use crate::http_client::tests::part_09::{BenchRuntime, RuntimeBenchResult};
#[derive(Debug, Clone, PartialEq)]
pub enum ModelFormat {
APR,
GGUF,
SafeTensors,
PyTorch,
ONNX,
}
#[derive(Debug, Clone)]
pub struct FormatComparisonResult {
pub format: ModelFormat,
pub model_name: String,
pub model_size_mb: f64,
pub load_time_ms: f64,
pub inference_throughput: f64,
pub memory_usage_mb: f64,
pub precision: String,
}
impl FormatComparisonResult {
pub fn new(
format: ModelFormat,
model_name: impl Into<String>,
size_mb: f64,
load_ms: f64,
throughput: f64,
memory_mb: f64,
precision: impl Into<String>,
) -> Self {
Self {
format,
model_name: model_name.into(),
model_size_mb: size_mb,
load_time_ms: load_ms,
inference_throughput: throughput,
memory_usage_mb: memory_mb,
precision: precision.into(),
}
}
}
pub struct AprGpuBenchReport {
pub results: Vec<FormatComparisonResult>,
pub baseline_format: ModelFormat,
pub gpu_name: String,
pub meets_qa046: bool,
}
impl AprGpuBenchReport {
pub fn new(
results: Vec<FormatComparisonResult>,
baseline: ModelFormat,
gpu: impl Into<String>,
) -> Self {
let has_apr = results.iter().any(|r| r.format == ModelFormat::APR);
let has_comparison = results.len() >= 2;
let meets_qa046 = has_apr && has_comparison;
Self {
results,
baseline_format: baseline,
gpu_name: gpu.into(),
meets_qa046,
}
}
pub fn get_speedup(&self, format: &ModelFormat) -> Option<f64> {
let baseline = self
.results
.iter()
.find(|r| r.format == self.baseline_format)?;
let target = self.results.iter().find(|r| &r.format == format)?;
Some(target.inference_throughput / baseline.inference_throughput)
}
}
#[test]
fn test_imp_199a_format_comparison() {
let result = FormatComparisonResult::new(
ModelFormat::APR,
"phi-2",
2700.0,
150.0,
95.0,
3200.0,
"FP32",
);
assert_eq!(
result.format,
ModelFormat::APR,
"IMP-199a: Should be APR format"
);
assert!(
result.inference_throughput > 0.0,
"IMP-199a: Should have throughput"
);
println!("\nIMP-199a: Format Comparison Result:");
println!(" Format: {:?}", result.format);
println!(" Model: {}", result.model_name);
println!(" Throughput: {:.1} tok/s", result.inference_throughput);
}
#[test]
fn test_imp_199b_apr_gpu_report() {
let results = vec![
FormatComparisonResult::new(
ModelFormat::APR,
"phi-2",
2700.0,
150.0,
95.0,
3200.0,
"FP32",
),
FormatComparisonResult::new(
ModelFormat::GGUF,
"phi-2-q4_k",
1800.0,
80.0,
143.0,
2100.0,
"Q4_K",
),
];
let report = AprGpuBenchReport::new(results, ModelFormat::GGUF, "RTX 4090");
assert!(
report.meets_qa046,
"IMP-199b: Should meet QA-046 with APR comparison"
);
let apr_speedup = report.get_speedup(&ModelFormat::APR);
assert!(
apr_speedup.is_some(),
"IMP-199b: Should calculate APR speedup"
);
println!("\nIMP-199b: APR GPU Benchmark Report:");
println!(" GPU: {}", report.gpu_name);
println!(" APR speedup vs GGUF: {:.2}x", apr_speedup.unwrap_or(0.0));
}
#[test]
fn test_imp_199c_all_formats() {
let formats = vec![
ModelFormat::APR,
ModelFormat::GGUF,
ModelFormat::SafeTensors,
ModelFormat::PyTorch,
ModelFormat::ONNX,
];
assert_eq!(formats.len(), 5, "IMP-199c: Should have 5 model formats");
println!("\nIMP-199c: All Model Formats:");
for format in formats {
println!(" {:?}", format);
}
}
#[test]
#[ignore = "Requires GPU and model files"]
fn test_imp_199d_realworld_apr_gpu() {
let results = vec![
FormatComparisonResult::new(
ModelFormat::APR,
"phi-2",
2700.0,
150.0,
95.0,
3200.0,
"FP32",
),
FormatComparisonResult::new(
ModelFormat::GGUF,
"phi-2-q4_k",
1800.0,
80.0,
143.0,
2100.0,
"Q4_K",
),
FormatComparisonResult::new(
ModelFormat::SafeTensors,
"phi-2",
5400.0,
200.0,
50.0,
5600.0,
"FP32",
),
];
let report = AprGpuBenchReport::new(results, ModelFormat::GGUF, "RTX 4090");
println!("\nIMP-199d: Real-World APR GPU Benchmark:");
for result in &report.results {
println!(
" {:?}: {:.1} tok/s, size={:.0}MB, precision={}",
result.format, result.inference_throughput, result.model_size_mb, result.precision
);
}
println!(
" QA-046: {}",
if report.meets_qa046 { "PASS" } else { "FAIL" }
);
}
#[derive(Debug, Clone, PartialEq)]
pub enum CITrigger {
PullRequest { pr_number: u64, branch: String },
Push { branch: String, commit: String },
Manual { user: String },
Schedule { cron: String },
}
#[derive(Debug, Clone, PartialEq)]
pub enum CIJobStatus {
Pending,
Running,
Success,
Failed { reason: String },
Cancelled,
}
#[derive(Debug, Clone)]
pub struct CIBenchJob {
pub job_id: String,
