| # 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. |
| |
| # brief Example code on load and run TVM module.s |
| # file python_deploy.py |
| |
| import tvm |
| from tvm import te |
| import numpy as np |
| |
| |
| def verify(mod, fname): |
| # Get the function from the module |
| f = mod.get_function(fname) |
| # Use tvm.nd.array to convert numpy ndarray to tvm |
| # NDArray type, so that function can be invoked normally |
| N = 10 |
| x = tvm.nd.array(np.arange(N, dtype=np.float32)) |
| y = tvm.nd.array(np.zeros(N, dtype=np.float32)) |
| # Invoke the function |
| f(x, y) |
| np_x = x.asnumpy() |
| np_y = y.asnumpy() |
| # Verify correctness of function |
| assert np.all([xi + 1 == yi for xi, yi in zip(np_x, np_y)]) |
| print("Finish verification...") |
| |
| |
| if __name__ == "__main__": |
| # The normal dynamic loading method for deployment |
| mod_dylib = tvm.runtime.load_module("lib/test_addone_dll.so") |
| print("Verify dynamic loading from test_addone_dll.so") |
| verify(mod_dylib, "addone") |
| # There might be methods to use the system lib way in |
| # python, but dynamic loading is good enough for now. |