2023-01-02 08:21:08 +08:00
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[package]
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name = "burn-core"
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2023-02-13 04:32:29 +08:00
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version = "0.5.0"
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2023-01-02 08:21:08 +08:00
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authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
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description = "BURN: Burn Unstoppable Rusty Neurons"
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repository = "https://github.com/burn-rs/burn-core"
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readme = "README.md"
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keywords = ["deep-learning", "machine-learning", "tensor", "pytorch", "ndarray"]
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categories = ["science"]
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license = "MIT/Apache-2.0"
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edition = "2021"
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[features]
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default = []
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experimental-named-tensor = ["burn-tensor/experimental-named-tensor"]
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[dependencies]
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2023-02-13 04:32:29 +08:00
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burn-tensor = { version = "0.5.0", path = "../burn-tensor" }
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burn-autodiff = { version = "0.5.0", path = "../burn-autodiff" }
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burn-dataset = { version = "0.5.0", path = "../burn-dataset", default-features = false }
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burn-derive = { version = "0.5.0", path = "../burn-derive" }
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2023-01-02 08:21:08 +08:00
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# Utilities
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derive-new = "0.5.9"
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rand = "0.8.5"
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log = "0.4.17"
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# Serialize Deserialize
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serde = { version = "1.0.151", features = ["derive"] }
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serde_json = "1.0.91"
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flate2 = "1.0.25"
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# Parameter & Optimization
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nanoid = "0.4.0"
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[dev-dependencies]
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2023-02-13 04:32:29 +08:00
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burn-dataset = { version = "0.5.0", path = "../burn-dataset", features = [
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2023-01-02 08:21:08 +08:00
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"fake",
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] }
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2023-02-21 21:35:24 +08:00
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burn-ndarray = { version = "0.5.0", path = "../burn-ndarray", features = [
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"std"
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] }
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