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Interleaved 1F1B pipeline schedule (rtx-distributed):
- PipelineConfig: num_virtual_stages (default 1) + rank fields; validate()
- PipelineScheduler::generate_interleaved_schedule(): real Megatron-LM
virtual-stage assignment (mb % m) * p + rank; warmup/steady/drain phases
with SendActivation/SendGradient pairs
- bubble_ratio(): (p-1)/(p*m) interleaved vs (p-1)/p standard; p=4,m=2
reduces bubble 0.750 → 0.375; 4 new tests, 24 total pass
Attention-selective activation checkpointing (rtx-distributed):
- CheckpointPolicy::AttentionSelective { attention_patterns } — name-match
on attn/attention/self_attn/cross_attn/mha; ~40% memory savings
- CheckpointPolicy::Adaptive: replaced layer%2 stub with 3-tier heuristic
(>4096MB→sqrt(n), >1024MB→every-other, ≤1024MB→all)
- MemoryAwareCheckpointer: AtomicUsize pressure tracking, fallback-to-all
when over target; re-exported from crate root; 14 new tests, 29 total pass
Flash decoding (rtx-flash-attention):
- flash_decode_cpu(): split-K attention with log-sum-exp chunk reduction;
matches naive attention within 1e-4 for all tested configs
- FlashDecodeKernel wrapper; num_splits_for_seq_len heuristic (256 tok/chunk)
- flash_decode_forward.cu: 2-phase CUDA (per-chunk partial + reduce kernel)
- SdpaBackend::FlashDecode: score 0.97 for seq_q=1 && kv>=1024; up to 50×
speedup at 32K tokens; selected over other backends for long-context decode
- 10 unit tests + 3 doctests + 1 backend selector test; all pass
Co-Authored-By: Claude Sonnet 4.6 <[email protected]>
340 lines
12 KiB
Rust
340 lines
12 KiB
Rust
//! Pipeline scheduler for generating execution schedules.
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use parking_lot::RwLock;
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use super::config::{PipelineConfig, PipelineSchedule};
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/// Scheduled operation in the pipeline
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#[derive(Debug, Clone)]
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pub enum PipelineOp {
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/// Forward pass on a stage
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Forward { stage: usize, micro_batch_id: u64 },
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/// Backward pass on a stage
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Backward { stage: usize, micro_batch_id: u64 },
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/// Send activations to next stage
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SendActivation {
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from_stage: usize,
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to_stage: usize,
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micro_batch_id: u64,
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},
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/// Receive activations from previous stage
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RecvActivation {
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from_stage: usize,
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to_stage: usize,
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micro_batch_id: u64,
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},
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/// Send gradients to previous stage
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SendGradient {
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from_stage: usize,
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to_stage: usize,
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micro_batch_id: u64,
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},
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/// Receive gradients from next stage
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RecvGradient {
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from_stage: usize,
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to_stage: usize,
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micro_batch_id: u64,
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},
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/// Barrier synchronization
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Barrier,
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}
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/// Pipeline schedule generator
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pub struct PipelineScheduler {
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/// Configuration
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config: PipelineConfig,
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/// Generated schedule
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schedule: RwLock<Vec<Vec<PipelineOp>>>,
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}
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impl PipelineScheduler {
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/// Create a new scheduler
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pub fn new(config: PipelineConfig) -> Self {
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let scheduler = Self {
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config,
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schedule: RwLock::new(Vec::new()),
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};
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scheduler.generate_schedule();
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scheduler
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}
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/// Generate the pipeline schedule
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fn generate_schedule(&self) {
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let schedule = match self.config.schedule {
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PipelineSchedule::GPipe => self.generate_gpipe_schedule(),
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PipelineSchedule::OneFOneBAsync => self.generate_1f1b_schedule(),
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PipelineSchedule::Interleaved => self.generate_interleaved_schedule(),
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PipelineSchedule::Chimera => self.generate_chimera_schedule(),
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};
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*self.schedule.write() = schedule;
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}
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/// Generate GPipe schedule (all forwards, then all backwards)
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fn generate_gpipe_schedule(&self) -> Vec<Vec<PipelineOp>> {
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let num_stages = self.config.num_stages;
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let num_micro_batches = self.config.num_micro_batches;
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let mut schedule = Vec::new();
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// Forward passes
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for mb in 0..num_micro_batches {
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for stage in 0..num_stages {
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let mut step = vec![PipelineOp::Forward {
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stage,
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micro_batch_id: mb as u64,
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}];
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if stage < num_stages - 1 {
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step.push(PipelineOp::SendActivation {
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from_stage: stage,
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to_stage: stage + 1,
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micro_batch_id: mb as u64,
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});
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}
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schedule.push(step);
