| #!/usr/bin/env python |
| #/************************************************************ |
| #* |
| #* 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 sys, os |
| sys.path.append(os.path.join(os.path.dirname(__file__),'..')) |
| from singa.model import * |
| from examples.datasets import mnist |
| |
| rbmid = 2 |
| pvalues = {'batchsize' : 100, 'shape' : 784, 'std_value' : 255} |
| X_train, X_test, workspace = mnist.load_data( |
| workspace = 'examples/rbm/rbm2', |
| nb_rbm = rbmid, |
| checkpoint_steps = 6000, |
| **pvalues) |
| |
| m = Energy('rbm'+str(rbmid), sys.argv) |
| |
| out_dim = [1000, 500] |
| m.add(RBM(out_dim, w_std=0.1, b_wd=0)) |
| |
| sgd = SGD(lr=0.1, decay=0.0002, momentum=0.8) |
| topo = Cluster(workspace) |
| m.compile(optimizer=sgd, cluster=topo) |
| m.fit(X_train, alg='cd', nb_epoch=6000) |
| #result = m.evaluate(X_test, test_steps=100, test_freq=500) |
| |