code: def matmul(a: T.handle, b: T.handle, c: T.handle) -> None:
      A = T.match_buffer(a, [128, 128])
      B = T.match_buffer(b, [128, 128])
      C = T.match_buffer(c, [128, 128])
      for i, j, k in T.grid(128, 128, 128):
          with T.block("matmul"):
              vi, vj, vk = T.axis.remap("SSR", [i, j, k])
              with T.init():
                  C[vi, vj] = 0.0
              C[vi, vj] = C[vi, vj] + A[vi, vk] * B[vk, vj]
  
file_path: tvm/tests/python/runtime/test_evaluator_with_preproc.py
imports: import tvm
  from tvm import te
  from tvm.script import tir
  import tvm.testing
  import numpy
  import pytest
label_desc: Use image node_id 1 for calling a global function with example usage: matmul(a, b, c) without return types