mirror of
https://github.com/huggingface/candle.git
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50 lines
1.5 KiB
TOML
50 lines
1.5 KiB
TOML
[package]
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name = "candle-examples"
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version = "0.1.0"
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edition = "2021"
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description = "Examples for the candle ML framework."
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repository = "https://github.com/LaurentMazare/candle"
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keywords = ["blas", "tensor", "machine-learning"]
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categories = ["science"]
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license = "MIT/Apache-2.0"
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readme = "README.md"
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[dependencies]
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candle = { path = "../candle-core" }
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candle-nn = { path = "../candle-nn" }
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candle-transformers = { path = "../candle-transformers" }
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candle-flash-attn = { path = "../candle-flash-attn", optional = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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num-traits = { workspace = true }
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intel-mkl-src = { workspace = true, optional = true }
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cudarc = { workspace = true, optional = true }
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half = { workspace = true, optional = true }
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[dev-dependencies]
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anyhow = { workspace = true }
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byteorder = { workspace = true }
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hf-hub = { workspace = true}
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clap = { workspace = true }
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rand = { workspace = true }
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tokenizers = { workspace = true, features = ["onig"] }
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tracing = { workspace = true }
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tracing-chrome = { workspace = true }
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tracing-subscriber = { workspace = true }
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wav = { workspace = true }
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[build-dependencies]
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anyhow = { workspace = true }
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[features]
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default = []
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cuda = ["candle/cuda", "candle-nn/cuda", "candle-transformers/cuda"]
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flash-attn = ["cuda", "dep:candle-flash-attn"]
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mkl = ["dep:intel-mkl-src", "candle/mkl", "candle-nn/mkl", "candle-transformers/mkl"]
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nccl = ["cuda", "cudarc/nccl", "dep:half"]
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[[example]]
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name = "llama_multiprocess"
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required-features = ["cuda", "nccl"]
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