#-------------------------------------------------------------
#
# 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");