RuVector/examples/google-cloud/Cargo.toml at main · ruvnet/RuVector · GitHub

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[package]
name = "ruvector-cloudrun-gpu"
version = "0.1.0"
edition = "2021"
description = "RuVector Cloud Run GPU benchmarks with self-learning models"
license = "MIT"

[[bin]]
name = "gpu-benchmark"
path = "src/main.rs"

[dependencies]
# RuVector core crates
ruvector-core = { path = "../../crates/ruvector-core", default-features = false }
ruvector-gnn = { path = "../../crates/ruvector-gnn" }
ruvector-attention = { path = "../../crates/ruvector-attention" }
ruvector-graph = { path = "../../crates/ruvector-graph", default-features = false, features = ["wasm"] }

# Async runtime
tokio = { version = "1.41", features = ["full"] }

# CLI and output
clap = { version = "4.5", features = ["derive"] }
indicatif = "0.17"
console = "0.15"

# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

# HTTP server for Cloud Run
axum = "0.7"
tower = "0.4"
tower-http = { version = "0.5", features = ["cors", "trace"] }

# Metrics and timing
hdrhistogram = "7.5"
sysinfo = "0.31"
chrono = "0.4"

# Math and data
rand = "0.8"
rand_distr = "0.4"
rayon = "1.10"

# Error handling
anyhow = "1.0"
thiserror = "2.0"

# Tracing
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }

[features]
default = []

[profile.release]
opt-level = 3
lto = "thin"
codegen-units = 4