Hanrui-Wang

class MyReLU(torch.autograd.Function):
    """
    We can implement our own custom autograd Functions by subclassing
    torch.autograd.Function and implementing the forward and backward passes
    which operate on Tensors.
    """

    @staticmethod
    def forward(ctx, input):
        """

yoyololicon

import torch
import torch.nn as nn
import torch.nn.functional as F
from torchaudio.functional import lfilter as torch_lfilter
from torch.autograd import Function, gradcheck


class lfilter(Function):

    @staticmethod