diff options
| -rw-r--r-- | Android.bp | 1 | ||||
| -rw-r--r-- | arm_compute/core/CL/CLHelpers.h | 11 | ||||
| -rw-r--r-- | arm_compute/core/CL/CLKernelLibrary.h | 7 | ||||
| -rw-r--r-- | src/core/CL/CLHelpers.cpp | 30 | ||||
| -rw-r--r-- | src/core/CL/CLKernelLibrary.cpp | 905 | ||||
| -rw-r--r-- | src/core/gpu/cl/ClKernelLibrary.cpp | 941 | ||||
| -rw-r--r-- | src/core/gpu/cl/ClKernelLibrary.h | 95 |
7 files changed, 1064 insertions, 926 deletions
diff --git a/Android.bp b/Android.bp index 1354b365e4..543f5ab123 100644 --- a/Android.bp +++ b/Android.bp @@ -354,6 +354,7 @@ cc_library_static { "src/core/cpu/kernels/sub/neon/qasymm8.cpp", "src/core/cpu/kernels/sub/neon/qasymm8_signed.cpp", "src/core/cpu/kernels/sub/neon/qsymm16.cpp", + "src/core/gpu/cl/ClKernelLibrary.cpp", "src/core/gpu/cl/kernels/ClActivationKernel.cpp", "src/core/gpu/cl/kernels/ClBatchConcatenateKernel.cpp", "src/core/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp", diff --git a/arm_compute/core/CL/CLHelpers.h b/arm_compute/core/CL/CLHelpers.h index 03f956f6f8..a9ac6a5933 100644 --- a/arm_compute/core/CL/CLHelpers.h +++ b/arm_compute/core/CL/CLHelpers.h @@ -38,7 +38,6 @@ namespace arm_compute { -class CLCoreRuntimeContext; class CLCompileContext; class CLBuildOptions; @@ -202,16 +201,6 @@ bool preferred_dummy_work_items_support(const cl::Device &device); */ bool image2d_from_buffer_supported(const cl::Device &device); -/** Creates an opencl kernel - * - * @param[in] ctx A context to be used to create the opencl kernel. - * @param[in] kernel_name The kernel name. - * @param[in] build_opts The build options to be used for the opencl kernel compilation. - * - * @return An opencl kernel - */ -cl::Kernel create_opencl_kernel(CLCoreRuntimeContext *ctx, const std::string &kernel_name, const CLBuildOptions &build_opts); - /** Creates an opencl kernel using a compile context * * @param[in] ctx A compile context to be used to create the opencl kernel. diff --git a/arm_compute/core/CL/CLKernelLibrary.h b/arm_compute/core/CL/CLKernelLibrary.h index 24eef639ae..527733ccf1 100644 --- a/arm_compute/core/CL/CLKernelLibrary.h +++ b/arm_compute/core/CL/CLKernelLibrary.h @@ -170,12 +170,7 @@ public: CLCompileContext &get_compile_context(); private: - CLCompileContext _compile_context; /**< Compile Context. */ - std::string _kernel_path; /**< Path to the kernels folder. */ - mutable std::map<std::string, std::string> _decompressed_source_map; /**< Map holding the decompressed files when compression is used */ - static const std::map<std::string, std::string> _kernel_program_map; /**< Map that associates kernel names with programs. */ - static const std::map<std::string, std::string> _program_source_map; /**< Contains sources for all programs. - Used for compile-time kernel inclusion. >*/ + CLCompileContext _compile_context; /**< Compile Context. */ }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLKERNELLIBRARY_H */ diff --git a/src/core/CL/CLHelpers.cpp b/src/core/CL/CLHelpers.cpp index aff897738a..6af378c7ab 100644 --- a/src/core/CL/CLHelpers.cpp +++ b/src/core/CL/CLHelpers.cpp @@ -22,12 +22,13 @@ * SOFTWARE. */ #include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLCoreRuntimeContext.h" -#include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/CLTypes.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Log.h" #include "arm_compute/core/Types.h" +#include "src/core/gpu/cl/ClCompileContext.h" + +#include "src/core/gpu/cl/ClKernelLibrary.h" #include <utility> #include <vector> @@ -386,26 +387,15 @@ size_t get_cl_image_pitch_alignment(const cl::Device &device) } } -cl::Kernel create_opencl_kernel(CLCoreRuntimeContext *ctx, const std::string &kernel_name, const CLBuildOptions &build_opts) -{ - if(ctx && ctx->kernel_library()) - { - // New api going through the core context - return static_cast<cl::Kernel>(ctx->kernel_library()->create_kernel(kernel_name, build_opts.options())); - } - else - { - // Legacy code through the singleton - return static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); - } -} - cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set<std::string> &build_opts) { - const std::string program_name = CLKernelLibrary::get().get_program_name(kernel_name); - std::pair<std::string, bool> kernel_src = CLKernelLibrary::get().get_program(program_name); - const std::string kernel_path = CLKernelLibrary::get().get_kernel_path(); - return static_cast<cl::Kernel>(ctx.create_kernel(kernel_name, program_name, kernel_src.first, kernel_path, build_opts, kernel_src.second)); + opencl::ClKernelLibrary &klib = opencl::ClKernelLibrary::get(); + + const std::string program_name = klib.program_name(kernel_name); + auto kernel_src = klib.program(program_name); + const std::string kernel_path = klib.kernel_path(); + + return static_cast<cl::Kernel>(ctx.create_kernel(kernel_name, program_name, kernel_src.program, kernel_path, build_opts, kernel_src.is_binary)); } cl::NDRange create_lws_hint_parallel_implementations(unsigned int input_dimension, unsigned int vector_size) diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp index bb059bbc26..bbd4009389 100644 --- a/src/core/CL/CLKernelLibrary.cpp +++ b/src/core/CL/CLKernelLibrary.cpp @@ -23,10 +23,8 @@ */ #include "arm_compute/core/CL/CLKernelLibrary.h" -#include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/Error.h" -#include "arm_compute/core/Utils.h" -#include "support/StringSupport.h" +#include "src/core/gpu/cl/ClKernelLibrary.h" #include <algorithm> #include <array> @@ -34,829 +32,10 @@ #include <utility> #include <vector> -#ifdef ARM_COMPUTE_COMPRESSED_KERNELS -#include <zlib.h> - -namespace -{ -/* Decoding table */ -constexpr std::array<uint8_t, 256> b64_invtab = -{ - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, 63, - 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 0, 0, 0, 0, 0, 0, - 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, - 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 0, 0, 0, 0, 0, - 0, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, - 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -}; - -/** Decode a base64 encoded string - * - * @param[in] str Base64 encoded string to decode - * - * @return The decode string in case of a valid, non-empty string otherwise an empty string - */ -std::string decode_base64(const std::string &str) -{ - constexpr const char pad_char = '='; - - // Handle empty string - if(str.empty()) - { - return {}; - } - - // Base64 encoded string has size multiple of 4 - if(str.length() % 4) - { - return {}; - } - - // - // Check encoded string padding - std::size_t padding = (str.rbegin()[0] == pad_char) + (str.rbegin()[1] == pad_char); - const int str_len = str.size(); - - // Reserve memory for the decoded string - // Note each 4 consecutive elements of 6-bit encode 3 bytes - std::string dec_b64; - dec_b64.reserve(((str_len / 4) * 3)); - - // Block decoding function (exclude padding) - int c = 0; - const int end = str_len - 4 - padding; - for(; c <= end; c += 4) - { - const int byte0 = b64_invtab[str[c]]; - const int byte1 = b64_invtab[str[c + 1]]; - const int byte2 = b64_invtab[str[c + 2]]; - const int byte3 = b64_invtab[str[c + 3]]; - - dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); - dec_b64.push_back((byte1 << 4) | (byte2 >> 2)); - dec_b64.push_back((byte2 << 6) | (byte3)); - } - - // Last step that might contain padding symbols - if(padding == 1) - { - const int byte0 = b64_invtab[str[c]]; - const int byte1 = b64_invtab[str[c + 1]]; - const int byte2 = b64_invtab[str[c + 2]]; - - dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); - dec_b64.push_back((byte1 << 4) | (byte2 >> 2)); - } - else if(padding == 2) - { - const int byte0 = b64_invtab[str[c]]; - const int byte1 = b64_invtab[str[c + 1]]; - - dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); - } - - return dec_b64; -} - -/** Decompress a zlib compressed string - * - * @param[in] str ZLib compressed string - * - * @return The decompressed string if successful, otherwise false. - */ -std::string decompress_zlib(const std::string &str) -{ - // Create and initialize decompression stream - z_stream ds{}; - if(inflateInit(&ds) != Z_OK) - { - return std::string(); - } - ds.avail_in = str.size(); - ds.next_in = (Bytef *)str.data(); - - // Roll-over the string using a buffer and decompress - int status = Z_OK; - char roll_buff[16384]; - std::string inflated_str; - do - { - ds.avail_out = sizeof(roll_buff); - ds.next_out = reinterpret_cast<Bytef *>(roll_buff); - - status = inflate(&ds, 0); - if(inflated_str.size() < ds.total_out) - { - inflated_str.append(roll_buff, ds.total_out - inflated_str.size()); - } - } - while(status == Z_OK); - - // Finalize decompression stream - inflateEnd(&ds); - if(status != Z_STREAM_END) - { - return std::string(); - } - - return inflated_str; -} -} // namespace -#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ - -using namespace arm_compute; -const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map = -{ - { "activation_layer", "activation_layer.cl" }, - { "activation_layer_quant", "activation_layer_quant.cl" }, - { "activation_layer_quant_f32", "activation_layer_quant.cl" }, - { "arg_min_max_x", "arg_min_max.cl" }, - { "arg_min_max_y", "arg_min_max.cl" }, - { "arg_min_max_z", "arg_min_max.cl" }, - { "arg_min_max_w", "arg_min_max.cl" }, - { "batch_to_space_nchw", "batch_to_space.cl" }, - { "batch_to_space_static_nchw", "batch_to_space.cl" }, - { "batch_to_space_nhwc", "batch_to_space.cl" }, - { "batch_to_space_static_nhwc", "batch_to_space.cl" }, - { "batchnormalization_layer_nchw", "batchnormalization_layer.cl" }, - { "batchnormalization_layer_nhwc", "batchnormalization_layer.cl" }, - { "bitwise_or", "bitwise_op.cl" }, - { "bitwise_and", "bitwise_op.cl" }, - { "bitwise_xor", "bitwise_op.cl" }, - { "bitwise_not", "bitwise_op.cl" }, - { "bounding_box_transform", "bounding_box_transform.cl" }, - { "bounding_box_transform_quantized", "bounding_box_transform_quantized.cl" }, - { "channel_shuffle_nchw", "channel_shuffle.cl" }, - { "channel_shuffle_nhwc", "channel_shuffle.cl" }, - { "compare_equal", "comparisons.cl" }, - { "compare_equal_quantized", "comparisons.cl" }, - { "compare_notequal", "comparisons.cl" }, - { "compare_notequal_quantized", "comparisons.cl" }, - { "compare_greater", "comparisons.cl" }, - { "compare_greater_quantized", "comparisons.cl" }, - { "compare_greaterequal", "comparisons.cl" }, - { "compare_greaterequal_quantized", "comparisons.cl" }, - { "compare_less", "comparisons.cl" }, - { "compare_less_quantized", "comparisons.cl" }, - { "compare_lessequal", "comparisons.cl" }, - { "compare_lessequal_quantized", "comparisons.cl" }, - { "concatenate", "concatenate.cl" }, - { "concatenate_width", "concatenate.cl" }, - { "concatenate_height", "concatenate.cl" }, - { "concatenate_width_x2", "concatenate.cl" }, - { "concatenate_width_x4", "concatenate.cl" }, - { "col2im", "col2im.cl" }, - { "convert_depth_down", "depth_convert.cl" }, - { "convert_depth_up", "depth_convert.cl" }, - { "convert_fc_weights", "convert_fc_weights.cl" }, - { "copy_tensor", "copy_tensor.cl" }, - { "crop_tensor", "crop_tensor.cl" }, - { "deconvolution_reshape", "deconvolution_layer.cl" }, - { "deconvolution_upsample", "deconvolution_layer.cl" }, - { "depthwise_convolution_3x3", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_f16", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_nhwc", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_nhwc_stride1", "depthwise_convolution.cl" }, - { "dwc_MxN_native_fp_nhwc", "depthwise_convolution.cl" }, - { "dwc_MxN_native_quantized8_nhwc", "depthwise_convolution_quantized.cl" }, - { "dwc_3x3_native_quantized8_nchw", "depthwise_convolution_quantized.cl" }, - { "dwc_3x3_native_quantized8_dot8_nchw", "depthwise_convolution_quantized.cl" }, - { "depth_to_space_nchw", "depth_to_space.cl" }, - { "depth_to_space_nhwc", "depth_to_space.cl" }, - { "depthwise_convolution_3x3_stridex1_stridey1_f16", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_stridex2_stridey2_f16", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_stridex1_stridey1_f32", "depthwise_convolution.cl" }, - { "depthwise_convolution_3x3_stridex2_stridey2_f32", "depthwise_convolution.cl" }, - { "dequantization_layer", "dequantization_layer.cl" }, - { "dequantization_layer_per_channel_nhwc", "dequantization_layer.cl" }, - { "dequantization_layer_per_channel_nchw", "dequantization_layer.cl" }, - { "direct_convolution_nhwc", "direct_convolution.cl" }, - { "direct_convolution1x1", "direct_convolution1x1.cl" }, - { "direct_convolution1x1_f32_bifrost", "direct_convolution1x1.cl" }, - { "direct_convolution3x3", "direct_convolution3x3.cl" }, - { "direct_convolution3x3_f32_bifrost", "direct_convolution3x3.cl" }, - { "direct_convolution5x5", "direct_convolution5x5.cl" }, - { "direct_convolution5x5_f32_bifrost", "direct_convolution5x5.cl" }, - { "direct_convolution_quantized", "direct_convolution_quantized.cl" }, - { "elementwise_operation_ADD", "elementwise_operation.cl" }, - { "elementwise_operation_SUB", "elementwise_operation.cl" }, - { "elementwise_operation_MAX", "elementwise_operation.cl" }, - { "elementwise_operation_MIN", "elementwise_operation.cl" }, - { "elementwise_operation_DIV", "elementwise_operation.cl" }, - { "elementwise_operation_SQUARED_DIFF", "elementwise_operation.cl" }, - { "elementwise_operation_POWER", "elementwise_operation.cl" }, - { "elementwise_operation_PRELU", "elementwise_operation.cl" }, - { "elementwise_operation_AND", "elementwise_operation.cl" }, - { "elementwise_operation_OR", "elementwise_operation.cl" }, - { "elementwise_operation_ADD_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_SUB_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_MAX_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_MIN_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_DIV_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_SQUARED_DIFF_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_operation_PRELU_quantized", "elementwise_operation_quantized.cl" }, - { "elementwise_unary", "elementwise_unary.cl" }, - { "fft_digit_reverse_axis_0", "fft_digit_reverse.cl" }, - { "fft_digit_reverse_axis_1", "fft_digit_reverse.cl" }, - { "fft_radix_2_first_stage_axis_0", "fft.cl" }, - { "fft_radix_2_first_stage_axis_1", "fft.cl" }, - { "fft_radix_2_axis_0", "fft.cl" }, - { "fft_radix_2_axis_1", "fft.cl" }, - { "fft_radix_3_first_stage_axis_0", "fft.cl" }, - { "fft_radix_3_first_stage_axis_1", "fft.cl" }, - { "fft_radix_3_axis_0", "fft.cl" }, - { "fft_radix_3_axis_1", "fft.cl" }, - { "fft_radix_4_first_stage_axis_0", "fft.cl" }, - { "fft_radix_4_first_stage_axis_1", "fft.cl" }, - { "fft_radix_4_axis_0", "fft.cl" }, - { "fft_radix_4_axis_1", "fft.cl" }, - { "fft_radix_5_first_stage_axis_0", "fft.cl" }, - { "fft_radix_5_first_stage_axis_1", "fft.cl" }, - { "fft_radix_5_axis_0", "fft.cl" }, - { "fft_radix_5_axis_1", "fft.cl" }, - { "fft_radix_7_first_stage_axis_0", "fft.cl" }, - { "fft_radix_7_first_stage_axis_1", "fft.cl" }, - { "fft_radix_7_axis_0", "fft.cl" }, - { "fft_radix_7_axis_1", "fft.cl" }, - { "fft_radix_8_first_stage_axis_0", "fft.cl" }, - { "fft_radix_8_first_stage_axis_1", "fft.cl" }, - { "fft_radix_8_axis_0", "fft.cl" }, - { "fft_radix_8_axis_1", "fft.cl" }, - { "fft_scale_conj", "fft_scale.cl" }, - { "fill_image_borders_constant", "fill_border.cl" }, - { "fill_image_borders_replicate", "fill_border.cl" }, - { "floor_layer", "floor.cl" }, - { "fuse_batchnormalization_layer", "batchnormalization_layer.cl" }, - { "gather", "gather.cl" }, - { "gemm_ma_f16", "gemm.cl" }, - { "gemm_ma_f32", "gemm.cl" }, - { "gemm_mv", "gemv.cl" }, - { "gemm_mv_quantized", "gemv.cl" }, - { "gemm_mm_interleaved_transposed_f16", "gemm_v1.cl" }, - { "gemm_mm_interleaved_transposed_f16_acc32", "gemm_v1.cl" }, - { "gemm_mm_interleaved_transposed_f16_bifrost", "gemm_v1.cl" }, - { "gemm_mm_interleaved_transposed_f32", "gemm_v1.cl" }, - { "gemm_mm_interleaved_transposed_f32_bifrost", "gemm_v1.cl" }, - { "gemm_mm_floating_point", "gemm_v1.cl" }, - { "gemm_mm_floating_point_f16_bifrost", "gemm_v1.cl" }, - { "gemm_mm_floating_point_f16_bifrost_acc32", "gemm_v1.cl" }, - { "gemm_mm_floating_point_f32_bifrost", "gemm_v1.cl" }, - { "gemm_mm_floating_point_f32_bifrost_1000", "gemm_v1.cl" }, - { "gemm_mm_native", "gemm.cl" }, - { "gemm_mm_reshaped_lhs_nt_rhs_t", "gemm.cl" }, - { "gemm_mm_reshaped_lhs_nt_rhs_t_texture", "gemm.cl" }, - { "gemm_mm_reshaped_lhs_t_rhs_nt", "gemm.cl" }, - { "gemm_mm_reshaped_lhs_t_rhs_nt_texture", "gemm.cl" }, - { "gemm_mm_reshaped_only_rhs_nt", "gemm.cl" }, - { "gemm_mm_reshaped_only_rhs_nt_texture", "gemm.cl" }, - { "gemm_mm_reshaped_only_rhs_t", "gemm.cl" }, - { "gemm_mm_reshaped_only_rhs_t_texture", "gemm.cl" }, - { "gemm_lc_vm_f32", "gemm.cl" }, - { "gemm_reshape_lhs_matrix_nt", "gemm.cl" }, - { "gemm_reshape_lhs_matrix_t", "gemm.cl" }, - { "gemm_reshape_rhs_matrix_nt", "gemm.cl" }, - { "gemm_reshape_rhs_matrix_t", "gemm.cl" }, - { "gemmlowp_matrix_a_reduction", "gemmlowp.cl" }, - { "gemmlowp_matrix_a_reduction_dot8", "gemmlowp.cl" }, - { "gemmlowp_matrix_b_reduction", "gemmlowp.cl" }, - { "gemmlowp_mm_native", "gemmlowp.cl" }, - { "gemmlowp_mm_reshaped_lhs_nt_rhs_t", "gemmlowp.cl" }, - { "gemmlowp_mm_reshaped_only_rhs_t", "gemmlowp.cl" }, - { "gemmlowp_mm_reshaped_only_rhs_t_fused_output_stage_fixedpoint", "gemmlowp.cl" }, - { "gemmlowp_offset_contribution", "gemmlowp.cl" }, - { "gemmlowp_offset_contribution_quantize_down", "gemmlowp.cl" }, - { "gemmlowp_offset_contribution_quantize_down_fixedpoint", "gemmlowp.cl" }, - { "gemmlowp_output_stage_quantize_down", "gemmlowp.cl" }, - { "gemmlowp_output_stage_quantize_down_fixedpoint", "gemmlowp.cl" }, - { "gemmlowp_output_stage_quantize_down_fixedpoint_qsymm16", "gemmlowp.cl" }, - { "gemmlowp_output_stage_quantize_down_float", "gemmlowp.cl" }, - { "generate_proposals_compute_all_anchors", "generate_proposals.cl" }, - { "generate_proposals_compute_all_anchors_quantized", "generate_proposals_quantized.cl" }, - { "im2col1x1_stridex1_nchw", "im2col.cl" }, - { "im2col3x3_nchw", "im2col.cl" }, - { "im2col5x5_nchw", "im2col.cl" }, - { "im2col11x11_padx0_pady0_nchw", "im2col.cl" }, - { "im2col_generic_nchw", "im2col.cl" }, - { "im2col_generic_padx0_pady0_nchw", "im2col.cl" }, - { "im2col3x3_nhwc", "im2col.cl" }, - { "im2col9x9_nhwc", "im2col.cl" }, - { "im2col_generic_nhwc", "im2col.cl" }, - { "instance_normalization", "instance_normalization.cl" }, - { "compute_mean_var", "instance_normalization.cl" }, - { "l2_normalize_x", "l2_normalize.cl" }, - { "l2_normalize_y", "l2_normalize.cl" }, - { "l2_normalize_z", "l2_normalize.cl" }, - { "max_unpooling_layer_2", "unpooling_layer.cl" }, - { "mean_stddev_normalization", "mean_stddev_normalization.cl" }, - { "memset", "memset.cl" }, - { "minmax_layer", "minmax_layer.cl" }, - { "non_max_suppression", "nonmax.cl" }, - { "normalization_layer_cross_map_nchw", "normalization_layer.cl" }, - { "normalization_layer_cross_map_nhwc", "normalization_layer.cl" }, - { "normalization_layer_in_map_nchw", "normalization_layer.cl" }, - { "normalization_layer_in_map_nhwc", "normalization_layer.cl" }, - { "normalize_planar_yuv_layer_nchw", "normalize_planar_yuv_layer.cl" }, - { "normalize_planar_yuv_layer_nhwc", "normalize_planar_yuv_layer.cl" }, - { "normalize_planar_yuv_layer_q8_nchw", "normalize_planar_yuv_layer_quantized.cl" }, - { "normalize_planar_yuv_layer_q8_nhwc", "normalize_planar_yuv_layer_quantized.cl" }, - { "pad_layer_constant", "pad_layer.cl" }, - { "pad_layer_symmetric_reflect", "pad_layer.cl" }, - { "permute", "permute.cl" }, - { "pixelwise_mul_complex", "pixelwise_mul_float.cl" }, - { "pixelwise_mul_float", "pixelwise_mul_float.cl" }, - { "pixelwise_mul_int", "pixelwise_mul_int.cl" }, - { "pixelwise_mul_quantized", "pixelwise_mul_int.cl" }, - { "pooling_layer_2", "pooling_layer.cl" }, - { "pooling_layer_3", "pooling_layer.cl" }, - { "pooling_layer_optimized_3", "pooling_layer.cl" }, - { "pooling_layer_7", "pooling_layer.cl" }, - { "pooling_layer_MxN_nchw", "pooling_layer.cl" }, - { "pooling_layer_MxN_nhwc", "pooling_layer.cl" }, - { "pooling_layer_2x2_nhwc", "pooling_layer.cl" }, - { "pooling_layer_2_nchw_indices_fp32", "pooling_layer.cl" }, - { "pooling_layer_2_nchw_indices_fp16", "pooling_layer.cl" }, - { "pooling_layer_MxN_quantized_nhwc", "pooling_layer_quantized.cl" }, - { "pooling_layer_MxN_quantized_nchw", "pooling_layer_quantized.cl" }, - { "prior_box_layer_nchw", "prior_box_layer.cl" }, - { "qlstm_layer_normalization", "qlstm_layer_normalization.cl" }, - { "quantization_layer", "quantization_layer.cl" }, - { "range", "range.cl" }, - { "range_quantized", "range.cl" }, - { "reduction_operation_x", "reduction_operation.cl" }, - { "reduction_operation_non_parallel_x", "reduction_operation.cl" }, - { "reduction_operation_y", "reduction_operation.cl" }, - { "reduction_operation_z", "reduction_operation.cl" }, - { "reduction_operation_w", "reduction_operation.cl" }, - { "remap_nearest_neighbour", "remap.cl" }, - { "remap_bilinear", "remap.cl" }, - { "reorg_layer_nchw", "reorg_layer.cl" }, - { "reorg_layer_nhwc", "reorg_layer.cl" }, - { "reshape_layer", "reshape_layer.cl" }, - { "reshape_to_columns", "convolution_layer.cl" }, - { "reverse", "reverse.cl" }, - { "roi_align_layer", "roi_align_layer.cl" }, - { "roi_align_layer_quantized", "roi_align_layer_quantized.cl" }, - { "roi_pooling_layer", "roi_pooling_layer.cl" }, - { "scale_nearest_neighbour_nchw", "scale.cl" }, - { "scale_nearest_neighbour_nhwc", "scale.cl" }, - { "scale_bilinear_nchw", "scale.cl" }, - { "scale_bilinear_nhwc", "scale.cl" }, - { "scale_bilinear_quantized_nchw", "scale_quantized.cl" }, - { "scale_bilinear_quantized_nhwc", "scale_quantized.cl" }, - { "select_same_rank", "select.cl" }, - { "select_different_rank_2", "select.cl" }, - { "select_different_rank_n", "select.cl" }, - { "softmax_layer_norm", "softmax_layer.cl" }, - { "softmax_layer_norm_quantized", "softmax_layer_quantized.cl" }, - { "softmax_layer_max_shift_exp_sum_quantized_serial", "softmax_layer_quantized.cl" }, - { "softmax_layer_max_shift_exp_sum_quantized_parallel", "softmax_layer_quantized.cl" }, - { "softmax_layer_max_shift_exp_sum_serial", "softmax_layer.cl" }, - { "space_to_batch_nchw", "space_to_batch.cl" }, - { "space_to_batch_static_nchw", "space_to_batch.cl" }, - { "space_to_batch_nhwc", "space_to_batch.cl" }, - { "space_to_batch_static_nhwc", "space_to_batch.cl" }, - { "space_to_depth_nchw", "space_to_depth.cl" }, - { "space_to_depth_nhwc", "space_to_depth.cl" }, - { "softmax_layer_max_shift_exp_sum_parallel", "softmax_layer.cl" }, - { "stack_layer", "stack_layer.cl" }, - { "strided_slice", "slice_ops.cl" }, - { "tile", "tile.cl" }, - { "transpose", "transpose.cl" }, - { "upsample_layer_nchw", "upsample_layer.cl" }, - { "upsample_layer_nhwc", "upsample_layer.cl" }, - { "winograd_filter_transform_2x2_3x3_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_2x1_3x1_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x2_1x3_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x4_3x3_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x1_3x1_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x4_1x3_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x4_5x5_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x1_5x1_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x4_1x5_nchw", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x1_3x1_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x4_1x3_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x4_3x3_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x4_5x5_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_4x1_5x1_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x4_1x5_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_2x2_7x7_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_2x1_7x1_nhwc", "winograd_filter_transform.cl" }, - { "winograd_filter_transform_1x2_1x7_nhwc", "winograd_filter_transform.cl" }, - { "winograd_input_transform_2x2_3x3_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_2x2_3x3_stepz2_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_2x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_2x1_3x1_stepz2_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x2_1x3_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x2_1x3_stepz2_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x4_3x3_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x4_1x3_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x4_5x5_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x1_5x1_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x4_1x5_stepz1_nchw", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x1_3x1_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x4_1x3_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x4_3x3_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x4_5x5_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_4x1_5x1_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x4_1x5_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_2x2_7x7_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_2x1_7x1_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_input_transform_1x2_1x7_stepz1_nhwc", "winograd_input_transform.cl" }, - { "winograd_output_transform_2x2_3x3_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_2x1_3x1_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x2_1x3_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x4_3x3_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x1_3x1_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x4_1x3_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x4_5x5_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x1_5x1_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x4_1x5_nchw", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x1_3x1_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x4_1x3_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x4_3x3_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x4_5x5_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_4x1_5x1_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x4_1x5_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_2x2_7x7_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_2x1_7x1_nhwc", "winograd_output_transform.cl" }, - { "winograd_output_transform_1x2_1x7_nhwc", "winograd_output_transform.cl" }, -}; - -const std::map<std::string, std::string> CLKernelLibrary::_program_source_map = +namespace arm_compute { -#ifdef EMBEDDED_KERNELS - { - "activation_layer.cl", -#include "./cl_kernels/activation_layer.clembed" - }, - { - "activation_layer_quant.cl", -#include "./cl_kernels/activation_layer_quant.clembed" - }, - { - "arg_min_max.cl", -#include "./cl_kernels/arg_min_max.clembed" - }, - { - "batch_to_space.cl", -#include "./cl_kernels/batch_to_space.clembed" - }, - { - "bitwise_op.cl", -#include "./cl_kernels/bitwise_op.clembed" - }, - { - "bounding_box_transform.cl", -#include "./cl_kernels/bounding_box_transform.clembed" - }, - { - "bounding_box_transform_quantized.cl", -#include "./cl_kernels/bounding_box_transform_quantized.clembed" - }, - { - "channel_shuffle.cl", -#include "./cl_kernels/channel_shuffle.clembed" - }, - { - "col2im.cl", -#include "./cl_kernels/col2im.clembed" - }, - { - "comparisons.cl", -#include "./cl_kernels/comparisons.clembed" - }, - { - "concatenate.cl", -#include "./cl_kernels/concatenate.clembed" - }, - { - "convert_fc_weights.cl", -#include "./cl_kernels/convert_fc_weights.clembed" - }, - { - "convolution_layer.cl", -#include "./cl_kernels/convolution_layer.clembed" - }, - { - "copy_tensor.cl", -#include "./cl_kernels/copy_tensor.clembed" - }, - { - "crop_tensor.cl", -#include "./cl_kernels/crop_tensor.clembed" - }, - { - "upsample_layer.cl", -#include "./cl_kernels/upsample_layer.clembed" - }, - { - "deconvolution_layer.cl", -#include "./cl_kernels/deconvolution_layer.clembed" - }, - { - "depth_convert.cl", -#include "./cl_kernels/depth_convert.clembed" - }, - { - "depth_to_space.cl", -#include "./cl_kernels/depth_to_space.clembed" - }, - { - "depthwise_convolution.cl", -#include "./cl_kernels/depthwise_convolution.clembed" - }, - { - "depthwise_convolution_quantized.cl", -#include "./cl_kernels/depthwise_convolution_quantized.clembed" - }, - { - "dequantization_layer.cl", -#include "./cl_kernels/dequantization_layer.clembed" - }, - { - "direct_convolution1x1.cl", -#include "./cl_kernels/direct_convolution1x1.clembed" - }, - { - "direct_convolution3x3.cl", -#include "./cl_kernels/direct_convolution3x3.clembed" - }, - { - "direct_convolution5x5.cl", -#include "./cl_kernels/direct_convolution5x5.clembed" - }, - { - "direct_convolution_quantized.cl", -#include "./cl_kernels/direct_convolution_quantized.clembed" - }, - { - "direct_convolution.cl", -#include "./cl_kernels/direct_convolution.clembed" - }, - { - "elementwise_operation.cl", -#include "./cl_kernels/elementwise_operation.clembed" - }, - { - "elementwise_operation_quantized.cl", -#include "./cl_kernels/elementwise_operation_quantized.clembed" - }, - { - "elementwise_unary.cl", -#include "./cl_kernels/elementwise_unary.clembed" - }, - { - "fft.cl", -#include "./cl_kernels/fft.clembed" - }, - { - "fft_digit_reverse.cl", -#include "./cl_kernels/fft_digit_reverse.clembed" - }, - { - "fft_scale.cl", -#include "./cl_kernels/fft_scale.clembed" - }, - { - "fill_border.cl", -#include "./cl_kernels/fill_border.clembed" - }, - { - "floor.cl", -#include "./cl_kernels/floor.clembed" - }, - { - "gather.cl", -#include "./cl_kernels/gather.clembed" - }, - { - "gemm.cl", -#include "./cl_kernels/gemm.clembed" - }, - { - "gemm_v1.cl", -#include "./cl_kernels/gemm_v1.clembed" - }, - { - "gemmlowp.cl", -#include "./cl_kernels/gemmlowp.clembed" - }, - { - "gemv.cl", -#include "./cl_kernels/gemv.clembed" - }, - { - "generate_proposals.cl", -#include "./cl_kernels/generate_proposals.clembed" - }, - { - "generate_proposals_quantized.cl", -#include "./cl_kernels/generate_proposals_quantized.clembed" - }, - { - "helpers.h", -#include "./cl_kernels/helpers.hembed" - }, - { - "helpers_asymm.h", -#include "./cl_kernels/helpers_asymm.hembed" - }, - { - "im2col.cl", -#include "./cl_kernels/im2col.clembed" - }, - { - "instance_normalization.cl", -#include "./cl_kernels/instance_normalization.clembed" - }, - { - "l2_normalize.cl", -#include "./cl_kernels/l2_normalize.clembed" - }, - { - "mean_stddev_normalization.cl", -#include "./cl_kernels/mean_stddev_normalization.clembed" - }, - { - "memset.cl", -#include "./cl_kernels/memset.clembed" - }, - { - "minmax_layer.cl", -#include "./cl_kernels/minmax_layer.clembed" - }, - { - "nonmax.cl", -#include "./cl_kernels/nonmax.clembed" - }, - { - "normalization_layer.cl", -#include "./cl_kernels/normalization_layer.clembed" - }, - { - "normalize_planar_yuv_layer.cl", -#include "./cl_kernels/normalize_planar_yuv_layer.clembed" - }, - { - "normalize_planar_yuv_layer_quantized.cl", -#include "./cl_kernels/normalize_planar_yuv_layer_quantized.clembed" - }, - { - "batchnormalization_layer.cl", -#include "./cl_kernels/batchnormalization_layer.clembed" - }, - { - "pad_layer.cl", -#include "./cl_kernels/pad_layer.clembed" - }, - { - "permute.cl", -#include "./cl_kernels/permute.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" - }, - { - "pooling_layer_quantized.cl", -#include "./cl_kernels/pooling_layer_quantized.clembed" - }, - { - "prior_box_layer.cl", -#include "./cl_kernels/prior_box_layer.clembed" - }, - { - "qlstm_layer_normalization.cl", -#include "./cl_kernels/qlstm_layer_normalization.clembed" - }, - { - "quantization_layer.cl", -#include "./cl_kernels/quantization_layer.clembed" - }, - { - "range.cl", -#include "./cl_kernels/range.clembed" - }, - { - "reduction_operation.cl", -#include "./cl_kernels/reduction_operation.clembed" - }, - { - "remap.cl", -#include "./cl_kernels/remap.clembed" - }, - { - "reorg_layer.cl", -#include "./cl_kernels/reorg_layer.clembed" - }, - { - "reshape_layer.cl", -#include "./cl_kernels/reshape_layer.clembed" - }, - { - "reverse.cl", -#include "./cl_kernels/reverse.clembed" - }, - { - "roi_align_layer.cl", -#include "./cl_kernels/roi_align_layer.clembed" - }, - { - "roi_align_layer_quantized.cl", -#include "./cl_kernels/roi_align_layer_quantized.clembed" - }, - { - "roi_pooling_layer.cl", -#include "./cl_kernels/roi_pooling_layer.clembed" - }, - { - "scale.cl", -#include "./cl_kernels/scale.clembed" - }, - { - "scale_quantized.cl", -#include "./cl_kernels/scale_quantized.clembed" - }, - { - "select.cl", -#include "./cl_kernels/select.clembed" - }, - { - "softmax_layer.cl", -#include "./cl_kernels/softmax_layer.clembed" - }, - { - "softmax_layer_quantized.cl", -#include "./cl_kernels/softmax_layer_quantized.clembed" - }, - { - "slice_ops.cl", -#include "./cl_kernels/slice_ops.clembed" - }, - { - "space_to_batch.cl", -#include "./cl_kernels/space_to_batch.clembed" - }, - { - "space_to_depth.cl", -#include "./cl_kernels/space_to_depth.clembed" - }, - { - "stack_layer.cl", -#include "./cl_kernels/stack_layer.clembed" - }, - { - "tile.cl", -#include "./cl_kernels/tile.clembed" - }, - { - "transpose.cl", -#include "./cl_kernels/transpose.clembed" - }, - { - "types.h", -#include "./cl_kernels/types.hembed" - }, - { - "unpooling_layer.cl", -#include "./cl_kernels/unpooling_layer.clembed" - }, - { - "winograd_filter_transform.cl", -#include "./cl_kernels/winograd_filter_transform.clembed" - }, - { - "winograd_input_transform.cl", -#include "./cl_kernels/winograd_input_transform.clembed" - }, - { - "winograd_output_transform.cl", -#include "./cl_kernels/winograd_output_transform.clembed" - }, -#endif /* EMBEDDED_KERNELS */ -}; - CLKernelLibrary::CLKernelLibrary() - : _compile_context(), _kernel_path(), _decompressed_source_map() + : _compile_context() { opencl_is_available(); // Make sure the OpenCL symbols are initialised *before* the CLKernelLibrary is built } @@ -869,37 +48,29 @@ CLKernelLibrary &CLKernelLibrary::get() Kernel CLKernelLibrary::create_kernel(const std::string &kernel_name, const std::set<std::string> &build_options_set) const { - const std::string program_name = get_program_name(kernel_name); - auto program = get_program(program_name); + const opencl::ClKernelLibrary &klib = opencl::ClKernelLibrary::get(); + + const std::string program_name = klib.program_name(kernel_name); + auto program = klib.program(program_name); + const std::string &kernel_path = CLKernelLibrary::get().get_kernel_path(); - return _compile_context.create_kernel(kernel_name, program_name, program.first, _kernel_path, build_options_set, program.second); + return _compile_context.create_kernel(kernel_name, program_name, program.program, kernel_path, build_options_set, program.is_binary); } std::string CLKernelLibrary::get_program_name(const std::string &kernel_name) 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_VAR("Kernel %s not found in the CLKernelLibrary", kernel_name.c_str()); - } - - const std::string program_name = kernel_program_it->second; - - return program_name; + return opencl::ClKernelLibrary::get().program_name(kernel_name); } void CLKernelLibrary::init(std::string kernel_path, cl::Context context, cl::Device device) { _compile_context = CLCompileContext(context, device); - _kernel_path = kernel_path + "/"; + opencl::ClKernelLibrary::get().set_kernel_path(kernel_path); } void CLKernelLibrary::set_kernel_path(const std::string &kernel_path) { - _kernel_path = std::move(kernel_path); - _kernel_path += "/"; + opencl::ClKernelLibrary::get().set_kernel_path(kernel_path); } cl::Context &CLKernelLibrary::context() @@ -924,7 +95,7 @@ void CLKernelLibrary::set_context(cl::Context context) std::string CLKernelLibrary::get_kernel_path() { - return _kernel_path; + return opencl::ClKernelLibrary::get().kernel_path(); } void CLKernelLibrary::clear_programs_cache() @@ -959,53 +130,8 @@ bool CLKernelLibrary::is_wbsm_supported() std::pair<std::string, bool> CLKernelLibrary::get_program(const std::string &program_name) const { -#ifdef EMBEDDED_KERNELS -#ifdef ARM_COMPUTE_COMPRESSED_KERNELS - const auto inflatted_program_source_it = _decompressed_source_map.find(program_name); - if(inflatted_program_source_it != _decompressed_source_map.end()) - { - return std::make_pair(inflatted_program_source_it->second, false); - } -#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ - - const auto program_source_it = _program_source_map.find(program_name); - if(program_source_it == _program_source_map.end()) - { - ARM_COMPUTE_ERROR_VAR("Embedded program for %s does not exist.", program_name.c_str()); - } - std::string program_source = program_source_it->second; - -#ifdef ARM_COMPUTE_COMPRESSED_KERNELS - std::string decompressed_program_source = decompress_zlib(decode_base64(program_source_it->second)); - ARM_COMPUTE_ERROR_ON_MSG(decompressed_program_source.empty(), "Cannot de-compress requested program"); - _decompressed_source_map.insert(std::make_pair(program_name, decompressed_program_source)); - program_source = std::move(decompressed_program_source); -#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ - - return std::make_pair(program_source, false); -#else /* EMBEDDED_KERNELS */ - // Check for binary - std::string source_name = _kernel_path + program_name; - std::string binary_name = source_name + "bin"; - std::string program_source{}; - bool is_binary = false; - - if(std::ifstream(binary_name).is_open()) - { - program_source = read_file(binary_name, true); - is_binary = true; - } - else if(std::ifstream(source_name).is_open()) - { - program_source = read_file(source_name, false); - } - else - { - ARM_COMPUTE_ERROR_VAR("Kernel file %s does not exist.", source_name.c_str()); - } - - return std::make_pair(program_source, is_binary); -#endif /* EMBEDDED_KERNELS */ + auto program_info = opencl::ClKernelLibrary::get().program(program_name); + return std::make_pair(std::move(program_info.program), program_info.is_binary); } size_t CLKernelLibrary::max_local_workgroup_size(const cl::Kernel &kernel) const @@ -1032,3 +158,4 @@ CLCompileContext &CLKernelLibrary::get_compile_context() { return _compile_context; } +} // namespace arm_compute diff --git a/src/core/gpu/cl/ClKernelLibrary.cpp b/src/core/gpu/cl/ClKernelLibrary.cpp new file mode 100644 index 0000000000..286ed4c021 --- /dev/null +++ b/src/core/gpu/cl/ClKernelLibrary.cpp @@ -0,0 +1,941 @@ +/* + * Copyright (c) 2016-2021 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 "src/core/gpu/cl/ClKernelLibrary.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Utils.h" + +#include <algorithm> +#include <array> +#include <fstream> +#include <utility> + +#ifdef ARM_COMPUTE_COMPRESSED_KERNELS +#include <zlib.h> + +namespace +{ +/* Decoding table */ +constexpr std::array<uint8_t, 256> b64_invtab = +{ + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62, 0, 0, 0, 63, + 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 0, 0, 0, 0, 0, 0, + 0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, + 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 0, 0, 0, 0, 0, + 0, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, + 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, +}; + +/** Decode a base64 encoded string + * + * @param[in] str Base64 encoded string to decode + * + * @return The decode string in case of a valid, non-empty string otherwise an empty string + */ +std::string decode_base64(const std::string &str) +{ + constexpr const char pad_char = '='; + + // Handle empty string + if(str.empty()) + { + return {}; + } + + // Base64 encoded string has size multiple of 4 + if(str.length() % 4) + { + return {}; + } + + // + // Check encoded string padding + std::size_t padding = (str.rbegin()[0] == pad_char) + (str.rbegin()[1] == pad_char); + const int str_len = str.size(); + + // Reserve memory for the decoded string + // Note each 4 consecutive elements of 6-bit encode 3 bytes + std::string dec_b64; + dec_b64.reserve(((str_len / 4) * 3)); + + // Block decoding function (exclude padding) + int c = 0; + const int end = str_len - 4 - padding; + for(; c <= end; c += 4) + { + const int byte0 = b64_invtab[str[c]]; + const int byte1 = b64_invtab[str[c + 1]]; + const int byte2 = b64_invtab[str[c + 2]]; + const int byte3 = b64_invtab[str[c + 3]]; + + dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); + dec_b64.push_back((byte1 << 4) | (byte2 >> 2)); + dec_b64.push_back((byte2 << 6) | (byte3)); + } + + // Last step that might contain padding symbols + if(padding == 1) + { + const int byte0 = b64_invtab[str[c]]; + const int byte1 = b64_invtab[str[c + 1]]; + const int byte2 = b64_invtab[str[c + 2]]; + + dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); + dec_b64.push_back((byte1 << 4) | (byte2 >> 2)); + } + else if(padding == 2) + { + const int byte0 = b64_invtab[str[c]]; + const int byte1 = b64_invtab[str[c + 1]]; + + dec_b64.push_back((byte0 << 2) | (byte1 >> 4)); + } + + return dec_b64; +} + +/** Decompress a zlib compressed string + * + * @param[in] str ZLib compressed string + * + * @return The decompressed string if successful, otherwise false. + */ +std::string decompress_zlib(const std::string &str) +{ + // Create and initialize decompression stream + z_stream ds{}; + if(inflateInit(&ds) != Z_OK) + { + return std::string(); + } + ds.avail_in = str.size(); + ds.next_in = (Bytef *)str.data(); + + // Roll-over the string using a buffer and decompress + int status = Z_OK; + char roll_buff[16384]; + std::string inflated_str; + do + { + ds.avail_out = sizeof(roll_buff); + ds.next_out = reinterpret_cast<Bytef *>(roll_buff); + + status = inflate(&ds, 0); + if(inflated_str.size() < ds.total_out) + { + inflated_str.append(roll_buff, ds.total_out - inflated_str.size()); + } + } + while(status == Z_OK); + + // Finalize decompression stream + inflateEnd(&ds); + if(status != Z_STREAM_END) + { + return std::string(); + } + + return inflated_str; +} +} // namespace +#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ + +namespace arm_compute +{ +namespace opencl +{ +const std::map<std::string, std::string> ClKernelLibrary::_kernel_program_map = +{ + { "activation_layer", "activation_layer.cl" }, + { "activation_layer_quant", "activation_layer_quant.cl" }, + { "activation_layer_quant_f32", "activation_layer_quant.cl" }, + { "arg_min_max_x", "arg_min_max.cl" }, + { "arg_min_max_y", "arg_min_max.cl" }, + { "arg_min_max_z", "arg_min_max.cl" }, + { "arg_min_max_w", "arg_min_max.cl" }, + { "batch_to_space_nchw", "batch_to_space.cl" }, + { "batch_to_space_static_nchw", "batch_to_space.cl" }, + { "batch_to_space_nhwc", "batch_to_space.cl" }, + { "batch_to_space_static_nhwc", "batch_to_space.cl" }, + { "batchnormalization_layer_nchw", "batchnormalization_layer.cl" }, + { "batchnormalization_layer_nhwc", "batchnormalization_layer.cl" }, + { "bitwise_or", "bitwise_op.cl" }, + { "bitwise_and", "bitwise_op.cl" }, + { "bitwise_xor", "bitwise_op.cl" }, + { "bitwise_not", "bitwise_op.cl" }, + { "bounding_box_transform", "bounding_box_transform.cl" }, + { "bounding_box_transform_quantized", "bounding_box_transform_quantized.cl" }, + { "channel_shuffle_nchw", "channel_shuffle.cl" }, + { "channel_shuffle_nhwc", "channel_shuffle.cl" }, + { "compare_equal", "comparisons.cl" }, + { "compare_equal_quantized", "comparisons.cl" }, + { "compare_notequal", "comparisons.cl" }, + { "compare_notequal_quantized", "comparisons.cl" }, + { "compare_greater", "comparisons.cl" }, + { "compare_greater_quantized", "comparisons.cl" }, + { "compare_greaterequal", "comparisons.cl" }, + { "compare_greaterequal_quantized", "comparisons.cl" }, + { "compare_less", "comparisons.cl" }, + { "compare_less_quantized", "comparisons.cl" }, + { "compare_lessequal", "comparisons.cl" }, + { "compare_lessequal_quantized", "comparisons.cl" }, + { "concatenate", "concatenate.cl" }, + { "concatenate_width", "concatenate.cl" }, + { "concatenate_height", "concatenate.cl" }, + { "concatenate_width_x2", "concatenate.cl" }, + { "concatenate_width_x4", "concatenate.cl" }, + { "col2im", "col2im.cl" }, + { "convert_depth_down", "depth_convert.cl" }, + { "convert_depth_up", "depth_convert.cl" }, + { "convert_fc_weights", "convert_fc_weights.cl" }, + { "copy_tensor", "copy_tensor.cl" }, + { "crop_tensor", "crop_tensor.cl" }, + { "deconvolution_reshape", "deconvolution_layer.cl" }, + { "deconvolution_upsample", "deconvolution_layer.cl" }, + { "depthwise_convolution_3x3", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_f16", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_nhwc", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_nhwc_stride1", "depthwise_convolution.cl" }, + { "dwc_MxN_native_fp_nhwc", "depthwise_convolution.cl" }, + { "dwc_MxN_native_quantized8_nhwc", "depthwise_convolution_quantized.cl" }, + { "dwc_3x3_native_quantized8_nchw", "depthwise_convolution_quantized.cl" }, + { "dwc_3x3_native_quantized8_dot8_nchw", "depthwise_convolution_quantized.cl" }, + { "depth_to_space_nchw", "depth_to_space.cl" }, + { "depth_to_space_nhwc", "depth_to_space