Source code for torch_geometric.transforms.constant

from typing import Union

import torch

from import Data, HeteroData
from import functional_transform
from torch_geometric.transforms import BaseTransform

[docs]@functional_transform('constant') class Constant(BaseTransform): r"""Adds a constant value to each node feature :obj:`x` (functional name: :obj:`constant`). Args: value (float, optional): The value to add. (default: :obj:`1.0`) cat (bool, optional): If set to :obj:`False`, all existing node features will be replaced. (default: :obj:`True`) """ def __init__(self, value: float = 1.0, cat: bool = True): self.value = value = cat def __call__(self, data: Union[Data, HeteroData]): for store in data.node_stores: c = torch.full((store.num_nodes, 1), self.value, dtype=torch.float) if hasattr(store, 'x') and x = store.x.view(-1, 1) if store.x.dim() == 1 else store.x store.x =[x,, x.dtype)], dim=-1) else: store.x = c return data def __repr__(self) -> str: return f'{self.__class__.__name__}(value={self.value})'