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

Before Change

            x_batch = Variable(batch)
            if cuda_device is not None:
                x_batch = x_batch.cuda(cuda_device)
            batch_pred = self(x_batch)
            preds.append(batch_pred.data)
        self.train()
        return Variable(torch.cat(preds))

After Change

                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:
                input_batch = [ins.cuda(cuda_device) for ins in input_batch]

Instances