[package]
name = "rtx-optim-core"
version = "1.0.0"
edition.workspace = true
rust-version = "1.92"
authors = ["RustyTorch Team"]
license = "MIT OR Apache-2.0"
description = "Unified model optimization framework - compression, quantization, pruning, and merging"
repository = "https://github.com/rustytorch/rustytorch"
keywords = ["machine-learning", "model-optimization", "compression", "quantization", "merging"]
categories = ["machine-learning", "algorithms"]

[features]
default = ["compress", "merging"]
compress = ["dep:rtx-compress"]
merging = ["dep:rtx-model-merging"]
all = ["compress", "merging"]

# GPU acceleration features
cuda = ["rtx-compress?/cuda"]
metal = ["rtx-model-merging?/metal"]
gpu = ["cuda", "metal"]

[dependencies]
# Model optimization implementations (optional based on features)
rtx-compress = { path = "../rtx-compress", optional = true }
rtx-model-merging = { path = "../rtx-model-merging", optional = true }

# Core dependencies
rtx-tensor = { path = "../../core/rtx-tensor" }
rtx-runtime = { path = "../../core/rtx-runtime" }

# Error handling
anyhow = { workspace = true }
thiserror = { workspace = true }

# Serialization
serde = { workspace = true }
serde_json = { workspace = true }

# Logging
tracing = { workspace = true }

[dev-dependencies]
tokio-test = { workspace = true }
criterion = { workspace = true }

[lints]
workspace = true