burn-train 0.22.1

Training crate for the Burn framework
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
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
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
use crate::metric::processor::{EvaluatorEvent, EventProcessorError, EventProcessorEvaluation};

use super::EventProcessorTraining;
use async_channel::{Receiver, Sender};
use std::thread::JoinHandle;

/// Event processor for the training process.
///
/// Events are processed on a separate thread. An error an event causes is only known after
/// the call that submitted it has returned and is reported by a later call:
/// [`process_train`](EventProcessorTraining::process_train),
/// [`process_valid`](EventProcessorTraining::process_valid) or
/// [`flush`](EventProcessorTraining::flush), whichever comes first. That call returns every
/// failure since the last one it reported, as one [`EventProcessorError`].
pub struct AsyncProcessorTraining<ET, EV> {
    sender: Sender<Message<ET, EV>>,
    worker: Worker,
}

/// Event processor for the model evaluation.
///
/// Like [`AsyncProcessorTraining`], an event's error is reported by a later call.
pub struct AsyncProcessorEvaluation<P: EventProcessorEvaluation> {
    sender: Sender<EvalMessage<P>>,
    worker: Worker,
}

/// The thread a processor runs on, kept so its failure can be reported.
///
/// A processor reads tensors (metrics) where a failed computation surfaces. Those failures come
/// back as errors through `error_rec`.
struct Worker {
    handle: Option<JoinHandle<()>>,
    error_rec: Receiver<EventProcessorError>,
}

impl Worker {
    fn new(handle: JoinHandle<()>, error_rec: Receiver<EventProcessorError>) -> Self {
        Self {
            handle: Some(handle),
            error_rec,
        }
    }

    /// Every error the worker reported since the last call, if any, merged in order.
    fn check_errors(&self) -> Result<(), EventProcessorError> {
        let Ok(mut reported) = self.error_rec.try_recv() else {
            return Ok(());
        };
        while let Ok(later) = self.error_rec.try_recv() {
            reported.merge(later);
        }
        Err(reported)
    }

    /// The channel to the worker is closed: re-raise whatever stopped it.
    fn died(&mut self) -> ! {
        match self.handle.take().map(JoinHandle::join) {
            Some(Err(payload)) => std::panic::resume_unwind(payload),
            _ => panic!("the event processor worker stopped without reporting an error"),
        }
    }
}

struct WorkerTraining<ET, EV, P: EventProcessorTraining<ET, EV>> {
    processor: P,
    rec: Receiver<Message<ET, EV>>,
    error_sender: Sender<EventProcessorError>,
}

struct WorkerEvaluation<P: EventProcessorEvaluation> {
    processor: P,
    rec: Receiver<EvalMessage<P>>,
    error_sender: Sender<EventProcessorError>,
}

fn report(error_sender: &Sender<EventProcessorError>, result: Result<(), EventProcessorError>) {
    if let Err(err) = result {
        let _ = error_sender.try_send(err);
    }
}

impl<ET: Send + 'static, EV: Send + 'static, P: EventProcessorTraining<ET, EV> + 'static>
    WorkerTraining<ET, EV, P>
{
    pub fn start(
        processor: P,
        rec: Receiver<Message<ET, EV>>,
        error_sender: Sender<EventProcessorError>,
    ) -> JoinHandle<()> {
        let mut worker = Self {
            processor,
            rec,
            error_sender,
        };
        std::thread::Builder::new()
            .name("train-worker".into())
            .spawn(move || {
                while let Ok(msg) = worker.rec.recv_blocking() {
                    match msg {
                        Message::Train(event) => {
                            report(&worker.error_sender, worker.processor.process_train(event))
                        }
                        Message::Valid(event) => {
                            report(&worker.error_sender, worker.processor.process_valid(event))
                        }
                        Message::Flush(callback) => {
                            report(&worker.error_sender, worker.processor.flush());
                            callback.send_blocking(()).unwrap();
                        }
                        Message::Renderer(callback) => {
                            callback.send_blocking(worker.processor.renderer()).unwrap();
                            return;
                        }
                    }
                }
            })
            .unwrap()
    }
}
impl<P: EventProcessorEvaluation + 'static> WorkerEvaluation<P> {
    pub fn start(
        processor: P,
        rec: Receiver<EvalMessage<P>>,
        error_sender: Sender<EventProcessorError>,
    ) -> JoinHandle<()> {
        let mut worker = Self {
            processor,
            rec,
            error_sender,
        };

