| # 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 tvm.testing |
| |
| from tvm.script import ir as I, relax as R |
| |
| from tvm.relax.transform import LowerAllocTensor |
| |
| |
| def test_basic(): |
| @I.ir_module |
| class Before: |
| @R.function |
| def main(): |
| x = R.builtin.alloc_tensor(R.shape([16, 32]), "float32", 0) |
| return x |
| |
| @I.ir_module |
| class Expected: |
| @R.function |
| def main(): |
| storage = R.memory.alloc_storage(R.shape([2048]), 0, "global", "uint8") |
| x = R.memory.alloc_tensor(storage, 0, R.shape([16, 32]), "float32") |
| return x |
| |
| After = LowerAllocTensor()(Before) |
| tvm.ir.assert_structural_equal(Expected, After) |
| |
| |
| if __name__ == "__main__": |
| tvm.testing.main() |