6ba52425ea
- Add compile-and-deploy, train-dqn/ppo/supervised WorkflowTemplates - Add Argo Events (EventSource, Sensor, Service) for webhook triggers - Add NetworkPolicy for compile-and-deploy pods (MinIO/DNS/API egress) - Add convenience scripts: argo-compile-deploy.sh, argo-train.sh - Drop cuDNN feature flags from all 9 ML crates (zero conv ops in codebase) - Switch training runtime base to nvidia/cuda:12.9.1-runtime (saves ~800MB) - Delete unused selective_scan.cu (16KB, zero Rust callers) - Fix GPU hotpath violations in ml-core (NVTX, gradient utils, capabilities) - Fix clippy warnings in ml-dqn (VarMap backticks, const fn) - Add DQN GPU smoketest, backtest evaluator signal adapter fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
44 lines
1.2 KiB
TOML
44 lines
1.2 KiB
TOML
[package]
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name = "ml-hyperopt"
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version.workspace = true
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edition.workspace = true
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rust-version.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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homepage.workspace = true
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documentation.workspace = true
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publish.workspace = true
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keywords.workspace = true
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categories.workspace = true
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description = "ML hyperparameter optimization — PSO, TPE, campaigns, sensitivity analysis"
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[features]
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default = ["cuda"]
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cuda = ["candle-core/cuda"]
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[dependencies]
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ml-core = { path = "../ml-core", default-features = false }
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common.workspace = true
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candle-core = { git = "https://github.com/huggingface/candle", rev = "671de1db" }
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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chrono.workspace = true
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tracing.workspace = true
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anyhow.workspace = true
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rand.workspace = true
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rand_distr.workspace = true
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ndarray = { workspace = true, features = ["rayon"] }
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rayon.workspace = true
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statrs.workspace = true
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argmin = { version = "0.8", features = ["rayon"] }
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argmin-math = "0.3"
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[dev-dependencies]
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tokio = { workspace = true, features = ["test-util", "macros"] }
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rand_chacha = "0.3"
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approx = "0.5"
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[lints]
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workspace = true
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