| # 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. |
| # ruff: noqa: F401 |
| |
| import tvm |
| import tvm.testing |
| from tvm.script import ir as I |
| from tvm.script import relax as R |
| from tvm.script import tir as T |
| |
| |
| def test_simple(): |
| @I.ir_module |
| class Before: |
| @R.function |
| def main(A: R.Tensor, B: R.Tensor): |
| return Before.func((A, B)) |
| |
| @R.function(private=True) |
| def func(args: R.Tuple([R.Tensor, R.Tensor])) -> R.Tensor: |
| return args[0] |
| |
| @I.ir_module |
| class Expected: |
| @R.function |
| def main(A: R.Tensor, B: R.Tensor): |
| return Expected.func(A, B) |
| |
| @R.function(private=True) |
| def func(A: R.Tensor, B: R.Tensor) -> R.Tensor: |
| return A |
| |
| After = tvm.relax.transform.ExpandTupleArguments()(Before) |
| tvm.ir.assert_structural_equal(After, Expected) |
| |
| |
| def test_nested(): |
| @I.ir_module |
| class Before: |
| @R.function |
| def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor: |
| return Before.func(((A, B), (C, D))) |
| |
| @R.function(private=True) |
| def func( |
| args: R.Tuple( |
| [ |
| R.Tuple([R.Tensor, R.Tensor]), |
| R.Tuple([R.Tensor, R.Tensor]), |
| ] |
| ), |
| ) -> R.Tensor: |
| return args[0][1] |
| |
| @I.ir_module |
| class Expected: |
| @R.function |
| def main(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor: |
| return Expected.func(A, B, C, D) |
| |
| @R.function(private=True) |
| def func(A: R.Tensor, B: R.Tensor, C: R.Tensor, D: R.Tensor) -> R.Tensor: |
| return B |
| |
| After = tvm.relax.transform.ExpandTupleArguments()(Before) |
| tvm.ir.assert_structural_equal(After, Expected) |
| |
| |
| if __name__ == "__main__": |
| tvm.testing.main() |