Source code for compressai.transforms.point.to_dict

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from typing import Any, Dict

import torch

from torch_geometric.data import Data
from torch_geometric.data.datapipes import functional_transform
from torch_geometric.transforms import BaseTransform

from compressai.registry import register_transform


[docs] @functional_transform("to_dict") @register_transform("ToDict") class ToDict(BaseTransform): r"""Convert :obj:`Mapping[str, Any]` (functional name: :obj:`to_dict`). """ def __init__(self, *, wrapper="dict"): if wrapper == "dict": self.wrap = dict elif wrapper == "torch_geometric.data.Data": self.wrap = Data else: raise ValueError(f"Unknown wrapper: {wrapper}") def __call__(self, data) -> Dict[str, Any]: data = { k: v if isinstance(v, torch.Tensor) else torch.tensor(v) for k, v in data.items() } return self.wrap(**data)