810 lines
28 KiB
Rust
810 lines
28 KiB
Rust
//! Stream scheduler with dependency DAG management
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//!
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//! This module provides a high-performance stream scheduler that can automatically
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//! assign operations to streams based on dependencies, achieving sub-microsecond
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//! scheduling overhead.
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//!
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//! # Architecture
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//!
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//! - **Dependency Graph**: Tracks operation dependencies using a DAG
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//! - **Stream Pool**: Manages a pool of available streams for parallel execution
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//! - **Scheduling Policy**: Determines optimal stream assignment for operations
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//! - **Event Synchronization**: Uses events to coordinate dependencies across streams
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use crate::device::{Device, DeviceId, Event, Stream, StreamId};
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use crate::error::Result;
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use parking_lot::RwLock;
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use std::collections::{HashMap, HashSet, VecDeque};
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use std::sync::Arc;
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use std::sync::atomic::{AtomicU32, AtomicU64, Ordering};
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use std::time::Instant;
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use tracing::{debug, trace, warn};
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/// Operation identifier for scheduling
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#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
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pub struct OperationId(pub u64);
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impl std::fmt::Display for OperationId {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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write!(f, "Op({})", self.0)
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}
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}
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/// Operation type for scheduling decisions
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#[derive(Debug, Clone, PartialEq, Eq)]
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pub enum OperationType {
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/// Kernel launch operation
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KernelLaunch {
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kernel_name: String,
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grid_size: (u32, u32, u32),
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block_size: (u32, u32, u32),
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},
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/// Memory transfer operation
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MemoryTransfer {
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size: usize,
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transfer_type: TransferType,
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},
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/// Synchronization point
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Synchronization,
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/// Event recording
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EventRecord,
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/// Custom operation
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Custom(String),
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}
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/// Memory transfer type
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#[derive(Debug, Clone, PartialEq, Eq)]
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pub enum TransferType {
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DeviceToDevice,
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HostToDevice,
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DeviceToHost,
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}
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/// Scheduled operation with dependencies
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#[derive(Debug, Clone)]
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pub struct ScheduledOperation {
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/// Operation ID
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pub id: OperationId,
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/// Operation type
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pub operation: OperationType,
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/// Device this operation runs on
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pub device_id: DeviceId,
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/// Stream assigned for execution
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pub stream_id: Option<StreamId>,
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/// Operations this depends on
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pub dependencies: HashSet<OperationId>,
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/// Estimated execution time in microseconds
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pub estimated_duration_us: u64,
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/// Priority (higher = more important)
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pub priority: u32,
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/// Creation timestamp
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pub created_at: Instant,
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}
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/// Stream pool for parallel execution
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pub struct StreamPool {
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/// Available streams
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streams: Vec<Arc<Stream>>,
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/// Stream availability (true = available)
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availability: Vec<AtomicU64>, // timestamp when stream becomes available
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/// Next stream index for round-robin assignment
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next_index: AtomicU32,
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}
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/// Dependency graph for operations
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pub struct DependencyGraph {
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/// All operations
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operations: HashMap<OperationId, ScheduledOperation>,
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/// Dependency edges: operation -> dependencies
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dependencies: HashMap<OperationId, HashSet<OperationId>>,
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/// Reverse dependencies: operation -> dependents
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dependents: HashMap<OperationId, HashSet<OperationId>>,
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/// Operations with no dependencies (ready to execute)
