code: def _fp16_matmul_prune_config(
      configs, named_args, skip_autotune=SKIP_AUTOTUNE
  ):
      if skip_autotune:
          configs = [configs[0]]
      else:
          configs = _triton_ops_matmul_early_config_prune(
              configs, named_args
          )
      return configs
  
file_path: DeepSpeed/deepspeed/ops/transformer/inference/triton/triton_matmul_kernel.py
imports: import triton
  import triton.language
  from .gelu import gelu_functor
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: _fp16_matmul_prune_config(configs, named_args, skip_autotune) and returns: configs