How can I apply a linear transformation on sparse matrix in PyTorch?

In PyTorch, we have nn.linear that applies a linear transformation to the incoming data:

y = WA+b

In this formula, W and b are our learnable parameters and A is my input data matrix. The matrix 'A' for my case is too large for RAM to complete loading, so I use it sparsely. Is it possible to perform such an operation on sparse matrices using PyTorch?