01.py

```python

import torch

import torch.fx

class MyModule(torch.nn.Module):

def init(self):

super().init()

self.param = torch.nn.Parameter(torch.rand(3, 4))

self.linear = torch.nn.Linear(4, 5)

def forward(self, x):

return torch.topk(torch.sum(

self.linear(x + self.linear.weight).relu(), dim=-1), 3)

m = MyModule()

gm = torch.fx.symbolic_trace(m)

print(gm.graph)

gm.graph.print_tabular()

print(gm.code)

from torch.fx import symbolic_trace

from torch.fx.passes.graph_drawer import FxGraphDrawer

gm = symbolic_trace(m)

drawer = FxGraphDrawer(gm, "my_graph")

dot = drawer.get_dot_graph()

dot.write_svg("01.svg")

import torch import torch.fx

class MyModel(torch.nn.Module): def init(self): super().init() self.linear = torch.nn.Linear(4, 8)

def forward(self, x):
    return torch.relu(self.linear(x))

gm = torch.fx.symbolic_trace(MyModel()) gm.graph.print_tabular()

print(gm.graph)

print(gm.code) # prints the actual code```