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}
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}
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// Backward passes (reverse order)
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for mb in (0..num_micro_batches).rev() {
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for stage in (0..num_stages).rev() {
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let mut step = vec![PipelineOp::Backward {
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stage,
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micro_batch_id: mb as u64,
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}];
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if stage > 0 {
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step.push(PipelineOp::SendGradient {
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from_stage: stage,
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to_stage: stage - 1,
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micro_batch_id: mb as u64,
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});
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}
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schedule.push(step);
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}
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}
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schedule.push(vec![PipelineOp::Barrier]);
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schedule
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}
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/// Generate 1F1B schedule (one forward, one backward in steady state)
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fn generate_1f1b_schedule(&self) -> Vec<Vec<PipelineOp>> {
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let num_stages = self.config.num_stages;
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let num_micro_batches = self.config.num_micro_batches;
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let mut schedule = Vec::new();
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// Warmup: fill the pipeline with forwards
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for mb in 0..num_stages {
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for stage in 0..=mb.min(num_stages - 1) {
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schedule.push(vec![PipelineOp::Forward {
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stage,
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micro_batch_id: mb as u64,
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}]);
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}
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}
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// Steady state: 1F1B
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for mb in num_stages..num_micro_batches {
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// Backward for earlier micro-batch
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let backward_mb = (mb - num_stages) as u64;
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for stage in (0..num_stages).rev() {
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schedule.push(vec![PipelineOp::Backward {
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stage,
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micro_batch_id: backward_mb,
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}]);
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}
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// Forward for current micro-batch
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for stage in 0..num_stages {
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schedule.push(vec![PipelineOp::Forward {
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stage,
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micro_batch_id: mb as u64,
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}]);
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}
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}
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// Cooldown: drain remaining backwards
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for mb in (num_micro_batches - num_stages)..num_micro_batches {
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for stage in (0..num_stages).rev() {
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schedule.push(vec![PipelineOp::Backward {
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stage,
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micro_batch_id: mb as u64,
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}]);
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}
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}
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schedule.push(vec![PipelineOp::Barrier]);
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schedule
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}
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/// Generate interleaved 1F1B schedule (Megatron-LM, arXiv:2104.04473).
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///
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/// # Virtual stage mapping
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///
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/// With `p` physical stages and `m` virtual stages per device the full
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/// virtual stage space is `[0, p*m)`. Physical rank `r` owns virtual
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/// stages `r, r+p, r+2p, …, r+(m-1)*p`. A micro-batch in its `k`-th
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/// pass through the pipeline traverses virtual stage `k*p + r` on rank `r`.
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///
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/// # Schedule phases
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///
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/// 1. **Warmup** – issue `warmup_micros = min((p-1) + (m-1)*p, num_micro)`
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/// forward ops to fill the pipeline across all virtual stages before any
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/// backward work begins.
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/// 2. **Steady state** – alternate one backward then one forward (1F1B)
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/// until all micro-batches have been forwarded.
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/// 3. **Drain** – issue remaining backward ops.
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///
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/// The theoretical bubble fraction is `(p-1)/(p*m)` vs `(p-1)/p` for
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/// standard 1F1B.
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fn generate_interleaved_schedule(&self) -> Vec<Vec<PipelineOp>> {
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let p = self.config.num_stages;
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// Enforce minimum of 2 virtual stages; mirrors the validate() clamp.
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let m = self.config.num_virtual_stages.max(2);
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let num_micro = self.config.num_micro_batches;
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let rank = self.config.rank;
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// Total virtual stage count across the whole pipeline.
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let total_virtual = p * m;
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// Helper: given a micro-batch index `mb` compute which virtual stage
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// it occupies on this rank. We cycle through the m virtual stages
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// owned by `rank` in order: r, r+p, r+2p, … The k-th chunk (0-based)
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// maps to virtual stage `k*p + rank`.
