eval_model_stg6_metrics.py File Reference

Namespaces
namespace	eval_model_stg6_metrics

Functions
	eval_model_stg6_metrics.test (dataloader, model, device, loss_name)
	eval_model_stg6_metrics.val_setup (dataloader_val, model, device)
	eval_model_stg6_metrics.main ()

Variables
	eval_model_stg6_metrics.parser = argparse.ArgumentParser(description=constants.script_description)
	eval_model_stg6_metrics.type
	eval_model_stg6_metrics.args = parser.parse_args()
	eval_model_stg6_metrics.loss_threshold = float("-inf")
int	eval_model_stg6_metrics.qp = 32
	eval_model_stg6_metrics.batch_size = args.batch
	eval_model_stg6_metrics.device = args.dev
	eval_model_stg6_metrics.num_workers = args.workers
	eval_model_stg6_metrics.n_mod = args.nmod
	eval_model_stg6_metrics.l_path_val = args.labels
list	eval_model_stg6_metrics.rs = [0.3, 0.5]
	eval_model_stg6_metrics.writer = SummaryWriter("runs/MSECNN_Eval_"+n_mod)
str	eval_model_stg6_metrics.files_mod_name_stats = "_multi_batch_val_batch_{batch}_QP_{QP}_{nmod}".format(batch=batch_size, QP=qp, nmod=n_mod)