class_docstr: LoKr implemented in Linear layer
class_docstr_tok: ["LoKr","implemented","in","Linear","layer"]
code: def _get_delta_activations(
      self,
      adapter_name: str,
      input: torch.Tensor,
      *args: Any,
      **kwargs: Any,
  ) -> torch.Tensor:
      delta_weight = self.get_delta_weight(adapter_name)
      # don't add bias here, because the bias is already included in the output of the base_layer
      return F.linear(input, delta_weight)
  
imports: import math
  from typing import Any, Optional, Set, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from peft.tuners.lycoris_utils import LycorisLayer
label_desc: Use image node_id 2 for calling the Linear obj's underlying member method code with example usage: obj._get_delta_activations(adapter_name, input) and returns: F