| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # fmt: off |
| # ruff: noqa |
| # mypy: ignore-errors |
| # [example.begin] |
| # File: load/load_pytorch.py |
| # Step 1. Load `build/add_one_cuda.so` |
| import tvm_ffi |
| mod = tvm_ffi.load_module("build/add_one_cuda.so") |
| |
| # Step 2. Run `mod.add_one_cuda` with PyTorch |
| import torch |
| x = torch.tensor([1, 2, 3, 4, 5], dtype=torch.float32, device="cuda") |
| y = torch.empty_like(x) |
| mod.add_one_cuda(x, y) |
| print(y) |
| # [example.end] |
