[INFO] fetching crate speakrs 0.4.0...
[INFO] testing speakrs-0.4.0 against 1.95.0 for beta-1.96-2
[INFO] extracting crate speakrs 0.4.0 into /workspace/builds/worker-0-tc1/source
[INFO] started tweaking crates.io crate speakrs 0.4.0
[INFO] removed 0 missing examples
[INFO] finished tweaking crates.io crate speakrs 0.4.0
[INFO] tweaked toml for crates.io crate speakrs 0.4.0 written to /workspace/builds/worker-0-tc1/source/Cargo.toml
[INFO] validating manifest of crates.io crate speakrs 0.4.0 on toolchain 1.95.0
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate speakrs 0.4.0 already has a lockfile, it will not be regenerated
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+1.95.0" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]     Updating crates.io index
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-0-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+1.95.0" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 8f66c11a23cdc0be560ed87af324107579b214e37442a739b3e14499c11628a1
[INFO] running `Command { std: "docker" "start" "-a" "8f66c11a23cdc0be560ed87af324107579b214e37442a739b3e14499c11628a1", kill_on_drop: false }`
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[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use ort::session::{HasSelectedOutputs, RunOptions, Session};
[INFO] [stdout]    |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/batch.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ort::value::TensorRef;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/fbank.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ort::value::TensorRef;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/load/sessions.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use ort::session::{HasSelectedOutputs, RunOptions, Session};
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/run.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ort::value::TensorRef;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/session.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use ort::session::Session;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/tail.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ort::value::TensorRef;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/tensor.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use ort::memory::Allocator;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/tensor.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use ort::session::{HasSelectedOutputs, OutputSelector, RunOptions};
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/tensor.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use ort::value::Tensor;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/segmentation/run.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use ort::value::TensorRef;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `crossbeam_channel`
[INFO] [stdout]  --> src/inference/segmentation/run.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use crossbeam_channel::Sender;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]  --> src/inference/segmentation/run.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use tracing::debug;
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]  --> src/pipeline/types/extract.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use tracing::debug;
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]  --> src/pipeline/clustering.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use tracing::{debug, trace};
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]  --> src/pipeline/concurrent.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use tracing::{debug, trace};
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]  --> src/pipeline/post_inference.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | use tracing::debug;
[INFO] [stdout]   |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/segmentation.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use ort::session::Session;
[INFO] [stdout]   |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `tracing`
[INFO] [stdout]   --> src/pipeline.rs:49:5
[INFO] [stdout]    |
[INFO] [stdout] 49 | use tracing::{debug, trace};
[INFO] [stdout]    |     ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `tracing`, use `cargo add tracing` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference.rs:20:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | use ort::session::builder::SessionBuilder;
[INFO] [stdout]    |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `ort`
[INFO] [stdout]   --> src/inference.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 19 | use ort::ep;
[INFO] [stdout]    |     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0432]: unresolved import `crossbeam_channel`
[INFO] [stdout]  --> src/pipeline/queued.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use crossbeam_channel::{Receiver, Sender};
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/batch.rs:50:17
[INFO] [stdout]    |
[INFO] [stdout] 50 |                 ort::inputs!["waveform" => waveform_tensor, "weights" => weights_tensor];
[INFO] [stdout]    |                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:153:22
[INFO] [stdout]     |
[INFO] [stdout] 153 |                 .run(ort::inputs!["fbank" => fbank_tensor, "masks" => masks_tensor])?;
[INFO] [stdout]     |                      ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:183:26
[INFO] [stdout]     |
[INFO] [stdout] 183 |                     .run(ort::inputs!["fbank" => fbank_tensor, "masks" => masks_tensor])?;
