code: def forward(ctx, input, weight):
      ctx.save_for_backward(input, weight)
      output = torch.matmul(input, weight.t())
      return output
  
imports: import torch
  from torch import nn
  import fused_dense_cuda
  from apex._autocast_utils import _cast_if_autocast_enabled
label_desc: Use image node_id 1 for calling the DenseNoBiasFunc obj's underlying member method code with example usage: obj.forward(ctx, input, weight) and returns: output