osobh
d52d359f52
- rtx-metal: fix MetalError import in sparse/conversion.rs non-macOS stub - rtx-onnx: update session.rs and tensor_bridge.rs for ort 2.x API changes - rtx-fusion: fix Cargo.toml package name - rtx-hub: fix discovery.rs type mismatch - Full workspace (80+ crates) now compiles clean on Linux
58 lines
1.3 KiB
TOML
58 lines
1.3 KiB
TOML
[package]
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name = "rtx-fusion"
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version = "1.0.0"
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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description = "Automatic kernel fusion for RustyTorch - stream-based fusion similar to Burn's burn-fusion"
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keywords = ["gpu", "kernel-fusion", "deep-learning", "optimization"]
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categories = ["science", "algorithms"]
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rust-version = "1.92"
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[dependencies]
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# Core RTX dependencies
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rtx-backend = { workspace = true }
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rtx-runtime = { workspace = true }
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# CubeCL for kernel generation (optional)
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cubecl = { workspace = true, optional = true }
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cubecl-core = { workspace = true, optional = true }
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cubecl-runtime = { workspace = true, optional = true }
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# Error handling
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anyhow.workspace = true
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thiserror.workspace = true
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# Logging and tracing
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tracing.workspace = true
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# Serialization (for cache persistence)
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serde = { workspace = true, features = ["derive"] }
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# Concurrency
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parking_lot.workspace = true
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# Collections
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indexmap = { workspace = true }
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dashmap.workspace = true
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# Hashing for kernel signatures
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sha2.workspace = true
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[dev-dependencies]
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criterion.workspace = true
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tokio-test.workspace = true
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tempfile.workspace = true
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[features]
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default = ["cubecl"]
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cubecl = ["dep:cubecl", "dep:cubecl-core", "dep:cubecl-runtime"]
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[[bench]]
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name = "fusion_bench"
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harness = false
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[lints]
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workspace = true
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