| # 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 tvm |
| import numpy as np |
| from tvm.script import ir as I, tir as T |
| |
| |
| def test_dltensor_compatible(): |
| @I.ir_module |
| class Module: |
| @T.prim_func |
| 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() |