pytorch/test/cpp/aot_inductor/test.py

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import shutil
import torch
import torch._dynamo
import torch._inductor
class Net(torch.nn.Module):
def __init__(self):
super().__init__()
self.fc = torch.nn.Linear(64, 10)
def forward(self, x, y):
return self.fc(torch.sin(x) + torch.cos(y))
x = torch.randn((32, 64), device="cuda")
y = torch.randn((32, 64), device="cuda")
with torch.no_grad():
from torch.fx.experimental.proxy_tensor import make_fx
# Using export is blocked by https://github.com/pytorch/pytorch/issues/99000
# module, _ = torch._dynamo.export(Net().cuda(), inp)
module = make_fx(Net().cuda())(x, y)
lib_path = torch._inductor.aot_compile(module, [x, y])
shutil.copy(lib_path, "libaot_inductor_output.so")