content: from typing import Optional
  
  from tensorrt import ITensor as TRTTensor
  from torch.fx.node import Target
  from torch_tensorrt.dynamo._SourceIR import SourceIR
  from torch_tensorrt.dynamo.conversion._ConversionContext import ConversionContext
  from torch_tensorrt.dynamo.conversion.converter_utils import set_layer_name
  
  
  def prelu(
      ctx: ConversionContext,
      target: Target,
      source_ir: Optional[SourceIR],
      name: str,
      input: TRTTensor,
      weight: TRTTensor,
  ) -> TRTTensor:
      layer = ctx.net.add_parametric_relu(input, weight)
      set_layer_name(layer, target, name, source_ir)
      return layer.get_output(0)
  