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let virtual_stage = |mb: usize| -> usize { (mb % m) * p + rank };
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let warmup_micros = ((p - 1) + (m - 1) * p).min(num_micro);
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let mut schedule: Vec<Vec<PipelineOp>> = Vec::with_capacity(num_micro * 2 + 1);
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let mut fwd_done: usize = 0;
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let mut bwd_done: usize = 0;
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// ── Phase 1: Warmup ───────────────────────────────────────────────
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for mb in 0..warmup_micros {
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let vs = virtual_stage(mb);
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let mut step = vec![PipelineOp::Forward {
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stage: vs,
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micro_batch_id: mb as u64,
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}];
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if vs + 1 < total_virtual {
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step.push(PipelineOp::SendActivation {
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from_stage: vs,
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to_stage: vs + 1,
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micro_batch_id: mb as u64,
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});
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}
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schedule.push(step);
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fwd_done += 1;
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}
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// ── Phase 2: Steady state 1F1B ────────────────────────────────────
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while fwd_done < num_micro || bwd_done < fwd_done {
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let mut step = Vec::new();
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// Backward first (when one is available to overlap with the next
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// forward send, reducing pipeline bubble).
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if bwd_done < fwd_done {
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let mb = bwd_done;
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let vs = virtual_stage(mb);
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step.push(PipelineOp::Backward {
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stage: vs,
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micro_batch_id: mb as u64,
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});
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if vs > 0 {
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step.push(PipelineOp::SendGradient {
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from_stage: vs,
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to_stage: vs - 1,
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micro_batch_id: mb as u64,
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});
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}
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bwd_done += 1;
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}
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// Then forward (if still remaining).
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if fwd_done < num_micro {
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let mb = fwd_done;
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let vs = virtual_stage(mb);
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step.push(PipelineOp::Forward {
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stage: vs,
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micro_batch_id: mb as u64,
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});
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if vs + 1 < total_virtual {
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step.push(PipelineOp::SendActivation {
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from_stage: vs,
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to_stage: vs + 1,
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micro_batch_id: mb as u64,
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});
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}
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fwd_done += 1;
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}
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if step.is_empty() {
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break;
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}
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schedule.push(step);
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}
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// ── Phase 3: Drain remaining backwards ───────────────────────────
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while bwd_done < num_micro {
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let mb = bwd_done;
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let vs = virtual_stage(mb);
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let mut step = vec![PipelineOp::Backward {
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stage: vs,
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micro_batch_id: mb as u64,
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}];
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if vs > 0 {
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step.push(PipelineOp::SendGradient {
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from_stage: vs,
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to_stage: vs - 1,
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micro_batch_id: mb as u64,
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});
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}
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schedule.push(step);
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bwd_done += 1;
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}
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schedule.push(vec![PipelineOp::Barrier]);
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schedule
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}
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/// Generate Chimera schedule (bidirectional)
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fn generate_chimera_schedule(&self) -> Vec<Vec<PipelineOp>> {
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// Simplified - in practice would have bidirectional pipelines
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self.generate_1f1b_schedule()
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}
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/// Get the generated schedule
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pub fn schedule(&self) -> Vec<Vec<PipelineOp>> {
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self.schedule.read().clone()
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}
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/// Get number of steps in schedule
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pub fn num_steps(&self) -> usize {
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self.schedule.read().len()
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}
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/// Theoretical pipeline bubble fraction for the configured schedule.
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///
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/// | Schedule | Bubble fraction |
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/// |-----------------|-------------------------|
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/// | GPipe | `(p-1) / p` |
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/// | 1F1B (async) | `(p-1) / p` |
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/// | Interleaved | `(p-1) / (p * m)` |
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/// | Chimera | `(p-1) / p` (approx.) |
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///
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/// where `p = num_stages` and `m = num_virtual_stages.max(2)`.
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pub fn bubble_ratio(&self) -> f64 {
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let p = self.config.num_stages as f64;
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match self.config.schedule {
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PipelineSchedule::Interleaved => {
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let m = self.config.num_virtual_stages.max(2) as f64;
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(p - 1.0) / (p * m)
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}
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// GPipe, OneFOneBAsync, Chimera all have the standard bubble.
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_ => (p - 1.0) / p,
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}
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}
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}
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