package com.xuanyuansen.algo
import breeze.linalg._
import breeze.numerics.exp
/**
* Created by wangshuai on 16/7/14.
*/
object funcTest {
def main(args: Array[String]) {
val x = DenseVector.ones[Double](2)
val y = DenseVector.ones[Double](2)
println(x)
println(1.0 - x dot y)
println(1.0 - x :* y)
println(DenseVector.vertcat(x, y))
val Wf = DenseMatrix.rand[Double](4, 2)
println(Wf)
val input_dim = 4
val out_dim = 2
val concat_len = input_dim + out_dim
val WW = DenseMatrix.ones[Double](out_dim, concat_len) //2*6
val kk = DenseMatrix.ones[Double](concat_len, 1)
println("WW * kk")
val tmp = (WW * kk).asInstanceOf[DenseMatrix[Double]]
println(tmp)
val diffo = DenseMatrix.ones[Double](1, out_dim)
val input_h = DenseMatrix.ones[Double](1, out_dim)
val input_x = DenseMatrix.ones[Double](1, input_dim) + DenseMatrix.ones[Double](1, input_dim)
// 1*2 1*2
val dinputh = diffo.t * input_h
println(dinputh) //2*2
//1*2 1*4
val dinputx = diffo.t * input_x
println(dinputx) //2*4
val out = DenseMatrix.horzcat(dinputx, dinputh)
//concat 2*6
println(out)
val softmax = exp(kk)
println(softmax)
val sumsoft = sum(softmax)
val finalout = softmax / sumsoft
println("finalout " + finalout.toString)
val test = DenseMatrix.rand[Double](2, 3)
println(test)
val idx_max = argmax(test)
println(idx_max)
println(max(test))
val z = DenseMatrix.zeros[Double](2, 3)
z(idx_max) = 1
println(z)
println(sum(exp(test)) - max(test))
println((0 until 4).reverse)
val zout = 2.0 * DenseMatrix.ones[Double](2, 3)
println(zout)
println(1.0 / zout + 6.0)
val out1 = DenseMatrix.create(5, 1, Array(1, 2, 3, 4, 5))
println(out1)
}
}