.cl" }, + { "depthwise_convolution_3x3_stridex1_stridey1_f16", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_stridex2_stridey2_f16", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_stridex1_stridey1_f32", "depthwise_convolution.cl" }, + { "depthwise_convolution_3x3_stridex2_stridey2_f32", "depthwise_convolution.cl" }, + { "dequantization_layer", "dequantization_layer.cl" }, + { "dequantization_layer_per_channel_nhwc", "dequantization_layer.cl" }, + { "dequantization_layer_per_channel_nchw", "dequantization_layer.cl" }, + { "direct_convolution_nhwc", "direct_convolution.cl" }, + { "direct_convolution1x1", "direct_convolution1x1.cl" }, + { "direct_convolution1x1_f32_bifrost", "direct_convolution1x1.cl" }, + { "direct_convolution3x3", "direct_convolution3x3.cl" }, + { "direct_convolution3x3_f32_bifrost", "direct_convolution3x3.cl" }, + { "direct_convolution5x5", "direct_convolution5x5.cl" }, + { "direct_convolution5x5_f32_bifrost", "direct_convolution5x5.cl" }, + { "direct_convolution_quantized", "direct_convolution_quantized.cl" }, + { "elementwise_operation_ADD", "elementwise_operation.cl" }, + { "elementwise_operation_SUB", "elementwise_operation.cl" }, + { "elementwise_operation_MAX", "elementwise_operation.cl" }, + { "elementwise_operation_MIN", "elementwise_operation.cl" }, + { "elementwise_operation_DIV", "elementwise_operation.cl" }, + { "elementwise_operation_SQUARED_DIFF", "elementwise_operation.cl" }, + { "elementwise_operation_POWER", "elementwise_operation.cl" }, + { "elementwise_operation_PRELU", "elementwise_operation.cl" }, + { "elementwise_operation_AND", "elementwise_operation.cl" }, + { "elementwise_operation_OR", "elementwise_operation.cl" }, + { "elementwise_operation_ADD_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_SUB_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_MAX_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_MIN_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_DIV_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_SQUARED_DIFF_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_operation_PRELU_quantized", "elementwise_operation_quantized.cl" }, + { "elementwise_unary", "elementwise_unary.cl" }, + { "fft_digit_reverse_axis_0", "fft_digit_reverse.cl" }, + { "fft_digit_reverse_axis_1", "fft_digit_reverse.cl" }, + { "fft_radix_2_first_stage_axis_0", "fft.cl" }, + { "fft_radix_2_first_stage_axis_1", "fft.cl" }, + { "fft_radix_2_axis_0", "fft.cl" }, + { "fft_radix_2_axis_1", "fft.cl" }, + { "fft_radix_3_first_stage_axis_0", "fft.cl" }, + { "fft_radix_3_first_stage_axis_1", "fft.cl" }, + { "fft_radix_3_axis_0", "fft.cl" }, + { "fft_radix_3_axis_1", "fft.cl" }, + { "fft_radix_4_first_stage_axis_0", "fft.cl" }, + { "fft_radix_4_first_stage_axis_1", "fft.cl" }, + { "fft_radix_4_axis_0", "fft.cl" }, + { "fft_radix_4_axis_1", "fft.cl" }, + { "fft_radix_5_first_stage_axis_0", "fft.cl" }, + { "fft_radix_5_first_stage_axis_1", "fft.cl" }, + { "fft_radix_5_axis_0", "fft.cl" }, + { "fft_radix_5_axis_1", "fft.cl" }, + { "fft_radix_7_first_stage_axis_0", "fft.cl" }, + { "fft_radix_7_first_stage_axis_1", "fft.cl" }, + { "fft_radix_7_axis_0", "fft.cl" }, + { "fft_radix_7_axis_1", "fft.cl" }, + { "fft_radix_8_first_stage_axis_0", "fft.cl" }, + { "fft_radix_8_first_stage_axis_1", "fft.cl" }, + { "fft_radix_8_axis_0", "fft.cl" }, + { "fft_radix_8_axis_1", "fft.cl" }, + { "fft_scale_conj", "fft_scale.cl" }, + { "fill_image_borders_constant", "fill_border.cl" }, + { "fill_image_borders_replicate", "fill_border.cl" }, + { "floor_layer", "floor.cl" }, + { "fuse_batchnormalization_layer", "batchnormalization_layer.cl" }, + { "gather", "gather.cl" }, + { "gemm_ma_f16", "gemm.cl" }, + { "gemm_ma_f32", "gemm.cl" }, + { "gemm_mv", "gemv.cl" }, + { "gemm_mv_quantized", "gemv.cl" }, + { "gemm_mm_interleaved_transposed_f16", "gemm_v1.cl" }, + { "gemm_mm_interleaved_transposed_f16_acc32", "gemm_v1.cl" }, + { "gemm_mm_interleaved_transposed_f16_bifrost", "gemm_v1.cl" }, + { "gemm_mm_interleaved_transposed_f32", "gemm_v1.cl" }, + { "gemm_mm_interleaved_transposed_f32_bifrost", "gemm_v1.cl" }, + { "gemm_mm_floating_point", "gemm_v1.cl" }, + { "gemm_mm_floating_point_f16_bifrost", "gemm_v1.cl" }, + { "gemm_mm_floating_point_f16_bifrost_acc32", "gemm_v1.cl" }, + { "gemm_mm_floating_point_f32_bifrost", "gemm_v1.cl" }, + { "gemm_mm_floating_point_f32_bifrost_1000", "gemm_v1.cl" }, + { "gemm_mm_native", "gemm.cl" }, + { "gemm_mm_reshaped_lhs_nt_rhs_t", "gemm.cl" }, + { "gemm_mm_reshaped_lhs_nt_rhs_t_texture", "gemm.cl" }, + { "gemm_mm_reshaped_lhs_t_rhs_nt", "gemm.cl" }, + { "gemm_mm_reshaped_lhs_t_rhs_nt_texture", "gemm.cl" }, + { "gemm_mm_reshaped_only_rhs_nt", "gemm.cl" }, + { "gemm_mm_reshaped_only_rhs_nt_texture", "gemm.cl" }, + { "gemm_mm_reshaped_only_rhs_t", "gemm.cl" }, + { "gemm_mm_reshaped_only_rhs_t_texture", "gemm.cl" }, + { "gemm_lc_vm_f32", "gemm.cl" }, + { "gemm_reshape_lhs_matrix_nt", "gemm.cl" }, + { "gemm_reshape_lhs_matrix_t", "gemm.cl" }, + { "gemm_reshape_rhs_matrix_nt", "gemm.cl" }, + { "gemm_reshape_rhs_matrix_t", "gemm.cl" }, + { "gemmlowp_matrix_a_reduction", "gemmlowp.cl" }, + { "gemmlowp_matrix_a_reduction_dot8", "gemmlowp.cl" }, + { "gemmlowp_matrix_b_reduction", "gemmlowp.cl" }, + { "gemmlowp_mm_native", "gemmlowp.cl" }, + { "gemmlowp_mm_reshaped_lhs_nt_rhs_t", "gemmlowp.cl" }, + { "gemmlowp_mm_reshaped_only_rhs_t", "gemmlowp.cl" }, + { "gemmlowp_mm_reshaped_only_rhs_t_fused_output_stage_fixedpoint", "gemmlowp.cl" }, + { "gemmlowp_offset_contribution", "gemmlowp.cl" }, + { "gemmlowp_offset_contribution_quantize_down", "gemmlowp.cl" }, + { "gemmlowp_offset_contribution_quantize_down_fixedpoint", "gemmlowp.cl" }, + { "gemmlowp_output_stage_quantize_down", "gemmlowp.cl" }, + { "gemmlowp_output_stage_quantize_down_fixedpoint", "gemmlowp.cl" }, + { "gemmlowp_output_stage_quantize_down_fixedpoint_qsymm16", "gemmlowp.cl" }, + { "gemmlowp_output_stage_quantize_down_float", "gemmlowp.cl" }, + { "generate_proposals_compute_all_anchors", "generate_proposals.cl" }, + { "generate_proposals_compute_all_anchors_quantized", "generate_proposals_quantized.cl" }, + { "im2col1x1_stridex1_nchw", "im2col.cl" }, + { "im2col3x3_nchw", "im2col.cl" }, + { "im2col5x5_nchw", "im2col.cl" }, + { "im2col11x11_padx0_pady0_nchw", "im2col.cl" }, + { "im2col_generic_nchw", "im2col.cl" }, + { "im2col_generic_padx0_pady0_nchw", "im2col.cl" }, + { "im2col3x3_nhwc", "im2col.cl" }, + { "im2col9x9_nhwc", "im2col.cl" }, + { "im2col_generic_nhwc", "im2col.cl" }, + { "instance_normalization", "instance_normalization.cl" }, + { "compute_mean_var", "instance_normalization.cl" }, + { "l2_normalize_x", "l2_normalize.cl" }, + { "l2_normalize_y", "l2_normalize.cl" }, + { "l2_normalize_z", "l2_normalize.cl" }, + { "max_unpooling_layer_2", "unpooling_layer.cl" }, + { "mean_stddev_normalization", "mean_stddev_normalization.cl" }, + { "memset", "memset.cl" }, + { "minmax_layer", "minmax_layer.cl" }, + { "non_max_suppression", "nonmax.cl" }, + { "normalization_layer_cross_map_nchw", "normalization_layer.cl" }, + { "normalization_layer_cross_map_nhwc", "normalization_layer.cl" }, + { "normalization_layer_in_map_nchw", "normalization_layer.cl" }, + { "normalization_layer_in_map_nhwc", "normalization_layer.cl" }, + { "normalize_planar_yuv_layer_nchw", "normalize_planar_yuv_layer.cl" }, + { "normalize_planar_yuv_layer_nhwc", "normalize_planar_yuv_layer.cl" }, + { "normalize_planar_yuv_layer_q8_nchw", "normalize_planar_yuv_layer_quantized.cl" }, + { "normalize_planar_yuv_layer_q8_nhwc", "normalize_planar_yuv_layer_quantized.cl" }, + { "pad_layer_constant", "pad_layer.cl" }, + { "pad_layer_symmetric_reflect", "pad_layer.cl" }, + { "permute", "permute.cl" }, + { "pixelwise_mul_complex", "pixelwise_mul_float.cl" }, + { "pixelwise_mul_float", "pixelwise_mul_float.cl" }, + { "pixelwise_mul_int", "pixelwise_mul_int.cl" }, + { "pixelwise_mul_quantized", "pixelwise_mul_int.cl" }, + { "pooling_layer_2", "pooling_layer.cl" }, + { "pooling_layer_3", "pooling_layer.cl" }, + { "pooling_layer_optimized_3", "pooling_layer.cl" }, + { "pooling_layer_7", "pooling_layer.cl" }, + { "pooling_layer_MxN_nchw", "pooling_layer.cl" }, + { "pooling_layer_MxN_nhwc", "pooling_layer.cl" }, + { "pooling_layer_2x2_nhwc", "pooling_layer.cl" }, + { "pooling_layer_2_nchw_indices_fp32", "pooling_layer.cl" }, + { "pooling_layer_2_nchw_indices_fp16", "pooling_layer.cl" }, + { "pooling_layer_MxN_quantized_nhwc", "pooling_layer_quantized.cl" }, + { "pooling_layer_MxN_quantized_nchw", "pooling_layer_quantized.cl" }, + { "prior_box_layer_nchw", "prior_box_layer.cl" }, + { "qlstm_layer_normalization", "qlstm_layer_normalization.cl" }, + { "quantization_layer", "quantization_layer.cl" }, + { "range", "range.cl" }, + { "range_quantized", "range.cl" }, + { "reduction_operation_x", "reduction_operation.cl" }, + { "reduction_operation_non_parallel_x", "reduction_operation.cl" }, + { "reduction_operation_y", "reduction_operation.cl" }, + { "reduction_operation_z", "reduction_operation