code: def group_conv1d_transpose_ncw_python(
      a_np, w_np, stride, padding, output_padding, groups=1
  ):
      "Grouped version of `conv1d_transpose_ncw_python`, see that for documentation"
      a_slices = np.array_split(a_np, groups, axis=1)
      w_slices = np.array_split(w_np, groups, axis=0)
      b_slices = [
          conv1d_transpose_ncw_python(
              a_slice, w_slice, stride, padding, output_padding
          )
          for a_slice, w_slice in zip(a_slices, w_slices)
      ]
      b_np = np.concatenate(b_slices, axis=1)
      return b_np
  
imports: import numpy
  import scipy
  import tvm.topi.testing
  from tvm.topi.nn.utils import get_pad_tuple1d
label_desc: Use image node_id 1 for calling a global function with example usage: group_conv1d_transpose_ncw_python(a_np, w_np, stride, padding, output_padding, groups) and returns: b_np