code: def save_attn_gradients(self, attn_gradients):
      self.attn_gradients = attn_gradients
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  from timm.models.vision_transformer import _cfg, PatchEmbed
  from timm.models.registry import register_model
  from timm.models.layers import trunc_normal_, DropPath
  from timm.models.helpers import named_apply, adapt_input_conv
  from fairscale.nn.checkpoint.checkpoint_activations import checkpoint_wrapper
label_desc: Use image node_id 2 for calling the Attention obj's underlying member method code with example usage: obj.save_attn_gradients(attn_gradients) without return types