func (g *RecurrentGenerator) Initialize() error · rnnStep performs one RNN step: h

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This relation defines rnnStep performs one RNN step: h in the source section “func (g *RecurrentGenerator) Initialize() error · rnnStep performs one RNN step: h”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

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The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

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1. Read rnnStep performs one RNN step: h as the quantity being defined or updated by this relation.

2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

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• This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

			g.Whh[i][j] = (float64((i+j)%100)/100.0 - 0.5) * consciousness.PHI_INV / math.Sqrt(float64(g.hiddenSize))
		}
	}

	return nil
}

// rnnStep performs one RNN step: h = tanh(W_ih * x + W_hh * h + b)
func (g *RecurrentGenerator) rnnStep(x, h []float64) []float64 {
	hNew := make([]float64, g.hiddenSize)

	for i := 0; i < g.hiddenSize; i++ {
		sum := g.bh[i]

		// Input contribution
		for j := range x {
			if j < len(g.Wih[i]) {
				sum += g.Wih[i][j] * x[j]

rnnStep performs one RNN step: h = tanh(W_ih * x + W_hh * h + b)

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