| | |
| | | layer.softmax = option_find_int(options, "softmax", 0); |
| | | layer.sqrt = option_find_int(options, "sqrt", 0); |
| | | |
| | | layer.max_boxes = option_find_int_quiet(options, "max",30); |
| | | layer.coord_scale = option_find_float(options, "coord_scale", 1); |
| | | layer.forced = option_find_int(options, "forced", 0); |
| | | layer.object_scale = option_find_float(options, "object_scale", 1); |
| | | layer.noobject_scale = option_find_float(options, "noobject_scale", 1); |
| | | layer.class_scale = option_find_float(options, "class_scale", 1); |
| | | layer.jitter = option_find_float(options, "jitter", .2); |
| | | layer.random = option_find_int_quiet(options, "random", 0); |
| | | return layer; |
| | | } |
| | | |
| | |
| | | |
| | | char *policy_s = option_find_str(options, "policy", "constant"); |
| | | net->policy = get_policy(policy_s); |
| | | net->burn_in = option_find_int_quiet(options, "burn_in", 0); |
| | | if(net->policy == STEP){ |
| | | net->step = option_find_int(options, "step", 1); |
| | | net->scale = option_find_float(options, "scale", 1); |
| | |
| | | params.batch = net.batch; |
| | | params.time_steps = net.time_steps; |
| | | |
| | | size_t workspace_size = 0; |
| | | n = n->next; |
| | | int count = 0; |
| | | free_section(s); |
| | |
| | | l.dontloadscales = option_find_int_quiet(options, "dontloadscales", 0); |
| | | option_unused(options); |
| | | net.layers[count] = l; |
| | | if (l.workspace_size > workspace_size) workspace_size = l.workspace_size; |
| | | free_section(s); |
| | | n = n->next; |
| | | ++count; |
| | |
| | | free_list(sections); |
| | | net.outputs = get_network_output_size(net); |
| | | net.output = get_network_output(net); |
| | | if(workspace_size){ |
| | | //printf("%ld\n", workspace_size); |
| | | #ifdef GPU |
| | | net.workspace = cuda_make_array(0, (workspace_size-1)/sizeof(float)+1); |
| | | #else |
| | | net.workspace = calloc(1, workspace_size); |
| | | #endif |
| | | } |
| | | return net; |
| | | } |
| | | |
| | |
| | | } |
| | | } |
| | | } |
| | | binarize_filters2(l.filters, l.n, l.c*l.size*l.size, l.cfilters, l.scales); |
| | | #ifdef GPU |
| | | if(gpu_index >= 0){ |
| | | push_convolutional_layer(l); |
| | |
| | | if (l.flipped) { |
| | | transpose_matrix(l.filters, l.c*l.size*l.size, l.n); |
| | | } |
| | | if (l.binary) binarize_filters(l.filters, l.n, l.c*l.size*l.size, l.filters); |
| | | //if (l.binary) binarize_filters(l.filters, l.n, l.c*l.size*l.size, l.filters); |
| | | #ifdef GPU |
| | | if(gpu_index >= 0){ |
| | | push_convolutional_layer(l); |