code: def conv2d_nhwc_winograd_tensorcore(
      cfg, data, kernel, strides, padding, dilation, out_dtype
  ):
      """Compute conv2d with winograd for NHWC layout"""
      return nhwc_winograd_cuda(
          cfg,
          data,
          kernel,
          strides,
          padding,
          dilation,
          out_dtype,
          use_tensorcore=True,
          pre_computed=False,
      )
  
file_path: tvm/python/tvm/topi/cuda/conv2d_nhwc_winograd.py
imports: import tvm
  from tvm import autotvm, te
  from ..None import nn
  from ..nn.winograd_util import winograd_transform_matrices
  from ..utils import get_const_int, get_const_tuple, traverse_inline
  from .tensor_intrin import intrin_wmma_gemm, intrin_wmma_load_matrix_A, intrin_wmma_load_matrix_W, intrin_wmma_store_matrix
label_desc: Use image node_id 9 for calling a global function with example usage: conv2d_nhwc_winograd_tensorcore(cfg, data, kernel, strides, padding, dilation, out_dtype) and returns: nhwc_winograd_cuda