[package]
name = "rtx"
version = "1.0.0"
edition.workspace = true
rust-version = "1.92"
authors = ["RustyTorch Team"]
license = "MIT OR Apache-2.0"
repository = "https://github.com/rustytorch/rustytorch"
documentation = "https://docs.rs/rtx"
readme = "README.md"
description = "Complete RTX ML/AI framework - The world's most comprehensive and performant ML platform"
keywords = ["machine-learning", "deep-learning", "artificial-intelligence", "tensor", "gpu"]
categories = ["science", "mathematics", "algorithms"]

[features]
default = ["core", "training", "inference"]

# Core (always available with feature)
core = []

# Major feature groups
training = ["rtx-transformers", "rtx-distributed", "rtx-flash-attention"]
inference = ["rtx-inference", "rtx-serving-api", "rtx-streaming"]
vision = ["rtx-vision"]

# Everything (for power users)
full = [
    "core", "training", "inference", "vision",
]

[dependencies]
# Core dependencies (always included)
rtx-tensor = { path = "../../core/rtx-tensor", version = "1.0.0" }
rtx-runtime = { path = "../../core/rtx-runtime", version = "1.0.0" }
rtx-autograd = { path = "../../core/rtx-autograd", version = "1.0.0" }
rtx-memory = { path = "../../core/rtx-memory", version = "1.0.0" }

# Optional dependencies (feature-gated)
rtx-transformers = { path = "../../training/rtx-transformers", version = "1.0.0", optional = true }
rtx-distributed = { path = "../../training/rtx-distributed", version = "1.0.0", optional = true }
rtx-flash-attention = { path = "../../training/rtx-flash-attention", version = "1.0.0", optional = true }

rtx-inference = { path = "../../production/rtx-inference", version = "1.0.0", optional = true }
rtx-serving-api = { path = "../../production/rtx-serving-api", version = "1.0.0", optional = true }
rtx-streaming = { path = "../../production/rtx-streaming", version = "1.0.0", optional = true }

rtx-vision = { path = "../../models/rtx-vision", version = "1.0.0", optional = true }

[dev-dependencies]
tokio-test = "0.4"
criterion = "0.5"
[lints]
workspace = true