code: def conv1d_transpose_strategy_cuda(attrs, inputs, out_type, target):
      """conv1d_transpose cuda strategy"""
      strategy = _op.OpStrategy()
      layout = attrs.data_layout
      dilation = get_const_tuple(attrs.dilation)
      groups = attrs.groups
      assert layout == "NCW", "conv1d_transpose ncw only supported"
      assert dilation == (
          1,
      ), "conv1d_transpose dilation is not supported"
      assert groups == 1, "conv1d_transpose groups == 1 only supported"
      strategy.add_implementation(
          wrap_compute_conv1d_transpose(topi.cuda.conv1d_transpose_ncw),
          wrap_topi_schedule(topi.cuda.schedule_conv1d_transpose_ncw),
          name="conv1d_transpose_ncw.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 21 for calling a global function with example usage: conv1d_transpose_strategy_cuda(attrs, inputs, out_type, target) and returns: strategy