/* * Copyright (c) 2016-2024 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/gpu/cl/ClKernelLibrary.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Utils.h" #include #include #include #include #ifdef ARM_COMPUTE_COMPRESSED_KERNELS #include namespace { /* Decoding table */ constexpr std::array 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(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 ClKernelLibrary::_kernel_program_map = { // Common Kernels {"activation_layer", "common/activation_layer.cl"}, {"activation_layer_quant", "common/activation_layer_quant.cl"}, {"activation_layer_quant_f32", "common/activation_layer_quant.cl"}, {"arg_min_max_x", "common/arg_min_max.cl"}, {"arg_min_max_y", "common/arg_min_max.cl"}, {"arg_min_max_z", "common/arg_min_max.cl"}, {"arg_min_max_w", "common/arg_min_max.cl"}, {"bitwise_or", "common/bitwise_op.cl"}, {"bitwise_and", "common/bitwise_op.cl"}, {"bitwise_xor", "common/bitwise_op.cl"}, {"bitwise_not", "common/bitwise_op.cl"}, {"bounding_box_transform", "common/bounding_box_transform.cl"}, {"bounding_box_transform_quantized", "common/bounding_box_transform_quantized.cl"}, {"compare_equal", "common/comparisons.cl"}, {"compare_equal_quantized", "common/comparisons.cl"}, {"compare_notequal", "common/comparisons.cl"}, {"compare_notequal_quantized", "common/comparisons.cl"}, {"compare_greater", "common/comparisons.cl"}, {"compare_greater_quantized", "common/comparisons.cl"}, {"compare_greaterequal", "common/comparisons.cl"}, {"compare_greaterequal_quantized", "common/comparisons.cl"}, {"compare_less", "common/comparisons.cl"}, {"compare_less_quantized", "common/comparisons.cl"}, {"compare_lessequal", "common/comparisons.cl"}, {"compare_lessequal_quantized", "common/comparisons.cl"}, {"concatenate", "common/concatenate.cl"}, {"concatenate_width", "common/concatenate.cl"}, {"concatenate_height", "common/concatenate.cl"}, {"concatenate_width_x2", "common/concatenate.cl"}, {"concatenate_width_x4", "common/concatenate.cl"}, {"col2im", "common/col2im.cl"}, {"cast_down", "common/cast.cl"}, {"cast_up", "common/cast.cl"}, {"convert_fc_weights", "common/convert_fc_weights.cl"}, {"copy_tensor", "common/copy_tensor.cl"}, {"crop_tensor", "common/crop_tensor.cl"}, {"deconvolution_reshape", "common/deconvolution_layer.cl"}, {"deconvolution_upsample", "common/deconvolution_layer.cl"}, {"dequantization_layer", "common/dequantization_layer.cl"}, {"elementwise_operation_ADD", "common/elementwise_operation.cl"}, {"elementwise_operation_SUB", "common/elementwise_operation.cl"}, {"elementwise_operation_MAX", "common/elementwise_operation.cl"}, {"elementwise_operation_MIN", "common/elementwise_operation.cl"}, {"elementwise_operation_DIV", "common/elementwise_operation.cl"}, {"elementwise_operation_SQUARED_DIFF", "common/elementwise_operation.cl"}, {"elementwise_operation_POWER", "common/elementwise_operation.cl"}, {"elementwise_operation_PRELU", "common/elementwise_operation.cl"}, {"elementwise_operation_AND", "common/elementwise_operation.cl"}, {"elementwise_operation_OR", "common/elementwise_operation.cl"}, {"elementwise_operation_ADD_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_SUB_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_MAX_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_MIN_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_DIV_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_SQUARED_DIFF_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_operation_PRELU_quantized", "common/elementwise_operation_quantized.cl"}, {"elementwise_unary", "common/elementwise_unary.cl"}, {"