code: def _resize2d_shape_func(dshape, size, ndim, height_axis, width_axis):
      out = output_tensor((ndim,), "int64")
      for i in const_range(ndim):
          out[i] = int64(dshape[i])
      out[height_axis] = int64(size[0])
      out[width_axis] = int64(size[1])
      return out
  
file_path: tvm/python/tvm/relay/op/dyn/image/_image.py
imports: from __future__ import absolute_import
  import tvm.topi
  from tvm.runtime import convert
  from tvm.te.hybrid import script
  from tvm.topi.utils import nchw_pack_layout, nchw_xc_layout
  from ...None import op
label_desc: Use image node_id 2 for calling a global function with example usage: _resize2d_shape_func(dshape, size, ndim, height_axis, width_axis) and returns: out