code: def __init__(
      self, normalized_shape, eps=1e-5, device=None, dtype=None
  ):
      super(MixedFusedLayerNorm, self).__init__()
  
      if isinstance(normalized_shape, numbers.Integral):
          normalized_shape = (normalized_shape,)
      self.normalized_shape = torch.Size(normalized_shape)
      self.eps = eps
      self.weight = Parameter(
          torch.empty(*normalized_shape, device=device, dtype=dtype)
      )
      self.bias = Parameter(
          torch.empty(*normalized_shape, device=device, dtype=dtype)
      )
      self.reset_parameters()
  
file_path: ColossalAI/colossalai/kernel/cuda_native/layer_norm.py
imports: import numbers
  import torch
  from torch.cuda.amp import custom_bwd, custom_fwd
  from torch.nn import init
  from torch.nn.parameter import Parameter
  from colossalai.kernel.op_builder.layernorm import LayerNormBuilder
label_desc: Use image node_id 1 to create a new MixedFusedLayerNorm object from inherited base classes: torch.nn with example: obj = MixedFusedLayerNorm(normalized_shape, eps, device, dtype)