| /* |
| * Copyright (c) 2016-2022 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 <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 = |
| { |
| // 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" }, |
| { "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_native_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.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_lhs_nt_rhs_t_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" }, |
| { "gemm_mm_reshaped_lhs_nt_rhs_t_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" }, |
| { "gemm_mm_reshaped_lhs_t_rhs_nt_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl" }, |
| { "gemm_mm_reshaped_lhs_t_rhs_nt_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.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_mm_reshaped_only_rhs_nt_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" }, |
| { "gemm_mm_reshaped_only_rhs_nt_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" }, |
| { "gemm_mm_reshaped_only_rhs_t_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl" }, |
| { "gemm_mm_reshaped_only_rhs_t_texture_post_act_eltwise_op_act", "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.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_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" }, |
| { "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_layer_norm", "common/softmax_layer.cl" }, |
| { "softmax_layer_norm_quantized", "common/softmax_layer_quantized.cl" }, |
| { "softmax_layer_max_shift_exp_sum_quantized_serial", "common/softmax_layer_quantized.cl" }, |
| { "softmax_layer_max_shift_exp_sum_quantized_parallel", "common/softmax_layer_quantized.cl" }, |
| { "softmax_layer_max_shift_exp_sum_serial", "common/softmax_layer.cl" }, |
| { "softmax_layer_max_shift_exp_sum_parallel", "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" }, |
| { "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" }, |
| { "reorg_layer_nhwc", "nhwc/reorg_layer.cl" }, |
| { "scale_nearest_neighbour_nhwc", "nhwc/scale.cl" }, |
| { "scale_bilinear_nhwc", "nhwc/scale.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" }, |
| { "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<std::string, std::string> ClKernelLibrary::_program_source_map = |
| { |
| #ifdef EMBEDDED_KERNELS |
| { |
| "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/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/gemm.cl", |
| #include "./cl_kernels/common/gemm.clembed" |
| }, |
| { |
| "common/gemm_utils.cl", |
| #include "./cl_kernels/common/gemm_utils.clembed" |
| }, |
| { |
| "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.cl", |
| #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_native.clembed" |
| }, |
| { |
| "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.cl", |
| #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped.clembed" |
| }, |
| { |
| "common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.cl", |
| #include "./cl_kernels/common/experimental/gemm_fused_post_ops/act_eltwise_op_act/gemm_mm_reshaped_only_rhs.clembed" |
| }, |
| { |
| "common/gemmlowp.cl", |
| #include "./cl_kernels/common/gemmlowp.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" |
| }, |
| { |
| "helpers.h", |
| #include "./cl_kernels/helpers.hembed" |
| }, |
| { |
| "helpers_asymm.h", |
| #include "./cl_kernels/helpers_asymm.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/softmax_layer_quantized.cl", |
| #include "./cl_kernels/common/softmax_layer_quantized.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" |
| }, |
| #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/batchnormalization_layer.cl", |
| #include "./cl_kernels/nhwc/batchnormalization_layer.clembed" |
| }, |
| { |
| "nhwc/pooling_layer.cl", |
| #include "./cl_kernels/nhwc/pooling_layer.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/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 |