.cl" }, + { "reduction_operation_w", "reduction_operation.cl" }, + { "remap_nearest_neighbour", "remap.cl" }, + { "remap_bilinear", "remap.cl" }, + { "reorg_layer_nchw", "reorg_layer.cl" }, + { "reorg_layer_nhwc", "reorg_layer.cl" }, + { "reshape_layer", "reshape_layer.cl" }, + { "reshape_to_columns", "convolution_layer.cl" }, + { "reverse", "reverse.cl" }, + { "roi_align_layer", "roi_align_layer.cl" }, + { "roi_align_layer_quantized", "roi_align_layer_quantized.cl" }, + { "roi_pooling_layer", "roi_pooling_layer.cl" }, + { "scale_nearest_neighbour_nchw", "scale.cl" }, + { "scale_nearest_neighbour_nhwc", "scale.cl" }, + { "scale_bilinear_nchw", "scale.cl" }, + { "scale_bilinear_nhwc", "scale.cl" }, + { "scale_bilinear_quantized_nchw", "scale_quantized.cl" }, + { "scale_bilinear_quantized_nhwc", "scale_quantized.cl" }, + { "select_same_rank", "select.cl" }, + { "select_different_rank_2", "select.cl" }, + { "select_different_rank_n", "select.cl" }, + { "softmax_layer_norm", "softmax_layer.cl" }, + { "softmax_layer_norm_quantized", "softmax_layer_quantized.cl" }, + { "softmax_layer_max_shift_exp_sum_quantized_serial", "softmax_layer_quantized.cl" }, + { "softmax_layer_max_shift_exp_sum_quantized_parallel", "softmax_layer_quantized.cl" }, + { "softmax_layer_max_shift_exp_sum_serial", "softmax_layer.cl" }, + { "space_to_batch_nchw", "space_to_batch.cl" }, + { "space_to_batch_static_nchw", "space_to_batch.cl" }, + { "space_to_batch_nhwc", "space_to_batch.cl" }, + { "space_to_batch_static_nhwc", "space_to_batch.cl" }, + { "space_to_depth_nchw", "space_to_depth.cl" }, + { "space_to_depth_nhwc", "space_to_depth.cl" }, + { "softmax_layer_max_shift_exp_sum_parallel", "softmax_layer.cl" }, + { "stack_layer", "stack_layer.cl" }, + { "strided_slice", "slice_ops.cl" }, + { "tile", "tile.cl" }, + { "transpose", "transpose.cl" }, + { "upsample_layer_nchw", "upsample_layer.cl" }, + { "upsample_layer_nhwc", "upsample_layer.cl" }, + { "winograd_filter_transform_2x2_3x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_2x1_3x1_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x2_1x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_3x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x1_3x1_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x4_1x3_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_5x5_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x1_5x1_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x4_1x5_nchw", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x1_3x1_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x4_1x3_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_3x3_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x4_5x5_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_4x1_5x1_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x4_1x5_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_2x2_7x7_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_2x1_7x1_nhwc", "winograd_filter_transform.cl" }, + { "winograd_filter_transform_1x2_1x7_nhwc", "winograd_filter_transform.cl" }, + { "winograd_input_transform_2x2_3x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x2_3x3_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x1_3x1_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x2_1x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x2_1x3_stepz2_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_3x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x1_3x1_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x4_1x3_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_5x5_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x1_5x1_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x4_1x5_stepz1_nchw", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x1_3x1_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x4_1x3_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_3x3_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x4_5x5_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_4x1_5x1_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x4_1x5_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x2_7x7_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_2x1_7x1_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_input_transform_1x2_1x7_stepz1_nhwc", "winograd_input_transform.cl" }, + { "winograd_output_transform_2x2_3x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_2x1_3x1_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x2_1x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_3x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x1_3x1_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x4_1x3_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_5x5_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x1_5x1_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x4_1x5_nchw", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x1_3x1_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x4_1x3_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_3x3_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x4_5x5_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_4x1_5x1_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x4_1x5_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_2x2_7x7_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_2x1_7x1_nhwc", "winograd_output_transform.cl" }, + { "winograd_output_transform_1x2_1x7_nhwc", "winograd_output_transform.cl" }, +}; + +const std::map<std::string, std::string> ClKernelLibrary::_program_source_map = +{ +#ifdef EMBEDDED_KERNELS + { + "activation_layer.cl", +#include "./cl_kernels/activation_layer.clembed" + }, + { + "activation_layer_quant.cl", +#include "./cl_kernels/activation_layer_quant.clembed" + }, + { + "arg_min_max.cl", +#include "./cl_kernels/arg_min_max.clembed" + }, + { + "batch_to_space.cl", +#include "./cl_kernels/batch_to_space.clembed" + }, + { + "bitwise_op.cl", +#include "./cl_kernels/bitwise_op.clembed" + }, + { + "bounding_box_transform.cl", +#include "./cl_kernels/bounding_box_transform.clembed" + }, + { + "bounding_box_transform_quantized.cl", +#include "./cl_kernels/bounding_box_transform_quantized.clembed" + }, + { + "channel_shuffle.cl", +#include "./cl_kernels/channel_shuffle.clembed" + }, + { + "col2im.cl", +#include "./cl_kernels/col2im.clembed" + }, + { + "comparisons.cl", +#include "./cl_kernels/comparisons.clembed" + }, + { + "concatenate.cl", +#include "./cl_kernels/concatenate.clembed" + }, + { + "convert_fc_weights.cl", +#include "./cl_kernels/convert_fc_weights.clembed" + }, + { + "convolution_layer.cl", +#include "./cl_kernels/convolution_layer.clembed" + }, + { + "copy_tensor.cl", +#include "./cl_kernels/copy_tensor.clembed" + }, + { + "crop_tensor.cl", +#include "./cl_kernels/crop_tensor.clembed" + }, + { + "upsample_layer.cl", +#include "./cl_kernels/upsample_layer.clembed" + }, + { + "deconvolution_layer.cl", +#include "./cl_kernels/deconvolution_layer.clembed" + }, + { + "depth_convert.cl", +#include "./cl_kernels/depth_convert.clembed" + }, + { + "depth_to_space.cl", +#include "./cl_kernels/depth_to_space.clembed" + }, + { + "depthwise_convolution.cl", +#include "./cl_kernels/depthwise_convolution.clembed" + }, + { + "depthwise_convolution_quantized.cl", +#include "./cl_kernels/depthwise_convolution_quantized.clembed" + }, + { + "dequantization_layer.cl", +#include "./cl_kernels/dequantization_layer.clembed" + }, + { + "direct_convolution1x1.cl", +#include "./cl_kernels/direct_convolution1x1.clembed" + }, + { + "direct_convolution3x3.cl", +#include "./cl_kernels/direct_convolution3x3.clembed" + }, + { + "direct_convolution5x5.cl", +#include "./cl_kernels/direct_convolution5x5.clembed" + }, + { + "direct_convolution_quantized.cl", +#include "./cl_kernels/direct_convolution_quantized.clembed" + }, + { + "direct_convolution.cl", +#include "./cl_kernels/direct_convolution.clembed" + }, + { + "elementwise_operation.cl", +#include "./cl_kernels/elementwise_operation.clembed" + }, + { + "elementwise_operation_quantized.cl", +#include "./cl_kernels/elementwise_operation_quantized.clembed" + }, + { + "elementwise_unary.cl", +#include "./cl_kernels/elementwise_unary.clembed" + }, + { + "fft.cl", +#include "./cl_kernels/fft.clembed" + }, + { + "fft_digit_reverse.cl", +#include "./cl_kernels/fft_digit_reverse.clembed" + }, + { + "fft_scale.cl", +#include "./cl_kernels/fft_scale.clembed" + }, + { + "fill_border.cl", +#include "./cl_kernels/fill_border.clembed" + }, + { + "floor.cl", +#include "./cl_kernels/floor.clembed" + }, + { + "gather.cl", +#include "./cl_kernels/gather.clembed" + }, + { + "gemm.cl", +#include "./cl_kernels/gemm.clembed" + }, + { + "gemm_v1.cl", +#include "./cl_kernels/gemm_v1.clembed" + }, + { + "gemmlowp.cl", +#include "./cl_kernels/gemmlowp.clembed" + }, + { + "gemv.cl", +#include "./cl_kernels/gemv.clembed" + }, + { + "generate_proposals.cl", +#include "./cl_kernels/generate_proposals.clembed" + }, + { + "generate_proposals_quantized.cl", +#include "./cl_kernels/generate_proposals_quantized.clembed" + }, + { + "helpers.h", +#include "./cl_kernels/helpers.hembed" + }, + { + "helpers_asymm.h", +#include "./cl_kernels/helpers_asymm.hembed" + }, + { + "im2col.cl", +#include "./cl_kernels/im2col.clembed" + }, + { + "instance_normalization.cl", +#include "./cl_kernels/instance_normalization.clembed" + }, + { + "l2_normalize.cl", +#include "./cl_kernels/l2_normalize.clembed" + }, + { + "mean_stddev_normalization.cl", +#include "./cl_kernels/mean_stddev_normalization.clembed" + }, + { + "memset.cl", +#include "./cl_kernels/memset.clembed" + }, + { + "minmax_layer.cl", +#include "./cl_kernels/minmax_layer.clembed" + }, + { + "nonmax.cl", +#include "./cl_kernels/nonmax.clembed" + }, + { + "normalization_layer.cl", +#include "./cl_kernels/normalization_layer.clembed" + }, + { + "normalize_planar_yuv_layer.cl", +#include "./cl_kernels/normalize_planar_yuv_layer.clembed" + }, + { + "normalize_planar_yuv_layer_quantized.cl", +#include "./cl_kernels/normalize_planar_yuv_layer_quantized.clembed" + }, + { + "batchnormalization_layer.cl", +#include "./cl_kernels/batchnormalization_layer.clembed" + }, + { + "pad_layer.cl", +#include "./cl_kernels/pad_layer.clembed" + }, + { + "permute.cl", +#include "./cl_kernels/permute.