| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| X = read($1) / 255 |
| Y = read($2) |
| |
| Xt = read($3) / 255 |
| Yt = read($4) |
| |
| epochs = 100 |
| learning_rate = 0.1 |
| utype = "BSP" |
| # freq = "EPOCH" |
| freq= "NBATCHES" |
| # freq="BATCH" |
| batch_size = 128 |
| scheme = "DISJOINT_CONTIGUOUS" |
| mode = "LOCAL" |
| seed = -1 |
| |
| source("code/network/CNN.dml") as CNN |
| |
| model = CNN::train_paramserv(X, Y, epochs, utype, freq, batch_size, scheme, mode, learning_rate, seed) |
| |
| probs_test = CNN::predict(Xt, batch_size, model) |
| [loss_test, acc] = CNN::eval(probs_test, Yt) |
| |
| print("Test loss: " + loss_test + " acc: " + acc) |
| |
