#[test]
fn test_parity050f_summary() {
println!("PARITY-050f: Batch Inference Analysis Summary");
println!("=============================================");
println!();
println!(" FINDINGS:");
println!(" ---------");
println!(" 1. Extensive batch infrastructure already exists in realizar");
println!(" 2. ContinuousBatchScheduler (PARITY-028) provides dynamic batching");
println!(" 3. GPU FFN wins at batch >= 30 (PARITY-046)");
println!(" 4. Memory allows batch=16+ on RTX 4090 (24GB VRAM)");
println!(" 5. HTTP integration is low complexity (existing components)");
println!();
println!(" M4 PARITY PATH:");
println!(" ---------------");
println!(" Current: 64 tok/s (single-token ceiling)");
println!(" Target: 192 tok/s (Ollama * 0.8)");
println!(" Method: Enable batch inference in HTTP API");
println!(" Batch size needed: >= 16");
println!();
println!(" NEXT STEPS:");
println!(" -----------");
println!(" PARITY-051: Wire ContinuousBatchScheduler to /v1/completions");
println!(" PARITY-052: Add request queuing with batch window");
println!(" PARITY-053: Benchmark batch throughput");
println!(" PARITY-054: Achieve M4 parity validation");
println!();
println!(" CONCLUSION:");
println!(" -----------");
println!(" M4 parity is achievable without new GPU optimizations.");
println!(" The path is wiring existing batch infrastructure to HTTP serving.");
println!(" Single-token optimization has reached its ceiling at 64 tok/s.");
println!(" Batch inference is the ONLY path to 3x improvement needed for M4.");
assert!(true, "PARITY-050f: Summary documented");
}
#[test]
fn test_parity051a_appstate_batch_integration() {
struct AppStateChange {
field: &'static str,
field_type: &'static str,
purpose: &'static str,
complexity: &'static str,
}
let changes = [
AppStateChange {
field: "batch_scheduler",
field_type: "Option<Arc<ContinuousBatchScheduler>>",
purpose: "Scheduler instance for continuous batching",
complexity: "Low - add field and initialization",
},
AppStateChange {
field: "batch_request_tx",
field_type: "Option<tokio::sync::mpsc::Sender<BatchRequest>>",
purpose: "Channel to queue incoming requests",
complexity: "Low - standard tokio channel",
},
AppStateChange {
field: "batch_config",
field_type: "BatchConfig { window_ms: u64, min_batch: usize }",
purpose: "Configuration for batch window and minimum batch size",
complexity: "Low - simple config struct",
},
];
println!("PARITY-051a: AppState Batch Integration Changes");
println!("================================================");
println!();
for change in &changes {
println!(" Field: {}", change.field);
println!(" Type: {}", change.field_type);
println!(" Purpose: {}", change.purpose);
println!(" Complexity: {}", change.complexity);
println!();
}
println!(" EXISTING INFRASTRUCTURE:");
println!(" - ContinuousBatchScheduler already in gguf.rs (PARITY-028)");
println!(" - OwnedQuantizedModelCachedSync for cached inference");
println!(" - DispatchMetrics for CPU/GPU tracking");
println!();
println!(" CONCLUSION: 3 new fields needed in AppState");
let low_count = changes
.iter()
.filter(|c| c.complexity.starts_with("Low"))
.count();
assert_eq!(low_count, 3, "All changes should be low complexity");
}
#[test]
fn test_parity051b_async_channel_architecture() {
struct ChannelDesign {
channel_type: &'static str,
direction: &'static str,
purpose: &'static str,
}
let channels = [
ChannelDesign {
channel_type: "mpsc::channel<BatchRequest>(1024)",
direction: "Handler -> BatchProcessor",
purpose: "Queue incoming requests from HTTP handlers",
},
ChannelDesign {
channel_type: "oneshot::channel<BatchResponse>",
direction: "BatchProcessor -> Handler",
purpose: "Return result to waiting HTTP handler",
},
];
struct BatchRequestSpec {
field: &'static str,
purpose: &'static str,
}
let request_fields = [
BatchRequestSpec {
field: "prompt_tokens: Vec<u32>",
purpose: "Tokenized input prompt",
},
BatchRequestSpec {
field: "max_tokens: usize",
purpose: "Maximum tokens to generate",
},
BatchRequestSpec {
field: "temperature: f32",
purpose: "Sampling temperature",
},
BatchRequestSpec {
field: "response_tx: oneshot::Sender<BatchResponse>",
purpose: "Channel to send result back to handler",
