# 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. ################################################################################ # Common models used in testing ################################################################################ function rand_dims(max_ndim=6) tuple(rand(1:10, rand(1:max_ndim))...) end function mlp2() data = mx.Variable(:data) out = mx.FullyConnected(data, name=:fc1, num_hidden=1000) out = mx.Activation(out, act_type=:relu) out = mx.FullyConnected(out, name=:fc2, num_hidden=10) return out end function mlpchain() mx.@chain mx.Variable(:data) => mx.FullyConnected(name=:fc1, num_hidden=1000) => mx.Activation(act_type=:relu) => mx.FullyConnected(name=:fc2, num_hidden=10) end """ execution helper of SymbolicNode """ function exec(x::mx.SymbolicNode; feed...) ks, vs = zip(feed...) vs′ = mx.NDArray.(vs) e = mx.bind(x, context = mx.cpu(), args = Dict(zip(ks, vs′))) mx.forward(e) e.outputs end