import torch
[docs]class Constant(object):
r"""Adds a constant value to each node feature.
Args:
value (int, optional): The value to add. (default: :obj:`1`)
cat (bool, optional): If set to :obj:`False`, all existing node
features will be replaced. (default: :obj:`True`)
"""
def __init__(self, value=1, cat=True):
self.value = value
self.cat = cat
def __call__(self, data):
x = data.x
c = torch.full((data.num_nodes, 1), self.value)
if x is not None and self.cat:
x = x.view(-1, 1) if x.dim() == 1 else x
data.x = torch.cat([x, c.to(x.dtype).to(x.device)], dim=-1)
else:
data.x = c
return data
def __repr__(self):
return '{}(value={})'.format(self.__class__.__name__, self.value)