code: def choose_conv_method(in1, in2, mode="full"):
      """Find the fastest convolution/correlation method.
  
      Args:
          in1 (cupy.ndarray): first input.
          in2 (cupy.ndarray): second input.
          mode (str, optional): ``'valid'``, ``'same'``, ``'full'``.
  
      Returns:
          str: A string indicating which convolution method is fastest,
          either ``'direct'`` or ``'fft'``.
  
      .. warning::
          This function currently doesn't support measure option,
          nor multidimensional inputs. It does not guarantee
          the compatibility of the return value to SciPy's one.
  
      .. seealso:: :func:`scipy.signal.choose_conv_method`
  
      """
      return cupy._math.misc._choose_conv_method(in1, in2, mode)
  
imports: import warnings
  import cupy
  from cupy._core import internal
  from cupy.linalg import lstsq
  import cupyx.scipy.fft
  from cupyx.scipy.ndimage import _util
  from cupyx.scipy.ndimage import _filters
  from cupyx.scipy.signal import _signaltools_core
  from cupyx.scipy.signal._arraytools import const_ext, even_ext, odd_ext, axis_reverse, axis_slice, axis_assign
  from cupyx.scipy.signal._iir_utils import apply_iir, apply_iir_sos, compute_correction_factors, compute_correction_factors_sos
label_desc: Use image node_id 5 for calling a global function with example usage: choose_conv_method(in1, in2, mode) and returns: cupy