- 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>
71 lines
1.6 KiB
TOML
71 lines
1.6 KiB
TOML
[package]
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name = "ml-supervised"
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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 = "Supervised models (TFT, Mamba, Liquid, TGGN, TLOB, KAN, xLSTM, Diffusion)"
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[features]
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default = ["cuda"]
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cuda = ["candle-core/cuda", "candle-nn/cuda"]
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[dependencies]
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ml-core.workspace = true
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common.workspace = true
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config.workspace = true
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data.workspace = true
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# Async
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tokio.workspace = true
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# ML frameworks
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candle-core = { git = "https://github.com/huggingface/candle", rev = "671de1db" }
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candle-nn = { git = "https://github.com/huggingface/candle", rev = "671de1db" }
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# Serialization
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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# Core utilities
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thiserror.workspace = true
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anyhow.workspace = true
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tracing.workspace = true
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rand.workspace = true
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uuid.workspace = true
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async-trait.workspace = true
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# Numerics
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ndarray = { workspace = true, features = ["rayon"] }
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nalgebra = { version = "0.33", features = ["serde-serialize"] }
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# Graph support (TGGN)
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petgraph = { version = "0.6", features = ["serde"] }
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# Caching (TFT)
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lru.workspace = true
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# System
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libc = "0.2"
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num_cpus = "1.16"
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# Concurrency
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rayon.workspace = true
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dashmap = { workspace = true }
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parking_lot = { version = "0.12", features = ["hardware-lock-elision"] }
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[dev-dependencies]
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tokio = { workspace = true, features = ["test-util", "macros"] }
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approx.workspace = true
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tempfile = "3"
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[lints]
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workspace = true
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