# 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()