| # 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. |
| """Test graph equality of caffe2 models.""" |
| from model_zoo import c2_squeezenet, relay_squeezenet |
| import tvm |
| from tvm import relay |
| from tvm.relay import transform |
| |
| |
| def compare_graph(lhs_mod, rhs_mod): |
| lhs_mod = transform.InferType()(lhs_mod) |
| rhs_mod = transform.InferType()(rhs_mod) |
| assert tvm.ir.structural_equal(lhs_mod["main"], rhs_mod["main"]) |
| |
| |
| def test_squeeze_net(): |
| shape_dict = {"data": (1, 3, 224, 224)} |
| dtype_dict = {"data": "float32"} |
| mod, _, = relay.frontend.from_caffe2( |
| c2_squeezenet.init_net, c2_squeezenet.predict_net, shape_dict, dtype_dict |
| ) |
| relay_mod, _ = relay_squeezenet() |
| compare_graph(mod, relay_mod) |
| |
| |
| if __name__ == "__main__": |
| test_squeeze_net() |