elementwise_unary_quantized", "common/elementwise_unary_quantized.cl"}, {"fft_digit_reverse_axis_0", "common/fft_digit_reverse.cl"}, {"fft_digit_reverse_axis_1", "common/fft_digit_reverse.cl"}, {"fft_radix_2_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_2_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_2_axis_0", "common/fft.cl"}, {"fft_radix_2_axis_1", "common/fft.cl"}, {"fft_radix_3_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_3_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_3_axis_0", "common/fft.cl"}, {"fft_radix_3_axis_1", "common/fft.cl"}, {"fft_radix_4_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_4_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_4_axis_0", "common/fft.cl"}, {"fft_radix_4_axis_1", "common/fft.cl"}, {"fft_radix_5_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_5_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_5_axis_0", "common/fft.cl"}, {"fft_radix_5_axis_1", "common/fft.cl"}, {"fft_radix_7_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_7_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_7_axis_0", "common/fft.cl"}, {"fft_radix_7_axis_1", "common/fft.cl"}, {"fft_radix_8_first_stage_axis_0", "common/fft.cl"}, {"fft_radix_8_first_stage_axis_1", "common/fft.cl"}, {"fft_radix_8_axis_0", "common/fft.cl"}, {"fft_radix_8_axis_1", "common/fft.cl"}, {"fft_scale_conj", "common/fft_scale.cl"}, {"fill_image_borders_constant", "common/fill_border.cl"}, {"fill_image_borders_replicate", "common/fill_border.cl"}, {"floor_layer", "common/floor.cl"}, {"fuse_batchnormalization_layer", "common/batchnormalization_layer.cl"}, {"gather", "common/gather.cl"}, {"gemm_ma_f16", "common/gemm.cl"}, {"gemm_ma_f32", "common/gemm.cl"}, {"gemm_mv", "common/gemv.cl"}, {"gemm_mv_quantized", "common/gemv.cl"}, {"gemm_mm_native", "common/gemm.cl"}, {"gemm_mm_reshaped_only_rhs_nt_mmul", "common/gemm_reshaped_only_rhs_mmul.cl"}, {"gemm_mm_reshaped_only_rhs_nt_mmul_texture", "common/gemm_reshaped_only_rhs_mmul.cl"}, {"gemm_mm_reshaped_lhs_nt_rhs_t", "common/gemm.cl"}, {"gemm_mm_reshaped_lhs_nt_rhs_t_texture", "common/gemm.cl"}, {"gemm_mm_reshaped_lhs_t_rhs_nt", "common/gemm.cl"}, {"gemm_mm_reshaped_lhs_t_rhs_nt_texture", "common/gemm.cl"}, {"gemm_mm_reshaped_only_rhs_nt", "common/gemm.cl"}, {"gemm_mm_reshaped_only_rhs_nt_texture", "common/gemm.cl"}, {"gemm_mm_reshaped_only_rhs_t", "common/gemm.cl"}, {"gemm_mm_reshaped_only_rhs_t_texture", "common/gemm.cl"}, {"gemm_lc_vm_f32", "common/gemm.cl"}, {"gemm_reshape_lhs_matrix_nt", "common/gemm_utils.cl"}, {"gemm_reshape_lhs_matrix_t", "common/gemm_utils.cl"}, {"gemm_reshape_rhs_matrix_nt", "common/gemm_utils.cl"}, {"gemm_reshape_rhs_matrix_t", "common/gemm_utils.cl"}, {"gemmlowp_matrix_a_reduction", "common/gemmlowp.cl"}, {"gemmlowp_matrix_a_reduction_dot8", "common/gemmlowp.cl"}, {"gemmlowp_matrix_b_reduction", "common/gemmlowp.cl"}, {"gemmlowp_mm_native", "common/gemmlowp.cl"}, {"gemmlowp_mm_reshaped_lhs_nt_rhs_t", "common/gemmlowp.cl"}, {"gemmlowp_mm_reshaped_only_rhs_t", "common/gemmlowp.cl"}, {"gemmlowp_mm_reshaped_only_rhs_t_fused_output_stage_fixedpoint", "common/gemmlowp.cl"}, {"gemmlowp_mm_reshaped_only_rhs_mmul", "common/gemmlowp_reshaped_only_rhs_mmul.cl"}, {"gemmlowp_offset_contribution", "common/gemmlowp.cl"}, {"gemmlowp_offset_contribution_quantize_down", "common/gemmlowp.cl"}, {"gemmlowp_offset_contribution_quantize_down_fixedpoint", "common/gemmlowp.cl"}, {"gemmlowp_output_stage_quantize_down", "common/gemmlowp.cl"}, {"gemmlowp_output_stage_quantize_down_fixedpoint", "common/gemmlowp.cl"}, {"gemmlowp_output_stage_quantize_down