code: def deformable_conv2d_strategy_cuda(attrs, inputs, out_type, target):
      """deformable_conv2d cuda strategy"""
      layout = attrs.data_layout
      strategy = _op.OpStrategy()
  
      if layout == "NCHW":
          strategy.add_implementation(
              wrap_compute_deformable_conv2d(
                  topi.cuda.deformable_conv2d_nchw
              ),
              wrap_topi_schedule(
                  topi.cuda.schedule_deformable_conv2d_nchw
              ),
              name="deformable_conv2d_nchw.cuda",
          )
      elif layout == "NHWC":
          # This implementation should never be picked by autotvm
          strategy.add_implementation(
              wrap_compute_deformable_conv2d(
                  topi.nn.deformable_conv2d_nhwc
              ),
              naive_schedule,
              name="deformable_conv2d_nhwc.cuda",
          )
      else:
          raise RuntimeError(
              f"Layout {layout} is not supported in deformable conv2d on CUDA"
          )
      return strategy
  
imports: from tvm import topi
  from tvm.auto_scheduler import is_auto_scheduler_enabled
  from tvm.contrib import nvcc
  from tvm.contrib.thrust import can_use_thrust
  from tvm.meta_schedule import is_meta_schedule_enabled
  from tvm.te import SpecializedCondition
  from ....target import Target
  from ....tir import IntImm
  from ..None import op
  from .generic import *
label_desc: Use image node_id 14 for calling a global function with example usage: deformable_conv2d_strategy_cuda(attrs, inputs, out_type, target) and returns: strategy