Docs: fx.Node docs incorrectly state that the self argument is included in args for module calls (#86685)
It seems like the [torch.fx.Node docs](https://pytorch.org/docs/stable/fx.html#torch.fx.Node) are incorrect regarding the inclusion of the self argument for module call nodes.
While the docs state that self (the module) is included in `args`, it is in fact not, as demonstrated by this code:
```python
import torch
from torch import fx, nn
class Net(nn.Module):
def __init__(self):
super().__init__()
self.submod = nn.Linear(10, 10)
def forward(self, x):
x = x.flatten()
return self.submod(x)
graph_module = fx.symbolic_trace(Net())
print(graph_module.graph) # doesn't show self for the submodule call
submod_node = list(graph_module.graph.nodes)[2]
print(submod_node.op) # call_module
print(submod_node.args) # (flatten,) => would need to have len 2 if self was included
flatten_node = list(graph_module.graph.nodes)[1]
print(flatten_node.op) # call_method
print(flatten_node.args) # (x,) => here self is included (and docs are correct)
```
Since [torch.fx.Interpreter also uses `args` as if self was is not included](https://github.com/pytorch/pytorch/blob/2fe580859012d2d24a54e452195ccbc7f3191036/torch/fx/interpreter.py#L288), I assume the docs are incorrect.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/86685
Approved by: https://github.com/soulitzer
