| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| imgSize=8 |
| numImg=16 |
| numChannels=4 |
| poolSize1=imgSize*imgSize |
| poolSize2=1 |
| stride=1 |
| pad=0 |
| |
| X = matrix(seq(1, numImg*numChannels*imgSize*imgSize), rows=numImg, cols=numChannels*imgSize*imgSize); |
| while(FALSE){} |
| |
| X = X - rowMeans(X); |
| R = max_pool(X, stride=[stride, stride], padding=[pad, pad], input_shape=[numImg, numChannels, imgSize*imgSize, 1], pool_size=[poolSize1, poolSize2]); |
| R = R + 7; |
| |
| write(R, $1, format="text"); |
