400Ping commented on code in PR #687: URL: https://github.com/apache/mahout/pull/687#discussion_r2594871337
########## qdp/qdp-core/examples/dataloader_throughput.rs: ########## @@ -0,0 +1,144 @@ +// +// Licensed to the Apache Software Foundation (ASF) under one or more +// contributor license agreements. See the NOTICE file distributed with +// this work for additional information regarding copyright ownership. +// The ASF licenses this file to You under the Apache License, Version 2.0 +// (the "License"); you may not use this file except in compliance with +// the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +// DataLoader-style throughput test +// Simulates a QML training loop that keeps the GPU fed with batches of vectors. +// Run: cargo run -p qdp-core --example dataloader_throughput --release + +use std::env; +use std::sync::mpsc; +use std::thread; +use std::time::{Duration, Instant}; + +use qdp_core::QdpEngine; + +const BATCH_SIZE: usize = 64; +const VECTOR_LEN: usize = 1024; // 2^10 +const NUM_QUBITS: usize = 10; + +fn build_sample(seed: u64) -> Vec<f64> { + // Lightweight deterministic pattern to keep CPU generation cheap + let mask = (VECTOR_LEN - 1) as u64; // power-of-two mask instead of modulo + let scale = 1.0 / VECTOR_LEN as f64; + + let mut out = Vec::with_capacity(VECTOR_LEN); + for i in 0..VECTOR_LEN { + let mixed = (i as u64 + seed) & mask; + out.push(mixed as f64 * scale); + } + out +} + +fn main() { + println!("=== QDP DataLoader Throughput ==="); + + let engine = match QdpEngine::new(0) { + Ok(engine) => engine, + Err(e) => { + eprintln!("CUDA unavailable or initialization failed: {:?}", e); + return; + } + }; + + let total_batches: usize = env::var("BATCHES") + .ok() + .and_then(|v| v.parse().ok()) + .unwrap_or(200); + let prefetch_depth: usize = env::var("PREFETCH") + .ok() + .and_then(|v| v.parse().ok()) + .filter(|v| *v > 0) + .unwrap_or(16); + let report_interval = Duration::from_secs(1); + + println!("Config:"); + println!(" batch size : {}", BATCH_SIZE); + println!(" vector length: {}", VECTOR_LEN); + println!(" num qubits : {}", NUM_QUBITS); + println!(" batches : {}", total_batches); + println!(" prefetch : {}", prefetch_depth); + println!(" env overrides: BATCHES=<usize> PREFETCH=<usize>"); + println!(); + + let (tx, rx) = mpsc::sync_channel(prefetch_depth); + + let producer = thread::spawn(move || { + for batch_idx in 0..total_batches { + let mut batch = Vec::with_capacity(BATCH_SIZE); + let seed_base = (batch_idx * BATCH_SIZE) as u64; + for i in 0..BATCH_SIZE { + batch.push(build_sample(seed_base + i as u64)); + } + if tx.send(batch).is_err() { + break; + } + } + }); + + let mut total_vectors = 0usize; + let mut last_report = Instant::now(); + let start = Instant::now(); + + for (batch_idx, batch) in rx.iter().enumerate() { + for sample in batch { Review Comment: Done. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
