rlx-distributed 0.2.11

Multi-node distributed inference (pipeline / tensor parallel) for RLX models
Documentation
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[package]
edition = "2024"
rust-version = "1.87"
name = "rlx-distributed"
version = "0.2.11"
authors = [
    "Eugene Hauptmann",
    "Nataliya Kosmyna",
]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
description = "Multi-node distributed inference (pipeline / tensor parallel) for RLX models"
readme = "README.md"
keywords = [
    "ml",
    "tensor",
    "compiler",
    "neural-network",
]
categories = [
    "science",
    "algorithms",
]
license = "GPL-3.0-only"
repository = "https://github.com/MIT-RLX/rlx-models"
resolver = "2"

[lib]
name = "rlx_distributed"
path = "src/lib.rs"

[[example]]
name = "transport_bench"
path = "examples/transport_bench.rs"

[dependencies.anyhow]
version = "1"

[dependencies.rlx-driver]
version = "=0.2.11"

[dependencies.serde]
version = "1"
features = ["derive"]

[dependencies.serde_json]
version = "1"

[lints.clippy]
large_enum_variant = "allow"
manual_range_contains = "allow"
needless_range_loop = "allow"
too_many_arguments = "allow"
type_complexity = "allow"
upper_case_acronyms = "allow"

[lints.clippy.all]
level = "warn"
priority = -1

[lints.rust.unused]
level = "warn"
priority = 0