Ring distributed backend for Metal
At its core, a ring-based All Reduce algorithm backend.
This enables tensor parallelism for Metal users!
Code Metrics Report
=============================================================================== Language Files Lines Code Comments Blanks =============================================================================== C Header 3 62 53 0 9 CSS 1 428 366 12 50 Dockerfile 1 39 22 9 8 HTML 1 58 46 4 8 JavaScript 7 1221 915 169 137 JSON 12 107 106 0 1 Makefile 1 6 5 0 1 Python 86 4045 3410 161 474 Shell 1 63 26 18 19 Plain Text 3 3723 0 2413 1310 TOML 20 616 558 10 48 YAML 2 21 19 2 0 ------------------------------------------------------------------------------- Jupyter Notebooks 3 0 0 0 0 |- Markdown 2 77 32 31 14 |- Python 2 205 178 1 26 (Total) 282 210 32 40 ------------------------------------------------------------------------------- Markdown 56 4936 0 3764 1172 |- BASH 9 99 96 0 3 |- JSON 1 12 12 0 0 |- Python 7 121 109 0 12 |- Rust 22 757 634 1 122 |- TOML 2 75 63 0 12 (Total) 6000 914 3765 1321 ------------------------------------------------------------------------------- Rust 367 129720 115534 2804 11382 |- Markdown 162 2232 29 1994 209 (Total) 131952 115563 4798 11591 =============================================================================== Total 564 145045 121060 9366 14619 ===============================================================================
RING_PORT=1500 RING_RIGHT=1501 RING_RANK=0 RING_WORLD_SIZE=2 cargo run --features metal,ring --release '--' -i --throughput plain -m ../hf_models/llama3.2_3b
RING_PORT=1501 RING_RIGHT=1500 RING_RANK=1 RING_WORLD_SIZE=2 cargo run --features metal,ring --release '--' -i --throughput plain -m ../hf_models/llama3.2_3b
"""
Walkthrough
A new "ring" feature flag is introduced across multiple crates, enabling a TCP socket-based ring all-reduce backend for distributed operations. Conditional logic and compilation paths are updated to support this backend as an alternative to NCCL, with changes in configuration files and core distributed operation modules to recognize and utilize the "ring" feature.
Changes
| File(s) | Change Summary |
|---|---|
| mistralrs-core/Cargo.toml mistralrs-bench/Cargo.toml mistralrs-pyo3/Cargo.toml mistralrs-server/Cargo.toml mistralrs/Cargo.toml |
Add "ring" feature flag, linking to downstream crates' "ring" features where needed. |
| mistralrs-quant/Cargo.toml | Add empty "ring" feature and tokio as a dependency. |
| mistralrs-core/src/distributed.rs | Add conditional branch in prepare_distributed_mapper for "ring" feature, initializing distributed context; add ring_daemon_replicator and update is_daemon. |
| mistralrs-core/src/pipeline/normal.rs | Expand distributed device/model loading logic to include "ring" feature in relevant conditionals. |
| mistralrs-core/src/utils/varbuilder_utils.rs | Broaden mmap loading condition to include "ring" feature. |
| mistralrs-quant/src/distributed/mod.rs | Add new ops module under "ring" feature implementing TCP ring all-reduce backend; add RingConfig struct and related methods; extend public API to expose RingConfig. |
| mistralrs-core/src/engine/mod.rs | Add TCP socket-based request replication for "ring" feature in Engine::replicate_request_to_daemons. |
| mistralrs-core/src/lib.rs | Refactor daemon mode to use ring_daemon_replicator or nccl_daemon_replicator functions instead of inline socket handling. |
| mistralrs-quant/src/lib.rs | Publicly re-export RingConfig from distributed socket module. |
| mistralrs-core/src/models/qwen3_moe.rs | Change argument to gather call to use contiguous indices tensor. |
| mistralrs-core/src/pipeline/sampling.rs | Add new stop reason ToolCalls when tool calls are detected during token streaming or completion. |
| mistralrs-core/src/sequence.rs | Add ToolCalls variant to StopReason enum and update its Display implementation; change string format for some variants. |
Sequence Diagram(s)
sequenceDiagram
participant User
participant App
participant DistributedMapper
participant RingComm
participant TCPNetwork
User->>App: Start distributed model loading (with "ring" feature)
App->>DistributedMapper: prepare_distributed_mapper()
DistributedMapper->>RingComm: Initialize ring context (Id, rank, world size)
RingComm->>TCPNetwork: Establish connections to left/right neighbors
App->>RingComm: Perform sum_all_reduce operation
RingComm->>TCPNetwork: Send/receive tensor data in ring
RingComm-->>App: Return reduced tensor
Possibly related PRs
- EricLBuehler/mistral.rs#1391: Modifies
FastMoeMlp::forwardmethod gather calls by removing.contiguous()?, directly related but with opposite change to the same code.
Poem
In circles we gather, a ring now in code,
TCP whispers secrets down distributed road.
Features unfurl in a config parade,
New pathways for tensors, connections well-laid.
With sockets and bytes, our sum travels far—
Hooray for the ring, from your code rabbit star!
🐇✨ """
✨ Finishing Touches
- [ ] 📝 Generate Docstrings
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