import torch


class BaseModel(torch.nn.Module):
    def load(self, path):
        """Load model from file.

        Args:
            path (str): file path
        """
        parameters = torch.load(path)

        if "optimizer" in parameters:
            parameters = parameters["model"]

        self.load_state_dict(parameters)

@@ -198,16 +198,50 @@
 oad(path
+, map_location=torch.device('cpu')
 )%0A%0A     

fix error on cpu execution