laddu-runtime 0.21.5

Amplitude analysis tools for Rust
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

pub(super) use std::sync::Arc;

pub(super) use laddu_compile::{CompileOptions, CompiledModel, ReductionPlan};
pub(super) use laddu_data::{
    RealVec4,
    data::{Dataset, EventBatch, OwnedEvent},
    schema::Schema,
};
pub(super) use laddu_expr::{
    P4Component, atan2, complex, dot, event_p4_component, event_scalar, matmul, matrix, matvec,
    parameter, polar_complex, solve, vector,
};

pub(super) use super::cache::CachedSlot;
pub(super) use super::prepared::resident_cache_plan;

#[cfg(feature = "jit")]
pub(super) use crate::jit::JitPrecision;

use super::*;

fn evaluate(expr: &laddu_expr::Expr) -> Complex64 {
    let model = CompiledModel::from_expr(expr).unwrap();
    let params = Arc::new(model.params().clone()).default_values();
    CpuBackend.prepare(&model).evaluate(&params).unwrap()
}

fn finite_difference(plan: &CpuPlan, params: &ParamValues, parameter: usize) -> Complex64 {
    let h = 1.0e-6;
    let mut plus = params.clone();
    let mut minus = params.clone();
    let id = params.layout().free_params()[parameter];
    let free_id = params.layout().free_id(id).unwrap().unwrap();
    let value = params.get(id).unwrap();
    plus.set_free(free_id, value + h).unwrap();
    minus.set_free(free_id, value - h).unwrap();
    (plan.evaluate(&plus).unwrap() - plan.evaluate(&minus).unwrap()) / (2.0 * h)
}

fn assert_gradient_close(actual: &[Complex64], expected: &[Complex64], tolerance: f64) {
    assert_eq!(actual.len(), expected.len());
    for (actual, expected) in actual.iter().zip(expected) {
        assert!(
            (actual - expected).norm() < tolerance,
            "{actual} != {expected}"
        );
    }
}

#[cfg(feature = "jit")]
fn f32_execution(jit: JitPolicy) -> Execution {
    Execution::local(crate::ExecutionOptions {
        device: crate::Device::Cpu(crate::CpuOptions {
            jit,
            ..crate::CpuOptions::default()
        }),
        precision: Precision::F32,
        ..crate::ExecutionOptions::default()
    })
    .unwrap()
}

#[cfg(feature = "jit")]
fn f32_jit_and_interpreter(model: &CompiledModel) -> (CpuPlan, CpuPlan) {
    let automatic = CpuBackend
        .prepare_for_execution(model, &f32_execution(JitPolicy::Auto))
        .unwrap();
    let interpreted = CpuBackend
        .prepare_for_execution(model, &f32_execution(JitPolicy::Disabled))
        .unwrap();

    let Some(ScalarExecutor::Jit(kernel)) = &automatic.scalar_executor else {
        panic!("f32 auto execution should select scalar JIT");
    };
    assert_eq!(kernel.precision(), JitPrecision::F32);
    let GradientExecutor::Jit(kernel) = &automatic.gradient_executor else {
        panic!("f32 auto execution should select gradient JIT");
    };
    assert_eq!(kernel.precision(), JitPrecision::F32);
    if interpreted.scalar_executor.is_some() {
        assert!(matches!(
            interpreted.scalar_executor,
            Some(ScalarExecutor::Interpreter(_))
        ));
    }
    (automatic, interpreted)
}

#[cfg(feature = "jit")]
fn f64_jit_and_interpreter(model: &CompiledModel) -> (CpuPlan, CpuPlan) {
    let automatic = CpuBackend.prepare(model);
    let interpreted = CpuBackend.prepare_with_execution_mode(model, CpuExecutionMode::Interpreter);

    if automatic.scalar_executor.is_some() {
        assert!(matches!(
            automatic.scalar_executor,
            Some(ScalarExecutor::Jit(_))
        ));
    }
    if interpreted.scalar_executor.is_some() {
        assert!(matches!(
            interpreted.scalar_executor,
            Some(ScalarExecutor::Interpreter(_))
        ));
    }
    (automatic, interpreted)
}

#[cfg(feature = "jit")]
fn assert_complex_close(actual: Complex64, expected: Complex64) {
    assert!(
        (actual - expected).norm() < 1.0e-6,
        "{actual} != {expected}"
    );
}

#[cfg(feature = "jit")]
fn assert_complex_slices_close(actual: &[Complex64], expected: &[Complex64]) {
    assert_eq!(actual.len(), expected.len());
    for (actual, expected) in actual.iter().zip(expected) {
        assert_complex_close(*actual, *expected);
    }
}

#[cfg(feature = "jit")]
fn assert_complex_close_f64(actual: Complex64, expected: Complex64) {
    assert!(
        (actual - expected).norm() < 1.0e-10,
        "{actual} != {expected}"
    );
}

#[cfg(feature = "jit")]
fn assert_complex_slices_close_f64(actual: &[Complex64], expected: &[Complex64]) {
    assert_eq!(actual.len(), expected.len());
    for (actual, expected) in actual.iter().zip(expected) {
        assert_complex_close_f64(*actual, *expected);
    }
}

mod autodiff;
mod cache;
#[cfg(feature = "jit")]
mod jit;
mod reduction;
mod scalar;