| # 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. |
| from tvm.relay.testing import resnet |
| from tvm.relay.analysis import count_layers |
| |
| |
| def test_layer_count(): |
| def verify(num_layers): |
| # Load a resnet with a known number of layers. |
| mod, _ = resnet.get_workload(num_layers=num_layers) |
| # Count the number of conv and dense layers. |
| count = count_layers(mod, valid_ops=["nn.conv2d", "nn.dense"]) |
| assert count == num_layers |
| |
| verify(18) |
| verify(50) |
| |
| |
| if __name__ == "__main__": |
| test_layer_count() |