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Add torch.no_grad for evaluation
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@@ -208,12 +208,13 @@ class GRU(Model):
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feature = torch.from_numpy(x_values[indices[i : i + self.batch_size]]).float().to(self.device)
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label = torch.from_numpy(y_values[indices[i : i + self.batch_size]]).float().to(self.device)
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pred = self.gru_model(feature)
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loss = self.loss_fn(pred, label)
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losses.append(loss.item())
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with torch.no_grad():
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pred = self.gru_model(feature)
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loss = self.loss_fn(pred, label)
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losses.append(loss.item())
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score = self.metric_fn(pred, label)
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scores.append(score.item())
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score = self.metric_fn(pred, label)
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scores.append(score.item())
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return np.mean(losses), np.mean(scores)
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