forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathextension.cpp
40 lines (34 loc) · 1.02 KB
/
extension.cpp
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
#include <torch/extension.h>
// test include_dirs in setuptools.setup with relative path
#include <tmp.h>
torch::Tensor sigmoid_add(torch::Tensor x, torch::Tensor y) {
return x.sigmoid() + y.sigmoid();
}
struct MatrixMultiplier {
MatrixMultiplier(int A, int B) {
tensor_ =
torch::ones({A, B}, torch::dtype(torch::kFloat64).requires_grad(true));
}
torch::Tensor forward(torch::Tensor weights) {
return tensor_.mm(weights);
}
torch::Tensor get() const {
return tensor_;
}
private:
torch::Tensor tensor_;
};
bool function_taking_optional(c10::optional<torch::Tensor> tensor) {
return tensor.has_value();
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("sigmoid_add", &sigmoid_add, "sigmoid(x) + sigmoid(y)");
m.def(
"function_taking_optional",
&function_taking_optional,
"function_taking_optional");
py::class_<MatrixMultiplier>(m, "MatrixMultiplier")
.def(py::init<int, int>())
.def("forward", &MatrixMultiplier::forward)
.def("get", &MatrixMultiplier::get);
}