[package]
name = "rtx-candle"
version.workspace = true
edition.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
description = "Candle ML framework integration for RustyTorch++ - minimal inference and WASM support"

[dependencies]
# Candle ML framework (HuggingFace)
candle-core.workspace = true
candle-nn = { workspace = true, optional = true }
candle-transformers = { workspace = true, optional = true }

# Internal RTX crates
rtx-tensor = { workspace = true, features = ["cpu"] }
rtx-runtime = { workspace = true }

# Error handling
thiserror.workspace = true
anyhow.workspace = true

# Async support
tokio.workspace = true
async-trait.workspace = true

# Serialization
serde.workspace = true
serde_json.workspace = true

# Logging
tracing.workspace = true

# SafeTensors for model loading
safetensors.workspace = true

# Bytemuck for type casting
bytemuck.workspace = true

# Tokenization (for transformer models)
tokenizers = { workspace = true, optional = true }

# Half precision support
half.workspace = true

# Directory utilities
dirs.workspace = true

[dev-dependencies]
tokio-test.workspace = true
tempfile.workspace = true

[features]
default = ["cpu"]
# CPU backend
cpu = []
# CUDA backend (NVIDIA GPUs)
cuda = ["candle-core/cuda"]
# Metal backend (Apple Silicon)
metal = ["candle-core/metal"]
# Neural network layers
nn = ["dep:candle-nn"]
# Transformer models (GPT, BERT, etc.)
transformers = ["dep:candle-transformers", "nn", "dep:tokenizers"]
# All features
full = ["nn", "transformers", "cuda", "metal"]

[lints]
workspace = true