Download lean/OAI/LinearAlgebra/MatrixFields/Model.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/LinearAlgebra/MatrixFields/Model.lean
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2.96 kB
| import Mathlib | |
| namespace OAI | |
| open scoped BigOperators Topology Polynomial | |
| namespace MatrixAllFields | |
| noncomputable section | |
| open scoped BigOperators | |
| namespace MatrixMultiplication.Arithmetic | |
| inductive Gate (F Input Register : Type*) where | |
| | constant : F → Gate F Input Register | |
| | input : Input → Gate F Input Register | |
| | add : Register → Register → Gate F Input Register | |
| | sub : Register → Register → Gate F Input Register | |
| | mul : Register → Register → Gate F Input Register | |
| namespace Gate | |
| variable {F Input Register : Type*} | |
| def eval [Field F] (inputs : Input → F) (registers : Register → F) : | |
| Gate F Input Register → F | |
| | .constant z => z | |
| | .input i => inputs i | |
| | .add i j => registers i + registers j | |
| | .sub i j => registers i - registers j | |
| | .mul i j => registers i * registers j | |
| def cost : Gate F Input Register → ℕ | |
| | .constant _ => 0 | |
| | .input _ => 0 | |
| | .add _ _ => 1 | |
| | .sub _ _ => 1 | |
| | .mul _ _ => 1 | |
| end Gate | |
| inductive Program (F Input : Type*) : ℕ → Type _ where | |
| | nil : Program F Input 0 | |
| | step {r : ℕ} : Program F Input r → Gate F Input (Fin r) → Program F Input (r + 1) | |
| namespace Program | |
| variable {F Input : Type*} | |
| def eval [Field F] : {r : ℕ} → Program F Input r → (Input → F) → Fin r → F | |
| | 0, .nil, _ => Fin.elim0 | |
| | _ + 1, .step p g, inputs => | |
| Fin.cases (g.eval inputs (p.eval inputs)) (p.eval inputs) | |
| def cost : {r : ℕ} → Program F Input r → ℕ | |
| | 0, .nil => 0 | |
| | _ + 1, .step p g => p.cost + g.cost | |
| end Program | |
| abbrev MatrixInput (a b c : ℕ) := (Fin a × Fin b) ⊕ (Fin b × Fin c) | |
| def matrixInputs {F : Type*} {a b c : ℕ} | |
| (A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F) : | |
| MatrixInput a b c → F | |
| | .inl (i, j) => A i j | |
| | .inr (j, k) => B j k | |
| structure MatrixAlgorithm (F : Type*) (a b c : ℕ) where | |
| registers : ℕ | |
| program : Program F (MatrixInput a b c) registers | |
| output : Fin a → Fin c → Fin registers | |
| namespace MatrixAlgorithm | |
| variable {F : Type*} [Field F] {a b c : ℕ} | |
| def eval (P : MatrixAlgorithm F a b c) | |
| (A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F) : | |
| Matrix (Fin a) (Fin c) F := | |
| fun i k => P.program.eval (matrixInputs A B) (P.output i k) | |
| def Correct (P : MatrixAlgorithm F a b c) : Prop := | |
| ∀ (A : Matrix (Fin a) (Fin b) F) (B : Matrix (Fin b) (Fin c) F), P.eval A B = A * B | |
| def cost (P : MatrixAlgorithm F a b c) : ℕ := P.program.cost | |
| end MatrixAlgorithm | |
| /-- Positive slack, one uniform constant, and a correct program at every size. -/ | |
| def AdmissibleExponent (F : Type*) [Field F] (τ : ℝ) : Prop := | |
| ∀ ε : ℝ, 0 < ε → ∃ C : ℝ, 0 < C ∧ | |
| ∀ n : ℕ, 1 ≤ n → ∃ P : MatrixAlgorithm F n n n, | |
| P.Correct ∧ (P.cost : ℝ) ≤ C * (n : ℝ) ^ (τ + ε) | |
| def omega (F : Type*) [Field F] : ℝ := sInf {τ : ℝ | AdmissibleExponent F τ} | |
| end MatrixMultiplication.Arithmetic | |
| end | |
| end MatrixAllFields | |
| end OAI | |