#include "opencl_source_map.hpp" namespace MNN { const char* nearest = "#define GLOBAL_SIZE_3_DIMS "" __private const int global_size_dim0,__private const int global_size_dim1,__private const int global_size_dim2,\n" "#define DEAL_NON_UNIFORM_DIM3(input1, input2, input3) "" if (input1 >= global_size_dim0 || input2 >= global_size_dim1 || input3 >= global_size_dim2) { "" return; "" }\n" "__constant sampler_t SAMPLER=CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST;\n" "__kernel void interp(GLOBAL_SIZE_3_DIMS __read_only image2d_t input,__write_only image2d_t output,\n" " __private const float height_scale,__private const float width_scale,\n" " __private const float height_offset,__private const float width_offset,\n" " __private const int input_height,__private const int input_width,\n" " __private const int out_height) {\n" " const int output_channel_block_idx=get_global_id(0);\n" " const int output_width_block_idx=get_global_id(1);\n" " const int output_batch_height_block_idx=get_global_id(2);\n" " DEAL_NON_UNIFORM_DIM3(output_channel_block_idx,output_width_block_idx,output_batch_height_block_idx);\n" " const int output_channel_block_idxs=global_size_dim0;\n" " const int output_width=global_size_dim1;\n" " const int output_batch_idx=output_batch_height_block_idx/out_height;\n" " const int output_height_idx=output_batch_height_block_idx % out_height;\n" " const float scale_height=output_height_idx*height_scale+height_offset;\n" " const float scale_width=output_width_block_idx*width_scale+width_offset;\n" "#ifdef USE_ROUND\n" " const int height_lf=min(max(0,(int)floor(scale_height+0.499f)),input_height-1);\n" " const int width_lf=min(max(0,(int)floor(scale_width+0.499f)),input_width-1);\n" "#else\n" " const int height_lf=min(max(0,(int)floor(scale_height)),input_height-1);\n" " const int width_lf=min(max(0,(int)floor(scale_width)),input_width-1);\n" "#endif\n" " const int input_width_offset=mul24(output_channel_block_idx,input_width);\n" " const int input_height_offset=mul24(output_batch_idx,input_height);\n" " float4 out =\n" " read_imagef(input,SAMPLER,(int2)(input_width_offset+width_lf,input_height_offset+height_lf));\n" " const int out_image_w=mad24(output_channel_block_idx,output_width,output_width_block_idx);\n" " const int out_image_h=mad24(output_batch_idx,out_height,output_height_idx);\n" " write_imagef(output,(int2)(out_image_w,out_image_h),out);\n" "}\n" "__kernel void interp3D(GLOBAL_SIZE_3_DIMS __read_only image2d_t input,__write_only image2d_t output,\n" " __private const float depth_scale,__private const float height_scale,__private const float width_scale,\n" " __private const float depth_offset,__private const float height_offset,__private const float width_offset,\n" " __private const int input_depth,__private const int input_height,__private const int input_width,\n" " __private const int out_depth,__private const int out_height) {\n" " const int output_channel_block_idx=get_global_id(0);\n" " const int output_height_width_block_idx=get_global_id(1);\n" " const int output_batch_depth_block_idx=get_global_id(2);\n" " DEAL_NON_UNIFORM_DIM3(output_channel_block_idx,output_height_width_block_idx,output_batch_depth_block_idx);\n" " const int output_channel_block_idxs=global_size_dim0;\n" " const int output_tensor_height_width=global_size_dim1;\n" " const int out_width=output_tensor_height_width/out_height;\n" " const int output_batch_idx=output_batch_depth_block_idx/out_depth;\n" " const int output_depth_idx=output_batch_depth_block_idx % out_depth;\n" " const int output_height_idx=output_height_width_block_idx/out_height;\n" " const int output_width_idx=output_height_width_block_idx % out_height;\n" " const float scale_depth=output_depth_idx*depth_scale+depth_offset;\n" " const float scale_height=output_height_idx*height_scale+height_offset;\n" " const float scale_width=output_width_idx*width_scale+width_offset;\n" " const int depth_lf=max(0,(int)floor(scale_depth));\n" " const int height_lf=max(0,(int)floor(scale_height));\n" " const int width_lf=max(0,(int)floor(scale_width));\n" " const int input_tensor_width_height=mul24(input_width,input_height);\n" " const int input_image_width_offset=mul24(output_channel_block_idx,input_tensor_width_height);\n" " const int input_image_height_offset=mul24(output_batch_idx,input_depth);\n" " float4 out=read_imagef(input,SAMPLER,\n" " (int2)(input_image_width_offset+input_width*(height_offset+height_lf)+width_lf+width_offset,\n" " input_image_height_offset+depth_lf+depth_offset));\n" " const int output_image_width_offset=output_channel_block_idx*output_tensor_height_width;\n" " const int output_image_height_offset=output_batch_idx*out_depth;\n" " // TODO: out\n" " const int out_image_w=output_image_width_offset+output_height_idx*out_width+output_width_idx;\n" " const int out_image_h=output_image_height_offset+output_batch_idx*out_depth+output_depth_idx;\n" " write_imagef(output,(int2)(out_image_w,out_image_h),out);\n" "}\n" ; }