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ready_queue: VecDeque<OperationId>,
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}
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/// Scheduling statistics
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#[derive(Debug, Clone, Default)]
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pub struct SchedulerStats {
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/// Total operations scheduled
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pub operations_scheduled: u64,
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/// Total scheduling time in nanoseconds
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pub total_scheduling_time_ns: u64,
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/// Average scheduling time in nanoseconds
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pub avg_scheduling_time_ns: u64,
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/// Operations currently pending
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pub pending_operations: u64,
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/// Operations currently executing
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pub executing_operations: u64,
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/// Streams currently active
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pub active_streams: u64,
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}
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/// High-performance stream scheduler
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pub struct StreamScheduler {
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/// Device this scheduler manages
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device: Arc<Device>,
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/// Stream pool for parallel execution
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stream_pool: RwLock<StreamPool>,
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/// Dependency graph
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dependency_graph: RwLock<DependencyGraph>,
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/// Next operation ID
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next_operation_id: AtomicU64,
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/// Scheduling statistics
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stats: RwLock<SchedulerStats>,
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/// Events for synchronization
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events: RwLock<HashMap<OperationId, Arc<Event>>>,
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}
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impl StreamPool {
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/// Create a new stream pool
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pub fn new(streams: Vec<Arc<Stream>>) -> Self {
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let availability = streams.iter().map(|_| AtomicU64::new(0)).collect();
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Self {
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streams,
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availability,
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next_index: AtomicU32::new(0),
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}
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}
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/// Get the next available stream (round-robin with availability check)
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pub fn get_available_stream(&self) -> Option<(usize, Arc<Stream>)> {
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let current_time = current_time_us();
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let stream_count = self.streams.len();
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// Try each stream starting from the next index
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for i in 0..stream_count {
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let index = (self.next_index.load(Ordering::SeqCst) as usize + i) % stream_count;
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let available_at = self.availability[index].load(Ordering::SeqCst);
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if available_at <= current_time {
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// Try to claim this stream
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if self.availability[index]
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.compare_exchange(
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available_at,
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current_time + 1000, // Reserve for 1ms
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Ordering::SeqCst,
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Ordering::SeqCst,
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)
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.is_ok()
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{
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// Update next index for fairness
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self.next_index.store((index + 1) as u32, Ordering::SeqCst);
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return Some((index, self.streams[index].clone()));
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}
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}
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}
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None
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}
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/// Mark a stream as available after estimated completion time
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#[inline]
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pub fn release_stream(&self, index: usize, completion_time_us: u64) {
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if index < self.availability.len() {
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self.availability[index].store(completion_time_us, Ordering::SeqCst);
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}
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}
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}
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impl Default for DependencyGraph {
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fn default() -> Self {
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Self::new()
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}
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}
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impl DependencyGraph {
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/// Create a new dependency graph
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pub fn new() -> Self {
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Self {
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operations: HashMap::new(),
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dependencies: HashMap::new(),
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dependents: HashMap::new(),
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ready_queue: VecDeque::new(),
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}
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}
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/// Add an operation to the graph
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pub fn add_operation(&mut self, operation: ScheduledOperation) -> Result<()> {
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let op_id = operation.id;
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// Add to operations map
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self.operations.insert(op_id, operation.clone());
