code: def residual_add_bias_kernel(
      hidden_state_ptr,
      residual_ptr,
      attn_output_ptr,
      hidden_state_size,
      attn_bias_ptr,
      final_bias_ptr,
      bias_size,
      output_ptr,
      mp_size: tl.constexpr,
      mlp_after_attn: tl.constexpr,
      pre_attn_norm: tl.constexpr,
      add_attn_bias: tl.constexpr,
      BLOCK_SIZE: tl.constexpr,
  ):
      pid = tl.program_id(axis=0)
  
      block_start = pid * BLOCK_SIZE
  
      offsets = block_start + tl.arange(0, BLOCK_SIZE)
      mask = offsets < hidden_state_size
  
      bias_offsets = offsets % bias_size
      bias_mask = bias_offsets < bias_size
  
      tl_hidden_state = tl.load(hidden_state_ptr + offsets, mask=mask)
      tl_residual = tl.load(residual_ptr + offsets, mask=mask)
      tl_attn_output = tl.load(attn_output_ptr + offsets, mask=mask)
      tl_attn_bias = tl.load(
          attn_bias_ptr + bias_offsets, mask=bias_mask
      )
      tl_final_bias = tl.load(
          final_bias_ptr + bias_offsets, mask=bias_mask
      )
  
      if mlp_after_attn:
          if pre_attn_norm:
              output = (
                  tl_hidden_state
                  + (
                      tl_residual
                      + tl_final_bias
                      + tl_attn_output
                      + tl_attn_bias
                  )
                  / mp_size
              )
          else:
              output = tl_hidden_state + tl_residual + tl_final_bias
      else:
          output = (
              tl_hidden_state
              + tl_attn_output
              + (tl_residual + tl_final_bias) / mp_size
          )
          if add_attn_bias:
              output += tl_attn_bias / mp_size
  
      tl.store(output_ptr + offsets, output, mask=mask)
  
imports: import torch
  import triton
  import triton.language
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 1 for calling a global function with example usage: residual_add_bias_kernel(hidden_state_ptr, residual_ptr, attn_output_ptr, hidden_state_size, attn_bias_ptr, final_bias_ptr, bias_size, output_ptr, mp_size, mlp_after_attn, pre_attn_norm, add_attn_bias, BLOCK_SIZE) without return types