},
];
println!("PARITY-051b: Async Channel Architecture");
println!("=======================================");
println!();
println!(" CHANNEL DESIGN:");
for ch in &channels {
println!(" {} ({})", ch.channel_type, ch.direction);
println!(" Purpose: {}", ch.purpose);
println!();
}
println!(" BatchRequest STRUCTURE:");
for field in &request_fields {
println!(" {}", field.field);
println!(" {}", field.purpose);
}
println!();
println!(" FLOW:");
println!(" 1. HTTP handler receives /v1/completions request");
println!(" 2. Handler creates oneshot channel for response");
println!(" 3. Handler sends BatchRequest via mpsc channel");
println!(" 4. Handler awaits on oneshot receiver");
println!(" 5. BatchProcessor collects requests in batch window");
println!(" 6. BatchProcessor runs batch inference");
println!(" 7. BatchProcessor sends results via oneshot channels");
println!(" 8. Handler receives result and returns HTTP response");
assert_eq!(channels.len(), 2, "Need request and response channels");
}
#[test]
fn test_parity051c_batch_window_mechanism() {
struct BatchStrategy {
condition: &'static str,
action: &'static str,
latency_impact: &'static str,
}
let strategies = [
BatchStrategy {
condition: "Batch size >= 16 (M4 threshold)",
action: "Process immediately",
latency_impact: "0ms additional latency",
},
BatchStrategy {
condition: "Window timeout (10ms) reached",
action: "Process current batch",
latency_impact: "≤10ms additional latency",
},
BatchStrategy {
condition: "Batch size >= 32 (GPU optimal)",
action: "Process immediately",
latency_impact: "0ms additional latency",
},
BatchStrategy {
condition: "Single request + low load",
action: "Fallback to single-request path",
latency_impact: "0ms (bypass batching)",
},
];
println!("PARITY-051c: Batch Window Mechanism");
println!("===================================");
println!();
println!(" BATCH WINDOW CONFIGURATION:");
println!(" window_ms: 10 (maximum wait time)");
println!(" min_batch: 4 (minimum batch for GPU benefit)");
println!(" optimal_batch: 16 (M4 parity threshold)");
println!(" max_batch: 32 (GPU optimal from PARITY-046)");
println!();
println!(" STRATEGIES:");
for s in &strategies {
println!(" Condition: {}", s.condition);
println!(" Action: {}", s.action);
println!(" Latency: {}", s.latency_impact);
println!();
}
println!(" LATENCY vs THROUGHPUT TRADEOFF:");
println!(" - Small batch (1-4): Low latency, low throughput");
println!(" - Medium batch (8-16): Medium latency, M4 throughput");
println!(" - Large batch (32+): Higher latency, maximum throughput");
println!();
println!(" ADAPTIVE BEHAVIOR:");
println!(" Under high load: Batches fill quickly, minimal wait");
println!(" Under low load: Single-request fallback, no added latency");
assert!(
strategies.iter().any(|s| s.condition.contains("16")),
"M4 threshold should be documented"
);
}
#[test]
fn test_parity051d_batch_processor_task() {
println!("PARITY-051d: Background Batch Processor Task");
println!("============================================");
println!();
println!(" TASK STRUCTURE (pseudo-code):");
println!(" ```rust");
println!(" async fn batch_processor(");
println!(" mut rx: mpsc::Receiver<BatchRequest>,");
println!(" scheduler: Arc<ContinuousBatchScheduler>,");
println!(" model: Arc<OwnedQuantizedModelCachedSync>,");
println!(" config: BatchConfig,");
println!(" ) {{");
println!(" let mut batch: Vec<BatchRequest> = Vec::new();");
println!(" let mut window_start = Instant::now();");
println!(" ");
println!(" loop {{");
println!(" // Collect requests until batch ready or timeout");
println!(
" match timeout(Duration::from_millis(config.window_ms), rx.recv()).await {{"
);
println!(" Ok(Some(req)) => batch.push(req),");
println!(" Ok(None) => break, // Channel closed");
println!(" Err(_) => {{ }} // Timeout, process batch");
println!(" }}");
println!(" ");
println!(" // Process batch when ready");
println!(" let should_process = batch.len() >= config.optimal_batch");
println!(" || window_start.elapsed() >= Duration::from_millis(config.window_ms);");
println!(" ");
println!(" if should_process && !batch.is_empty() {{");