pub trigger: CITrigger,
pub benchmarks: Vec<String>,
pub status: CIJobStatus,
pub started_at: Option<String>,
pub completed_at: Option<String>,
}
impl CIBenchJob {
pub fn new(job_id: impl Into<String>, trigger: CITrigger, benchmarks: Vec<String>) -> Self {
Self {
job_id: job_id.into(),
trigger,
benchmarks,
status: CIJobStatus::Pending,
started_at: None,
completed_at: None,
}
}
pub fn start(&mut self, timestamp: impl Into<String>) {
self.status = CIJobStatus::Running;
self.started_at = Some(timestamp.into());
}
pub fn complete(
&mut self,
success: bool,
timestamp: impl Into<String>,
reason: Option<String>,
) {
self.status = if success {
CIJobStatus::Success
} else {
CIJobStatus::Failed {
reason: reason.unwrap_or_else(|| "Unknown error".to_string()),
}
};
self.completed_at = Some(timestamp.into());
}
}
pub struct CIPipelineConfig {
pub benchmarks_enabled: bool,
pub benchmark_on_pr: bool,
pub benchmark_on_push: bool,
pub benchmark_branches: Vec<String>,
pub timeout_minutes: u32,
pub meets_qa047: bool,
}
impl CIPipelineConfig {
pub fn new(on_pr: bool, on_push: bool, branches: Vec<String>, timeout: u32) -> Self {
let meets_qa047 = on_pr; Self {
benchmarks_enabled: true,
benchmark_on_pr: on_pr,
benchmark_on_push: on_push,
benchmark_branches: branches,
timeout_minutes: timeout,
meets_qa047,
}
}
pub fn should_run(&self, trigger: &CITrigger) -> bool {
match trigger {
CITrigger::PullRequest { .. } => self.benchmark_on_pr,
CITrigger::Push { branch, .. } => {
self.benchmark_on_push && self.benchmark_branches.contains(branch)
},
CITrigger::Manual { .. } => true,
CITrigger::Schedule { .. } => true,
}
}
}
#[test]
fn test_imp_200a_ci_bench_job() {
let trigger = CITrigger::PullRequest {
pr_number: 123,
branch: "feature/perf".to_string(),
};
let benchmarks = vec!["bench-inference-all".to_string(), "bench-cpu".to_string()];
let mut job = CIBenchJob::new("job-001", trigger, benchmarks);
assert_eq!(
job.status,
CIJobStatus::Pending,
"IMP-200a: Should start pending"
);
job.start("2024-01-15T10:00:00Z");
assert_eq!(
job.status,
CIJobStatus::Running,
"IMP-200a: Should be running"
);
job.complete(true, "2024-01-15T10:30:00Z", None);
assert_eq!(job.status, CIJobStatus::Success, "IMP-200a: Should succeed");
println!("\nIMP-200a: CI Benchmark Job:");
println!(" Job ID: {}", job.job_id);
println!(" Status: {:?}", job.status);
println!(" Benchmarks: {:?}", job.benchmarks);
}
#[test]
fn test_imp_200b_ci_pipeline_config() {
let config = CIPipelineConfig::new(
true,
true,
vec!["main".to_string(), "release".to_string()],
60,
);
assert!(
config.meets_qa047,
"IMP-200b: Should meet QA-047 with PR benchmarks"
);
assert!(
config.benchmark_on_pr,
"IMP-200b: Should enable PR benchmarks"
);
let pr_trigger = CITrigger::PullRequest {
pr_number: 1,
branch: "test".to_string(),
};
assert!(config.should_run(&pr_trigger), "IMP-200b: Should run on PR");
println!("\nIMP-200b: CI Pipeline Config:");
println!(" On PR: {}", config.benchmark_on_pr);
println!(" On Push: {}", config.benchmark_on_push);
println!(" Branches: {:?}", config.benchmark_branches);
}
#[test]
fn test_imp_200c_ci_triggers() {
let triggers = vec![
CITrigger::PullRequest {
pr_number: 123,
branch: "feature".to_string(),
},
CITrigger::Push {
branch: "main".to_string(),
commit: "abc123".to_string(),
},
CITrigger::Manual {
user: "developer".to_string(),
},
CITrigger::Schedule {
cron: "0 0 * * *".to_string(),
},
];
assert_eq!(triggers.len(), 4, "IMP-200c: Should have 4 trigger types");
println!("\nIMP-200c: CI Triggers:");
for trigger in triggers {
println!(" {:?}", trigger);
}
}
#[test]
#[ignore = "Requires CI infrastructure"]
fn test_imp_200d_realworld_ci_pipeline() {
let config = CIPipelineConfig::new(true, true, vec!["main".to_string()], 60);
let trigger = CITrigger::PullRequest {
pr_number: 456,
branch: "perf/optimize".to_string(),
};
let benchmarks = vec![
"bench-inference-all".to_string(),
"bench-gguf-gpu".to_string(),
"bench-apr-gpu".to_string(),
];
let mut job = CIBenchJob::new("ci-456-bench", trigger, benchmarks);
if config.should_run(&job.trigger) {
job.start("2024-01-15T10:00:00Z");
job.complete(true, "2024-01-15T10:45:00Z", None);
}
println!("\nIMP-200d: Real-World CI Pipeline:");
println!(" Config meets QA-047: {}", config.meets_qa047);
println!(" Job status: {:?}", job.status);
}
include!("dashboard_metric_data.rs");
include!("doc_sync.rs");
include!("imp_205a.rs");