code: def vector_matmul_func(
      input, weight, async_op, q_scale, q_int8, transposed_mode
  ):
      assert not transposed_mode and not async_op and not q_int8
      return matmul_ext.matmul(
          input, weight, bias=None, activation="", use_triton=True
      )
  
file_path: deepspeed/deepspeed/ops/transformer/inference/triton/ops.py
imports: import deepspeed
  from deepspeed.ops.op_builder import InferenceBuilder
  import deepspeed.ops.transformer.inference.triton.matmul_ext
  from deepspeed.ops.transformer.inference.triton.layer_norm import layer_norm, layer_norm_residual
label_desc: Use image node_id 1 for calling a global function with example usage: vector_matmul_func(input, weight, async_op, q_scale, q_int8, transposed_mode) and returns: matmul_ext