code: def forward(self, hidden_states, attention_mask):
      if self.checkpoint:
          return checkpoint(
              self._forward, False, hidden_states, attention_mask
          )
      else:
          return self._forward(hidden_states, attention_mask)
  
imports: import math
  import torch
  from torch import Tensor
  from torch import nn
  from colossalai import kernel
  from colossalai import nn
  from colossalai.kernel.cuda_native.scaled_softmax import AttnMaskType
  from colossalai.legacy.core import global_context
  from colossalai.legacy.nn.layer import Linear1D_Col, Linear1D_Row
  from colossalai.legacy.nn.layer.base_layer import ParallelLayer
  from colossalai.legacy.nn.layer.utils import ACT2FN, divide
  from colossalai.legacy.utils.activation_checkpoint import checkpoint
  from colossalai.utils import checkpoint
label_desc: Use image node_id 3 for calling the GenericGPTTransformerLayer1D obj's underlying member method code with example usage: obj.forward(hidden_states, attention_mask) and returns: checkpoint, self