| | |
| | | inline void col2im_set_pixel(float *im, int height, int width, int channels, |
| | | #include <stdio.h> |
| | | #include <math.h> |
| | | inline void col2im_add_pixel(float *im, int height, int width, int channels, |
| | | int row, int col, int channel, int pad, float val) |
| | | { |
| | | row -= pad; |
| | |
| | | |
| | | if (row < 0 || col < 0 || |
| | | row >= height || col >= width) return; |
| | | im[col + width*(row + channel*height)] = val; |
| | | im[col + width*(row + height*channel)] += val; |
| | | } |
| | | //This one might be too, can't remember. |
| | | void col2im_cpu(float* data_col, |
| | | const int channels, const int height, const int width, |
| | | const int ksize, const int stride, int pad, float* data_im) |
| | | int channels, int height, int width, |
| | | int ksize, int stride, int pad, float* data_im) |
| | | { |
| | | int c,h,w; |
| | | int height_col = (height - ksize) / stride + 1; |
| | |
| | | for (w = 0; w < width_col; ++w) { |
| | | int im_row = h_offset + h * stride; |
| | | int im_col = w_offset + w * stride; |
| | | double val = data_col[(c * height_col + h) * width_col + w]; |
| | | col2im_set_pixel(data_im, height, width, channels, |
| | | int col_index = (c * height_col + h) * width_col + w; |
| | | double val = data_col[col_index]; |
| | | col2im_add_pixel(data_im, height, width, channels, |
| | | im_row, im_col, c_im, pad, val); |
| | | } |
| | | } |
| | |
| | | } |
| | | |
| | | |
| | | #ifdef GPU |
| | | |
| | | #include "opencl.h" |
| | | |
| | | cl_kernel get_col2im_kernel() |
| | | { |
| | | static int init = 0; |
| | | static cl_kernel im2col_kernel; |
| | | if(!init){ |
| | | im2col_kernel = get_kernel("src/col2im.cl", "col2im", 0); |
| | | init = 1; |
| | | } |
| | | return im2col_kernel; |
| | | } |
| | | |
| | | void col2im_ongpu(cl_mem data_col, int offset, |
| | | int channels, int height, int width, |
| | | int ksize, int stride, int pad, cl_mem data_im) |
| | | { |
| | | cl_kernel kernel = get_col2im_kernel(); |
| | | cl_command_queue queue = cl.queue; |
| | | |
| | | cl_uint i = 0; |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(data_col), (void*) &data_col); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(offset), (void*) &offset); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(channels), (void*) &channels); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(height), (void*) &height); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(width), (void*) &width); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(ksize), (void*) &ksize); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(stride), (void*) &stride); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(pad), (void*) &pad); |
| | | cl.error = clSetKernelArg(kernel, i++, sizeof(data_im), (void*) &data_im); |
| | | check_error(cl); |
| | | |
| | | size_t global_size = channels*height*width; |
| | | |
| | | cl.error = clEnqueueNDRangeKernel(queue, kernel, 1, 0, |
| | | &global_size, 0, 0, 0, 0); |
| | | check_error(cl); |
| | | } |
| | | |
| | | /* |
| | | void col2im_gpu(float *data_col, int batch, |
| | | int channels, int height, int width, |
| | | int ksize, int stride, int pad, float *data_im) |
| | | { |
| | | int height_col = (height - ksize) / stride + 1; |
| | | int width_col = (width - ksize) / stride + 1; |
| | | int channels_col = channels * ksize * ksize; |
| | | |
| | | size_t size = height_col*width_col*channels_col*batch; |
| | | cl_mem col_gpu = cl_make_array(data_col, size); |
| | | size = channels*height*width*batch; |
| | | cl_mem im_gpu = cl_make_array(data_im, size); |
| | | |
| | | col2im_ongpu(col_gpu, batch, channels, height, width, |
| | | ksize, stride, pad, im_gpu); |
| | | |
| | | cl_read_array(im_gpu, data_im, size); |
| | | clReleaseMemObject(col_gpu); |
| | | clReleaseMemObject(im_gpu); |
| | | } |
| | | */ |
| | | |
| | | #endif |