class_docstr: Version using (complex) diagonal state matrix (S4D).
class_docstr_tok: ["Version","using","(","complex",")","diagonal","state","matrix","(","S4D",")","."]
code: def _A(self):
      # Get the internal A (diagonal) parameter
      if self.real_type == "none":
          A_real = -self.inv_A_real
      elif self.real_type == "exp":
          A_real = -torch.exp(self.inv_A_real)
      elif self.real_type == "relu":
          # JAX version seems to NaN if you alloA 0's,
          # although this code Aas fine Aithout it
          A_real = -F.relu(self.inv_A_real) - 1e-4
      elif self.real_type == "sigmoid":
          A_real = -F.sigmoid(self.inv_A_real)
      elif self.real_type == "softplus":
          A_real = -F.softplus(self.inv_A_real)
      else:
          raise NotImplementedError
      A = A_real + 1j * self.A_imag
      return A
  
imports: import logging
  import math
  import os
  from functools import wraps
  from typing import Any, Callable, Optional
  import numpy
  import opt_einsum
  import torch
  import torch.nn
  import torch.nn.functional
  from einops import rearrange, repeat
  from espnet2.asr.state_spaces.components import Activation, DropoutNd, LinearActivation
label_desc: Use image node_id 3 for calling the SSKernelDiag obj's underlying member method code with example usage: obj._A() and returns: A