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Diffstat (limited to 'src/core/CL/CLKernelLibrary.cpp')
| -rw-r--r-- | src/core/CL/CLKernelLibrary.cpp | 597 |
1 files changed, 597 insertions, 0 deletions
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp new file mode 100644 index 0000000000..15a5d90835 --- /dev/null +++ b/src/core/CL/CLKernelLibrary.cpp @@ -0,0 +1,597 @@ +/* + * 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/CL/CLKernelLibrary.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Utils.h" + +#include <fstream> +#include <iostream> +#include <utility> +#include <vector> + +using namespace arm_compute; + +Program::Program() + : _context(), _device(), _is_binary(false), _name(), _source(), _binary() +{ +} + +Program::Program(cl::Context context, std::string name, std::string source) + : _context(std::move(context)), _device(), _is_binary(false), _name(std::move(name)), _source(std::move(source)), _binary() +{ +} + +Program::Program(cl::Context context, cl::Device device, std::string name, std::vector<unsigned char> binary) + : _context(std::move(context)), _device(std::move(device)), _is_binary(true), _name(std::move(name)), _source(), _binary(std::move(binary)) +{ +} + +Program::operator cl::Program() const +{ + if(_is_binary) + { + return cl::Program(_context, { _device }, { _binary }); + } + else + { + return cl::Program(_context, _source, false); + } +} + +bool Program::build(const cl::Program &program, const std::string &build_options) +{ + try + { + return program.build(build_options.c_str()) == CL_SUCCESS; + } + catch(const cl::Error &e) + { + cl_int err = CL_SUCCESS; + const auto build_info = program.getBuildInfo<CL_PROGRAM_BUILD_LOG>(&err); + + for(auto &pair : build_info) + { + std::cerr << pair.second << std::endl; + } + + return false; + } +} + +cl::Program Program::build(const std::string &build_options) const +{ + cl::Program cl_program = static_cast<cl::Program>(*this); + build(cl_program, build_options); + return cl_program; +} + +Kernel::Kernel() + : _name(), _kernel() +{ +} + +Kernel::Kernel(std::string name, const cl::Program &program) + : _name(std::move(name)), + _kernel(cl::Kernel(program, _name.c_str())) +{ +} + +const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map = +{ + { "absdiff", "absdiff.cl" }, + { "accumulate", "accumulate.cl" }, + { "accumulate_squared", "accumulate.cl" }, + { "accumulate_weighted", "accumulate.cl" }, + { "activation_layer", "activation_layer.cl" }, + { "arithmetic_add", "arithmetic_op.cl" }, + { "arithmetic_sub", "arithmetic_op.cl" }, + { "bitwise_or", "bitwise_op.cl" }, + { "bitwise_and", "bitwise_op.cl" }, + { "bitwise_xor", "bitwise_op.cl" }, + { "bitwise_not", "bitwise_op.cl" }, + { "channel_combine_NV", "channel_combine.cl" }, + { "channel_combine_RGB888", "channel_combine.cl" }, + { "channel_combine_RGBA8888", "channel_combine.cl" }, + { "channel_combine_UYVY422", "channel_combine.cl" }, + { "channel_combine_YUYV422", "channel_combine.cl" }, + { "channel_extract_NV12", "channel_extract.cl" }, + { "channel_extract_NV21", "channel_extract.cl" }, + { "channel_extract_RGB888", "channel_extract.cl" }, + { "channel_extract_RGBA8888", "channel_extract.cl" }, + { "channel_extract_UYVY422", "channel_extract.cl" }, + { "channel_extract_YUYV422", "channel_extract.cl" }, + { "combine_gradients_L1", "canny.cl" }, + { "combine_gradients_L2", "canny.cl" }, + { "concatenate_depth", "concatenate.cl" }, + { "convolution_rectangle", "convolution