# 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.script import ir as I from tvm.script import tirx as T def test_dltensor_compatible(): @I.ir_module class Module: @T.prim_func(s_tir=True) def arange(A: T.handle): n = T.int32() Ab = T.match_buffer(A, (n,), "int64") for i in T.serial(n - 1): Ab[i + 1] = Ab[i] + T.int64(1) mod = Module f = tvm.compile(mod, target="llvm") a = tvm.runtime.tensor(np.zeros(10, dtype="int64")) f(a) np.testing.assert_equal(a.numpy(), np.arange(a.shape[0])) if __name__ == "__main__": test_dltensor_compatible()