code: def forward(
      ctx,
      input,
      input_mask,
      config,
  ):
      cuda_module = cuda_layer_module
      forward_func = (
          cuda_module.transformer_encoder_layer_fw_fp16
          if config.fp16
          else cuda_module.transformer_encoder_layer_fw_fp32
      )
      if config.fp16:
          input = input.to(torch.half)
          input_mask = input_mask.to(torch.half)
  
      (output,) = forward_func(config.layer_id, input, input_mask)
  
      return output
  
imports: import torch
  from csrc.pytorch.builder.cuda_layer_builder import CudaLayerBuilder
label_desc: Use image node_id 1 for calling the SdpaLayerFunc obj's underlying member method code with example usage: obj.forward(ctx, input, input_mask, config) and returns: output