script_module.md
In torch: Tensors and Neural Networks with 'GPU' Acceleration

can print the graph

graph(%self : __torch__.nn_linear_ydgabwknrsauujvnjgioueiy,
      %3 : Float(10, 10, strides=[10, 1], requires_grad=0, device=cpu)):
  %bias : Tensor = prim::GetAttr[name="bias"](%self)
  %weight : Tensor = prim::GetAttr[name="weight"](%self)
  %4 : Float(10, 10, strides=[10, 1], requires_grad=1, device=cpu) = aten::linear(%3, %weight, %bias)
  return (%4)

graph(%self : __torch__.nn_linear_ydgabwknrsauujvnjgioueiy,
      %3 : Float(10, 10, strides=[10, 1], requires_grad=0, device=cpu)):
  %bias : Tensor = prim::GetAttr[name="bias"](%self)
  %weight : Tensor = prim::GetAttr[name="weight"](%self)
  %4 : Float(10, 10, strides=[10, 1], requires_grad=1, device=cpu) = aten::linear(%3, %weight, %bias)
  return (%4)

graph_for

graph(%self : __torch__.nn_linear_neebjyloatcfjjfottzlywfy,
      %1 : Tensor):
  %bias : Tensor = prim::GetAttr[name="bias"](%self)
  %weight : Tensor = prim::GetAttr[name="weight"](%self)
  %5 : Tensor = prim::profile[profiled_type=Float(10, 10, strides=[10, 1], requires_grad=0, device=cpu), seen_none=0](%1)
  %6 : Tensor = prim::profile[profiled_type=Float(10, 10, strides=[10, 1], requires_grad=1, device=cpu), seen_none=0](%weight)
  %7 : Tensor = prim::profile[profiled_type=Float(10, strides=[1], requires_grad=1, device=cpu), seen_none=0](%bias)
  %4 : Tensor = aten::linear(%5, %6, %7)
  %8 : Tensor = prim::profile[profiled_type=Float(10, 10, strides=[10, 1], requires_grad=1, device=cpu), seen_none=0](%4)
   = prim::profile()
  return (%8)

graph(%self : __torch__.nn_linear_neebjyloatcfjjfottzlywfy,
      %1 : Tensor):
  %bias : Tensor = prim::GetAttr[name="bias"](%self)
  %weight : Tensor = prim::GetAttr[name="weight"](%self)
  %22 : Tensor = aten::linear(%1, %weight, %bias)
  return (%22)