The workspace root was upgraded to thiserror = "2" in an earlier commit, but 56 per-crate Cargo.toml files still independently declared "1.0". These crates do not use workspace.dependencies inheritance for thiserror. All updated to thiserror = "2" for complete fleet alignment. Includes: rtx-backend, rtx-tensor, rtx-losses, rtx-backend-cuda/rocm/metal, all training crates (rtx-auto, rtx-rl, rtx-distributed, rtx-federated, etc.), specialized crates (rtx-science, rtx-platform, rtx-nmf, rtx-neuro-*), production crates (rtx-streaming, rtx-serving-api), and all demo crates. cargo check --workspace: PASSES.
67 lines
1.5 KiB
TOML
67 lines
1.5 KiB
TOML
[package]
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name = "rtx-automeasure"
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version = "1.0.0"
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edition.workspace = true
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rust-version = "1.92"
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authors = ["RustyTorch Team"]
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description = "AutoML system for automatic model selection and hyperparameter optimization"
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license = "MIT OR Apache-2.0"
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repository = "https://github.com/rustytorch/rustytorch"
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[dependencies]
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# Core tensor and runtime dependencies
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rtx-tensor = { path = "../../core/rtx-tensor" }
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rtx-runtime = { path = "../../core/rtx-runtime" }
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# AutoML specific dependencies
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rtx-ml-classic = { path = "../../specialized/rtx-ml-classic" }
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rtx-preprocessing = { path = "../rtx-preprocessing" }
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rtx-validation = { path = "../../core/rtx-validation" }
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# Core Rust dependencies
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anyhow = "1.0"
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thiserror = "2"
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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uuid = { version = "1.0", features = ["v4"] }
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chrono = { version = "0.4", features = ["serde"] }
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log = "0.4"
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# Numerical computing
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ndarray = "0.15"
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rand = "0.8"
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rand_distr = "0.4"
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# Optimization and machine learning
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smartcore = "0.3"
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linfa = "0.7"
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linfa-bayes = "0.7"
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# Async and parallelism
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tokio = { version = "1.0", features = ["full"] }
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futures = "0.3"
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rayon = "1.7"
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# System monitoring
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sysinfo = "0.29"
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[target.'cfg(target_os = "linux")'.dependencies]
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procfs = "0.16"
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[dev-dependencies]
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tokio-test = "0.4"
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criterion = { version = "0.5", features = ["html_reports"] }
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approx = "0.5"
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tempfile = "3.8"
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[[bench]]
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name = "automl_bench"
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harness = false
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[features]
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default = ["gpu"]
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gpu = []
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cpu-only = []
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[lints]
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workspace = true
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