Disable burn_in for FP16 Tensor Cores
| | |
| | | demo_classes = classes; |
| | | demo_thresh = thresh; |
| | | printf("Demo\n"); |
| | | net = parse_network_cfg_custom(cfgfile, 1); |
| | | net = parse_network_cfg_custom(cfgfile, 1); // set batch=1 |
| | | if(weightfile){ |
| | | load_weights(&net, weightfile); |
| | | } |
| | | set_batch_network(&net, 1); |
| | | //set_batch_network(&net, 1); |
| | | fuse_conv_batchnorm(net); |
| | | srand(2222222); |
| | | |
| | |
| | | #else |
| | | loss = train_network(net, train); |
| | | #endif |
| | | if (avg_loss < 0) avg_loss = loss; |
| | | if (avg_loss < 0 || avg_loss != avg_loss) avg_loss = loss; // if(-inf or nan) |
| | | avg_loss = avg_loss*.9 + loss*.1; |
| | | |
| | | i = get_current_batch(net); |
| | |
| | | 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); |
| | | #ifdef CUDNN_HALF |
| | | net->burn_in = 0; |
| | | #endif |
| | | if(net->policy == STEP){ |
| | | net->step = option_find_int(options, "step", 1); |
| | | net->scale = option_find_float(options, "scale", 1); |