code: def tile_and_bind(s, tensor, y, x, y_factor, x_factor=None):
      """tile and bind to GPU threads"""
      x_factor = x_factor or y_factor
      yo, xo, yi, xi = s[tensor].tile(y, x, y_factor, x_factor)
      s[tensor].bind(xo, te.thread_axis("blockIdx.x"))
      s[tensor].bind(xi, te.thread_axis("threadIdx.x"))
      s[tensor].bind(yo, te.thread_axis("blockIdx.y"))
      s[tensor].bind(yi, te.thread_axis("threadIdx.y"))
      return yo, xo, yi, xi
  
imports: import logging
  import tvm
  from tvm import te
  from tvm import relay
  from tvm import autotvm
  from tvm.autotvm.task.space import get_factors
  from ..utils import traverse_inline, get_const_int, get_const_tuple
  from ..None import nn
  from ..nn.winograd_util import winograd_transform_matrices
  from ..nn.conv2d import conv2d_winograd_nhwc, _conv2d_winograd_nhwc_impl
  from ..arm_cpu.conv2d_spatial_pack import conv2d_spatial_pack_nchw
  from ..arm_cpu.conv2d_spatial_pack import conv2d_spatial_pack_nhwc
label_desc: Use image node_id 13 for calling a global function with example usage: tile_and_bind(s, tensor, y, x, y_factor, x_factor) and returns: yo,  xo,  yi,  xi