        std::thread::Builder::new()
            .name("evel-worker".into())
            .spawn(move || {
                while let Ok(event) = worker.rec.recv_blocking() {
                    match event {
                        EvalMessage::Test(event) => {
                            report(&worker.error_sender, worker.processor.process_test(event))
                        }
                        EvalMessage::Flush(callback) => {
                            report(&worker.error_sender, worker.processor.flush());
                            callback.send_blocking(()).unwrap();
                        }
                        EvalMessage::Renderer(sender) => {
                            sender.send_blocking(worker.processor.renderer()).unwrap();
                            return;
                        }
                    }
                }
            })
            .unwrap()
    }
}

impl<ET: Send + 'static, EV: Send + 'static> AsyncProcessorTraining<ET, EV> {
    /// Create an event processor for training.
    pub fn new<P: EventProcessorTraining<ET, EV> + 'static>(processor: P) -> Self {
        let (sender, rec) = async_channel::bounded(1);
        let (error_sender, error_rec) = async_channel::unbounded();

        let worker = Worker::new(
            WorkerTraining::start(processor, rec, error_sender),
            error_rec,
        );

        Self { sender, worker }
    }
}

impl<P: EventProcessorEvaluation + 'static> AsyncProcessorEvaluation<P> {
    /// Create an event processor for model evaluation.
    pub fn new(processor: P) -> Self {
        let (sender, rec) = async_channel::bounded(1);
        let (error_sender, error_rec) = async_channel::unbounded();

        let worker = Worker::new(
            WorkerEvaluation::start(processor, rec, error_sender),
            error_rec,
        );

        Self { sender, worker }
    }
}

enum Message<EventTrain, EventValid> {
    Train(EventTrain),
    Valid(EventValid),
    Flush(Sender<()>),
    Renderer(Sender<Box<dyn crate::renderer::MetricsRenderer>>),
}

enum EvalMessage<P: EventProcessorEvaluation> {
    Test(EvaluatorEvent<P::ItemTest>),
    Flush(Sender<()>),
    Renderer(Sender<Box<dyn crate::renderer::MetricsRenderer>>),
}

impl<ET: Send, EV: Send> EventProcessorTraining<ET, EV> for AsyncProcessorTraining<ET, EV> {
    fn process_train(&mut self, event: ET) -> Result<(), EventProcessorError> {
        if self.sender.send_blocking(Message::Train(event)).is_err() {
            self.worker.died();
        }
        self.worker.check_errors()
    }

    fn process_valid(&mut self, event: EV) -> Result<(), EventProcessorError> {
        if self.sender.send_blocking(Message::Valid(event)).is_err() {
            self.worker.died();
        }
        self.worker.check_errors()
    }

    fn flush(&mut self) -> Result<(), EventProcessorError> {
        let (sender, receiver) = async_channel::bounded(1);
        if self.sender.send_blocking(Message::Flush(sender)).is_err()
            || receiver.recv_blocking().is_err()
        {
            self.worker.died();
        }
        self.worker.check_errors()
    }

    fn renderer(mut self) -> Box<dyn crate::renderer::MetricsRenderer> {
        let (sender, rec) = async_channel::bounded(1);
        if self
            .sender
            .send_blocking(Message::Renderer(sender))
            .is_err()
        {
            self.worker.died();
        }

        match rec.recv_blocking() {
            Ok(value) => value,
            Err(_) => self.worker.died(),
        }
    }
}

impl<P: EventProcessorEvaluation> EventProcessorEvaluation for AsyncProcessorEvaluation<P> {
    type ItemTest = P::ItemTest;

    fn process_test(
        &mut self,
        event: EvaluatorEvent<Self::ItemTest>,
    ) -> Result<(), EventProcessorError> {
        if self.sender.send_blocking(EvalMessage::Test(event)).is_err() {
            self.worker.died();
        }
        self.worker.check_errors()
    }

