Omar Sobh
16161bb9df
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.
146 lines
3.9 KiB
TOML
146 lines
3.9 KiB
TOML
[package]
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name = "rtx-vision-advanced"
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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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license = "Apache-2.0"
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description = "State-of-the-art computer vision capabilities with medical imaging, autonomous vehicle support, and production-ready deployment"
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repository = "https://github.com/rustytorch/rustytorch"
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[dependencies]
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# Core RTX dependencies
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rtx-tensor = { path = "../../core/rtx-tensor" }
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rtx-autograd = { path = "../../core/rtx-autograd" }
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rtx-transformers = { path = "../../training/rtx-transformers" }
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rtx-flash-attention = { path = "../../training/rtx-flash-attention" }
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rtx-vision = { path = "../rtx-vision" }
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rtx-memory = { path = "../../core/rtx-memory" }
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rtx-inference = { path = "../../production/rtx-inference" }
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# Core utilities
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anyhow = "1.0"
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thiserror = "2"
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tracing = "0.1"
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log = "0.4"
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# Image processing and computer vision
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image = "0.24"
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imageproc = "0.23"
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opencv = { version = "0.84", optional = true }
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rerun = { version = "0.16", optional = true }
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# Medical imaging
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dicom = { version = "0.6", optional = true }
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dicom-object = { version = "0.6", optional = true }
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# Point cloud processing for autonomous vehicles
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pcd-rs = { version = "0.1", optional = true }
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las = { version = "0.7", optional = true }
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nalgebra.workspace = true
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nalgebra-glm = "0.18"
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# Advanced numeric computing
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ndarray = "0.15"
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ndarray-stats = "0.5"
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ndarray-linalg = { version = "0.16", optional = true }
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num-traits = "0.2"
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half = "2.3"
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rand = "0.8"
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rand_distr = "0.4"
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# Machine learning utilities
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# candle-core = { version = "0.3", optional = true } # Disabled - incompatible with Rust 2024
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# candle-nn = { version = "0.3", optional = true } # Disabled - incompatible with Rust 2024
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ort = { workspace = true, optional = true }
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# tch = { version = "0.13", optional = true } # Removed: PyTorch dependency
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# Serialization and I/O
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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bincode = "1.3"
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hdf5 = { version = "0.8", optional = true }
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# npy removed - was unused and brought in outdated nom 3.2.1
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# Use npyz or ndarray-npy if .npy file support needed
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# Concurrency and async
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tokio = { version = "1.35", features = ["full"] }
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rayon = "1.8"
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crossbeam = "0.8"
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parking_lot = "0.12"
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# GPU computing and optimization - using workspace cudarc 0.18.1
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cudarc = { workspace = true, optional = true }
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wgpu = { version = "0.19", optional = true }
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metal = { version = "0.27", optional = true }
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# Network models and pre-trained weights
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safetensors = "0.4"
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memmap2 = "0.9"
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reqwest = { version = "0.11", features = ["json", "stream"] }
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futures = "0.3"
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# Evaluation and benchmarking
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criterion = { version = "0.5", optional = true }
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indicatif = "0.17"
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console = "0.15"
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# Geometric and mathematical operations
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geo = { version = "0.26", optional = true }
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rstar = { version = "0.10", optional = true }
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kiddo = { version = "4.0", optional = true }
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[dev-dependencies]
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# Testing framework
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proptest = "1.4"
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criterion = "0.5"
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approx = "0.5"
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tempfile = "3.8"
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tokio-test = "0.4"
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# Benchmarking
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divan = "0.1"
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[features]
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default = []
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gpu = ["cudarc", "wgpu"]
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cuda = ["cudarc"]
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metal = ["dep:metal"]
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opencv = ["dep:opencv"]
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autonomous = ["pcd-rs", "las", "geo", "rstar", "kiddo"]
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onnx = ["ort"]
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linalg = ["ndarray-linalg"] # BLAS-dependent linear algebra (requires system BLAS)
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# pytorch = ["tch"] # Removed: PyTorch feature no longer available
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# candle = ["candle-core", "candle-nn"] # Disabled - incompatible with Rust 2024
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visualization = ["rerun"]
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benchmarks = ["criterion"]
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[lib]
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name = "rtx_vision_advanced"
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path = "src/lib.rs"
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[[bench]]
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name = "detection_bench"
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harness = false
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required-features = ["benchmarks"]
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[[bench]]
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name = "segmentation_bench"
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harness = false
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required-features = ["benchmarks"]
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[[bench]]
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name = "medical_bench"
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harness = false
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required-features = ["benchmarks", "medical"]
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[[bench]]
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name = "autonomous_bench"
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harness = false
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required-features = ["benchmarks", "autonomous"]
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[lints]
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workspace = true
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