code: def schedule_conv2d_gemm_weight_transform(outs):
      """Schedule for weight transformation of gemm
  
      Parameters
      ----------
      outs: Array of Tensor
            The computation graph description of this operator
            in the format of an array of tensors.
  
      Returns
      -------
      sch: Schedule
          The computation schedule for the op.
      """
      # Typically this is computed in PreCompute pass
      s = te.create_schedule([x.op for x in outs])
      return s
  
imports: from tvm import te
  from .default import default_schedule
label_desc: Use image node_id 12 for calling a global function with example usage: schedule_conv2d_gemm_weight_transform(outs) and returns: s