spectre/analysis/
montecarlo.rs

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
//! Spectre Monte Carlo analysis options and data structures.

use crate::{Input, Spectre};
use serde::{Deserialize, Serialize};
use std::fmt::{Display, Formatter};
use std::ops::Deref;
use substrate::simulation::data::Save;
use substrate::simulation::{Analysis, Simulator, SupportedBy};
use substrate::types::schematic::{NestedNode, NestedTerminal, RawNestedNode};
use type_dispatch::impl_dispatch;

/// Level of statistical variation to apply in a Monte Carlo analysis.
#[derive(Copy, Clone, Default, Debug, Eq, PartialEq, Serialize, Deserialize)]
pub enum Variations {
    /// Batch-to-batch process variations.
    #[default]
    Process,
    /// Per-instance mismatch variations.
    Mismatch,
    /// Both process and mismatch variations.
    All,
}

impl Display for Variations {
    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
        write!(
            f,
            "{}",
            match self {
                Self::Process => "process",
                Self::Mismatch => "mismatch",
                Self::All => "all",
            }
        )
    }
}

/// A Monte Carlo analysis.
#[derive(Clone, Debug, Eq, PartialEq, Serialize, Deserialize)]
pub struct MonteCarlo<A> {
    /// Level of statistical variation to apply.
    pub variations: Variations,
    /// Number of Monte Carlo iterations to perform (not including nominal).
    pub numruns: usize,
    /// Starting seed for random number generator.
    pub seed: Option<u64>,
    /// Starting iteration number.
    pub firstrun: Option<usize>,
    /// The analysis to run.
    pub analysis: A,
}

/// A Monte Carlo simulation output.
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct Output<T>(pub(crate) Vec<T>);

impl<T> Deref for Output<T> {
    type Target = Vec<T>;

    fn deref(&self) -> &Self::Target {
        &self.0
    }
}

impl<T> Output<T> {
    /// Returns the underlying vector of outputs for each
    /// iteration of the Monte Carlo simulation.
    pub fn into_inner(self) -> Vec<T> {
        self.0
    }
}

impl<A: SupportedBy<Spectre>> From<MonteCarlo<A>> for MonteCarlo<Vec<Input>> {
    fn from(value: MonteCarlo<A>) -> Self {
        let mut analysis = Vec::new();
        value.analysis.into_input(&mut analysis);
        MonteCarlo {
            variations: value.variations,
            numruns: value.numruns,
            seed: value.seed,
            firstrun: value.firstrun,
            analysis,
        }
    }
}

#[impl_dispatch({NestedNode; RawNestedNode; NestedTerminal})]
impl<T, A: Analysis> Save<Spectre, MonteCarlo<A>> for T
where
    T: Save<Spectre, A>,
{
    type SaveKey = <T as Save<Spectre, A>>::SaveKey;
    type Saved = Vec<<T as Save<Spectre, A>>::Saved>;

    fn save(
        &self,
        ctx: &substrate::simulation::SimulationContext<Spectre>,
        opts: &mut <Spectre as Simulator>::Options,
    ) -> <Self as Save<Spectre, MonteCarlo<A>>>::SaveKey {
        self.save(ctx, opts)
    }

    fn from_saved(
        output: &<MonteCarlo<A> as Analysis>::Output,
        key: &<Self as Save<Spectre, MonteCarlo<A>>>::SaveKey,
    ) -> <Self as Save<Spectre, MonteCarlo<A>>>::Saved {
        output
            .0
            .iter()
            .map(|output| T::from_saved(output, key))
            .collect()
    }
}

// impl<A: Analysis, T: FromSaved<Spectre, A>> FromSaved<Spectre, MonteCarlo<A>> for Output<T> {
//     type SavedKey = T::SavedKey;
//
//     fn from_saved(output: &<MonteCarlo<A> as Analysis>::Output, key: &Self::SavedKey) -> Self {
//         Output(
//             output
//                 .0
//                 .iter()
//                 .map(|output| T::from_saved(output, key))
//                 .collect(),
//         )
//     }
// }
//
// impl<A: SupportedBy<Spectre>, T, S> Save<Spectre, MonteCarlo<A>, T> for Output<S>
// where
//     S: Save<Spectre, A, T>,
// {
//     fn save(
//         ctx: &SimulationContext<Spectre>,
//         to_save: T,
//         opts: &mut <Spectre as Simulator>::Options,
//     ) -> <Self as FromSaved<Spectre, MonteCarlo<A>>>::SavedKey {
//         S::save(ctx, to_save, opts)
//     }
// }

impl<A: Analysis> Analysis for MonteCarlo<A> {
    type Output = Output<A::Output>;
}

impl<A: SupportedBy<Spectre>> SupportedBy<Spectre> for MonteCarlo<A> {
    fn into_input(self, inputs: &mut Vec<<Spectre as Simulator>::Input>) {
        inputs.push(self.into());
    }
    fn from_output(
        outputs: &mut impl Iterator<Item = <Spectre as Simulator>::Output>,
    ) -> <Self as Analysis>::Output {
        let item = outputs.next().unwrap();
        let output: Output<Vec<crate::Output>> = item.try_into().unwrap();
        Output(
            output
                .0
                .into_iter()
                .map(|out| A::from_output(&mut out.into_iter()))
                .collect(),
        )
    }
}