_fixedpoint_qsymm16", "common/gemmlowp.cl"}, {"gemmlowp_output_stage_quantize_down_float", "common/gemmlowp.cl"}, {"generate_proposals_compute_all_anchors", "common/generate_proposals.cl"}, {"generate_proposals_compute_all_anchors_quantized", "common/generate_proposals_quantized.cl"}, {"instance_normalization", "common/instance_normalization.cl"}, {"compute_mean_var", "common/instance_normalization.cl"}, {"l2_normalize_x", "common/l2_normalize.cl"}, {"l2_normalize_y", "common/l2_normalize.cl"}, {"l2_normalize_z", "common/l2_normalize.cl"}, {"mat_mul_native_mmul_nt_nt", "common/mat_mul_mmul.cl"}, {"mat_mul_native_mmul_t_nt", "common/mat_mul_mmul.cl"}, {"mat_mul_native_mmul_nt_t", "common/mat_mul_mmul.cl"}, {"mat_mul_native_mmul_t_t", "common/mat_mul_mmul.cl"}, {"mat_mul_native_nt_nt", "common/mat_mul.cl"}, {"mat_mul_native_nt_t", "common/mat_mul.cl"}, {"mat_mul_native_t_nt", "common/mat_mul.cl"}, {"mat_mul_native_t_t", "common/mat_mul.cl"}, {"mat_mul_native_quantized_nt_nt", "common/mat_mul_quantized.cl"}, {"mat_mul_native_quantized_nt_t", "common/mat_mul_quantized.cl"}, {"mat_mul_native_quantized_t_nt", "common/mat_mul_quantized.cl"}, {"mat_mul_native_quantized_t_t", "common/mat_mul_quantized.cl"}, {"mat_mul_native_quantized_mmul_nt_nt", "common/mat_mul_quantized_mmul.cl"}, {"mat_mul_native_quantized_mmul_nt_t", "common/mat_mul_quantized_mmul.cl"}, {"mat_mul_native_quantized_mmul_t_nt", "common/mat_mul_quantized_mmul.cl"}, {"mat_mul_native_quantized_mmul_t_t", "common/mat_mul_quantized_mmul.cl"}, {"max_unpooling_layer_2", "common/unpooling_layer.cl"}, {"mean_stddev_normalization", "common/mean_stddev_normalization.cl"}, {"memset", "common/memset.cl"}, {"minmax_layer", "common/minmax_layer.cl"}, {"non_max_suppression", "common/nonmax.cl"}, {"pad_layer_constant", "common/pad_layer.cl"}, {"pad_layer_symmetric_reflect", "common/pad_layer.cl"}, {"permute", "common/permute.cl"}, {"pixelwise_mul_complex", "common/pixelwise_mul_float.cl"}, {"pixelwise_mul_float", "common/pixelwise_mul_float.cl"}, {"pixelwise_mul_int", "common/pixelwise_mul_int.cl"}, {"pixelwise_mul_quantized", "common/pixelwise_mul_int.cl"}, {"qlstm_layer_normalization", "common/qlstm_layer_normalization.cl"}, {"quantization_layer", "common/quantization_layer.cl"}, {"range", "common/range.cl"}, {"range_quantized", "common/range.cl"}, {"reduction_operation_x", "common/reduction_operation.cl"}, {"reduction_operation_non_parallel_x", "common/reduction_operation.cl"}, {"reduction_operation_y", "common/reduction_operation.cl"}, {"reduction_operation_z", "common/reduction_operation.cl"}, {"reduction_operation_w", "common/reduction_operation.cl"}, {"reshape_layer", "common/reshape_layer.cl"}, {"reshape_to_columns", "common/convolution_layer.cl"}, {"reverse", "common/reverse.cl"}, {"roi_align_layer", "common/roi_align_layer.cl"}, {"roi_align_layer_quantized", "common/roi_align_layer_quantized.cl"}, {"roi_pooling_layer", "common/roi_pooling_layer.cl"}, {"select_same_rank", "common/select.cl"}, {"select_different_rank_2", "common/select.cl"}, {"select_different_rank_n", "common/select.cl"}, {"softmax_x", "common/softmax_layer.cl"}, {"softmax_non_x", "common/softmax_layer.cl"}, {"stack_layer", "common/stack_layer.cl"}, {"strided_slice", "common/slice_ops.cl"}, {"tile", "common/tile.cl"}, {"transpose", "common/transpose.cl"}, #ifdef ENABLE_NCHW_KERNELS {"batch_to_space_nchw", "nchw/batch_to_space.cl"}, {"batch_to_space_static_nchw", "nchw/batch_to_space.cl"}, {"batchnormalization_layer_nchw", "nchw/batchnormalization_layer.cl"}, {"channel_shuffle_nchw", "nchw/channel_shuffle.cl"}, {"depth_to_space_nchw", "nchw/depth_to_space.cl"}, {"dequantization_layer_per_channel_nchw", "nchw/dequantization_layer.cl"}, {"direct_convolution1x1", "nchw/direct_convolution1x1.cl"}, {"direct_convolution_nchw", "nchw/direct_convolution.cl"}, {"im2col1x1_stridex1_nchw", "nchw/im2col.cl"}, {"im2col3x3_nchw", "nchw/im2col.cl"}, {"im2col5x5_nchw", "nchw/im2col.cl"}, {"im2col11x11_padx0_pady0_nchw", "nchw/im2col.cl"}, {"im2col_generic_nchw", "nchw/im2col.cl"}, {"im2col_generic_padx0_pady0_nchw", "nchw/im2col.cl"}, {"normalization_layer_cross_map_nchw", "nchw/normalization_layer.cl"}, {"normalization_layer_in_map_nchw", "nchw/normalization_layer.cl"}, {"normalize_planar_yuv_layer_nchw", "nchw/normalize_planar_yuv_layer.cl"}, {"normalize_planar_yuv_layer_q8_nchw", "nchw/normalize_planar_yuv_layer_quantized.cl"}, {"pooling_layer_MxN_nchw", "nchw/pooling_layer.cl"}, {"pooling_layer_2_nchw_indices", "nchw/pooling_layer.cl"}, {"prior_box_layer_nchw", "nchw/prior_box_layer.cl"}, {"reorg_layer_nchw", "nchw/reorg_layer.cl"}, {"scale_nearest_neighbour_nchw", "nchw/scale.cl"}, {"scale_bilinear_nchw", "nchw/scale.cl"}, {"space_to_batch_nchw", "nchw/space_to_batch.cl"}, {"space_to_batch_static_nchw", "nchw/space_to_batch.cl"}, {"space_to_depth_nchw", "nchw/space_to_depth.cl"}, {"upsample_layer_nchw", "nchw/upsample_layer.cl"}, {"winograd_filter_transform_2x2_3x3_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_2x1_3x1_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x2_1x3_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x4_3x3_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x1_3x1_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x4_1x3_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x4_5x5_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x1_5x1_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x4_1x5_nchw", "nchw/winograd_filter_transform.cl"}, {"winograd_input_transform_2x2_3x3_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_2x2_3x3_stepz2_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_2x1_3x1_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_2x1_3x1_stepz2_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_1x2_1x3_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_1x2_1x3_stepz2_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_4x4_3x3_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_4x1_3x1_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_1x4_1x3_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_4x4_5x5_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_4x1_5x1_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_input_transform_1x4_1x5_stepz1_nchw", "nchw/winograd_input_transform.cl"}, {"winograd_output_transform_2x2_3x3_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_2x1_3x1_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_1x2_1x3_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_4x4_3x3_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_4x1_3x1_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_1x4_1x3_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_4x4_5x5_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_4x1_5x1_nchw", "nchw/winograd_output_transform.cl"}, {"winograd_output_transform_1x4_1x5_nchw", "nchw/winograd_output_transform.cl"}, #endif /* ENABLE_NCHW_KERNELS */ #ifdef ENABLE_NHWC_KERNELS {"batch_to_space_nhwc", "nhwc/batch_to_space.cl"}, {"batch_to_space_static_nhwc", "nhwc/batch_to_space.cl"}, {"batchnormalization_layer_nhwc", "nhwc/batchnormalization_layer.cl"}, {"channel_shuffle_nhwc", "nhwc/channel_shuffle.cl"}, {"depth_to_space_nhwc", "nhwc/depth_to_space.cl"}, {"dequantization_layer_per_channel_nhwc", "nhwc/dequantization_layer.cl"}, {"dwc_native_fp_nhwc", "nhwc/dwc_native_fp_nhwc.cl"}, {"dwc_native_quantized_nhwc", "nhwc/dwc_native_quantized_nhwc.cl"}, {"direct_convolution_nhwc", "nhwc/direct_convolution.cl"}, {"direct_convolution3d_ndhwc", "nhwc/direct_convolution3d.cl"}, {"im2col3x3_nhwc", "nhwc/im2col.cl"}, {"im2col9x9_nhwc", "nhwc/im2col.cl"}, {"im2col_generic_nhwc", "nhwc/im2col.cl"}, {"indirect_convolution_nhwc", "nhwc/indirect_convolution.cl"}, {"indirect_convolution_address_precalculation", "nhwc/indirect_convolution.cl"}, {"normalization_layer_cross_map_nhwc", "nhwc/normalization_layer.cl"}, {"normalization_layer_in_map_nhwc", "nhwc/normalization_layer.cl"}, {"normalize_planar_yuv_layer_nhwc", "nhwc/normalize_planar_yuv_layer.cl"}, {"normalize_planar_yuv_layer_q8_nhwc", "nhwc/normalize_planar_yuv_layer_quantized.cl"}, {"pooling_layer_MxN_nhwc", "nhwc/pooling_layer.cl"}, {"pooling_layer_2x2_nhwc", "nhwc/pooling_layer.cl"}, {"pooling_layer_MxN_quantized_nhwc", "nhwc/pooling_layer_quantized.cl"}, {"pooling_3d_layer_MxN_ndhwc", "nhwc/pooling_3d_layer.cl"}, {"pooling_3d_layer_MxN_ndhwc_quantized", "nhwc/pooling_3d_layer_quantized.cl"}, {"reorg_layer_nhwc", "nhwc/reorg_layer.cl"}, {"scale_nearest_neighbour_nhwc", "nhwc/scale.cl"}, {"scale_bilinear_nhwc", "nhwc/scale.cl"}, {"scatter1D", "common/scatter.cl"}, {"space_to_batch_nhwc", "nhwc/space_to_batch.cl"}, {"space_to_batch_static_nhwc", "nhwc/space_to_batch.cl"}, {"space_to_depth_nhwc", "nhwc/space_to_depth.cl"}, {"transposed_convolution_nhwc", "nhwc/transposed_convolution.cl"}, {"upsample_layer_nhwc", "nhwc/upsample_layer.cl"}, {"winograd_filter_transform_4x1_3x1_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x4_1x3_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x4_3x3_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x4_5x5_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_4x1_5x1_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x4_1x5_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_2x2_7x7_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_2x1_7x1_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_filter_transform_1x2_1x7_nhwc", "nhwc/winograd_filter_transform.cl"}, {"winograd_input_transform_4x1_3x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_1x4_1x3_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_4x4_3x3_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_4x4_5x5_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_4x1_5x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_1x4_1x5_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_2x2_7x7_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_2x1_7x1_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_input_transform_1x2_1x7_stepz1_nhwc", "nhwc/winograd_input_transform.cl"}, {"winograd_output_transform_4x1_3x1_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_1x4_1x3_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_4x4_3x3_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_4x4_5x5_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_4x1_5x1_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_1x4_1x5_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_2x2_7x7_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_2x1_7x1_nhwc", "nhwc/winograd_output_transform.cl"}, {"winograd_output_transform_1x2_1x7_nhwc", "nhwc/winograd_output_transform.cl"}, #endif /* ENABLE_NHWC_KERNELS */ }; const std::map ClKernelLibrary::_program_source_map = { #ifdef EMBEDDED_KERNELS { "activation_float_helpers.h", #include "./cl_kernels/activation_float_helpers.hembed" }, { "activation_quant_helpers.h", #include "./cl_kernels/activation_quant_helpers.hembed" }, { "common/activation_layer.cl", #include "./cl_kernels/common/activation_layer.clembed" }, { "common/activation_layer_quant.cl", #include "./cl_kernels/common/activation_layer_quant.clembed" }, { "common/arg_min_max.cl", #include "./cl_kernels/common/arg_min_max.clembed" }, { "common/bitwise_op.cl", #include "./cl_kernels/common/bitwise_op.clembed" }, { "common/bounding_box_transform.cl", #include "./cl_kernels/common/bounding_box_transform.clembed" }, { "common/bounding_box_transform_quantized.cl", #include "./cl_kernels/common/bounding_box_transform_quantized.clembed" }, { "common/col2im.cl", #include "./cl_kernels/common/col2im.clembed" }, { "common/comparisons.cl", #include "./cl_kernels/common/comparisons.clembed" }, { "common/concatenate.cl", #include "./cl_kernels/common/concatenate.clembed" }, { "common/convert_fc_weights.cl", #include "./cl_kernels/common/convert_fc_weights.clembed" }, { "common/convolution_layer.cl", #include "./cl_kernels/common/convolution_layer.clembed" }, { "common/copy_tensor.cl", #include "./cl_kernels/common/copy_tensor.clembed" }, { "common/crop_tensor.cl", #include "./cl_kernels/common/crop_tensor.clembed" }, { "common/deconvolution_layer.cl", #include "./cl_kernels/common/deconvolution_layer.clembed" }, { "common/cast.cl", #include "./cl_kernels/common/cast.clembed" }, { "common/dequantization_layer.cl", #include "./cl_kernels/common/dequantization_layer.clembed" }, { "common/elementwise_operation.cl", #include "./cl_kernels/common/elementwise_operation.clembed" }, { "common/elementwise_operation_quantized.cl", #include "./cl_kernels/common/elementwise_operation_quantized.clembed" }, { "common/elementwise_unary.cl", #include "./cl_kernels/common/elementwise_unary.clembed" }, { "common/elementwise_unary_quantized.cl", #include "./cl_kernels/common/elementwise_unary_quantized.clembed" }, { "common/fft.cl", #include "./cl_kernels/common/fft.clembed" }, { "common/fft_digit_reverse.cl", #include "./cl_kernels/common/fft_digit_reverse.clembed" }, { "common/fft_scale.cl", #include "./cl_kernels/common/fft_scale.clembed" }, { "common/fill_border.cl", #include "./cl_kernels/common/fill_border.clembed" }, { "common/floor.cl", #include "./cl_kernels/common/floor.clembed" }, { "common/gather.cl", #include "./cl_kernels/common/gather.clembed" }, { "common/scatter.cl", #include "./cl_kernels/common/scatter.clembed" }, { "common/gemm.cl", #include "./cl_kernels/common/gemm.clembed" }, { "common/gemm_reshaped_only_rhs_mmul.cl", #include "./cl_kernels/common/gemm_reshaped_only_rhs_mmul.clembed" }, { "common/gemm_utils.cl", #include "./cl_kernels/common/gemm_utils.clembed" }, { "common/gemmlowp.cl", #include "./cl_kernels/common/gemmlowp.clembed" }, { "common/gemmlowp_reshaped_only_rhs_mmul.cl", #include "./cl_kernels/common/gemmlowp_reshaped_only_rhs_mmul.clembed" }, { "common/gemv.cl", #include "./cl_kernels/common/gemv.clembed" }, { "common/generate_proposals.cl", #include "./cl_kernels/common/generate_proposals.clembed" }, { "common/generate_proposals_quantized.cl", #include "./cl_kernels/common/generate_proposals_quantized.clembed" }, { "gemm_helpers.h", #include "./cl_kernels/gemm_helpers.hembed" }, { "helpers.h", #include "./cl_kernels/helpers.hembed" }, { "helpers_asymm.h", #include "./cl_kernels/helpers_asymm.hembed" }, { "repeat.h", #include "./cl_kernels/repeat.hembed" }, { "tile_helpers.h", #include "./cl_kernels/tile_helpers.hembed" }, { "common/instance_normalization.cl", #include "./cl_kernels/common/instance_normalization.clembed" }, { "common/l2_normalize.cl", #include "./cl_kernels/common/l2_normalize.clembed" }, { "common/mean_stddev_normalization.cl", #include "./cl_kernels/common/mean_stddev_normalization.clembed" }, { "common/memset.cl", #include "./cl_kernels/common/memset.clembed" }, { "common/minmax_layer.cl", #include "./cl_kernels/common/minmax_layer.clembed" }, { "common/nonmax.cl", #include "./cl_kernels/common/nonmax.clembed" }, { "common/batchnormalization_layer.cl", #include "./cl_kernels/common/batchnormalization_layer.clembed" }, { "common/pad_layer.cl", #include "./cl_kernels/common/pad_layer.clembed" }, { "common/permute.cl", #include "./cl_kernels/common/permute.clembed" }, { "common/pixelwise_mul_float.cl", #include "./cl_kernels/common/pixelwise_mul_float.clembed" }, { "common/pixelwise_mul_int.cl", #include "./cl_kernels/common/pixelwise_mul_int.clembed" }, { "common/qlstm_layer_normalization.cl", #include "./cl_kernels/common/qlstm_layer_normalization.clembed" }, { "common/quantization_layer.cl", #include "./cl_kernels/common/quantization_layer.clembed" }, { "common/range.cl", #include "./cl_kernels/common/range.clembed" }, { "common/reduction_operation.cl", #include "./cl_kernels/common/reduction_operation.clembed" }, { "common/reshape_layer.cl", #include "./cl_kernels/common/reshape_layer.clembed" }, { "common/reverse.cl", #include "./cl_kernels/common/reverse.clembed" }, { "common/roi_align_layer.cl", #include "./cl_kernels/common/roi_align_layer.clembed" }, { "common/roi_align_layer_quantized.cl", #include "./cl_kernels/common/roi_align_layer_quantized.clembed" }, { "common/roi_pooling_layer.cl", #include "./cl_kernels/common/roi_pooling_layer.clembed" }, { "common/select.cl", #include "./cl_kernels/common/select.clembed" }, { "common/softmax_layer.cl", #include "./cl_kernels/common/softmax_layer.clembed" }, { "common/slice_ops.cl", #include "./cl_kernels/common/slice_ops.clembed" }, { "common/stack_layer.cl", #include "./cl_kernels/common/stack_layer.clembed" }, { "common/tile.cl", #include "./cl_kernels/common/tile.clembed" }, { "common/transpose.cl", #include "./cl_kernels/common/transpose.clembed" }, { "types.h", #include "./cl_kernels/types.hembed" }, { "common/unpooling_layer.cl", #include "./cl_kernels/common/unpooling_layer.clembed" }, { "common/mat_mul.cl", #include "./cl_kernels/common/mat_mul.clembed" }, { "common/mat_mul_mmul.cl", #include "./cl_kernels/common/mat_mul_mmul.clembed" }, { "common/mat_mul_quantized.cl", #include "./cl_kernels/common/mat_mul_quantized.clembed" }, { "common/mat_mul_quantized_mmul.cl", #include "./cl_kernels/common/mat_mul_quantized_mmul.clembed" }, #ifdef ENABLE_NCHW_KERNELS { "nchw/batch_to_space.cl", #include "./cl_kernels/nchw/batch_to_space.clembed" }, { "nchw/channel_shuffle.cl", #include "./cl_kernels/nchw/channel_shuffle.clembed" }, { "nchw/upsample_layer.cl", #include "./cl_kernels/nchw/upsample_layer.clembed" }, { "nchw/depth_to_space.cl", #include "./cl_kernels/nchw/depth_to_space.clembed" }, { "nchw/dequantization_layer.cl", #include "./cl_kernels/nchw/dequantization_layer.clembed" }, { "nchw/direct_convolution.cl", #include "./cl_kernels/nchw/direct_convolution.clembed" }, { "nchw/im2col.cl", #include "./cl_kernels/nchw/im2col.clembed" }, { "nchw/normalization_layer.cl", #include "./cl_kernels/nchw/normalization_layer.clembed" }, { "nchw/normalize_planar_yuv_layer.cl", #include "./cl_kernels/nchw/normalize_planar_yuv_layer.clembed" }, { "nchw/normalize_planar_yuv_layer_quantized.cl", #include "./cl_kernels/nchw/normalize_planar_yuv_layer_quantized.clembed" }, { "nchw/batchnormalization_layer.cl", #include "./cl_kernels/nchw/batchnormalization_layer.clembed" }, { "nchw/pooling_layer.cl", #include "./cl_kernels/nchw/pooling_layer.clembed" }, { "nchw/prior_box_layer.cl", #include "./cl_kernels/nchw/prior_box_layer.clembed" }, { "nchw/reorg_layer.cl", #include "./cl_kernels/nchw/reorg_layer.clembed" }, { "nchw/scale.cl", #include "./cl_kernels/nchw/scale.clembed" }, { "nchw/space_to_batch.cl", #include "./cl_kernels/nchw/space_to_batch.clembed" }, { "nchw/space_to_depth.cl", #include "./cl_kernels/nchw/space_to_depth.clembed" }, { "nchw/winograd_filter_transform.cl", #include "./cl_kernels/nchw/winograd_filter_transform.clembed" }, { "nchw/winograd_input_transform.cl", #include "./cl_kernels/nchw/winograd_input_transform.clembed" }, { "nchw/winograd_output_transform.cl", #include "./cl_kernels/nchw/winograd_output_transform.clembed" }, #endif /* ENABLE_NCHW_KERNELS */ #ifdef ENABLE_NHWC_KERNELS { "nhwc/batch_to_space.cl", #include "./cl_kernels/nhwc/batch_to_space.clembed" }, { "nhwc/channel_shuffle.cl", #include "./cl_kernels/nhwc/channel_shuffle.clembed" }, { "nhwc/upsample_layer.cl", #include "./cl_kernels/nhwc/upsample_layer.clembed" }, { "nhwc/depth_to_space.cl", #include "./cl_kernels/nhwc/depth_to_space.clembed" }, { "nhwc/dequantization_layer.cl", #include "./cl_kernels/nhwc/dequantization_layer.clembed" }, { "nhwc/direct_convolution.cl", #include "./cl_kernels/nhwc/direct_convolution.clembed" }, { "nhwc/direct_convolution3d.cl", #include "./cl_kernels/nhwc/direct_convolution3d.clembed" }, { "nhwc/dwc_native_fp_nhwc.cl", #include "./cl_kernels/nhwc/dwc_native_fp_nhwc.clembed" }, { "nhwc/dwc_native_quantized_nhwc.cl", #include "./cl_kernels/nhwc/dwc_native_quantized_nhwc.clembed" }, { "nhwc/normalization_layer.cl", #include "./cl_kernels/nhwc/normalization_layer.clembed" }, { "nhwc/normalize_planar_yuv_layer.cl", #include "./cl_kernels/nhwc/normalize_planar_yuv_layer.clembed" }, { "nhwc/normalize_planar_yuv_layer_quantized.cl", #include "./cl_kernels/nhwc/normalize_planar_yuv_layer_quantized.clembed" }, { "nhwc/im2col.cl", #include "./cl_kernels/nhwc/im2col.clembed" }, { "nhwc/indirect_convolution.cl", #include "./cl_kernels/nhwc/indirect_convolution.clembed" }, { "nhwc/batchnormalization_layer.cl", #include "./cl_kernels/nhwc/batchnormalization_layer.clembed" }, { "nhwc/pooling_layer.cl", #include "./cl_kernels/nhwc/pooling_layer.clembed" }, { "nhwc/pooling_3d_layer.cl", #include "./cl_kernels/nhwc/pooling_3d_layer.clembed" }, { "nhwc/pooling_3d_layer_quantized.cl", #include "./cl_kernels/nhwc/pooling_3d_layer_quantized.clembed" }, { "nhwc/pooling_layer_quantized.cl", #include "./cl_kernels/nhwc/pooling_layer_quantized.clembed" }, { "nhwc/reorg_layer.cl", #include "./cl_kernels/nhwc/reorg_layer.clembed" }, { "nhwc/scale.cl", #include "./cl_kernels/nhwc/scale.clembed" }, { "nhwc/space_to_batch.cl", #include "./cl_kernels/nhwc/space_to_batch.clembed" }, { "nhwc/space_to_depth.cl", #include "./cl_kernels/nhwc/space_to_depth.clembed" }, { "nhwc/transposed_convolution.cl", #include "./cl_kernels/nhwc/transposed_convolution.clembed" }, { "nhwc/winograd_filter_transform.cl", #include "./cl_kernels/nhwc/winograd_filter_transform.clembed" }, { "nhwc/winograd_input_transform.cl", #include "./cl_kernels/nhwc/winograd_input_transform.clembed" }, { "nhwc/winograd_output_transform.cl", #include "./cl_kernels/nhwc/winograd_output_transform.clembed" }, #endif /* ENABLE_NHWC_KERNELS */ #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