# 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. """ Get Started with TVM Go ======================= """ from __future__ import absolute_import, print_function import tvm import numpy as np # Global declarations of environment. tgt_host="llvm" tgt="llvm" ###################################################################### # Describe the Computation # ------------------------ n = tvm.var("n") A = tvm.placeholder((n,), name='A') B = tvm.placeholder((n,), name='B') C = tvm.compute(A.shape, lambda i: A[i] + B[i], name="C") ###################################################################### # Schedule the Computation # ------------------------ s = tvm.create_schedule(C.op) ###################################################################### # Compilation # ----------- fadd = tvm.build(s, [A, B, C], tgt, target_host=tgt_host, name="myadd") ###################################################################### # Save Compiled Module # -------------------- from tvm.contrib import cc from tvm.contrib import util fadd.save("deploy.o") cc.create_shared("deploy.so", ["deploy.o"])