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#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# 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
#
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# Unless required by applicable law or agreed to in writing,
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# specific language governing permissions and limitations
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#
#-------------------------------------------------------------
args<-commandArgs(TRUE)
options(digits=22)
library(Matrix)
library(matrixStats)
N = 2
C = 2
Hin = 3
Win = 4
X = matrix(cbind(seq(1,20),seq(1,20),seq(1,8)), nrow=2, ncol=24, byrow=TRUE)
gamma = matrix(c(1,2), byrow=TRUE, nrow=2, ncol=1)
beta = matrix(c(0,1), byrow=TRUE, nrow=2, ncol=1)
ema_mean = matrix(c(4,5), byrow=TRUE, nrow=2, ncol=1)
ema_var = matrix(c(2,3), byrow=TRUE, nrow=2, ncol=1)
mu = 0.95
epsilon = 1e-4
subgrp_means = matrix(colMeans(X), nrow=C, ncol=Hin*Win, byrow=TRUE)
subgrp_vars = matrix(colVars(X) * ((N-1)/N), nrow=C, ncol=Hin*Win, byrow=TRUE)
mean = rowMeans(subgrp_means) # shape (C, 1)
var = rowMeans(subgrp_vars) + rowVars(subgrp_means)*(((Hin*Win)-1)/(Hin*Win))
ema_mean_upd = mu*ema_mean + (1-mu)*mean
ema_var_upd = mu*ema_var + (1-mu)*var
R = cbind(mean, var, ema_mean_upd, ema_var_upd)
writeMM(as(R, "CsparseMatrix"), paste(args[1], "R", sep=""));