    fn flush(&mut self) -> Result<(), EventProcessorError> {
        let (sender, receiver) = async_channel::bounded(1);
        if self
            .sender
            .send_blocking(EvalMessage::Flush(sender))
            .is_err()
            || receiver.recv_blocking().is_err()
        {
            self.worker.died();
        }
        self.worker.check_errors()
    }

    fn renderer(mut self) -> Box<dyn crate::renderer::MetricsRenderer> {
        let (sender, rec) = async_channel::bounded(1);
        if self
            .sender
            .send_blocking(EvalMessage::Renderer(sender))
            .is_err()
        {
            self.worker.died();
        }

        match rec.recv_blocking() {
            Ok(value) => value,
            Err(_) => self.worker.died(),
        }
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::metric::{
        processor::{EventProcessorFailure, ItemLazy, MetricError},
        store::Split,
    };
    use crate::renderer::{MetricsRenderer, cli::CliMetricsRenderer};
    use burn_core::tensor::TensorReadError;
    use burn_std::ExecutionError;
    use std::sync::{
        Arc,
        atomic::{AtomicUsize, Ordering},
    };

    struct TestProcessor {
        processed: Arc<AtomicUsize>,
        processed_on_flush: Arc<AtomicUsize>,
    }

    impl EventProcessorTraining<usize, usize> for TestProcessor {
        fn process_train(&mut self, event: usize) -> Result<(), EventProcessorError> {
            self.processed.fetch_add(event, Ordering::SeqCst);
            Ok(())
        }

        fn process_valid(&mut self, event: usize) -> Result<(), EventProcessorError> {
            self.processed.fetch_add(event, Ordering::SeqCst);
            Ok(())
        }

        fn flush(&mut self) -> Result<(), EventProcessorError> {
            self.processed_on_flush
                .store(self.processed.load(Ordering::SeqCst), Ordering::SeqCst);
            Ok(())
        }

        fn renderer(self) -> Box<dyn MetricsRenderer> {
            Box::new(CliMetricsRenderer::new())
        }
    }

    #[test]
    fn flush_waits_for_queued_training_events() {
        let processed = Arc::new(AtomicUsize::new(0));
        let processed_on_flush = Arc::new(AtomicUsize::new(0));
        let mut processor = AsyncProcessorTraining::new(TestProcessor {
            processed: processed.clone(),
            processed_on_flush: processed_on_flush.clone(),
        });

        processor.process_train(2).unwrap();
        processor.process_valid(3).unwrap();
        processor.flush().unwrap();

        assert_eq!(processed.load(Ordering::SeqCst), 5);
        // The wrapped processor is flushed before the acknowledgement is sent back.
        assert_eq!(processed_on_flush.load(Ordering::SeqCst), 5);
    }

    /// A processor whose metric cannot read events `0` and `1`, the way metrics fail when the
    /// computation they read failed. Every other event is counted.
    struct FailingProcessor {
        processed: Arc<AtomicUsize>,
    }

    impl EventProcessorTraining<usize, usize> for FailingProcessor {
        fn process_train(&mut self, event: usize) -> Result<(), EventProcessorError> {
            if event < 2 {
                return EventProcessorError::from_errors(vec![MetricError {
                    metric: Arc::new(format!("event-{event}")),
                    split: Split::Train,
                    source: ExecutionError::device_poisoned("the loss could not be read").into(),
                }]);
            }
            self.processed.fetch_add(event, Ordering::SeqCst);
            Ok(())
        }

        fn process_valid(&mut self, _event: usize) -> Result<(), EventProcessorError> {
            Ok(())
        }

        fn renderer(self) -> Box<dyn MetricsRenderer> {
            Box::new(CliMetricsRenderer::new())
        }
    }

    #[test]
    fn every_event_error_reaches_the_caller_and_the_worker_keeps_going() {
        let processed = Arc::new(AtomicUsize::new(0));
        let mut processor = AsyncProcessorTraining::new(FailingProcessor {
            processed: processed.clone(),
        });

