code: def forward(
      ctx,
      a,
      b,
      trans_a,
      trans_b,
      trans_c,
      mode,
      spdims,
      block,
      c_lut,
      c_width,
      da_lut,
      da_width,
      db_lut,
      db_width,
      out,
  ):
      c = _matmul.fn[mode](
          a,
          b,
          trans_a,
          trans_b,
          trans_c,
          spdims,
          block,
          c_lut,
          c_width,
          out=out,
      )
      # save for backward
      ctx.save_for_backward(a, b)
      ctx.da_lut = da_lut
      ctx.da_width = da_width
      ctx.db_lut = db_lut
      ctx.db_width = db_width
      ctx.mode = mode
      ctx.spdims = spdims
      ctx.block = block
      ctx.trans_a = trans_a
      ctx.trans_b = trans_b
      ctx.trans_c = trans_c
      ctx.has_out = out is not None
      return c
  
file_path: triton/python/triton/ops/blocksparse/matmul.py
imports: import torch
  from ...None import cdiv, heuristics, jit
  from ...None import language
label_desc: Use image node_id 1 for calling the _matmul obj's underlying member method code with example usage: obj.forward(ctx, a, b, trans_a, trans_b, trans_c, mode, spdims, block, c_lut, c_width, da_lut, da_width, db_lut, db_width, out) and returns: c