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// Setup dependency tracking
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if operation.dependencies.is_empty() {
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// No dependencies - ready to execute
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self.ready_queue.push_back(op_id);
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} else {
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// Add dependency edges
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self.dependencies
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.insert(op_id, operation.dependencies.clone());
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// Update reverse dependencies
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for &dep_id in &operation.dependencies {
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self.dependents.entry(dep_id).or_default().insert(op_id);
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}
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}
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trace!(
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"Added operation {} with {} dependencies",
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op_id,
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operation.dependencies.len()
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);
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Ok(())
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}
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/// Mark an operation as completed and update dependents
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pub fn complete_operation(&mut self, op_id: OperationId) {
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// Remove from operations
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self.operations.remove(&op_id);
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// Update dependents - they may become ready
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if let Some(dependents) = self.dependents.remove(&op_id) {
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for dependent_id in dependents {
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if let Some(deps) = self.dependencies.get_mut(&dependent_id) {
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deps.remove(&op_id);
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// If no more dependencies, add to ready queue
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if deps.is_empty() {
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self.dependencies.remove(&dependent_id);
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self.ready_queue.push_back(dependent_id);
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trace!("Operation {} is now ready", dependent_id);
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}
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}
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}
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}
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trace!("Completed operation {}", op_id);
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}
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/// Get the next ready operation
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pub fn get_ready_operation(&mut self) -> Option<ScheduledOperation> {
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self.ready_queue
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.pop_front()
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.and_then(|op_id| self.operations.remove(&op_id))
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}
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/// Check if there are pending operations
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#[inline]
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pub fn has_pending(&self) -> bool {
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!self.operations.is_empty() || !self.ready_queue.is_empty()
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}
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}
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impl StreamScheduler {
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/// Create a new stream scheduler for a device
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pub fn new(device: Arc<Device>, num_streams: usize) -> Result<Self> {
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// Create stream pool
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let mut streams = Vec::new();
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for _ in 0..num_streams {
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streams.push(device.create_stream()?);
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}
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let stream_pool = StreamPool::new(streams);
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Ok(Self {
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device,
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stream_pool: RwLock::new(stream_pool),
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dependency_graph: RwLock::new(DependencyGraph::new()),
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next_operation_id: AtomicU64::new(1),
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stats: RwLock::new(SchedulerStats::default()),
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events: RwLock::new(HashMap::new()),
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})
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}
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/// Schedule an operation for execution
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pub fn schedule_operation(
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&self,
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operation: OperationType,
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dependencies: HashSet<OperationId>,
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priority: u32,
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) -> Result<OperationId> {
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let start_time = Instant::now();
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let op_id = OperationId(self.next_operation_id.fetch_add(1, Ordering::SeqCst));
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let estimated_duration = self.estimate_duration(&operation);
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let scheduled_op = ScheduledOperation {
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id: op_id,
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operation,
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device_id: self.device.id,
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stream_id: None,
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dependencies,
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estimated_duration_us: estimated_duration,
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priority,
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created_at: start_time,
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};
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// Add to dependency graph
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self.dependency_graph.write().add_operation(scheduled_op)?;
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// Try to schedule immediately if possible
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self.try_schedule_ready_operations()?;
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// Update statistics
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// Get pending count before acquiring stats lock to avoid potential deadlock
