mirror of
https://github.com/ruvnet/RuView
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rUv
f49c722764
The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
93 lines
2.3 KiB
Rust
93 lines
2.3 KiB
Rust
//! Error types for the neural network crate.
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use thiserror::Error;
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/// Result type alias for neural network operations
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pub type NnResult<T> = Result<T, NnError>;
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/// Neural network errors
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#[derive(Error, Debug)]
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pub enum NnError {
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/// Configuration validation error
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#[error("Configuration error: {0}")]
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Config(String),
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/// Model loading error
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#[error("Failed to load model: {0}")]
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ModelLoad(String),
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/// Inference error
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#[error("Inference failed: {0}")]
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Inference(String),
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/// Shape mismatch error
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#[error("Shape mismatch: expected {expected:?}, got {actual:?}")]
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ShapeMismatch {
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/// Expected shape
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expected: Vec<usize>,
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/// Actual shape
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actual: Vec<usize>,
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},
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/// Invalid input error
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#[error("Invalid input: {0}")]
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InvalidInput(String),
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/// Backend not available
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#[error("Backend not available: {0}")]
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BackendUnavailable(String),
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/// ONNX Runtime error
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#[cfg(feature = "onnx")]
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#[error("ONNX Runtime error: {0}")]
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OnnxRuntime(#[from] ort::Error),
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/// IO error
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#[error("IO error: {0}")]
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Io(#[from] std::io::Error),
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/// Serialization error
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#[error("Serialization error: {0}")]
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Serialization(#[from] serde_json::Error),
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/// Tensor operation error
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#[error("Tensor operation error: {0}")]
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TensorOp(String),
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/// Unsupported operation
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#[error("Unsupported operation: {0}")]
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Unsupported(String),
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}
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impl NnError {
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/// Create a configuration error
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pub fn config<S: Into<String>>(msg: S) -> Self {
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NnError::Config(msg.into())
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}
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/// Create a model load error
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pub fn model_load<S: Into<String>>(msg: S) -> Self {
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NnError::ModelLoad(msg.into())
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}
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/// Create an inference error
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pub fn inference<S: Into<String>>(msg: S) -> Self {
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NnError::Inference(msg.into())
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}
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/// Create a shape mismatch error
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pub fn shape_mismatch(expected: Vec<usize>, actual: Vec<usize>) -> Self {
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NnError::ShapeMismatch { expected, actual }
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}
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/// Create an invalid input error
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pub fn invalid_input<S: Into<String>>(msg: S) -> Self {
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NnError::InvalidInput(msg.into())
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}
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/// Create a tensor operation error
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pub fn tensor_op<S: Into<String>>(msg: S) -> Self {
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NnError::TensorOp(msg.into())
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}
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}
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