mirror of https://github.com/tracel-ai/burn.git
56 lines
1.6 KiB
TOML
56 lines
1.6 KiB
TOML
[package]
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authors = ["nathanielsimard <nathaniel.simard.42@gmail.com>"]
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categories = ["science"]
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description = "WGPU backend for the Burn framework"
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edition = "2021"
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keywords = ["deep-learning", "machine-learning", "gpu", "wgpu", "webgpu"]
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license = "MIT OR Apache-2.0"
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name = "burn-wgpu"
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readme = "README.md"
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repository = "https://github.com/burn-rs/burn/tree/main/burn-wgpu"
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version = "0.10.0"
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[features]
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default = []
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[dependencies]
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burn-common = { path = "../burn-common", version = "0.10.0" }
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burn-tensor = { path = "../burn-tensor", version = "0.10.0" }
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bytemuck = { workspace = true }
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derive-new = { workspace = true }
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log = { workspace = true }
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num-traits = { workspace = true }
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rand = { workspace = true }
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spin = { workspace = true }
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# WGPU stuff
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futures-intrusive = { workspace = true }
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pollster = { workspace = true }
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wgpu = { workspace = true, features = ["fragile-send-sync-non-atomic-wasm"] }
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# Template
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serde = { workspace = true }
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text_placeholder = { version = "0.5.0", features = ["struct_context"] }
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hashbrown = { workspace = true }
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burn-compute = { path = "../burn-compute", version = "0.10.0", default-features = false, features = [
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"channel-mutex",
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"std",
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] }
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[dev-dependencies]
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burn-autodiff = { path = "../burn-autodiff", version = "0.10.0", default-features = false, features = [
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"export_tests",
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] }
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burn-tensor = { path = "../burn-tensor", version = "0.10.0", default-features = false, features = [
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"export_tests",
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"benchmark",
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] }
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burn-ndarray = { path = "../burn-ndarray", version = "0.10.0" }
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serial_test = "2.0.0"
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[[bench]]
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name = "matmul"
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harness = false
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