mirror of https://github.com/tracel-ai/burn.git
40 lines
1.2 KiB
TOML
40 lines
1.2 KiB
TOML
[package]
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authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
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categories = ["science", "no-std", "embedded", "wasm"]
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description = "Tensor library with user-friendly APIs and automatic differentiation support"
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edition = "2021"
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keywords = ["deep-learning", "machine-learning", "tensor", "pytorch", "ndarray"]
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license = "MIT OR Apache-2.0"
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name = "burn-tensor"
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readme = "README.md"
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repository = "https://github.com/burn-rs/burn/tree/main/burn-tensor"
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version = "0.9.0"
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[features]
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default = ["std"]
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experimental-named-tensor = []
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export_tests = ["burn-tensor-testgen"]
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std = [
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"rand/std",
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"half/std",
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]
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[dependencies]
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burn-tensor-testgen = {path = "../burn-tensor-testgen", version = "0.9.0", optional = true}
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derive-new = {workspace = true}
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half = {workspace = true}
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libm = {workspace = true}# no_std is supported by default
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num-traits = {workspace = true}
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rand = {workspace = true}
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rand_distr = {workspace = true}# use instead of statrs because it supports no_std
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# The same implementation of HashMap in std but with no_std support (only needs alloc crate)
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hashbrown = {workspace = true}# no_std compatible
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# Serialization
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serde = {workspace = true}
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[dev-dependencies]
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rand = {workspace = true, features = ["std", "std_rng"]}# Default enables std
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