1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
import torch
from torch import Tensor
@torch.jit.interface
class ModuleInterface(torch.nn.Module):
def one(self, inp1: Tensor, inp2: Tensor) -> Tensor:
pass
class OrigModule(torch.nn.Module):
"""A module that implements ModuleInterface."""
def __init__(self):
super(OrigModule, self).__init__()
def one(self, inp1: Tensor, inp2: Tensor) -> Tensor:
return inp1 + inp2 + 1
def two(self, input: Tensor) -> Tensor:
return input + 2
def forward(self, input: Tensor) -> Tensor:
return input + self.one(input, input) + 1
class NewModule(torch.nn.Module):
"""A *different* module that implements ModuleInterface."""
def __init__(self):
super(NewModule, self).__init__()
def one(self, inp1: Tensor, inp2: Tensor) -> Tensor:
return inp1 * inp2 + 1
def forward(self, input: Tensor) -> Tensor:
return self.one(input, input + 1)
class UsesInterface(torch.nn.Module):
proxy_mod: ModuleInterface
def __init__(self):
super().__init__()
self.proxy_mod = OrigModule()
def forward(self, input: Tensor) -> Tensor:
return self.proxy_mod.one(input, input)
|
