| # 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 |
| from tvm import relay |
| import pytest |
| import numpy as np |
| |
| |
| @pytest.mark.parametrize("dtype, rtol", [("float16", 1e-3), ("float32", 1e-7), ("float64", 1e-12)]) |
| def test_div_to_mul(dtype, rtol): |
| x = relay.var("x", relay.TensorType((), dtype)) |
| y = relay.Constant(tvm.nd.array(np.array([1.5]).astype(dtype))) |
| z = x / y |
| mod = tvm.IRModule.from_expr(z) |
| transformed = relay.transform.DivToMul()(mod) |
| assert transformed["main"].body.op.name == "multiply" |
| np.testing.assert_allclose(transformed["main"].body.args[1].data.numpy()[0], 1 / 1.5, rtol=rtol) |