code: def conv2d_transpose_strategy_cpu(attrs, inputs, out_type, target):
      """conv2d_transpose x86 strategy"""
      layout = attrs.data_layout
      dilation = get_const_tuple(attrs.dilation)
      groups = attrs.groups
      assert layout == "NCHW", "only support nchw for now"
      assert dilation == (1, 1), "not support dilate now"
      strategy = _op.OpStrategy()
      if groups == 1:
          strategy.add_implementation(
              wrap_compute_conv2d_transpose(
                  topi.x86.conv2d_transpose_nchw
              ),
              wrap_topi_schedule(
                  topi.x86.schedule_conv2d_transpose_nchw
              ),
              name="conv2d_transpose_nchw.x86",
          )
      else:
          strategy.add_implementation(
              wrap_compute_conv2d_transpose(
                  topi.nn.group_conv2d_transpose_nchw, has_groups=True
              ),
              wrap_topi_schedule(
                  topi.generic.schedule_group_conv2d_transpose_nchw
              ),
              name="group_conv2d_transpose_nchw.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 11 for calling a global function with example usage: conv2d_transpose_strategy_cpu(attrs, inputs, out_type, target) and returns: strategy