450c23a6d0
- Remove ALL #[cfg(feature = "cuda")] guards (~400+ occurrences) - Remove ALL #[cfg_attr(not(feature = "cuda"), ignore)] test annotations (~250) - Make cuda default feature in 9 ML crates (ml, ml-core, ml-dqn, ml-ppo, etc.) - Convert nvrtc JIT compilation to precompiled nvcc (searchsorted, prefix_sum) - Move compile_ptx_for_device() to ml-core for shared access - Delete dead CPU code: multi_step.rs, self_supervised_pretraining.rs, training_guard_gpu_tests.rs, CPU PER buffer paths, CPU Q-diagnostics - Replace unwrap_or(Device::Cpu) with hard errors everywhere - Remove dead is_cuda() else branches in DQN/PPO/hyperopt trainers - Change config defaults from "cpu" to "cuda" (rainbow, tlob, pipeline) - Port IQL value network to GPU kernel (5 CUDA entry points) - Port HER goal relabeling to GPU kernel (warp-per-sample) - Wire DSR GPU-to-CPU sync in training loop - cfg!(feature = "cuda") → true in inference_validator Zero warnings, zero errors across entire workspace. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
895 B
TOML
38 lines
895 B
TOML
[package]
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name = "ml-regime"
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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 = "Regime detection and structural break analysis for Foxhunt ML"
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[features]
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default = []
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[dependencies]
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ml-core.workspace = true
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ml-ensemble = { path = "../ml-ensemble", default-features = false }
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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tracing.workspace = true
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chrono.workspace = true
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thiserror.workspace = true
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anyhow.workspace = true
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sqlx.workspace = true
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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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rand.workspace = true
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[lints]
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workspace = true
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