trueno 0.17.5

High-performance SIMD compute library with GPU support for matrix operations
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141

//! Scalar reference GEMM implementations for Jidoka validation.
//!
//! These are the "gold standard" implementations used to validate optimized versions.
//!
//! # References
//!
//! - Golub & Van Loan (2013), Matrix Computations, 4th ed., Algorithm 1.1.1.

use crate::error::TruenoError;

use super::jidoka::{JidokaError, JidokaGuard};

/// Scalar reference GEMM for Jidoka validation
///
/// Computes C += A * B where:
/// - A is M x K (row-major)
/// - B is K x N (row-major)
/// - C is M x N (row-major)
///
/// This is the "gold standard" implementation used to validate optimized versions.
///
/// # References
///
/// This implements the naive O(MNK) algorithm as described in
/// Golub & Van Loan (2013), Matrix Computations, 4th ed., Algorithm 1.1.1.
pub fn gemm_reference(
    m: usize,
    n: usize,
    k: usize,
    a: &[f32],
    b: &[f32],
    c: &mut [f32],
) -> Result<(), TruenoError> {
    // Poka-yoke: dimension validation
    if a.len() != m * k {
        return Err(TruenoError::InvalidInput(format!(
            "A size mismatch: expected {}x{}={}, got {}",
            m,
            k,
            m * k,
            a.len()
        )));
    }
    if b.len() != k * n {
        return Err(TruenoError::InvalidInput(format!(
            "B size mismatch: expected {}x{}={}, got {}",
            k,
            n,
            k * n,
            b.len()
        )));
    }
    if c.len() != m * n {
        return Err(TruenoError::InvalidInput(format!(
            "C size mismatch: expected {}x{}={}, got {}",
            m,
            n,
            m * n,
            c.len()
        )));
    }

    // Scalar triple-nested loop
    for i in 0..m {
        for j in 0..n {
            let mut sum = 0.0f32;
            for p in 0..k {
                sum += a[i * k + p] * b[p * n + j];
            }
            c[i * n + j] += sum;
        }
    }

    Ok(())
}

/// Validate a sampled output value for NaN/Inf (Jidoka andon cord).
#[inline(always)]
pub(super) fn jidoka_check_output(
    val: f32,
    idx: usize,
    sample_rate: usize,
) -> Result<(), JidokaError> {
    if idx % sample_rate == 0 {
        if val.is_nan() {
            return Err(JidokaError::NaNDetected { location: "output" });
        }
        if val.is_infinite() {
            return Err(JidokaError::InfDetected { location: "output" });
        }
    }
    Ok(())
}

/// Validate sampled input values for NaN/Inf.
pub(super) fn jidoka_check_inputs(
    a: &[f32],
    b: &[f32],
    guard: &JidokaGuard,
) -> Result<(), JidokaError> {
    for (idx, &val) in a.iter().enumerate() {
        if idx % guard.sample_rate == 0 {
            guard.check_input(val, "matrix A")?;
        }
    }
    for (idx, &val) in b.iter().enumerate() {
        if idx % guard.sample_rate == 0 {
            guard.check_input(val, "matrix B")?;
        }
    }
    Ok(())
}

/// Scalar reference GEMM with Jidoka validation
///
/// Same as `gemm_reference` but validates outputs against known-good computation.
pub fn gemm_reference_with_jidoka(
    m: usize,
    n: usize,
    k: usize,
    a: &[f32],
    b: &[f32],
    c: &mut [f32],
    guard: &JidokaGuard,
) -> Result<(), JidokaError> {
    jidoka_check_inputs(a, b, guard)?;

    for i in 0..m {
        for j in 0..n {
            let mut sum = 0.0f32;
            for p in 0..k {
                sum += a[i * k + p] * b[p * n + j];
            }
            let output = c[i * n + j] + sum;
            jidoka_check_output(output, i * n + j, guard.sample_rate)?;
            c[i * n + j] = output;
        }
    }

    Ok(())
}