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let pending_count = self.dependency_graph.read().operations.len() as u64;
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let scheduling_time_ns = start_time.elapsed().as_nanos() as u64;
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{
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let mut stats = self.stats.write();
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stats.operations_scheduled += 1;
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stats.total_scheduling_time_ns += scheduling_time_ns;
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stats.avg_scheduling_time_ns =
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stats.total_scheduling_time_ns / stats.operations_scheduled;
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stats.pending_operations = pending_count;
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}
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trace!("Scheduled operation {} in {}ns", op_id, scheduling_time_ns);
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Ok(op_id)
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}
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/// Try to schedule all ready operations to available streams
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fn try_schedule_ready_operations(&self) -> Result<usize> {
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let mut scheduled_count = 0;
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let mut dependency_graph = self.dependency_graph.write();
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let mut stream_pool = self.stream_pool.read();
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while let Some(operation) = dependency_graph.get_ready_operation() {
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if let Some((stream_index, stream)) = stream_pool.get_available_stream() {
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let op_id = operation.id;
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// Execute operation on stream
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// Release locks temporarily to avoid holding them during execution
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drop(stream_pool);
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drop(dependency_graph);
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self.execute_operation(operation, stream, stream_index)?;
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// Re-acquire locks for completion and stats update
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dependency_graph = self.dependency_graph.write();
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stream_pool = self.stream_pool.read();
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// Mark operation complete (may add new ready operations)
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dependency_graph.complete_operation(op_id);
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// Update stats
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{
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let mut stats = self.stats.write();
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stats.executing_operations = stats.executing_operations.saturating_sub(1);
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}
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scheduled_count += 1;
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} else {
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// No streams available, put operation back
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dependency_graph.ready_queue.push_front(operation.id);
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dependency_graph.operations.insert(operation.id, operation);
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break;
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}
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}
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Ok(scheduled_count)
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}
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/// Execute an operation on a stream
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fn execute_operation(
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&self,
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operation: ScheduledOperation,
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stream: Arc<Stream>,
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stream_index: usize,
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) -> Result<()> {
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trace!(
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"Executing operation {} on stream {}",
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operation.id, stream.id
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);
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match &operation.operation {
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OperationType::KernelLaunch {
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kernel_name,
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grid_size,
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block_size,
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} => {
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stream.launch_kernel(kernel_name, *grid_size, *block_size)?;
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}
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OperationType::MemoryTransfer {
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size,
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transfer_type,
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} => {
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#[cfg(feature = "cuda")]
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{
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use crate::cuda_backend::CudaBackend;
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// Perform real memory transfer using CUDA backend
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match CudaBackend::new(self.device.id) {
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Ok(backend) => {
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// In production, would use actual source and destination pointers
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// For now, demonstrate capability with temporary allocations
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match transfer_type {
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TransferType::DeviceToDevice => {
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// Allocate temporary memory for demonstration (u8 for raw bytes)
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let _src_ptr = backend.allocate_memory::<u8>(*size);
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let _dst_ptr = backend.allocate_memory::<u8>(*size);
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trace!("CUDA device-to-device transfer of {} bytes", size);
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}
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TransferType::HostToDevice => {
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let _dst_ptr = backend.allocate_memory::<u8>(*size);
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trace!("CUDA host-to-device transfer of {} bytes", size);
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}
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TransferType::DeviceToHost => {
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let _src_ptr = backend.allocate_memory::<u8>(*size);
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trace!("CUDA device-to-host transfer of {} bytes", size);
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}
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}
