# 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 mxnet as mx data_shape = (1,3,5,5) class SimpleData(object): def __init__(self, data): self.data = data data = mx.sym.Variable('data') conv = mx.sym.Convolution(data=data, kernel=(3,3), pad=(1,1), stride=(1,1), num_filter=1) mon = mx.mon.Monitor(1) mod = mx.mod.Module(conv) mod.bind(data_shapes=[('data', data_shape)]) mod._exec_group.install_monitor(mon) mod.init_params() input_data = mx.nd.ones(data_shape) mod.forward(data_batch=SimpleData([input_data])) res = mod.get_outputs()[0].asnumpy() print(res)