From 2ce6460c79e06caa33eab3991ee3e7fd9f0909d6 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 10 Apr 2018 18:08:24 +0000
Subject: [PATCH] Remove truth only if smaller than 1x1 pix during training
---
src/maxpool_layer.c | 154 +++++++++++++++++++++++++++++++++++----------------
1 files changed, 105 insertions(+), 49 deletions(-)
diff --git a/src/maxpool_layer.c b/src/maxpool_layer.c
index ccf9bee..031d116 100644
--- a/src/maxpool_layer.c
+++ b/src/maxpool_layer.c
@@ -1,71 +1,127 @@
#include "maxpool_layer.h"
+#include "cuda.h"
#include <stdio.h>
-image get_maxpool_image(maxpool_layer layer)
+image get_maxpool_image(maxpool_layer l)
{
- 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);
+ int h = l.out_h;
+ int w = l.out_w;
+ int c = l.c;
+ return float_to_image(w,h,c,l.output);
}
-image get_maxpool_delta(maxpool_layer layer)
+image get_maxpool_delta(maxpool_layer l)
{
- 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);
+ int h = l.out_h;
+ int w = l.out_w;
+ int c = l.c;
+ return float_to_image(w,h,c,l.delta);
}
-maxpool_layer *make_maxpool_layer(int h, int w, int c, int stride)
+maxpool_layer make_maxpool_layer(int batch, int h, int w, int c, int size, int stride, int padding)
{
- fprintf(stderr, "Maxpool Layer: %d x %d x %d image, %d stride\n", h,w,c,stride);
- maxpool_layer *layer = calloc(1, sizeof(maxpool_layer));
- layer->h = h;
- 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));
- return layer;
+ maxpool_layer l = {0};
+ l.type = MAXPOOL;
+ l.batch = batch;
+ l.h = h;
+ l.w = w;
+ l.c = c;
+ l.pad = padding;
+ l.out_w = (w + 2*padding)/stride;
+ l.out_h = (h + 2*padding)/stride;
+ l.out_c = c;
+ l.outputs = l.out_h * l.out_w * l.out_c;
+ l.inputs = h*w*c;
+ l.size = size;
+ l.stride = stride;
+ int output_size = l.out_h * l.out_w * l.out_c * batch;
+ l.indexes = calloc(output_size, sizeof(int));
+ l.output = calloc(output_size, sizeof(float));
+ l.delta = calloc(output_size, sizeof(float));
+ l.forward = forward_maxpool_layer;
+ l.backward = backward_maxpool_layer;
+ #ifdef GPU
+ l.forward_gpu = forward_maxpool_layer_gpu;
+ l.backward_gpu = backward_maxpool_layer_gpu;
+ l.indexes_gpu = cuda_make_int_array(output_size);
+ l.output_gpu = cuda_make_array(l.output, output_size);
+ l.delta_gpu = cuda_make_array(l.delta, output_size);
+ #endif
+ fprintf(stderr, "max %d x %d / %d %4d x%4d x%4d -> %4d x%4d x%4d\n", size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c);
+ return l;
}
-void forward_maxpool_layer(const maxpool_layer layer, double *in)
+void resize_maxpool_layer(maxpool_layer *l, int w, int h)
{
- image input = double_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);
- if(val > cur) set_pixel(output, i/layer.stride, j/layer.stride, k, val);
+ l->h = h;
+ l->w = w;
+ l->inputs = h*w*l->c;
+
+ l->out_w = (w + 2*l->pad)/l->stride;
+ l->out_h = (h + 2*l->pad)/l->stride;
+ l->outputs = l->out_w * l->out_h * l->c;
+ int output_size = l->outputs * l->batch;
+
+ l->indexes = realloc(l->indexes, output_size * sizeof(int));
+ l->output = realloc(l->output, output_size * sizeof(float));
+ l->delta = realloc(l->delta, output_size * sizeof(float));
+
+ #ifdef GPU
+ cuda_free((float *)l->indexes_gpu);
+ cuda_free(l->output_gpu);
+ cuda_free(l->delta_gpu);
+ l->indexes_gpu = cuda_make_int_array(output_size);
+ l->output_gpu = cuda_make_array(l->output, output_size);
+ l->delta_gpu = cuda_make_array(l->delta, output_size);
+ #endif
+}
+
+void forward_maxpool_layer(const maxpool_layer l, network_state state)
+{
+ int b,i,j,k,m,n;
+ int w_offset = -l.pad;
+ int h_offset = -l.pad;
+
+ int h = l.out_h;
+ int w = l.out_w;
+ int c = l.c;
+
+ for(b = 0; b < l.batch; ++b){
+ for(k = 0; k < c; ++k){
+ for(i = 0; i < h; ++i){
+ for(j = 0; j < w; ++j){
+ int out_index = j + w*(i + h*(k + c*b));
+ float max = -FLT_MAX;
+ int max_i = -1;
+ for(n = 0; n < l.size; ++n){
+ for(m = 0; m < l.size; ++m){
+ int cur_h = h_offset + i*l.stride + n;
+ int cur_w = w_offset + j*l.stride + m;
+ int index = cur_w + l.w*(cur_h + l.h*(k + b*l.c));
+ int valid = (cur_h >= 0 && cur_h < l.h &&
+ cur_w >= 0 && cur_w < l.w);
+ float val = (valid != 0) ? state.input[index] : -FLT_MAX;
+ max_i = (val > max) ? index : max_i;
+ max = (val > max) ? val : max;
+ }
+ }
+ l.output[out_index] = max;
+ l.indexes[out_index] = max_i;
+ }
}
}
}
}
-void backward_maxpool_layer(const maxpool_layer layer, double *in, double *delta)
+void backward_maxpool_layer(const maxpool_layer l, network_state state)
{
- 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 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);
- if(val == cur) {
- set_pixel(input_delta, i, j, k, d);
- }
- else set_pixel(input_delta, i, j, k, 0);
- }
- }
+ int i;
+ int h = l.out_h;
+ int w = l.out_w;
+ int c = l.c;
+ for(i = 0; i < h*w*c*l.batch; ++i){
+ int index = l.indexes[i];
+ state.delta[index] += l.delta[i];
}
}
--
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