code: def forward(
      ctx, a, b, row_indices, row_offsets, column_indices, _transp_info
  ):
      out = _sddmm_func(a, b, row_indices, row_offsets, column_indices)
  
      ctx.save_for_backward(
          a, b, row_indices, row_offsets, column_indices, *_transp_info
      )
      return out
  
file_path: xformers/xformers/sparse/_csr_ops.py
imports: import torch
  from .utils import _csr_to_coo, _transpose_with_info
label_desc: Use image node_id 1 for calling the _sddmm obj's underlying member method code with example usage: obj.forward(ctx, a, b, row_indices, row_offsets, column_indices, _transp_info) and returns: out