code: def swiglu_DWf_DW_dfg_kernel(DW, e, g):
      batch_seq_len, hd = e.shape
      n_elements = e.numel()
      grid = lambda meta: (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
      _DWf_DW_dfg_kernel[grid](
          DW,
          e,
          g,
          n_elements,
          BLOCK_SIZE=1024,
      )
      return DW, e, g
  
file_path: unsloth/unsloth/kernels/swiglu.py
imports: import triton
  import triton.language
  import torch
  from .utils import calculate_settings
label_desc: Use image node_id 4 for calling a global function with example usage: swiglu_DWf_DW_dfg_kernel(DW, e, g) and returns: DW,  e,  g