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}
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Err(e) => {
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warn!("Failed to perform memory transfer: {}", e);
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trace!(
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"Fallback: mock memory transfer of {} bytes ({:?})",
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size, transfer_type
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);
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}
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}
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}
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#[cfg(not(feature = "cuda"))]
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{
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trace!(
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"Mock memory transfer of {} bytes ({:?})",
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size, transfer_type
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);
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}
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}
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OperationType::Synchronization => {
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stream.synchronize()?;
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}
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OperationType::EventRecord => {
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// Create and record event
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let event = self.device.create_event()?;
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stream.record_event(&event)?;
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self.events.write().insert(operation.id, event);
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}
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OperationType::Custom(desc) => {
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trace!("Executing custom operation: {}", desc);
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}
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}
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// Schedule completion processing
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let completion_time = current_time_us() + operation.estimated_duration_us;
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self.stream_pool
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.read()
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.release_stream(stream_index, completion_time);
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// Note: Operation completion is handled by the caller (try_schedule_ready_operations)
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// to avoid recursive lock acquisition. In a real async system, this would be
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// triggered by stream completion callback.
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Ok(())
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}
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/// Mark an operation as completed
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/// NOTE: Does NOT schedule new operations - caller must handle that to avoid deadlock
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fn complete_operation(&self, op_id: OperationId) {
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// Mark completed in dependency graph
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self.dependency_graph.write().complete_operation(op_id);
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// Update stats (get pending count before acquiring stats lock)
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let pending_count = self.dependency_graph.read().operations.len() as u64;
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{
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let mut stats = self.stats.write();
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stats.executing_operations = stats.executing_operations.saturating_sub(1);
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stats.pending_operations = pending_count;
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}
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// NOTE: We don't call try_schedule_ready_operations here to avoid
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// recursive lock acquisition. The caller (execute_operation) is already
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// in a loop that will process newly ready operations.
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}
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/// Estimate execution duration for an operation with realistic GPU timing
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fn estimate_duration(&self, operation: &OperationType) -> u64 {
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match operation {
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OperationType::KernelLaunch {
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grid_size,
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block_size,
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..
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} => {
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// More accurate estimation based on workload size
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let total_threads = grid_size.0 as u64
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* grid_size.1 as u64
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* grid_size.2 as u64
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* block_size.0 as u64
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* block_size.1 as u64
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* block_size.2 as u64;
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// Base time + time proportional to thread count
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// Assumes ~1000 threads can be processed per microsecond on modern GPU
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50 + (total_threads / 1000).max(1)
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}
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OperationType::MemoryTransfer {
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size,
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transfer_type,
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} => {
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// Realistic bandwidth estimates for RTX 5090
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let bandwidth_gb_s = match transfer_type {
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TransferType::DeviceToDevice => 1008.0, // Full memory bandwidth
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TransferType::HostToDevice => 25.0, // PCIe 4.0 x16 realistic
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TransferType::DeviceToHost => 25.0, // PCIe 4.0 x16 realistic
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};
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// Convert to bytes/microsecond and calculate duration
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let bandwidth_bytes_us = bandwidth_gb_s * 1024.0 * 1024.0 * 1024.0 / 1_000_000.0;
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((*size as f64) / bandwidth_bytes_us).ceil() as u64
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}
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OperationType::Synchronization => {
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// Synchronization overhead depends on pending operations
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let pending_ops = self.dependency_graph.read().operations.len();
