# 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 nnvm.symbol as sym def test_reshape(): x = sym.Variable("x") y = sym.reshape(x, shape=(10, 20), name="y") assert(y.list_input_names() == ["x"]) def test_scalar_op(): x = sym.Variable("x") y = (1 / (x * 2) - 1) ** 2 assert(y.list_input_names() == ["x"]) def test_leaky_relu(): x = sym.Variable("x") y = sym.leaky_relu(x, alpha=0.1) assert(y.list_input_names() == ["x"]) def test_prelu(): x = sym.Variable("x") w = sym.Variable("w") y = sym.prelu(x, w) assert(y.list_input_names()[0] == 'x') assert(y.list_input_names()[1] == 'w') if __name__ == "__main__": test_scalar_op() test_reshape() test_leaky_relu() test_prelu()