_rectangle.cl" }, + { "col2im", "convolution_layer.cl" }, + { "convolution3x3_static", "convolution3x3.cl" }, + { "convolution5x5_static", "convolution5x5.cl" }, + { "convolution7x7_static", "convolution7x7.cl" }, + { "convolution9x9_static", "convolution9x9.cl" }, + { "convolution_separable1x5_static", "convolution5x5.cl" }, + { "convolution_separable5x1_static", "convolution5x5.cl" }, + { "convolution_separable1x7_static", "convolution7x7.cl" }, + { "convolution_separable7x1_static", "convolution7x7.cl" }, + { "convolution_separable1x9_static", "convolution9x9.cl" }, + { "convolution_separable9x1_static", "convolution9x9.cl" }, + { "convert_depth_down", "depth_convert.cl" }, + { "convert_depth_up", "depth_convert.cl" }, + { "copy_plane", "channel_extract.cl" }, + { "copy_planes_3p", "channel_combine.cl" }, + { "copy_to_keypoint", "fast_corners.cl" }, + { "derivative", "derivative.cl" }, + { "dilate", "dilate.cl" }, + { "erode", "erode.cl" }, + { "fast_corners", "fast_corners.cl" }, + { "fill_image_borders_constant", "fill_border.cl" }, + { "fill_image_borders_replicate", "fill_border.cl" }, + { "finalize", "optical_flow_pyramid_lk.cl" }, + { "gaussian1x5_sub_x", "gaussian_pyramid.cl" }, + { "gaussian5x1_sub_y", "gaussian_pyramid.cl" }, + { "gemm_accumulate_biases_f16", "gemm.cl" }, + { "gemm_accumulate_biases_f32", "gemm.cl" }, + { "gemm_interleave4x4_8bit", "gemm.cl" }, + { "gemm_interleave4x4_16bit", "gemm.cl" }, + { "gemm_interleave4x4_32bit", "gemm.cl" }, + { "gemm_ma_f16", "gemm.cl" }, + { "gemm_ma_f32", "gemm.cl" }, + { "gemm_mm_u8", "gemm.cl" }, + { "gemm_mm_f16", "gemm.cl" }, + { "gemm_mm_f32_midgard", "gemm.cl" }, + { "gemm_mm_f32_bifrost", "gemm.cl" }, + { "gemm_vm_f16", "gemm.cl" }, + { "gemm_vm_f32", "gemm.cl" }, + { "gemm_lc_vm_f32", "gemm.cl" }, + { "gemm_transpose1x16_u8", "gemm.cl" }, + { "gemm_transpose1x8_f16", "gemm.cl" }, + { "gemm_transpose1x4_f32", "gemm.cl" }, + { "harris_score_3x3", "harris_corners.cl" }, + { "harris_score_5x5", "harris_corners.cl" }, + { "harris_score_7x7", "harris_corners.cl" }, + { "hist_border_kernel", "histogram.cl" }, + { "hist_border_kernel_fixed", "histogram.cl" }, + { "hist_local_kernel", "histogram.cl" }, + { "hist_local_kernel_fixed", "histogram.cl" }, + { "hog_block_normalization", "hog.cl" }, + { "hog_detector", "hog.cl" }, + { "hog_orientation_binning", "hog.cl" }, + { "hysteresis", "canny.cl" }, + { "im2col_generic", "convolution_layer.cl" }, + { "im2col_reduced", "convolution_layer.cl" }, + { "init_level", "optical_flow_pyramid_lk.cl" }, + { "init_level_max", "optical_flow_pyramid_lk.cl" }, + { "init_level_max_initial_estimate", "optical_flow_pyramid_lk.cl" }, + { "integral_horizontal", "integral_image.cl" }, + { "integral_vertical", "integral_image.cl" }, + { "IYUV_to_NV12_bt709", "color_convert.cl" }, + { "IYUV_to_RGB888_bt709", "color_convert.cl" }, + { "IYUV_to_RGBA8888_bt709", "color_convert.cl" }, + { "IYUV_to_YUV444_bt709", "color_convert.cl" }, + { "lktracker_stage0", "optical_flow_pyramid_lk.cl" }, + { "lktracker_stage1", "optical_flow_pyramid_lk.cl" }, + { "magnitude_phase", "magnitude_phase.cl" }, + { "mean_stddev_accumulate", "mean_stddev.cl" }, + { "minmax", "minmaxloc.cl" }, + { "minmax_border", "minmaxloc.cl" }, + { "minmaxloc", "minmaxloc.cl" }, + { "non_linear_filter_box3x3", "non_linear_filter3x3.cl" }, + { "non_linear_filter_cross3x3", "non_linear_filter3x3.cl" }, + { "non_linear_filter_disk3x3", "non_linear_filter3x3.cl" }, + { "non_linear_filter_box5x5", "non_linear_filter5x5.cl" }, + { "non_linear_filter_cross5x5", "non_linear_filter5x5.cl" }, + { "non_linear_filter_disk5x5", "non_linear_filter5x5.cl" }, + { "non_max_suppression", "nonmax.cl" }, + { "normalization_layer_cross_map", "normalization_layer.cl" }, + { "normalization_layer_in_map_1D", "normalization_layer.cl" }, + { "batchnormalization_layer", "batchnormalization_layer.cl" }, + { "NV12_to_IYUV_bt709", "color_convert.cl" }, + { "NV12_to_RGB888_bt709", "color_convert.cl" }, + { "NV12_to_RGBA8888_bt709", "color_convert.cl" }, + { "NV12_to_YUV444_bt709", "color_convert.cl" }, + { "NV21_to_IYUV_bt709", "color_convert.cl" }, + { "NV21_to_RGB888_bt709", "color_convert.cl" }, + { "NV21_to_RGBA8888_bt709", "color_convert.cl" }, + { "NV21_to_YUV444_bt709", "color_convert.cl" }, + { "pixelwise_mul_float", "pixelwise_mul_float.cl" }, + { "pixelwise_mul_int", "pixelwise_mul_int.cl" }, + { "pooling_layer_2", "pooling_layer.cl" }, + { "pooling_layer_3", "pooling_layer.cl" }, + { "remap_nearest_neighbour", "remap.cl" }, + { "remap_bilinear", "remap.cl" }, + { "reshape_to_columns", "convolution_layer.cl" }, + { "RGB888_to_IYUV_bt709", "color_convert.cl" }, + { "RGB888_to_NV12_bt709", "color_convert.cl" }, + { "RGB888_to_RGBA8888_bt709", "color_convert.cl" }, + { "RGB888_to_YUV444_bt709", "color_convert.cl" }, + { "RGBA8888_to_IYUV_bt709", "color_convert.cl" }, + { "RGBA8888_to_NV12_bt709", "color_convert.cl" }, + { "RGBA8888_to_RGB888_bt709", "color_convert.cl" }, + { "RGBA8888_to_YUV444_bt709", "color_convert.cl" }, + { "scale_nearest_neighbour", "scale.cl" }, + { "scale_bilinear", "scale.cl" }, + { "scharr3x3", "scharr_filter.cl" }, + { "sobel3x3", "sobel_filter.cl" }, + { "sobel_separable5x1", "sobel_filter.cl" }, + { "sobel_separable1x5", "sobel_filter.cl" }, + { "sobel_separable7x1", "sobel_filter.cl" }, + { "sobel_separable1x7", "sobel_filter.cl" }, + { "softmax_layer_max", "softmax_layer.cl" }, + { "softmax_layer_shift_exp_sum", "softmax_layer.cl" }, + { "softmax_layer_norm", "softmax_layer.cl" }, + { "suppress_non_maximum", "canny.cl" }, + { "tablelookup_U8", "tablelookup.cl" }, + { "tablelookup_S16", "tablelookup.cl" }, + { "threshold_binary", "threshold.cl" }, + { "threshold_range", "threshold.cl" }, + { "transpose", "transpose.cl" }, + { "UYVY422_to_IYUV_bt709", "color_convert.cl" }, + { "UYVY422_to_NV12_bt709", "color_convert.cl" }, + { "UYVY422_to_RGB888_bt709", "color_convert.cl" }, + { "UYVY422_to_RGBA8888_bt709", "color_convert.cl" }, + { "warp_affine_nearest_neighbour", "warp_affine.cl" }, + { "warp_affine_bilinear", "warp_affine.cl" }, + { "warp_perspective_nearest_neighbour", "warp_perspective.cl" }, + { "warp_perspective_bilinear", "warp_perspective.cl" }, + { "YUYV422_to_IYUV_bt709", "color_convert.cl" }, + { "YUYV422_to_NV12_bt709", "color_convert.cl" }, + { "YUYV422_to_RGB888_bt709", "color_convert.cl" }, + { "YUYV422_to_RGBA8888_bt709", "color_convert.cl" }, +}; + +const std::map<std::string, std::string> CLKernelLibrary::_program_source_map = +{ +#ifdef EMBEDDED_KERNELS + { + "absdiff.cl", +#include "./cl_kernels/absdiff.clembed" + }, + { + "accumulate.cl", +#include "./cl_kernels/accumulate.clembed" + }, + { + "activation_layer.cl", +#include "./cl_kernels/activation_layer.clembed" + }, + { + "arithmetic_op.cl", +#include "./cl_kernels/arithmetic_op.clembed" + }, + { + "bitwise_op.cl", +#include "./cl_kernels/bitwise_op.clembed" + }, + { + "canny.cl", +#include "./cl_kernels/canny.clembed" + }, + { + "channel_combine.cl", +#include "./cl_kernels/channel_combine.clembed" + }, + { + "channel_extract.cl", +#include "./cl_kernels/channel_extract.clembed" + }, + { + "concatenate.cl", +#include "./cl_kernels/concatenate.clembed" + }, + { + "color_convert.cl", +#include "./cl_kernels/color_convert.clembed" + }, + { + "convolution3x3.cl", +#include "./cl_kernels/convolution3x3.clembed" + }, + { + "convolution5x5.cl", +#include "./cl_kernels/convolution5x5.clembed" + }, + { + "convolution7x7.cl", +#include "./cl_kernels/convolution7x7.clembed" + }, + { + "convolution9x9.cl", +#include "./cl_kernels/convolution9x9.clembed" + }, + { + "convolution_layer.cl", +#include "./cl_kernels/convolution_layer.clembed" + }, + { + "convolution_rectangle.cl", +#include "./cl_kernels/convolution_rectangle.clembed" + }, + { + "depth_convert.cl", +#include "./cl_kernels/depth_convert.clembed" + }, + { + "derivative.cl", +#include "./cl_kernels/derivative.clembed" + }, + { + "dilate.cl", +#include "./cl_kernels/dilate.clembed" + }, + { + "erode.cl", +#include "./cl_kernels/erode.clembed" + }, + { + "fast_corners.cl", +#include "./cl_kernels/fast_corners.clembed" + }, + { + "fill_border.cl", +#include "./cl_kernels/fill_border.clembed" + }, + { + "gaussian_pyramid.cl", +#include "./cl_kernels/gaussian_pyramid.clembed" + }, + { + "gemm.cl", +#include "./cl_kernels/gemm.clembed" + }, + { + "harris_corners.cl", +#include "./cl_kernels/harris_corners.clembed" + }, + { + "helpers.h", +#include "./cl_kernels/helpers.hembed" + }, + { + "histogram.cl", +#include "./cl_kernels/histogram.clembed" + }, + { + "hog.cl", +#include "./cl_kernels/hog.clembed" + }, + { + "integral_image.cl", +#include "./cl_kernels/integral_image.clembed" + }, + { + "magnitude_phase.cl", +#include "./cl_kernels/magnitude_phase.clembed" + }, + { + "mean_stddev.cl", +#include "./cl_kernels/mean_stddev.clembed" + }, + { + "minmaxloc.cl", +#include "./cl_kernels/minmaxloc.clembed" + }, + { + "non_linear_filter3x3.cl", +#include "./cl_kernels/non_linear_filter3x3.clembed" + }, + { + "non_linear_filter5x5.cl", +#include "./cl_kernels/non_linear_filter5x5.clembed" + }, + { + "non_linear_filter_helpers.h", +#include "./cl_kernels/non_linear_filter_helpers.hembed" + }, + { + "nonmax.cl", +#include "./cl_kernels/nonmax.clembed" + }, + { + "normalization_layer.cl", +#include "./cl_kernels/normalization_layer.clembed" + }, + { + "batchnormalization_layer.cl", +#include "./cl_kernels/batchnormalization_layer.clembed" + }, + { + "optical_flow_pyramid_lk.cl", +#include "./cl_kernels/optical_flow_pyramid_lk.clembed" + }, + { + "pixelwise_mul_float.cl", +#include "./cl_kernels/pixelwise_mul_float.clembed" + }, + { + "pixelwise_mul_int.cl", +#include "./cl_kernels/pixelwise_mul_int.clembed" + }, + { + "pooling_layer.cl", +#include "./cl_kernels/pooling_layer.clembed" + }, + { + "remap.cl", +#include "./cl_kernels/remap.clembed" + }, + { + "scale.cl", +#include "./cl_kernels/scale.clembed" + }, + { + "scharr_filter.cl", +#include "./cl_kernels/scharr_filter.clembed" + }, + { + "sobel_filter.cl", +#include "./cl_kernels/sobel_filter.clembed" + }, + { + "softmax_layer.cl", +#include "./cl_kernels/softmax_layer.clembed" + }, + { + "tablelookup.cl", +#include "./cl_kernels/tablelookup.clembed" + }, + { + "threshold.cl", +#include "./cl_kernels/threshold.clembed" + }, + { + "transpose.cl", +#include "./cl_kernels/transpose.clembed" + }, + { + "types.h", +#include "./cl_kernels/types.hembed" + }, + { + "warp_affine.cl", +#include "./cl_kernels/warp_affine.clembed" + }, + { + "warp_helpers.h", +#include "./cl_kernels/warp_helpers.hembed" + }, + { + "warp_perspective.cl", +#include "./cl_kernels/warp_perspective.clembed" + } +#endif +}; + +CLKernelLibrary::CLKernelLibrary() + : _context(), _device(), _kernel_path("."), _programs_map(), _built_programs_map() +{ +} + +CLKernelLibrary &CLKernelLibrary::get() +{ + static CLKernelLibrary _kernel_library; + return _kernel_library; +} + +Kernel CLKernelLibrary::create_kernel(const std::string &kernel_name, const StringSet &build_options_set) const +{ + // Find which program contains the kernel + auto kernel_program_it = _kernel_program_map.find(kernel_name); + + if(_kernel_program_map.end() == kernel_program_it) + { + ARM_COMPUTE_ERROR("Kernel %s not found in the CLKernelLibrary", kernel_name.c_str()); + } + + // Check if the program has been built before with same build options. + const std::string program_name = kernel_program_it->second; + const std::string build_options = stringify_set(build_options_set); + const std::string built_program_name = program_name + "_" + build_options; + auto built_program_it = _built_programs_map.find(built_program_name); + + cl::Program cl_program; + + if(_built_programs_map.end() != built_program_it) + { + // If program has been built, retrieve to create kernel from it + cl_program = built_program_it->second; + } + else + { + // Get program + Program program = load_program(program_name); + + // Build program + cl_program = program.build(build_options); + + // Add built program to internal map + _built_programs_map.emplace(built_program_name, cl_program); + } + + // Create and return kernel + return Kernel(kernel_name, cl_program); +} + +const Program &CLKernelLibrary::load_program(const std::string &program_name) const +{ + const auto program_it = _programs_map.find(program_name); + + if(program_it != _programs_map.end()) + { + return program_it->second; + } + + Program program; + +#ifdef EMBEDDED_KERNELS + const auto program_source_it = _program_source_map.find(program_name); + + if(_program_source_map.end() == program_source_it) + { + ARM_COMPUTE_ERROR("Embedded program for %s does not exist.", program_name.c_str()); + } + + program = Program(_context, program_name, program_source_it->second); +#else + // Check for binary + std::string source_name = _kernel_path + program_name; + std::string binary_name = source_name + "bin"; + + if(std::ifstream(binary_name).is_open()) + { + const std::string program_binary = read_file(binary_name, true); + program = Program(_context, _device, program_name, std::vector<unsigned char>(program_binary.begin(), program_binary.end())); + } + else if(std::ifstream(source_name).is_open()) + { + program = Program(_context, program_name, read_file(source_name, false)); + } + else + { + ARM_COMPUTE_ERROR("Kernel file %s does not exist.", source_name.c_str()); + } +#endif + + // Insert program to program map + const auto new_program = _programs_map.emplace(program_name, std::move(program)); + + return new_program.first->second; +} + +std::string CLKernelLibrary::stringify_set(const StringSet &s) const +{ + std::string concat_set = "-cl-arm-non-uniform-work-group-size "; + +#ifndef EMBEDDED_KERNELS + concat_set += "-I" + _kernel_path + " "; +#endif /* EMBEDDED_KERNELS */ + + // Concatenate set + for(const auto &el : s) + { + concat_set += " " + el; + } + + return concat_set; +} |