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" + }, + { + "pooling_layer_quantized.cl", +#include "./cl_kernels/pooling_layer_quantized.clembed" + }, + { + "prior_box_layer.cl", +#include "./cl_kernels/prior_box_layer.clembed" + }, + { + "qlstm_layer_normalization.cl", +#include "./cl_kernels/qlstm_layer_normalization.clembed" + }, + { + "quantization_layer.cl", +#include "./cl_kernels/quantization_layer.clembed" + }, + { + "range.cl", +#include "./cl_kernels/range.clembed" + }, + { + "reduction_operation.cl", +#include "./cl_kernels/reduction_operation.clembed" + }, + { + "remap.cl", +#include "./cl_kernels/remap.clembed" + }, + { + "reorg_layer.cl", +#include "./cl_kernels/reorg_layer.clembed" + }, + { + "reshape_layer.cl", +#include "./cl_kernels/reshape_layer.clembed" + }, + { + "reverse.cl", +#include "./cl_kernels/reverse.clembed" + }, + { + "roi_align_layer.cl", +#include "./cl_kernels/roi_align_layer.clembed" + }, + { + "roi_align_layer_quantized.cl", +#include "./cl_kernels/roi_align_layer_quantized.clembed" + }, + { + "roi_pooling_layer.cl", +#include "./cl_kernels/roi_pooling_layer.clembed" + }, + { + "scale.cl", +#include "./cl_kernels/scale.clembed" + }, + { + "scale_quantized.cl", +#include "./cl_kernels/scale_quantized.clembed" + }, + { + "select.cl", +#include "./cl_kernels/select.clembed" + }, + { + "softmax_layer.cl", +#include "./cl_kernels/softmax_layer.clembed" + }, + { + "softmax_layer_quantized.cl", +#include "./cl_kernels/softmax_layer_quantized.clembed" + }, + { + "slice_ops.cl", +#include "./cl_kernels/slice_ops.clembed" + }, + { + "space_to_batch.cl", +#include "./cl_kernels/space_to_batch.clembed" + }, + { + "space_to_depth.cl", +#include "./cl_kernels/space_to_depth.clembed" + }, + { + "stack_layer.cl", +#include "./cl_kernels/stack_layer.clembed" + }, + { + "tile.cl", +#include "./cl_kernels/tile.clembed" + }, + { + "transpose.cl", +#include "./cl_kernels/transpose.clembed" + }, + { + "types.h", +#include "./cl_kernels/types.hembed" + }, + { + "unpooling_layer.cl", +#include "./cl_kernels/unpooling_layer.clembed" + }, + { + "winograd_filter_transform.cl", +#include "./cl_kernels/winograd_filter_transform.clembed" + }, + { + "winograd_input_transform.cl", +#include "./cl_kernels/winograd_input_transform.clembed" + }, + { + "winograd_output_transform.cl", +#include "./cl_kernels/winograd_output_transform.clembed" + }, +#endif /* EMBEDDED_KERNELS */ +}; + +ClKernelLibrary &ClKernelLibrary::get() +{ + static ClKernelLibrary _kernel_library; + return _kernel_library; +} + +std::string ClKernelLibrary::program_name(const std::string &kernel_name) 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_VAR("Kernel %s not found in the CLKernelLibrary", kernel_name.c_str()); + } + + const std::string program_name = kernel_program_it->second; + + return program_name; +} + +void ClKernelLibrary::set_kernel_path(std::string kernel_path) +{ + _kernel_path = std::move(kernel_path); + _kernel_path += "/"; +} + +const std::string &ClKernelLibrary::kernel_path() const +{ + return _kernel_path; +} + +ClKernelLibrary::ClProgramInfo ClKernelLibrary::program(const std::string &program_name) const +{ +#ifdef EMBEDDED_KERNELS +#ifdef ARM_COMPUTE_COMPRESSED_KERNELS + const auto inflatted_program_source_it = _decompressed_source_map.find(program_name); + if(inflatted_program_source_it != _decompressed_source_map.end()) + { + return ClProgramInfo{ inflatted_program_source_it->second, false }; + } +#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ + + const auto program_source_it = _program_source_map.find(program_name); + if(program_source_it == _program_source_map.end()) + { + ARM_COMPUTE_ERROR_VAR("Embedded program for %s does not exist.", program_name.c_str()); + } + std::string program_source = program_source_it->second; + +#ifdef ARM_COMPUTE_COMPRESSED_KERNELS + std::string decompressed_program_source = decompress_zlib(decode_base64(program_source_it->second)); + ARM_COMPUTE_ERROR_ON_MSG(decompressed_program_source.empty(), "Cannot de-compress requested program"); + _decompressed_source_map.insert(std::make_pair(program_name, decompressed_program_source)); + program_source = std::move(decompressed_program_source); +#endif /* ARM_COMPUTE_COMPRESSED_KERNELS */ + + return ClProgramInfo{ program_source, false }; +#else /* EMBEDDED_KERNELS */ + // Check for binary + std::string source_name = _kernel_path + program_name; + std::string binary_name = source_name + "bin"; + std::string program_source{}; + bool is_binary = false; + + if(std::ifstream(binary_name).is_open()) + { + program_source = read_file(binary_name, true); + is_binary = true; + } + else if(std::ifstream(source_name).is_open()) + { + program_source = read_file(source_name, false); + } + else + { + ARM_COMPUTE_ERROR_VAR("Kernel file %s does not exist.", source_name.c_str()); + } + + return ClProgramInfo{ program_source, is_binary }; +#endif /* EMBEDDED_KERNELS */ +} +} // namespace opencl +} // namespace arm_compute diff --git a/src/core/gpu/cl/ClKernelLibrary.h b/src/core/gpu/cl/ClKernelLibrary.h new file mode 100644 index 0000000000..42bec95032 --- /dev/null +++ b/src/core/gpu/cl/ClKernelLibrary.h @@ -0,0 +1,95 @@ +/* + * Copyright (c) 2021 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. + */ +#ifndef ARM_COMPUTE_CL_KERNEL_LIBRARY_H +#define ARM_COMPUTE_CL_KERNEL_LIBRARY_H + +#include <map> +#include <string> +#include <tuple> + +namespace arm_compute +{ +namespace opencl +{ +/** ClKernelLibrary contains all the OpenCL kernels that are used throughout the library + * + * @note Kernel library is a singleton to reduce memory requirements + * @note Sole responsibility is just to provide access to the kernel string, + * does not perform any compilation and relevant tasks + */ +class ClKernelLibrary final +{ +private: + /** Default Constructor */ + ClKernelLibrary() = default; + /** Prevent instances of this class from being copied */ + ClKernelLibrary(const ClKernelLibrary &) = delete; + /** Prevent instances of this class from being copied */ + const ClKernelLibrary &operator=(const ClKernelLibrary &) = delete; + +public: + /** Structure to encapsulte program related information */ + struct ClProgramInfo + { + std::string program{}; /**< Program raw string */ + bool is_binary{ false }; /**< Flag that indicates if is in binary format */ + }; + +public: + /** Access the KernelLibrary singleton + * + * @return The KernelLibrary instance + */ + static ClKernelLibrary &get(); + /** Sets the path that the kernels reside in + * + * @param[in] kernel_path Path of the kernel + */ + void set_kernel_path(std::string kernel_path); + /** Gets the path that the kernels reside in + */ + const std::string &kernel_path() const; + /** Gets the source of the selected program + * + * @param[in] program_name Program name + * + * @return A pair with the source (false) or the binary (true), of the selected program + */ + ClProgramInfo program(const std::string &program_name) const; + /** Returns the program name given a kernel name + * + * @return Program name + */ + std::string program_name(const std::string &kernel_name) const; + +private: + std::string _kernel_path{}; /**< Path to the kernels folder. */ + mutable std::map<std::string, std::string> _decompressed_source_map{}; /**< Map holding the decompressed files when compression is used */ + static const std::map<std::string, std::string> _kernel_program_map; /**< Map that associates kernel names with programs. */ + static const std::map<std::string, std::string> _program_source_map; /**< Contains sources for all programs. + Used for compile-time kernel inclusion. >*/ +}; +} // namespace opencl +} // namespace arm_compute +#endif /* ARM_COMPUTE_CL_KERNEL_LIBRARY_H */ |