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Convolutional layers working w/ matrices

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This commit is contained in:
Joseph Redmon
2014-01-28 16:28:42 -08:00
parent b2b7137b6f
commit f7a17f82eb
26 changed files with 459 additions and 363 deletions
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28
src/maxpool_layer.c
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@ -6,7 +6,7 @@ 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 double_to_image(h,w,c,layer.output);
return float_to_image(h,w,c,layer.output);
}
image get_maxpool_delta(maxpool_layer layer)
@ -14,7 +14,7 @@ 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 double_to_image(h,w,c,layer.delta);
return float_to_image(h,w,c,layer.delta);
}
maxpool_layer *make_maxpool_layer(int h, int w, int c, int stride)
@ -25,41 +25,41 @@ maxpool_layer *make_maxpool_layer(int h, int w, int c, int stride)
layer->w = w;
layer->c = c;
layer->stride = stride;
layer->output = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c, sizeof(double));
layer->delta = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c, sizeof(double));
layer->output = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c, sizeof(float));
layer->delta = calloc(((h-1)/stride+1) * ((w-1)/stride+1) * c, sizeof(float));
return layer;
}
void forward_maxpool_layer(const maxpool_layer layer, double *in)
void forward_maxpool_layer(const maxpool_layer layer, float *in)
{
image input = double_to_image(layer.h, layer.w, layer.c, in);
image input = float_to_image(layer.h, layer.w, layer.c, in);
image output = get_maxpool_image(layer);
int i,j,k;
for(i = 0; i < output.h*output.w*output.c; ++i) output.data[i] = -DBL_MAX;
for(k = 0; k < input.c; ++k){
for(i = 0; i < input.h; ++i){
for(j = 0; j < input.w; ++j){
double val = get_pixel(input, i, j, k);
double cur = get_pixel(output, i/layer.stride, j/layer.stride, k);
float val = get_pixel(input, i, j, k);
float cur = get_pixel(output, i/layer.stride, j/layer.stride, k);
if(val > cur) set_pixel(output, i/layer.stride, j/layer.stride, k, val);
}
}
}
}
void backward_maxpool_layer(const maxpool_layer layer, double *in, double *delta)
void backward_maxpool_layer(const maxpool_layer layer, float *in, float *delta)
{
image input = double_to_image(layer.h, layer.w, layer.c, in);
image input_delta = double_to_image(layer.h, layer.w, layer.c, delta);
image input = float_to_image(layer.h, layer.w, layer.c, in);
image input_delta = float_to_image(layer.h, layer.w, layer.c, delta);
image output_delta = get_maxpool_delta(layer);
image output = get_maxpool_image(layer);
int i,j,k;
for(k = 0; k < input.c; ++k){
for(i = 0; i < input.h; ++i){
for(j = 0; j < input.w; ++j){
double val = get_pixel(input, i, j, k);
double cur = get_pixel(output, i/layer.stride, j/layer.stride, k);
double d = get_pixel(output_delta, i/layer.stride, j/layer.stride, k);
float val = get_pixel(input, i, j, k);
float cur = get_pixel(output, i/layer.stride, j/layer.stride, k);
float d = get_pixel(output_delta, i/layer.stride, j/layer.stride, k);
if(val == cur) {
set_pixel(input_delta, i, j, k, d);
}