darknet/src/maxpool_layer.c

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#include "maxpool_layer.h"
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#include <stdio.h>
image get_maxpool_image(maxpool_layer layer)
{
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
return float_to_image(h,w,c,layer.output);
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}
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image get_maxpool_delta(maxpool_layer layer)
{
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
return float_to_image(h,w,c,layer.delta);
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}
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maxpool_layer *make_maxpool_layer(int batch, int h, int w, int c, int size, int stride)
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{
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fprintf(stderr, "Maxpool Layer: %d x %d x %d image, %d size, %d stride\n", h,w,c,size,stride);
maxpool_layer *layer = calloc(1, sizeof(maxpool_layer));
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layer->batch = batch;
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layer->h = h;
layer->w = w;
layer->c = c;
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layer->size = size;
layer->stride = stride;
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layer->output = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c*batch, sizeof(float));
layer->delta = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c*batch, sizeof(float));
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return layer;
}
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void resize_maxpool_layer(maxpool_layer *layer, int h, int w, int c)
{
layer->h = h;
layer->w = w;
layer->c = c;
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layer->output = realloc(layer->output, ((h-1)/layer->stride+1) * ((w-1)/layer->stride+1) * c * layer->batch* sizeof(float));
layer->delta = realloc(layer->delta, ((h-1)/layer->stride+1) * ((w-1)/layer->stride+1) * c * layer->batch*sizeof(float));
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}
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float get_max_region(image im, int h, int w, int c, int size)
{
int i,j;
int lower = (-size-1)/2 + 1;
int upper = size/2 + 1;
int lh = (h-lower < 0) ? 0 : h-lower;
int uh = (h+upper > im.h) ? im.h : h+upper;
int lw = (w-lower < 0) ? 0 : w-lower;
int uw = (w+upper > im.w) ? im.w : w+upper;
//printf("%d\n", -3/2);
//printf("%d %d\n", lower, upper);
//printf("%d %d %d %d\n", lh, uh, lw, uw);
float max = -FLT_MAX;
for(i = lh; i < uh; ++i){
for(j = lw; j < uw; ++j){
float val = get_pixel(im, i, j, c);
if (val > max) max = val;
}
}
return max;
}
void forward_maxpool_layer(const maxpool_layer layer, float *in)
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{
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int b;
for(b = 0; b < layer.batch; ++b){
image input = float_to_image(layer.h, layer.w, layer.c, in+b*layer.h*layer.w*layer.c);
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
image output = float_to_image(h,w,c,layer.output+b*h*w*c);
int i,j,k;
for(k = 0; k < input.c; ++k){
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for(i = 0; i < input.h; i += layer.stride){
for(j = 0; j < input.w; j += layer.stride){
float max = get_max_region(input, i, j, k, layer.size);
set_pixel(output, i/layer.stride, j/layer.stride, k, max);
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}
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}
}
}
}
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float set_max_region_delta(image im, image delta, int h, int w, int c, int size, float max, float error)
{
int i,j;
int lower = (-size-1)/2 + 1;
int upper = size/2 + 1;
int lh = (h-lower < 0) ? 0 : h-lower;
int uh = (h+upper > im.h) ? im.h : h+upper;
int lw = (w-lower < 0) ? 0 : w-lower;
int uw = (w+upper > im.w) ? im.w : w+upper;
for(i = lh; i < uh; ++i){
for(j = lw; j < uw; ++j){
float val = get_pixel(im, i, j, c);
if (val == max){
add_pixel(delta, i, j, c, error);
}
}
}
return max;
}
void backward_maxpool_layer(const maxpool_layer layer, float *in, float *delta)
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{
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int b;
for(b = 0; b < layer.batch; ++b){
image input = float_to_image(layer.h, layer.w, layer.c, in+b*layer.h*layer.w*layer.c);
image input_delta = float_to_image(layer.h, layer.w, layer.c, delta+b*layer.h*layer.w*layer.c);
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
image output = float_to_image(h,w,c,layer.output+b*h*w*c);
image output_delta = float_to_image(h,w,c,layer.delta+b*h*w*c);
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zero_image(input_delta);
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int i,j,k;
for(k = 0; k < input.c; ++k){
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for(i = 0; i < input.h; i += layer.stride){
for(j = 0; j < input.w; j += layer.stride){
float max = get_pixel(output, i/layer.stride, j/layer.stride, k);
float error = get_pixel(output_delta, i/layer.stride, j/layer.stride, k);
set_max_region_delta(input, input_delta, i, j, k, layer.size, max, error);
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}
}
}
}
}