2154d789ef0d79debe2cc522751ae7072e8b22dc,torchsample/modules/super_module.py,SuperModule,predict_loader,#SuperModule#Any#Any#Any#,475

Before Change

            batch_pred = self(x_batch)
            preds.append(batch_pred.data)
        self.train()
        return Variable(torch.cat(preds))

    def predict_on_batch(self, 
                         x, 

After Change

                       verbose=1):
        prediction_list = []
        for batch_idx, batch_data in enumerate(loader):
            if not isinstance(batch_data, (tuple,list)):
                batch_data = [batch_data]
            input_batch = batch_data[0]
            if not isinstance(input_batch, (list,tuple)):
                input_batch = [input_batch]
            input_batch = [Variable(ins) for ins in input_batch]
            if cuda_device > -1:

Instances