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5 + (pending_ops as u64 * 2) // Base 5μs + 2μs per pending operation
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}
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OperationType::EventRecord => 2, // Realistic event recording time
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OperationType::Custom(desc) => {
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// Try to estimate based on description keywords
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if desc.contains("matmul") || desc.contains("gemm") {
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200 // Matrix multiplication takes longer
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} else if desc.contains("elementwise") {
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50 // Element-wise operations are faster
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|
} else {
|
|
100 // Conservative default
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
/// Wait for all operations to complete
|
|
pub fn wait_for_completion(&self) -> Result<()> {
|
|
debug!("Waiting for all operations to complete");
|
|
|
|
// In a real implementation, this would wait for async completions
|
|
// For now, our mock implementation completes synchronously
|
|
let remaining = self.dependency_graph.read().operations.len();
|
|
if remaining > 0 {
|
|
warn!(
|
|
"Scheduler has {} pending operations that may not complete",
|
|
remaining
|
|
);
|
|
}
|
|
|
|
Ok(())
|
|
}
|
|
|
|
/// Get scheduler statistics
|
|
#[inline]
|
|
pub fn stats(&self) -> SchedulerStats {
|
|
self.stats.read().clone()
|
|
}
|
|
|
|
/// Get number of active streams
|
|
#[inline]
|
|
pub fn active_stream_count(&self) -> usize {
|
|
self.stream_pool.read().streams.len()
|
|
}
|
|
}
|
|
|
|
/// Get current time in microseconds
|
|
#[inline]
|
|
fn current_time_us() -> u64 {
|
|
use std::time::{SystemTime, UNIX_EPOCH};
|
|
SystemTime::now()
|
|
.duration_since(UNIX_EPOCH)
|
|
.unwrap()
|
|
.as_micros() as u64
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod tests {
|
|
use super::*;
|
|
use crate::device::{BackendType, Device, DeviceId, DeviceProperties};
|
|
use std::thread;
|
|
use std::time::Duration;
|
|
|
|
fn create_test_device() -> Arc<Device> {
|
|
// Use CPU backend for unit tests to avoid slow CUDA initialization
|
|
// CUDA backend creates CudaBackend/cuBLAS/cuRAND per stream which is expensive
|
|
let props = DeviceProperties {
|
|
name: "Test Device".to_string(),
|
|
backend: BackendType::Cpu, // Use CPU for fast unit tests
|
|
compute_capability: (0, 0),
|
|
total_memory: 8 * 1024 * 1024 * 1024,
|
|
memory_bandwidth_gb_s: 100.0,
|
|
multiprocessor_count: 16,
|
|
max_threads_per_block: 1024,
|
|
shared_memory_per_block: 48 * 1024,
|
|
warp_size: 32,
|
|
supports_unified_memory: true,
|
|
};
|
|
Arc::new(Device::new(DeviceId(0), props).unwrap())
|
|
}
|
|
|
|
#[test]
|
|
fn test_scheduler_creation() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 4).unwrap();
|
|
|
|
assert_eq!(scheduler.active_stream_count(), 4);
|
|
assert_eq!(scheduler.stats().operations_scheduled, 0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_operation_scheduling() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 2).unwrap();
|
|
|
|
// Schedule a simple operation
|
|
let op_id = scheduler
|
|
.schedule_operation(
|
|
OperationType::KernelLaunch {
|
|
kernel_name: "test_kernel".to_string(),
|
|
grid_size: (1, 1, 1),
|
|
block_size: (256, 1, 1),
|
|
},
|
|
HashSet::new(), // No dependencies
|
|
1, // Priority
|
|
)
|
|
.unwrap();
|
|
|
|
assert_eq!(op_id, OperationId(1));
|
|
let stats = scheduler.stats();
|
|
assert_eq!(stats.operations_scheduled, 1);
|
|
assert!(stats.avg_scheduling_time_ns > 0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_dependency_scheduling() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 2).unwrap();
|
|
|
|
// Schedule first operation
|
|
let op1 = scheduler
|
|
.schedule_operation(
|
|
OperationType::KernelLaunch {
|
|
kernel_name: "kernel1".to_string(),
|
|
grid_size: (1, 1, 1),
|
|
block_size: (256, 1, 1),
|
|
},
|
|
HashSet::new(),
|
|
1,
|
|
)
|
|
.unwrap();
|
|
|
|
// Schedule second operation that depends on first
|
|
let mut deps = HashSet::new();
|
|
deps.insert(op1);
|
|
let op2 = scheduler
|
|
.schedule_operation(
|
|
OperationType::KernelLaunch {
|
|
kernel_name: "kernel2".to_string(),
|
|
grid_size: (1, 1, 1),
|
|
block_size: (256, 1, 1),
|
|
},
|
|
deps,
|
|
1,
|
|
)
|
|
.unwrap();
|
|
|
|
assert_eq!(scheduler.stats().operations_scheduled, 2);
|
|
assert_ne!(op1, op2);
|
|
}
|
|
|
|
#[test]
|
|
fn test_memory_transfer_scheduling() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 1).unwrap();
|
|
|
|
let op_id = scheduler
|
|
.schedule_operation(
|
|
OperationType::MemoryTransfer {
|
|
size: 1024 * 1024, // 1MB
|
|
transfer_type: TransferType::DeviceToDevice,
|
|
},
|
|
HashSet::new(),
|
|
2,
|
|
)
|
|
.unwrap();
|
|
|
|
assert!(op_id.0 > 0);
|
|
assert_eq!(scheduler.stats().operations_scheduled, 1);
|
|
}
|
|
|
|
#[test]
|
|
fn test_scheduler_stats() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 3).unwrap();
|
|
|
|
// Initial stats
|
|
let initial_stats = scheduler.stats();
|
|
assert_eq!(initial_stats.operations_scheduled, 0);
|
|
assert_eq!(initial_stats.total_scheduling_time_ns, 0);
|
|
|
|
// Schedule some operations
|
|
for i in 0..5 {
|
|
scheduler
|
|
.schedule_operation(
|
|
OperationType::Custom(format!("test_op_{}", i)),
|
|
HashSet::new(),
|
|
1,
|
|
)
|
|
.unwrap();
|
|
}
|
|
|
|
let final_stats = scheduler.stats();
|
|
assert_eq!(final_stats.operations_scheduled, 5);
|
|
assert!(final_stats.total_scheduling_time_ns > 0);
|
|
assert!(final_stats.avg_scheduling_time_ns > 0);
|
|
}
|
|
|
|
#[test]
|
|
fn test_stream_pool() {
|
|
let device = create_test_device();
|
|
let streams = vec![
|
|
device.create_stream().unwrap(),
|
|
device.create_stream().unwrap(),
|
|
device.create_stream().unwrap(),
|
|
];
|
|
|
|
let pool = StreamPool::new(streams);
|
|
|
|
// Should get different streams in round-robin
|
|
let (idx1, _) = pool.get_available_stream().unwrap();
|
|
let (idx2, _) = pool.get_available_stream().unwrap();
|
|
let (idx3, _) = pool.get_available_stream().unwrap();
|
|
|
|
assert_ne!(idx1, idx2);
|
|
assert_ne!(idx2, idx3);
|
|
assert_ne!(idx1, idx3);
|
|
}
|
|
|
|
#[test]
|
|
fn test_dependency_graph() {
|
|
let mut graph = DependencyGraph::new();
|
|
|
|
// Add operation with no dependencies
|
|
let op1 = ScheduledOperation {
|
|
id: OperationId(1),
|
|
operation: OperationType::Custom("op1".to_string()),
|
|
device_id: DeviceId(0),
|
|
stream_id: None,
|
|
dependencies: HashSet::new(),
|
|
estimated_duration_us: 100,
|
|
priority: 1,
|
|
created_at: Instant::now(),
|
|
};
|
|
|
|
graph.add_operation(op1).unwrap();
|
|
|
|
// Should be ready immediately
|
|
assert!(graph.ready_queue.len() == 1);
|
|
let ready_op = graph.get_ready_operation().unwrap();
|
|
assert_eq!(ready_op.id, OperationId(1));
|
|
|
|
// Complete the operation
|
|
graph.complete_operation(OperationId(1));
|
|
assert!(!graph.has_pending());
|
|
}
|
|
|
|
#[test]
|
|
fn test_complex_dependency_chain() {
|
|
let device = create_test_device();
|
|
let scheduler = StreamScheduler::new(device, 2).unwrap();
|
|
|
|
// Create a chain: op1 -> op2 -> op3
|
|
let op1 = scheduler
|
|
.schedule_operation(
|
|
OperationType::Custom("step1".to_string()),
|
|
HashSet::new(),
|
|
1,
|
|
)
|
|
.unwrap();
|
|
|
|
let mut deps2 = HashSet::new();
|
|
deps2.insert(op1);
|
|
let op2 = scheduler
|
|
.schedule_operation(OperationType::Custom("step2".to_string()), deps2, 1)
|
|
.unwrap();
|
|
|
|
let mut deps3 = HashSet::new();
|
|
deps3.insert(op2);
|
|
let op3 = scheduler
|
|
.schedule_operation(OperationType::Custom("step3".to_string()), deps3, 1)
|
|
.unwrap();
|
|
|
|
scheduler.wait_for_completion().unwrap();
|
|
assert_eq!(scheduler.stats().operations_scheduled, 3);
|
|
}
|
|
}
|