# 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. import numpy as np import tvm from tvm import rpc from tvm.contrib import util, emscripten def test_local_save_load(): if not tvm.module.enabled("opengl"): return if not tvm.module.enabled("llvm"): return n = tvm.var("n") A = tvm.placeholder((n,), name='A', dtype='int32') B = tvm.placeholder((n,), name='B', dtype='int32') C = tvm.compute(A.shape, lambda i: A[i] + B[i], name="C") s = tvm.create_schedule(C.op) s[C].opengl() f = tvm.build(s, [A, B, C], "opengl", target_host="llvm", name="myadd") ctx = tvm.opengl(0) n = 10 a = tvm.nd.array(np.random.uniform(high=10, size=(n)).astype(A.dtype), ctx) b = tvm.nd.array(np.random.uniform(high=10, size=(n)).astype(B.dtype), ctx) c = tvm.nd.array(np.zeros((n), dtype=C.dtype), ctx) f(a, b, c) temp = util.tempdir() path_so = temp.relpath("myadd.so") f.export_library(path_so) f1 = tvm.module.load(path_so) f1(a, b, c) tvm.testing.assert_allclose(c.asnumpy(), a.asnumpy() + b.asnumpy()) if __name__ == "__main__": test_local_save_load()