println!(" process_batch(&scheduler, &model, &mut batch).await;");
println!(" window_start = Instant::now();");
println!(" }}");
println!(" }}");
println!(" }}");
println!(" ```");
println!();
println!(" PROCESS_BATCH STEPS:");
println!(" 1. Submit all requests to ContinuousBatchScheduler");
println!(" 2. Call model.forward_batch_with_gpu_ffn() for batch inference");
println!(" 3. Poll scheduler for completed results");
println!(" 4. Send results via oneshot channels to waiting handlers");
println!(" 5. Clear batch, reset window timer");
println!();
println!(" CONCURRENCY:");
println!(" - Single batch processor task (serialized batches)");
println!(" - Multiple HTTP handlers can queue concurrently");
println!(" - Scheduler handles slot management thread-safely");
assert!(true, "PARITY-051d: Batch processor documented");
}
#[test]
fn test_parity051e_completions_handler_modification() {
println!("PARITY-051e: Completions Handler Modification");
println!("=============================================");
println!();
println!(" CURRENT FLOW (single-request):");
println!(" 1. Receive request");
println!(" 2. Tokenize prompt");
println!(" 3. Call model.generate_with_cache()");
println!(" 4. Decode output");
println!(" 5. Return response");
println!();
println!(" NEW FLOW (batch-enabled):");
println!(" 1. Receive request");
println!(" 2. Tokenize prompt");
println!(" 3. IF batch_request_tx available:");
println!(" a. Create oneshot channel");
println!(" b. Send BatchRequest via mpsc");
println!(" c. Await oneshot response");
println!(" 4. ELSE:");
println!(" a. Call model.generate_with_cache() (fallback)");
println!(" 5. Decode output");
println!(" 6. Return response");
println!();
println!(" CODE CHANGE LOCATION:");
println!(" File: src/api.rs");
println!(" Function: openai_completions_handler (line ~2866)");
println!(" Change: Add batch path before single-request fallback");
println!();
println!(" BACKWARD COMPATIBILITY:");
println!(" - Batch mode is opt-in via AppState configuration");
println!(" - Default behavior unchanged (single-request)");
println!(" - No breaking changes to API contract");
assert!(true, "PARITY-051e: Handler modification documented");
}
#[test]
fn test_parity051f_performance_projections() {
struct PerformanceProjection {
scenario: &'static str,
batch_size: usize,
projected_toks: f64,
latency_p50_ms: f64,
m4_status: &'static str,
}
let projections = [
PerformanceProjection {
scenario: "Single request (current)",
batch_size: 1,
projected_toks: 64.0,
latency_p50_ms: 15.6, m4_status: "❌ 3x below",
},
PerformanceProjection {
scenario: "Low concurrency (4 users)",
batch_size: 4,
projected_toks: 100.0,
latency_p50_ms: 40.0,
m4_status: "❌ 1.9x below",
},
PerformanceProjection {
scenario: "Medium concurrency (16 users)",
batch_size: 16,
projected_toks: 192.0,
latency_p50_ms: 83.0,
m4_status: "✅ M4 ACHIEVED",
},
PerformanceProjection {
scenario: "High concurrency (32 users)",
batch_size: 32,
projected_toks: 256.0,
latency_p50_ms: 125.0,
m4_status: "✅ Beyond M4",
},
];
println!("PARITY-051f: Performance Projections");
println!("====================================");
println!();
println!(
" {:30} | {:>10} | {:>12} | {:>12} | {:>12}",
"Scenario", "Batch Size", "Throughput", "Latency p50", "M4 Status"
);
println!(
" {:-<30}-|-{:->10}-|-{:->12}-|-{:->12}-|-{:->12}",
"", "", "", "", ""
);
for p in &projections {
println!(
" {:30} | {:>10} | {:>10.0} tok/s | {:>10.1} ms | {}",
p.scenario, p.batch_size, p.projected_toks, p.latency_p50_ms, p.m4_status
);
}
println!();
println!(" KEY INSIGHTS:");
println!(" - M4 parity achieved at 16 concurrent users");
println!(" - Latency increases with batch size (expected tradeoff)");
println!(" - Single-request latency unchanged (fallback path)");
println!();
println!(" LOAD TESTING PLAN (PARITY-053):");
println!(" - Use wrk/ab to generate concurrent requests");
println!(" - Measure throughput at various concurrency levels");
println!(" - Verify M4 parity (192 tok/s) at 16+ concurrent requests");
let m4_achieved = projections
.iter()
.any(|p| p.batch_size == 16 && p.m4_status.contains("ACHIEVED"));
assert!(m4_achieved, "M4 should be achieved at batch=16");
}