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stuff and things

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This commit is contained in:
Joseph Redmon
2016-11-07 23:42:19 -08:00
parent 252e3b1916
commit 4b60afcc64
5 changed files with 76 additions and 39 deletions
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34
src/reorg_layer.c
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@ -4,7 +4,7 @@
#include <stdio.h>
layer make_reorg_layer(int batch, int h, int w, int c, int stride)
layer make_reorg_layer(int batch, int h, int w, int c, int stride, int reverse)
{
layer l = {0};
l.type = REORG;
@ -13,9 +13,15 @@ layer make_reorg_layer(int batch, int h, int w, int c, int stride)
l.h = h;
l.w = w;
l.c = c;
l.out_w = w*stride;
l.out_h = h*stride;
l.out_c = c/(stride*stride);
if(reverse){
l.out_w = w*stride;
l.out_h = h*stride;
l.out_c = c/(stride*stride);
}else{
l.out_w = w/stride;
l.out_h = h/stride;
l.out_c = c*(stride*stride);
}
fprintf(stderr, "Reorg Layer: %d x %d x %d image -> %d x %d x %d image, \n", w,h,c,l.out_w, l.out_h, l.out_c);
l.outputs = l.out_h * l.out_w * l.out_c;
l.inputs = h*w*c;
@ -25,13 +31,13 @@ layer make_reorg_layer(int batch, int h, int w, int c, int stride)
l.forward = forward_reorg_layer;
l.backward = backward_reorg_layer;
#ifdef GPU
#ifdef GPU
l.forward_gpu = forward_reorg_layer_gpu;
l.backward_gpu = backward_reorg_layer_gpu;
l.output_gpu = cuda_make_array(l.output, output_size);
l.delta_gpu = cuda_make_array(l.delta, output_size);
#endif
#endif
return l;
}
@ -52,12 +58,12 @@ void resize_reorg_layer(layer *l, int w, int h)
l->output = realloc(l->output, output_size * sizeof(float));
l->delta = realloc(l->delta, output_size * sizeof(float));
#ifdef GPU
#ifdef GPU
cuda_free(l->output_gpu);
cuda_free(l->delta_gpu);
l->output_gpu = cuda_make_array(l->output, output_size);
l->delta_gpu = cuda_make_array(l->delta, output_size);
#endif
#endif
}
void forward_reorg_layer(const layer l, network_state state)
@ -107,11 +113,19 @@ void backward_reorg_layer(const layer l, network_state state)
#ifdef GPU
void forward_reorg_layer_gpu(layer l, network_state state)
{
reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu);
if(l.reverse){
reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 1, l.output_gpu);
}else {
reorg_ongpu(state.input, l.w, l.h, l.c, l.batch, l.stride, 0, l.output_gpu);
}
}
void backward_reorg_layer_gpu(layer l, network_state state)
{
reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
if(l.reverse){
reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 0, state.delta);
}else{
reorg_ongpu(l.delta_gpu, l.w, l.h, l.c, l.batch, l.stride, 1, state.delta);
}
}
#endif