        // Each call returns whatever failed since the last report, so the failures are split
        // across these calls depending on how far the worker got; the flush gets the rest.
        let reports = [
            processor.process_train(0),
            processor.process_train(1),
            processor.flush(),
        ];
        let failures: Vec<MetricError> = reports
            .into_iter()
            .filter_map(Result::err)
            .flat_map(EventProcessorError::into_failures)
            .map(|failure| match failure {
                EventProcessorFailure::Metric(error) => error,
                other => panic!("expected a metric failure, got {other}"),
            })
            .collect();

        let failed: Vec<&str> = failures.iter().map(|err| err.metric.as_str()).collect();
        assert_eq!(failed, ["event-0", "event-1"], "every failure, in order");
        assert!(failures.iter().all(|err| matches!(
            &err.source,
            TensorReadError::Execution(err) if err.is_device_poisoned()
        )));

        // Each failure was reported once, and the worker still processes what comes next.
        processor.process_train(2).unwrap();
        processor.flush().unwrap();
        assert_eq!(processed.load(Ordering::SeqCst), 2);
    }

    /// An evaluation processor whose metric fails at the end of every test split.
    struct FailingEvalProcessor;

    struct NoItem;

    impl ItemLazy for NoItem {
        fn sync(self) -> Result<Self, ExecutionError> {
            Ok(self)
        }
    }

    impl EventProcessorEvaluation for FailingEvalProcessor {
        type ItemTest = NoItem;

        fn process_test(
            &mut self,
            event: EvaluatorEvent<NoItem>,
        ) -> Result<(), EventProcessorError> {
            match event {
                EvaluatorEvent::EndTest => EventProcessorError::from_errors(vec![MetricError {
                    metric: Arc::new("Accuracy".to_string()),
                    split: Split::Test(None),
                    source: ExecutionError::with_context("refused").into(),
                }]),
                _ => Ok(()),
            }
        }

        fn renderer(self) -> Box<dyn MetricsRenderer> {
            Box::new(CliMetricsRenderer::new())
        }
    }

    #[test]
    fn flush_reports_last_events_errors() {
        let mut processor = AsyncProcessorEvaluation::new(FailingEvalProcessor);

        // The last event's own call may return before the worker processed it: the flush
        // is what guarantees its error is seen before the processor is consumed.
        let reported = processor
            .process_test(EvaluatorEvent::EndTest)
            .err()
            .or_else(|| processor.flush().err())
            .expect("the last event's error must reach the caller");
        match &reported.failures()[0] {
            EventProcessorFailure::Metric(error) => assert_eq!(error.metric.as_str(), "Accuracy"),
            other => panic!("expected a metric failure, got {other}"),
        }

        processor.flush().unwrap();
    }

    /// A processor that panics, the one failure that still stops the worker.
    struct PanickingProcessor;

    impl EventProcessorTraining<usize, usize> for PanickingProcessor {
        fn process_train(&mut self, _event: usize) -> Result<(), EventProcessorError> {
            panic!("the processor panicked");
        }

        fn process_valid(&mut self, _event: usize) -> Result<(), EventProcessorError> {
            Ok(())
        }

        fn renderer(self) -> Box<dyn MetricsRenderer> {
            Box::new(CliMetricsRenderer::new())
        }
    }

    #[test]
    fn a_worker_panic_reaches_the_caller_with_its_cause() {
        let mut processor = AsyncProcessorTraining::new(PanickingProcessor);

        let payload = std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| {
            // The worker dies on the first event; the channel has room for
            // one more, so the failure is noticed by the second send or the
            // flush at the latest.
            let _ = processor.process_train(1);
            let _ = processor.process_train(2);
            let _ = processor.flush();
        }))
        .expect_err("the worker's panic must reach the caller");

        let message = payload
            .downcast_ref::<&str>()
            .map(|message| message.to_string())
            .or_else(|| payload.downcast_ref::<String>().cloned())
            .unwrap_or_default();
        assert!(
            message.contains("the processor panicked"),
            "the caller must see the worker's own panic, got: {message:?}"
        );
    }
}