Source code for gluonts.torch.batchify

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# Licensed under the Apache License, Version 2.0 (the "License").
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from typing import List, Optional

import numpy as np
import torch

from gluonts.dataset.common import DataBatch


[docs]def stack(data, device: Optional[torch.device] = None): if isinstance(data[0], np.ndarray): data = torch.tensor(data, device=device) elif isinstance(data[0], (list, tuple)): return list(stack(t, device=device) for t in zip(*data)) return data
[docs]def batchify( data: List[dict], device: Optional[torch.device] = None ) -> DataBatch: return { key: stack(data=[item[key] for item in data], device=device) for key in data[0].keys() }