code: def schedule_conv2d_nchw(cfg, outs):
      """Create the schedule for conv2d_nchw"""
      outs = [outs] if isinstance(outs, te.tensor.Tensor) else outs
      s = te.create_schedule([x.op for x in outs])
  
      def _callback(op):
          if op.tag == "conv2d_nchw":
              schedule_direct_cuda(cfg, s, op.output(0))
  
      traverse_inline(s, outs[0].op, _callback)
      return s
  
file_path: tvm/python/tvm/topi/cuda/conv2d.py
imports: from tvm import te
  from tvm import autotvm
  from tvm.autotvm.task.space import OtherOptionEntity
  from tvm.contrib import cudnn
  from ..None import nn, generic
  from ..nn.utils import get_pad_tuple
  from ..utils import get_const_tuple, traverse_inline
  from .conv2d_direct import schedule_direct_cuda
label_desc: Use image node_id 2 for calling a global function with example usage: schedule_conv2d_nchw(cfg, outs) and returns: s