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
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171

use super::super::*;

// ========================================================================
// Phase 1: Scalar Reference Tests
// ========================================================================

#[test]
fn test_gemm_reference_2x2() {
    let a = vec![1.0, 2.0, 3.0, 4.0];
    let b = vec![5.0, 6.0, 7.0, 8.0];
    let mut c = vec![0.0; 4];

    gemm_reference(2, 2, 2, &a, &b, &mut c).unwrap();

    // [1 2] * [5 6] = [19 22]
    // [3 4]   [7 8]   [43 50]
    assert_eq!(c, vec![19.0, 22.0, 43.0, 50.0]);
}

#[test]
fn test_gemm_reference_identity() {
    let a = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0];
    let identity = vec![1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0];
    let mut c = vec![0.0; 9];

    gemm_reference(3, 3, 3, &a, &identity, &mut c).unwrap();

    assert_eq!(c, a);
}

#[test]
fn test_gemm_reference_accumulation() {
    let a = vec![1.0, 2.0, 3.0, 4.0];
    let b = vec![1.0, 0.0, 0.0, 1.0];
    let mut c = vec![10.0, 20.0, 30.0, 40.0]; // Pre-existing values

    gemm_reference(2, 2, 2, &a, &b, &mut c).unwrap();

    // C += A * I = C + A
    assert_eq!(c, vec![11.0, 22.0, 33.0, 44.0]);
}

#[test]
fn test_gemm_reference_rectangular() {
    // 2x3 * 3x2 = 2x2
    let a = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
    let b = vec![7.0, 8.0, 9.0, 10.0, 11.0, 12.0];
    let mut c = vec![0.0; 4];

    gemm_reference(2, 2, 3, &a, &b, &mut c).unwrap();

    // [1 2 3] * [7  8 ] = [58  64]
    // [4 5 6]   [9  10]   [139 154]
    //           [11 12]
    assert_eq!(c, vec![58.0, 64.0, 139.0, 154.0]);
}

#[test]
fn test_gemm_reference_size_mismatch() {
    let a = vec![1.0, 2.0, 3.0]; // Wrong size
    let b = vec![1.0, 2.0, 3.0, 4.0];
    let mut c = vec![0.0; 4];

    let result = gemm_reference(2, 2, 2, &a, &b, &mut c);
    assert!(result.is_err());
}

#[test]
fn test_gemm_reference_b_size_mismatch() {
    let a = vec![1.0; 4];
    let b = vec![1.0, 2.0]; // Wrong: should be 4
    let mut c = vec![0.0; 4];
    assert!(gemm_reference(2, 2, 2, &a, &b, &mut c).is_err());
}

#[test]
fn test_gemm_reference_c_size_mismatch() {
    let a = vec![1.0; 4];
    let b = vec![1.0; 4];
    let mut c = vec![0.0; 2]; // Wrong: should be 4
    assert!(gemm_reference(2, 2, 2, &a, &b, &mut c).is_err());
}

#[test]
fn test_gemm_reference_with_jidoka_basic() {
    let guard = JidokaGuard::strict();
    let a = vec![1.0, 2.0, 3.0, 4.0];
    let b = vec![5.0, 6.0, 7.0, 8.0];
    let mut c = vec![0.0; 4];
    gemm_reference_with_jidoka(2, 2, 2, &a, &b, &mut c, &guard).unwrap();
    assert_eq!(c, vec![19.0, 22.0, 43.0, 50.0]);
}

#[test]
fn test_gemm_reference_with_jidoka_nan_input() {
    let guard = JidokaGuard::strict();
    let a = vec![f32::NAN, 2.0, 3.0, 4.0];
    let b = vec![5.0, 6.0, 7.0, 8.0];
    let mut c = vec![0.0; 4];
    assert!(gemm_reference_with_jidoka(2, 2, 2, &a, &b, &mut c, &guard).is_err());
}

#[test]
fn test_gemm_reference_with_jidoka_inf_input() {
    let guard = JidokaGuard::strict();
    let a = vec![f32::INFINITY, 2.0, 3.0, 4.0];
    let b = vec![5.0, 6.0, 7.0, 8.0];
    let mut c = vec![0.0; 4];
    assert!(gemm_reference_with_jidoka(2, 2, 2, &a, &b, &mut c, &guard).is_err());
}

#[test]
fn test_gemm_reference_with_jidoka_inf_in_b() {
    let guard = JidokaGuard::strict();
    let a = vec![1.0, 2.0, 3.0, 4.0];
    let b = vec![5.0, f32::INFINITY, 7.0, 8.0];
    let mut c = vec![0.0; 4];
    assert!(gemm_reference_with_jidoka(2, 2, 2, &a, &b, &mut c, &guard).is_err());
}

#[test]
fn test_transpose_large_with_remainder() {
    // 10x13 matrix: 8x8 blocks + remainders on both edges
    let rows = 10;
    let cols = 13;
    let a: Vec<f32> = (0..rows * cols).map(|i| i as f32).collect();
    let mut b = vec![0.0; rows * cols];

    transpose(rows, cols, &a, &mut b).unwrap();

    // Verify: b[c * rows + r] == a[r * cols + c]
    for r in 0..rows {
        for c in 0..cols {
            assert_eq!(b[c * rows + r], a[r * cols + c], "transpose mismatch at ({}, {})", r, c);
        }
    }
}

#[test]
fn test_transpose_exact_block_size() {
    // 16x16: exactly 2x2 blocks of 8x8, no remainder
    let rows = 16;
    let cols = 16;
    let a: Vec<f32> = (0..rows * cols).map(|i| i as f32).collect();
    let mut b = vec![0.0; rows * cols];

    transpose(rows, cols, &a, &mut b).unwrap();

    for r in 0..rows {
        for c in 0..cols {
            assert_eq!(b[c * rows + r], a[r * cols + c]);
        }
    }
}

#[test]
fn test_transpose_size_mismatch() {
    let a = vec![1.0; 6];
    let mut b = vec![0.0; 4]; // Wrong size
    assert!(transpose(2, 3, &a, &mut b).is_err());
}

#[test]
fn test_transpose_small_scalar_path() {
    // < 64 elements goes through scalar path
    let a = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
    let mut b = vec![0.0; 6];
    transpose(2, 3, &a, &mut b).unwrap();
    // Expected: [[1,4],[2,5],[3,6]]
    assert_eq!(b, vec![1.0, 4.0, 2.0, 5.0, 3.0, 6.0]);
}