apr-cli 0.31.1

CLI tool for APR model inspection, debugging, and 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

//! GPU status and VRAM reservation management (GPU-SHARE-001, GH-152).
//!
//! Displays GPU detection info, VRAM capacity, active reservations,
//! and available budget from the entrenar VRAM ledger.

use crate::error::Result;
use crate::CliError;

#[provable_contracts_macros::contract(
    "apr-cli-operations-v1",
    equation = "side_effect_classification"
)]
pub fn run(json: bool) -> Result<()> {
    contract_pre_json_output_consistency!();
    let uuid = entrenar::gpu::ledger::detect_gpu_uuid();
    let total_mb = entrenar::gpu::ledger::detect_total_memory_mb();
    let mem_type = entrenar::gpu::ledger::detect_memory_type();

    // Contract: apr-gpu-presence-v1 F-GPU-PRESENCE-001 (paiml/aprender#624).
    // The entrenar API returns sentinel values ("GPU-unknown", 0) on hosts with no
    // discrete GPU. Disambiguate so consumers can tell "no GPU" from "GPU with 0 MB used".
    let gpu_present = uuid != "GPU-unknown" && total_mb > 0;

    let ledger =
        entrenar::gpu::ledger::VramLedger::new(uuid.clone(), total_mb, mem_type.reserve_factor());

    if json {
        let reservations = ledger
            .read_reservations()
            .map_err(|e| CliError::Aprender(format!("ledger read: {e}")))?;
        let reserved: usize = reservations
            .iter()
            .map(|r| r.actual_mb.unwrap_or(r.budget_mb))
            .sum();

        let json_val = serde_json::json!({
            "gpu_present": gpu_present,
            "gpu_uuid": uuid,
            "total_mb": total_mb,
            "memory_type": format!("{mem_type:?}"),
            "reserve_factor": (f64::from(mem_type.reserve_factor()) * 100.0).round() / 100.0,
            "capacity_mb": ledger.capacity_mb(),
            "reserved_mb": reserved,
            "available_mb": ledger.capacity_mb().saturating_sub(reserved),
            "reservations": reservations.iter().map(|r| serde_json::json!({
                "id": r.id,
                "pid": r.pid,
                "budget_mb": r.budget_mb,
                "actual_mb": r.actual_mb,
                "task": r.task,
                "started": r.started.to_rfc3339(),
                "lease_expires": r.lease_expires.to_rfc3339(),
            })).collect::<Vec<_>>(),
        });
        println!(
            "{}",
            serde_json::to_string_pretty(&json_val).unwrap_or_default()
        );
    } else if !gpu_present {
        // Contract: apr-gpu-presence-v1 F-GPU-PRESENCE-001 (paiml/aprender#624).
        println!("No discrete GPU detected on this host.");
        println!("  (entrenar ledger returned uuid={uuid}, total_mb={total_mb})");
        println!("  Hint: use `apr run --device cpu <model>` for CPU inference.");
    } else {
        println!("GPU: {uuid}");
        println!("Total: {total_mb} MB");
        println!(
            "Type: {mem_type:?} (reserve factor: {:.0}%)",
            mem_type.reserve_factor() * 100.0
        );
        println!();

        match entrenar::gpu::ledger::gpu_status_display(&ledger) {
            Ok(status) => print!("{status}"),
            Err(e) => eprintln!("Ledger error: {e}"),
        }
    }

    contract_post_json_output_consistency!(&());
    Ok(())
}