code: def dp4a_impl(
      A: T.Buffer(
          (4,), "int8", offset_factor=1, align=4, scope="shared"
      ),
      B: T.Buffer(
          (4,), "int8", offset_factor=1, align=4, scope="shared"
      ),
      C: T.Buffer(
          (1,), "int32", offset_factor=1, align=4, scope="local"
      ),
  ) -> None:
      with T.block("root"):
          T.reads(C[0], A[0:4], B[0:4])
          T.writes(C[0])
  
          C[0] += T.call_pure_extern(
              "__dp4a",
              A.vload([0], "int8x4"),
              B.vload([0], "int8x4"),
              T.int32(0),
              dtype="int32",
          )
  
imports: from tvm.script import tir
  from ..None import TensorIntrin
label_desc: Use image node_id 2 for calling a global function with example usage: dp4a_impl(A, B, C) without return types