darknet/src/im2col.c

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#include "mini_blas.h"
#include <stdio.h>
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inline float im2col_get_pixel(float *im, int height, int width, int channels,
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int row, int col, int channel, int pad)
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{
row -= pad;
col -= pad;
if (row < 0 || col < 0 ||
row >= height || col >= width) return 0;
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return im[col + width*(row + height*channel)];
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}
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//From Berkeley Vision's Caffe!
//https://github.com/BVLC/caffe/blob/master/LICENSE
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void im2col_cpu(float* data_im,
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int channels, int height, int width,
int ksize, int stride, int pad, float* data_col)
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{
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int c,h,w;
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int height_col = (height - ksize) / stride + 1;
int width_col = (width - ksize) / stride + 1;
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if (pad){
height_col = 1 + (height-1) / stride;
width_col = 1 + (width-1) / stride;
pad = ksize/2;
}
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int channels_col = channels * ksize * ksize;
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for (c = 0; c < channels_col; ++c) {
int w_offset = c % ksize;
int h_offset = (c / ksize) % ksize;
int c_im = c / ksize / ksize;
for (h = 0; h < height_col; ++h) {
for (w = 0; w < width_col; ++w) {
int im_row = h_offset + h * stride;
int im_col = w_offset + w * stride;
int col_index = (c * height_col + h) * width_col + w;
data_col[col_index] = im2col_get_pixel(data_im, height, width, channels,
im_row, im_col, c_im, pad);
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}
}
}
}
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#ifdef GPU
#include "opencl.h"
#include <math.h>
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cl_kernel get_im2col_pad_kernel()
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{
static int init = 0;
static cl_kernel im2col_kernel;
if(!init){
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im2col_kernel = get_kernel("src/im2col.cl", "im2col_pad", 0);
init = 1;
}
return im2col_kernel;
}
cl_kernel get_im2col_nopad_kernel()
{
static int init = 0;
static cl_kernel im2col_kernel;
if(!init){
im2col_kernel = get_kernel("src/im2col.cl", "im2col_nopad", 0);
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init = 1;
}
return im2col_kernel;
}
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void im2col_ongpu(cl_mem data_im, int offset,
int channels, int height, int width,
int ksize, int stride, int pad, cl_mem data_col)
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{
int height_col = (height - ksize) / stride + 1;
int width_col = (width - ksize) / stride + 1;
int channels_col = channels * ksize * ksize;
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cl_kernel kernel = get_im2col_nopad_kernel();
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if (pad){
height_col = 1 + (height-1) / stride;
width_col = 1 + (width-1) / stride;
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kernel = get_im2col_pad_kernel();
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}
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cl_command_queue queue = cl.queue;
cl_uint i = 0;
cl.error = clSetKernelArg(kernel, i++, sizeof(data_im), (void*) &data_im);
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cl.error = clSetKernelArg(kernel, i++, sizeof(offset), (void*) &offset);
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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(data_col), (void*) &data_col);
check_error(cl);
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size_t global_size = channels_col*height_col*width_col;
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cl.error = clEnqueueNDRangeKernel(queue, kernel, 1, 0,
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&global_size, 0, 0, 0, 0);
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check_error(cl);
}
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/*
void im2col_gpu(float *data_im,
int channels, int height, int width,
int ksize, int stride, int pad, float *data_col)
{
cl_context context = cl.context;
cl_command_queue queue = cl.queue;
size_t size = sizeof(float)*(channels*height*width*batch);
cl_mem im_gpu = clCreateBuffer(context,
CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR,
size, data_im, &cl.error);
check_error(cl);
int height_col = (height - ksize) / stride + 1;
int width_col = (width - ksize) / stride + 1;
int channels_col = channels * ksize * ksize;
size = sizeof(float)*(height_col*width_col*channels_col*batch);
cl_mem col_gpu = clCreateBuffer(context,
CL_MEM_WRITE_ONLY|CL_MEM_COPY_HOST_PTR,
size, data_col, &cl.error);
check_error(cl);
im2col_ongpu(im_gpu, batch, channels, height, width,
ksize, stride, pad, col_gpu);
clEnqueueReadBuffer(queue, col_gpu, CL_TRUE, 0, size, data_col, 0, 0, 0);
check_error(cl);
clReleaseMemObject(col_gpu);
clReleaseMemObject(im_gpu);
}
*/
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#endif