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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int output_size = ((h-1)/stride+1) * ((w-1)/stride+1) * c * batch;
layer->indexes = calloc(output_size, sizeof(int));
layer->output = calloc(output_size, sizeof(float));
layer->delta = calloc(output_size, sizeof(float));
#ifdef GPU
layer->indexes_cl = cl_make_int_array(layer->indexes, output_size);
layer->output_cl = cl_make_array(layer->output, output_size);
layer->delta_cl = cl_make_array(layer->delta, output_size);
#endif
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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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void forward_maxpool_layer(const maxpool_layer layer, float *input)
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{
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int b,i,j,k,l,m;
int w_offset = (-layer.size-1)/2 + 1;
int h_offset = (-layer.size-1)/2 + 1;
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int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
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for(b = 0; b < layer.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(l = 0; l < layer.size; ++l){
for(m = 0; m < layer.size; ++m){
int cur_h = h_offset + i*layer.stride + l;
int cur_w = w_offset + j*layer.stride + m;
int index = cur_w + layer.w*(cur_h + layer.h*(k + b*layer.c));
int valid = (cur_h >= 0 && cur_h < layer.h &&
cur_w >= 0 && cur_w < layer.w);
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float val = (valid != 0) ? input[index] : -FLT_MAX;
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max_i = (val > max) ? index : max_i;
max = (val > max) ? val : max;
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}
}
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layer.output[out_index] = max;
layer.indexes[out_index] = max_i;
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}
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}
}
}
}
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void backward_maxpool_layer(const maxpool_layer layer, float *delta)
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{
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int i;
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
memset(delta, 0, layer.batch*layer.h*layer.w*layer.c*sizeof(float));
for(i = 0; i < h*w*c*layer.batch; ++i){
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int index = layer.indexes[i];
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delta[index] += layer.delta[i];
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}
}
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#ifdef GPU
cl_kernel get_forward_kernel()
{
static int init = 0;
static cl_kernel kernel;
if(!init){
kernel = get_kernel("src/maxpool_layer.cl", "forward", 0);
init = 1;
}
return kernel;
}
void forward_maxpool_layer_gpu(maxpool_layer layer, cl_mem input)
{
int h = (layer.h-1)/layer.stride + 1;
int w = (layer.w-1)/layer.stride + 1;
int c = layer.c;
cl_kernel kernel = get_forward_kernel();
cl_command_queue queue = cl.queue;
cl_uint i = 0;
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.h), (void*) &layer.h);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.w), (void*) &layer.w);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.c), (void*) &layer.c);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.stride), (void*) &layer.stride);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.size), (void*) &layer.size);
cl.error = clSetKernelArg(kernel, i++, sizeof(input), (void*) &input);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.output_cl), (void*) &layer.output_cl);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.indexes_cl), (void*) &layer.indexes_cl);
check_error(cl);
const size_t global_size[] = {h*w*c*layer.batch};
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cl.error = clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0);
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check_error(cl);
}
cl_kernel get_backward_kernel()
{
static int init = 0;
static cl_kernel kernel;
if(!init){
kernel = get_kernel("src/maxpool_layer.cl", "backward", 0);
init = 1;
}
return kernel;
}
void backward_maxpool_layer_gpu(maxpool_layer layer, cl_mem delta)
{
cl_kernel kernel = get_backward_kernel();
cl_command_queue queue = cl.queue;
cl_uint i = 0;
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.h), (void*) &layer.h);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.w), (void*) &layer.w);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.c), (void*) &layer.c);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.stride), (void*) &layer.stride);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.size), (void*) &layer.size);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.delta_cl), (void*) &layer.delta_cl);
cl.error = clSetKernelArg(kernel, i++, sizeof(delta), (void*) &delta);
cl.error = clSetKernelArg(kernel, i++, sizeof(layer.indexes_cl), (void*) &layer.indexes_cl);
check_error(cl);
const size_t global_size[] = {layer.h*layer.w*layer.c*layer.batch};
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cl.error = clEnqueueNDRangeKernel(queue, kernel, 1, 0, global_size, 0, 0, 0, 0);
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check_error(cl);
}
#endif