# 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.numpy() np_y = y.numpy() # 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.