wehub-resource-sync
79 lines
2.4 KiB
C++
79 lines
2.4 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <iostream>
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#include <vector>
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#include "custom_power.h" // NOLINT
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#include "paddle/extension.h"
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paddle::Tensor custom_sub(paddle::Tensor x, paddle::Tensor y);
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paddle::Tensor relu_cuda_forward(const paddle::Tensor& x);
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paddle::Tensor custom_add(const paddle::Tensor& x, const paddle::Tensor& y) {
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return x.exp() + y.exp();
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}
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paddle::Tensor custom_optional_add(const paddle::Tensor& x,
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const paddle::optional<paddle::Tensor>& y) {
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if (y) {
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return x.exp() + *y;
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}
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return x.exp();
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}
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std::vector<paddle::Tensor> custom_tensor(
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const std::vector<paddle::Tensor>& inputs) {
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std::vector<paddle::Tensor> out;
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out.reserve(inputs.size());
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for (const auto& input : inputs) {
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out.push_back(input + 1.0);
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}
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return out;
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}
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paddle::Tensor nullable_tensor(bool return_none = false) {
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paddle::Tensor t;
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if (!return_none) {
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t = paddle::ones({2, 2});
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}
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return t;
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}
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paddle::optional<paddle::Tensor> optional_tensor(bool return_option = false) {
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paddle::optional<paddle::Tensor> t;
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if (!return_option) {
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t = paddle::ones({2, 2});
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}
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return t;
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}
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PYBIND11_MODULE(PADDLE_EXTENSION_NAME, m) {
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m.def("custom_add", &custom_add, "exp(x) + exp(y)");
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m.def("custom_optional_add", &custom_optional_add, "exp(x) + optional(y)");
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m.def("custom_sub", &custom_sub, "exp(x) - exp(y)");
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m.def("custom_tensor", &custom_tensor, "x + 1");
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m.def("nullable_tensor", &nullable_tensor, "returned Tensor might be None");
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m.def(
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"optional_tensor", &optional_tensor, "returned Tensor might be optional");
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m.def("relu_cuda_forward", &relu_cuda_forward, "relu(x)");
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py::class_<Power>(m, "Power")
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.def(py::init<int, int>())
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.def(py::init<paddle::Tensor>())
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.def("forward", &Power::forward)
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.def("get", &Power::get);
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}
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