code: def conv3d_transpose_strategy_cpu(attrs, inputs, out_type, target):
      """conv3d_transpose x86 strategy"""
      layout = attrs.data_layout
      dilation = get_const_tuple(attrs.dilation)
      groups = attrs.groups
      assert layout == "NCDHW", "only support ncdhw for now"
      assert dilation == (1, 1, 1), "not support dilate now"
      assert groups == 1, "only support groups == 1 for now"
      strategy = _op.OpStrategy()
      strategy.add_implementation(
          wrap_compute_conv3d_transpose(
              topi.x86.conv3d_transpose_ncdhw
          ),
          wrap_topi_schedule(topi.x86.schedule_conv3d_transpose_ncdhw),
          name="conv3d_transpose_ncdhw.x86",
      )
      return strategy
  
imports: import logging
  import re
  from tvm import tir, topi
  from tvm.auto_scheduler import is_auto_scheduler_enabled
  from tvm.meta_schedule import is_meta_schedule_enabled
  from tvm.relay.ty import is_dynamic
  from tvm.te import SpecializedCondition
  from ..None import op
  from .generic import *
label_desc: Use image node_id 12 for calling a global function with example usage: conv3d_transpose_strategy_cpu(attrs, inputs, out_type, target) and returns: strategy