diff options
Diffstat (limited to 'src/core/CL/kernels/CLPoolingLayerKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLPoolingLayerKernel.cpp | 410 |
1 files changed, 0 insertions, 410 deletions
diff --git a/src/core/CL/kernels/CLPoolingLayerKernel.cpp b/src/core/CL/kernels/CLPoolingLayerKernel.cpp deleted file mode 100644 index cf1d7dd8dd..0000000000 --- a/src/core/CL/kernels/CLPoolingLayerKernel.cpp +++ /dev/null @@ -1,410 +0,0 @@ -/* - * Copyright (c) 2017-2020 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/CLPoolingLayerKernel.h" - -#include "arm_compute/core/AccessWindowStatic.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/ICLKernel.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/Window.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "support/StringSupport.h" - -#include <set> -#include <string> -#include <tuple> - -namespace arm_compute -{ -using namespace arm_compute::misc::shape_calculator; - -namespace -{ -// Internal window config info -using CLPoolingConfig = std::pair<unsigned int, BorderSize>; //num_elems_processed_per_iteration, border_size - -void auto_init(const ITensorInfo *input, ITensorInfo *output, PoolingLayerInfo pool_info) -{ - TensorShape out_shape = compute_pool_shape(*input, pool_info); - auto_init_if_empty(*output, input->clone()->set_tensor_shape(out_shape)); -} - -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(indices, "Indices not supported in the CL backend."); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((is_data_type_quantized_asymmetric(input->data_type()) && pool_info.pool_type == PoolingType::L2), - "Unsupported combination of parameters!"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_quantized(input->data_type()) && !pool_info.exclude_padding && (pool_info.pool_type == PoolingType::AVG) && pool_info.pad_stride_info.has_padding() - && (input->data_layout() == DataLayout::NHWC), - "exclude_padding equal false is not supported for AVG Pooling with padding on quantized types"); - - // Checks performed when output is configured - if(output->total_size() != 0) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); - TensorInfo out_info(TensorInfo(compute_pool_shape(*input, pool_info), 1, output->data_type())); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &out_info); - } - - return Status{}; -} - -std::tuple<Status, Window, CLPoolingConfig> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &pool_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Get data layout - const DataLayout data_layout = pool_info.data_layout == DataLayout::UNKNOWN ? input->data_layout() : pool_info.data_layout; - const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); - - int pool_stride_x = 0; - int pool_stride_y = 0; - unsigned int pooled_w = 0; - unsigned int pooled_h = 0; - int pool_size_x = pool_info.is_global_pooling ? input->dimension(idx_width) : pool_info.pool_size.width; - int pool_size_y = pool_info.is_global_pooling ? input->dimension(idx_height) : pool_info.pool_size.height; - const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; - std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); - const int pool_pad_right = pad_stride_info.pad_right(); - const int pool_pad_top = pad_stride_info.pad_top(); - const int pool_pad_left = pad_stride_info.pad_left(); - const int pool_pad_bottom = pad_stride_info.pad_bottom(); - BorderSize border_size = BorderSize(pool_pad_top, pool_pad_right, pool_pad_bottom, pool_pad_left); - - auto_init(input, output, pool_info); - pooled_w = output->tensor_shape()[idx_width]; - pooled_h = output->tensor_shape()[idx_height]; - - const DataType data_type = input->data_type(); - - const int input_width = input->dimension(idx_width); - const int input_height = input->dimension(idx_height); - - unsigned int num_elems_processed_per_iteration = 0; - bool window_changed = false; - Window win{}; - switch(data_layout) - { - case DataLayout::NCHW: - { - // Change the number of elements processed per iteration - // for pooling 3x3 with stride less equal than 3 - const bool can_optimize = (pool_size_x == 3) && (pool_size_y == 3) && (pool_stride_x <= 3) && !is_data_type_quantized(data_type); - num_elems_processed_per_iteration = can_optimize ? 4 : 1; - const unsigned int num_elems_read_per_iteration = (num_elems_processed_per_iteration - 1) * pool_stride_x + pool_size_x; - - // Number of iterations in X dimension - const int num_iterations_x = (pooled_w + num_elems_processed_per_iteration - 1) / num_elems_processed_per_iteration; - - // Upper limit for the number of right/bottom border elements that are accessed - const int upper_bound_w = ((num_iterations_x - 1) * num_elems_processed_per_iteration * pool_stride_x - pool_pad_left + num_elems_read_per_iteration) - input_width; - const int upper_bound_h = ((pooled_h - 1) * pool_stride_y - pool_pad_top + pool_size_y) - input_height; - - border_size.right = std::max(upper_bound_w, pool_pad_right); - border_size.bottom = std::max(upper_bound_h, pool_pad_bottom); - - win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); - - AccessWindowRectangle input_access(input, -pool_pad_left, -pool_pad_top, num_elems_read_per_iteration, pool_size_y, - pool_stride_x, pool_stride_y); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - window_changed = update_window_and_padding(win, input_access, output_access); - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); - break; - } - case DataLayout::NHWC: - { - num_elems_processed_per_iteration = 8; - win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); - - AccessWindowStatic input_access(input, - 0, -1, - ceil_to_multiple(input->dimension(0), num_elems_processed_per_iteration), input->dimension(1)); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - window_changed = update_window_and_padding(win, input_access, output_access); - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); - break; - } - default: - ARM_COMPUTE_ERROR("Not implemented"); - } - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_tuple(err, win, CLPoolingConfig(num_elems_processed_per_iteration, border_size)); -} -} // namespace - -CLPoolingLayerKernel::CLPoolingLayerKernel() - : _input(nullptr), _output(nullptr), _indices(nullptr), _pool_info(), _data_layout(DataLayout::UNKNOWN), _border_size(0), _num_elems_processed_per_iteration(1) -{ -} - -BorderSize CLPoolingLayerKernel::border_size() const -{ - return _border_size; -} - -void CLPoolingLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, pool_info, indices); -} - -void CLPoolingLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const PoolingLayerInfo &pool_info, ICLTensor *indices) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - - // Set instance variables - _input = input; - _output = output; - _pool_info = pool_info; - _data_layout = pool_info.data_layout == DataLayout::UNKNOWN ? input->info()->data_layout() : pool_info.data_layout; - _indices = indices; - int pool_stride_x = 0; - int pool_stride_y = 0; - const PoolingType pool_type = pool_info.pool_type; - const int idx_width = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH); - const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT); - const int idx_channel = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::CHANNEL); - const int pool_size_x = pool_info.is_global_pooling ? input->info()->dimension(idx_width) : pool_info.pool_size.width; - const int pool_size_y = pool_info.is_global_pooling ? input->info()->dimension(idx_height) : pool_info.pool_size.height; - const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; - const bool exclude_padding = pool_info.exclude_padding; - std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); - const int pool_pad_top = pad_stride_info.pad_top(); - const int pool_pad_left = pad_stride_info.pad_left(); - - // Set build options - CLBuildOptions build_opts; - - if(is_data_type_quantized_asymmetric(input->info()->data_type()) && input->info()->quantization_info() != output->info()->quantization_info()) - { - const UniformQuantizationInfo iq_info = input->info()->quantization_info().uniform(); - const UniformQuantizationInfo oq_info = output->info()->quantization_info().uniform(); - - build_opts.add_option("-DOFFSET_IN1=" + float_to_string_with_full_precision(iq_info.offset)); - build_opts.add_option("-DOFFSET_OUT=" + float_to_string_with_full_precision(oq_info.offset)); - build_opts.add_option("-DSCALE_IN1=" + float_to_string_with_full_precision(iq_info.scale)); - build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oq_info.scale)); - } - - // Check output dimensions - auto_init(input->info(), output->info(), pool_info); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), pool_info, (indices) ? indices->info() : nullptr)); - - const DataType data_type = input->info()->data_type(); - - build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); - build_opts.add_option("-DPOOL_" + string_from_pooling_type(pool_type)); - build_opts.add_option("-DSTRIDE_X=" + support::cpp11::to_string(pool_stride_x)); - build_opts.add_option("-DSTRIDE_Y=" + support::cpp11::to_string(pool_stride_y)); - build_opts.add_option("-DPAD_X=" + support::cpp11::to_string(pool_pad_left)); - build_opts.add_option("-DPAD_Y=" + support::cpp11::to_string(pool_pad_top)); - build_opts.add_option("-DPOOL_SIZE_X=" + support::cpp11::to_string(pool_size_x)); - build_opts.add_option("-DPOOL_SIZE_Y=" + support::cpp11::to_string(pool_size_y)); - - // Set the initial value for the pooling operation accordingly with the data type - if(pool_type == PoolingType::MAX) - { - if(is_data_type_quantized(data_type)) - { - PixelValue type_min{}; - std::tie(type_min, std::ignore) = get_min_max(data_type); - build_opts.add_option("-DINITIAL_VALUE=" + support::cpp11::to_string(type_min.get<int32_t>())); - } - else - { - build_opts.add_option("-DINITIAL_VALUE=" + float_to_string_with_full_precision(std::numeric_limits<float>::lowest())); - } - } - else - { - // Pool AVG and Pool L2 initial value - build_opts.add_option("-DINITIAL_VALUE=0"); - } - - const auto use_fp_mixed_precision = (data_type == DataType::F16) && pool_info.fp_mixed_precision; - const auto use_wider_accumulator = use_fp_mixed_precision && (pool_type != PoolingType::MAX); - const auto acc_data_type = get_cl_type_from_data_type(use_wider_accumulator ? DataType::F32 : data_type); - build_opts.add_option("-DACC_DATA_TYPE=" + acc_data_type); - build_opts.add_option_if(use_wider_accumulator, "-DFP_MIXED_PRECISION"); - - // Create kernel - switch(_data_layout) - { - case DataLayout::NCHW: - { - build_opts.add_option("-DMAX_WIDTH=" + support::cpp11::to_string(input->info()->dimension(idx_width) + (exclude_padding ? 