from torch_geometric.nn.inits import zeros

The `zeros` function is a weight initialization function from the `torch_geometric.nn.inits` module that initializes the input tensor with zeros. It takes a tensor as an argument and returns a tensor of the same shape initialized with zeros.

For example, suppose we have a tensor `x` of shape (3, 5):

import torch
from torch_geometric.nn.inits import zeros

x = torch.randn(3, 5)
print("Before initialization:", x)

zeros(x)
print("After initialization:", x)

Output:

Before initialization: tensor([[ 0.5984, -0.4796, -0.3161, -1.4763, -0.8963],
                               [-0.2313, -0.0387, -0.6889, -1.1324, -1.2184],
                               [ 0.5594,  0.9734, -1.5858,  0.9216, -0.2421]])
After initialization: tensor([[0., 0., 0., 0., 0.],
                              [0., 0., 0., 0., 0.],
                              [0., 0., 0., 0., 0.]])

As we can see, the `zeros` function has initialized the tensor `x` with zeros. This function is commonly used for bias initialization in neural networks.