1))); + _kernel.set_argument(idx++, scale_x); + _kernel.set_argument(idx++, scale_y); +} |