0 : pool_pad_left))); - build_opts.add_option("-DMAX_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(idx_height) + (exclude_padding ? 0 : pool_pad_top))); - if(pool_type != PoolingType::MAX) - { - build_opts.add_option_if(exclude_padding, "-DEXCLUDE_PADDING"); - } - - if((pool_size_x == 3) && (pool_size_y == 3) && !is_data_type_quantized_asymmetric(data_type)) - { - // Check if we have pool3x3 with stride_x less equal than 3. In these cases, run an optimized OpenCL kernel where - // each thread computes 4 output elements - const bool is_pool3x3_stride_le3 = (pool_size_x == 3) && (pool_size_y == 3) && (pool_stride_x <= 3); - - std::string kernel_name = ((is_pool3x3_stride_le3) ? "pooling_layer_optimized_" : "pooling_layer_") - + support::cpp11::to_string(pool_size_x); - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - } - else // Run general case - { - std::string kernel_name = is_data_type_quantized_asymmetric(data_type) ? "pooling_layer_MxN_quantized_nchw" : "pooling_layer_MxN_nchw"; - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - } - break; - } - case DataLayout::NHWC: - { - build_opts.add_option_if(exclude_padding, "-DEXCLUDE_PADDING"); - build_opts.add_option("-DMAX_WIDTH=" + support::cpp11::to_string(input->info()->dimension(idx_width))); - build_opts.add_option("-DMAX_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(idx_height))); - build_opts.add_option_if(output->info()->tensor_shape().total_size_upper(3) > 1, - "-DDST_DEPTH=" + support::cpp11::to_string(output->info()->dimension(idx_height))); - std::string kernel_name = is_data_type_quantized_asymmetric(data_type) ? "pooling_layer_MxN_quantized_nhwc" : "pooling_layer_MxN_nhwc"; - _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); - break; - } - default: - ARM_COMPUTE_ERROR("Not implemented"); - } - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), output->info(), pool_info); - - ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); - ICLKernel::configure_internal(std::get<1>(win_config)); - - if(_data_layout == DataLayout::NCHW) - { - CLPoolingConfig pooling_config = std::get<2>(win_config); - _num_elems_processed_per_iteration = pooling_config.first; - _border_size = pooling_config.second; - } - else - { - _border_size = BorderSize(1, 0, 0, 0); - _num_elems_processed_per_iteration = 8; - } - - // Set config_id for enabling LWS tuning - _config_id = "pooling_layer_"; - _config_id += lower_string(string_from_data_type(data_type)); - _config_id += "_"; - _config_id += lower_string(string_from_data_layout(_data_layout)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(idx_width)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(idx_height)); - _config_id += "_"; - _config_id += support::cpp11::to_string(output->info()->dimension(idx_channel)); - _config_id += "_"; - _config_id += lower_string(string_from_data_layout(input->info()->data_layout())); -} - -Status CLPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info, indices)); - ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), pool_info))); - - return Status{}; -} - -void CLPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - - unsigned int pool_stride_x = 0; - unsigned int pool_stride_y = 0; - std::tie(pool_stride_x, pool_stride_y) = _pool_info.pad_stride_info.stride(); - - // Collapse window - Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); - - switch(_data_layout) - { - case DataLayout::NCHW: - { - Window slice = window_collapsed.first_slice_window_3D(); - do - { - // Upsample input by pool size - Window in_slice(slice); - in_slice.set(Window::DimX, Window::Dimension(in_slice.x().start() - _pool_info.pad_stride_info.pad_left(), - (in_slice.x().end() - _pool_info.pad_stride_info.pad_left()) * pool_stride_x, - pool_stride_x * _num_elems_processed_per_iteration)); - in_slice.set(Window::DimY, Window::Dimension(in_slice.y().start() - _pool_info.pad_stride_info.pad_top(), - (in_slice.y().end() - _pool_info.pad_stride_info.pad_top()) * pool_stride_y, - pool_stride_y)); - - // Set inputs - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, in_slice); - add_3D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(window_collapsed.slide_window_slice_3D(slice)); - break; - } - case DataLayout::NHWC: - { - const size_t total_batches = _output->info()->tensor_shape().total_size_upper(3); - - Window slice = window_collapsed.first_slice_window_4D(); - Window in_slice = window_collapsed.first_slice_window_4D(); - in_slice.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration)); - in_slice.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), pool_stride_x)); - in_slice.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(2), pool_stride_y)); - in_slice.set(3, Window::Dimension(0, total_batches, 1)); - do - { - // Set inputs - unsigned int idx = 0; - add_4D_tensor_argument(idx, _input, in_slice); - add_4D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_4D(slice) && window.slide_window_slice_4D(in_slice)); - break; - } - default: - ARM_COMPUTE_ERROR("Not implemented"); - } -} -} // namespace arm_compute |