code: def batch_matmul_tensorcore(
      cfg,
      x,
      y,
      out_shape=None,
      out_dtype=None,
      transpose_a=False,
      transpose_b=True,
  ):
      """batch matmul tensorcore operator on cuda"""
      # TODO(jcf94): Deal with different transpose combinations
      assert not transpose_a and transpose_b
      # TODO(liuxin.ai): Deal with out_shape for broadcast
      del out_shape
      return batch_matmul_tensorcore_cuda(x, y, out_dtype)
  
file_path: tvm/python/tvm/topi/cuda/batch_matmul_tensorcore.py
imports: import tvm
  from tvm import autotvm
  from tvm import te
  from ..utils import traverse_inline, get_const_tuple
  from .tensor_intrin import intrin_wmma_load_matrix_A, intrin_wmma_load_matrix_W, intrin_wmma_store_matrix, intrin_wmma_gemm
label_desc: Use image node_id 1 for calling a global function with example usage: batch_matmul_tensorcore(cfg, x, y, out_shape, out_dtype, transpose_a, transpose_b) and returns: batch_matmul_tensorcore_cuda