void resize_maxpool_layer(maxpool_layer *l, int w, int h)
{
int stride = l->stride;
l->h = h;
l->w = w;
l->inputs = h*w*l->c;
l->out_w = (w-1)/stride + 1;
l->out_h = (h-1)/stride + 1;
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
}
maxpool_layer make_maxpool_layer(int batch, int h, int w, int c, int size, int stride, int padding)
{
maxpool_layer l = {};
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 = (int*)calloc(output_size, sizeof(int));
l.output = (float*)calloc(output_size, sizeof(float));
l.delta = (float*)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;
}
maxpool_layer make_maxpool_layer_show(int batch, int h, int w, int c, int size, int stride, int show)
{
//fprintf(stderr, "Maxpool Layer: %d x %d x %d image, %d size, %d stride\n", h,w,c,size,stride);
maxpool_layer l = { 0 };
l.type = MAXPOOL;
l.batch = batch;
l.h = h;
l.w = w;
l.c = c;
l.out_w = (w - 1) / stride + 1;
l.out_h = (h - 1) / stride + 1;
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));
#ifdef 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
if (show){
fprintf(stderr, "Maxpool Layer: %d x %d x %d image, %d size, %d stride -> %d x %d x %d image\n", h, w, c, size, stride, l.out_h, l.out_w, l.out_c);
}
return l;
}
layer make_compact_layer(int batch, int splits, int method, int w, int h, int c)
{
fprintf(stderr,"Compact Layer: Split and merge channels in %d groups. %d %d %d\n", splits,w ,h ,c);
layer l = {0};
l.type = COMPACT;
l.batch = batch;
l.w = w;
l.h = h;
l.c = c;
l.out_w = w;
l.out_h = h;
if (method<10)
{
l.out_c = c/splits;
} else
{
l.out_c = c;
}
l.outputs = l.out_w * l.out_h * l.out_c;
l.inputs = w*h*c;
l.index = splits;
l.method = method;
l.delta = calloc(l.outputs*batch, sizeof(float));
l.output = calloc(l.outputs*batch, sizeof(float));;
l.indexes = calloc(l.outputs*batch, sizeof(int));
#ifdef GPU
l.delta_gpu = cuda_make_array(l.delta, l.outputs*batch);
l.output_gpu = cuda_make_array(l.output, l.outputs*batch);
l.indexes_gpu = cuda_make_int_array(l.outputs*batch);
#endif
return l;
}
