b616d024ad
Three fixes for GPU PER hot path: 1. IQN quantile loss used empty CPU weights Vec instead of GPU-resident weights_tensor_cached — caused CUDA_ERROR_ILLEGAL_ADDRESS from uninitialized GPU memory. Now uses cached GPU tensor matching C51 and standard DQN paths. 2. GpuPrioritized add()/add_batch() replaced with StagedGpuBuffer: add() stages on CPU (Vec::push, zero GPU ops), sample() batch-flushes staging→GPU in one DMA before sampling. Production path (insert_batch_tensors) bypasses staging entirely — GPU→GPU with zero CPU. 3. All 9 ML sub-crates default to cuda feature so `cargo test -p ml-dqn` exercises GPU code paths on CUDA workstations. CI service crates use default-features=false, unaffected. Test results: 350 passed (was 343+7 failed), 0 failed, 1 ignored. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
68 lines
2.0 KiB
TOML
68 lines
2.0 KiB
TOML
[package]
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name = "ml-core"
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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 = "Shared ML types, traits, and infrastructure for Foxhunt"
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[features]
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default = ["cuda"]
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cuda = ["candle-core/cuda", "candle-core/cudnn", "candle-nn/cuda", "candle-nn/cudnn"]
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s3-storage = ["aws-config", "aws-sdk-s3", "aws-types", "aws-credential-types", "urlencoding"]
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high-precision = ["rust_decimal/serde-float"]
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mimalloc-allocator = ["mimalloc"]
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simd = []
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gc = []
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financial = []
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minimal-inference = []
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nccl = ["cuda"]
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[dependencies]
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# Core (needed by types in lib.rs)
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serde = { workspace = true, features = ["derive"] }
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serde_json.workspace = true
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thiserror.workspace = true
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anyhow.workspace = true
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chrono.workspace = true
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tracing.workspace = true
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rust_decimal.workspace = true
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async-trait.workspace = true
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futures.workspace = true
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tokio.workspace = true
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once_cell = "1.19"
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dashmap = { workspace = true }
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rayon.workspace = true
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num_cpus = "1.16"
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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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candle-optimisers = { git = "https://github.com/KGrewal1/optimisers" }
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common.workspace = true
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config.workspace = true
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uuid.workspace = true
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parking_lot = { version = "0.12", features = ["hardware-lock-elision"] }
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ndarray = { workspace = true, features = ["rayon"] }
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# Optional
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mimalloc = { version = "0.1", optional = true }
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aws-config = { version = "1.1", optional = true }
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aws-sdk-s3 = { version = "1.14", optional = true }
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aws-types = { version = "1.1", optional = true }
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aws-credential-types = { version = "1.1", optional = true }
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urlencoding = { version = "2.1", optional = true }
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[dev-dependencies]
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tokio = { workspace = true, features = ["test-util", "macros"] }
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tempfile = "3.12"
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approx = "0.5"
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[lints]
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workspace = true
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