code: def _convolve1d2o_gpu(
      inp,
      out,
      ker,
      mode,
  ):
      d_inp = cp.asarray(inp)
      d_kernel = cp.asarray(ker)
  
      threadsperblock, blockspergrid = _get_tpb_bpg()
  
      k_type = "convolve1D2O"
  
      _populate_kernel_cache(out.dtype, k_type)
  
      kernel = _get_backend_kernel(
          out.dtype,
          blockspergrid,
          threadsperblock,
          k_type,
      )
  
      kernel(d_inp, d_kernel, mode, out)
  
      _print_atts(kernel)
  
      return out
  
imports: import cupy
  import numpy
  from ..utils._caches import _cupy_kernel_cache
  from ..utils.helper_tools import _get_function, _get_tpb_bpg, _print_atts
  from .convolution_utils import CIRCULAR, FULL, PAD, REFLECT, SAME, VALID, _bvalfromboundary, _iDivUp, _valfrommode
label_desc: Use image node_id 7 for calling a global function with example usage: _convolve1d2o_gpu(inp, out, ker, mode) and returns: out