/
slaf.js
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/
slaf.js
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import Layer from './base.js'
/**
* Self learnable AF layer
*/
export default class SelfLearnableAFLayer extends Layer {
/**
* @param {object} config config
* @param {number} [config.n] n
* @param {number | number[]} [config.a] a
*/
constructor({ n = 3, a = 1, ...rest }) {
super(rest)
this._n = n
if (Array.isArray(a)) {
this._a = a
} else {
this._a = Array(n).fill(a)
}
}
calc(x) {
this._i = x
const o = x.copy()
o.map(v => this._a.reduce((s, a, k) => s + a * v ** k, 0))
return o
}
grad(bo) {
this._bo = bo
const bi = bo.copy()
bi.broadcastOperate(this._i, (a, b) => a * this._a.reduce((s, v, k) => s + k * v * b ** (k - 1), 0))
return bi
}
update(optimizer) {
const s = Array(this._n).fill(0)
for (let i = 0; i < this._i.length; i++) {
for (let k = 0; k < this._n; k++) {
s[k] += this._bo.value[i] * this._i.value[i] ** k
}
}
for (let k = 0; k < this._n; k++) {
this._a[k] -= optimizer.delta(`a${k}`, s[k] / this._i.length)
}
}
toObject() {
return {
type: 'slaf',
n: this._n,
a: this._a,
}
}
}
SelfLearnableAFLayer.registLayer('slaf')