sipp-rs 0.1.0

Unified Rust library for extensible Sipp inference
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

//! Tests the `runtime::inference_runtime::embedding_read` module in `sipp`.
//!
//! Covers deterministic inference-runtime helpers, state transitions, and error paths while avoiding native model execution unless a test is explicitly ignored.

use super::*;
use crate::engine::protocol::EmbedOptions;
use crate::engine::protocol::PoolingType;
use crate::error::Error;
use crate::runtime::config::NativeRuntimeConfig;
use crate::runtime::inference_runtime::runtime_tests::test_runtime;
use crate::runtime::request::GenerateRequest;
use crate::runtime::scheduler::SlotState;

fn approx_eq(a: f32, b: f32) -> bool {
    (a - b).abs() < 1e-5
}

#[test]
fn l2_normalize_unit_vector_is_idempotent() {
    let mut values = vec![1.0, 0.0, 0.0];
    l2_normalize(&mut values);
    assert!(approx_eq(values[0], 1.0));
    assert!(approx_eq(values[1], 0.0));
    assert!(approx_eq(values[2], 0.0));
}

#[test]
fn l2_normalize_scales_to_unit_length() {
    let mut values = vec![3.0, 4.0];
    l2_normalize(&mut values);
    let sum_sq: f32 = values.iter().map(|v| v * v).sum();
    assert!(approx_eq(sum_sq.sqrt(), 1.0));
    assert!(approx_eq(values[0], 0.6));
    assert!(approx_eq(values[1], 0.8));
}

#[test]
fn l2_normalize_zero_vector_is_left_alone() {
    let mut values = vec![0.0, 0.0, 0.0];
    l2_normalize(&mut values);
    for value in &values {
        assert_eq!(*value, 0.0);
    }
}

#[test]
fn apply_normalization_skips_rank_pooling() {
    let output = apply_normalization(vec![3.0, 4.0], PoolingType::Rank, true);
    assert!(!output.normalized);
    assert_eq!(output.pooling, PoolingType::Rank);
    assert_eq!(output.values, vec![3.0, 4.0]);
}

#[test]
fn apply_normalization_respects_normalize_request() {
    let output = apply_normalization(vec![3.0, 4.0], PoolingType::Mean, false);
    assert!(!output.normalized);
    assert_eq!(output.values, vec![3.0, 4.0]);

    let output = apply_normalization(vec![3.0, 4.0], PoolingType::Mean, true);
    assert!(output.normalized);
    assert!(approx_eq(output.values[0], 0.6));
    assert!(approx_eq(output.values[1], 0.8));
}

#[test]
fn slot_inputs_rejects_missing_slot() {
    let runtime = test_runtime(NativeRuntimeConfig::default());

    let error = slot_inputs(&runtime, 0).expect_err("missing slot");

    assert!(matches!(error, Error::RuntimeNotReady));
}

#[test]
fn slot_inputs_rejects_missing_request_and_embed_options() {
    let mut runtime = test_runtime(NativeRuntimeConfig::default());
    runtime.slot_scheduler.slots.push(SlotState::new(0));

    let error = slot_inputs(&runtime, 0).expect_err("missing request");
    assert!(matches!(
        error,
        Error::InvalidRequest(message) if message.contains("no request")
    ));

    let mut request = GenerateRequest::new(4, "ctx");
    request.prompt_tokens = vec![1];
    runtime.slot_scheduler.slots[0].request = Some(request);

    let error = slot_inputs(&runtime, 0).expect_err("missing embed options");
    assert!(matches!(
        error,
        Error::InvalidRequest(message) if message.contains("without embed options")
    ));
}

#[test]
fn read_pooled_embedding_rejects_negative_sequence_and_zero_dimensions() {
    let mut runtime = test_runtime(NativeRuntimeConfig::default());

    let error = runtime
        .read_pooled_embedding(-1)
        .expect_err("negative sequence id");
    assert!(matches!(
        error,
        Error::InvalidRequest(message) if message.contains("no sequence id")
    ));

    runtime.capabilities.embedding_dimensions = 0;
    runtime.capabilities.pooling_type = PoolingType::Mean;
    let error = runtime
        .read_pooled_embedding(0)
        .expect_err("zero dimensions");
    assert!(matches!(
        error,
        Error::UnsupportedOperation {
            operation: "embed",
            reason
        } if reason.contains("zero embedding dimensions")
    ));
}

#[test]
fn slot_inputs_returns_sequence_id_and_normalize_flag() {
    let mut runtime = test_runtime(NativeRuntimeConfig::default());
    let mut slot = SlotState::new(0);
    let mut request = GenerateRequest::new(4, "ctx");
    request.embed_options = Some(EmbedOptions {
        normalize: false,
        context_key: Some("ctx".to_string()),
    });
    slot.seq_id = 9;
    slot.request = Some(request);
    runtime.slot_scheduler.slots.push(slot);

    assert_eq!(slot_inputs(&runtime, 0).expect("slot inputs"), (9, false));
}