[INFO] [stdout]     |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:271:18
[INFO] [stdout]     |
[INFO] [stdout] 271 |             .run(ort::inputs!["fbank" => fbank_tensor, "weights" => weights_tensor])?;
[INFO] [stdout]     |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/fbank.rs:48:18
[INFO] [stdout]    |
[INFO] [stdout] 48 |             .run(ort::inputs!["waveform" => waveform_tensor])?;
[INFO] [stdout]    |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/fbank.rs:104:22
[INFO] [stdout]     |
[INFO] [stdout] 104 |                 .run(ort::inputs!["waveform" => waveform_tensor])?;
[INFO] [stdout]     |                      ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/run.rs:43:18
[INFO] [stdout]    |
[INFO] [stdout] 43 |             .run(ort::inputs!["waveform" => waveform_tensor, "weights" => weights_tensor])?;
[INFO] [stdout]    |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/tail.rs:127:18
[INFO] [stdout]     |
[INFO] [stdout] 127 |             .run(ort::inputs!["fbank" => fbank_tensor, "weights" => weights_tensor])?;
[INFO] [stdout]     |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/tail.rs:213:18
[INFO] [stdout]     |
[INFO] [stdout] 213 |             .run(ort::inputs!["fbank" => fbank_tensor, "weights" => weights_tensor])?;
[INFO] [stdout]     |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:141:40
[INFO] [stdout]     |
[INFO] [stdout] 141 |         let outputs = self.session.run(ort::inputs![input_tensor])?;
[INFO] [stdout]     |                                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:174:18
[INFO] [stdout]     |
[INFO] [stdout] 174 |             .run(ort::inputs![input_tensor])?;
[INFO] [stdout]     |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `tracing` in this scope
[INFO] [stdout]    --> src/pipeline/clustering.rs:201:12
[INFO] [stdout]     |
[INFO] [stdout] 201 |         if tracing::enabled!(tracing::Level::TRACE) {
[INFO] [stdout]     |            ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `tracing` in this scope
[INFO] [stdout]   --> src/inference/embedding/fbank.rs:62:13
[INFO] [stdout]    |
[INFO] [stdout] 62 |             tracing::debug!(
[INFO] [stdout]    |             ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `tracing` in this scope
[INFO] [stdout]    --> src/inference/embedding/load/sessions.rs:224:13
[INFO] [stdout]     |
[INFO] [stdout] 224 |             tracing::trace!(
[INFO] [stdout]     |             ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:17:17
[INFO] [stdout]    |
[INFO] [stdout] 17 | #[derive(Debug, thiserror::Error)]
[INFO] [stdout]    |                 ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `tracing` in this scope
[INFO] [stdout]    --> src/inference/segmentation.rs:172:13
[INFO] [stdout]     |
[INFO] [stdout] 172 |             tracing::trace!(
[INFO] [stdout]     |             ^^^^^^^ use of unresolved module or unlinked crate `tracing`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]    --> src/inference.rs:126:17
[INFO] [stdout]     |
[INFO] [stdout] 126 | #[derive(Debug, thiserror::Error)]
[INFO] [stdout]     |                 ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]    --> src/inference.rs:158:24
[INFO] [stdout]     |
[INFO] [stdout] 158 | #[derive(Debug, Clone, thiserror::Error)]
[INFO] [stdout]     |                        ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]    --> src/inference.rs:172:24
[INFO] [stdout]     |
[INFO] [stdout] 172 | #[derive(Debug, Clone, thiserror::Error)]
[INFO] [stdout]     |                        ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]    --> src/inference.rs:219:24
[INFO] [stdout]     |
[INFO] [stdout] 219 | #[derive(Debug, Clone, thiserror::Error)]
[INFO] [stdout]     |                        ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]  --> src/pipeline/types/error.rs:4:17
[INFO] [stdout]   |
[INFO] [stdout] 4 | #[derive(Debug, thiserror::Error)]
[INFO] [stdout]   |                 ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `thiserror` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:53:17
[INFO] [stdout]    |
[INFO] [stdout] 53 | #[derive(Debug, thiserror::Error)]
[INFO] [stdout]    |                 ^^^^^^^^^ use of unresolved module or unlinked crate `thiserror`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:20:7
[INFO] [stdout]    |
[INFO] [stdout] 20 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:21:11
[INFO] [stdout]    |
[INFO] [stdout] 21 |     Ort(#[from] ort::Error),
[INFO] [stdout]    |           ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:23:7
[INFO] [stdout]    |
[INFO] [stdout] 23 |     #[error("receiver disconnected")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:24:20
[INFO] [stdout]    |
[INFO] [stdout] 24 |     Disconnected(#[from] crossbeam_channel::SendError<Array2<f32>>),
[INFO] [stdout]    |                    ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:26:7
[INFO] [stdout]    |
[INFO] [stdout] 26 |     #[error("{context}: {message}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:34:7
[INFO] [stdout]    |
[INFO] [stdout] 34 |     #[error("{worker} thread panicked")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 18 + #[derive(Error)]
[INFO] [stdout] 19 | pub enum SegmentationError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:129:7
[INFO] [stdout]     |
[INFO] [stdout] 129 |     #[error(transparent)]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]    --> src/inference.rs:130:32
[INFO] [stdout]     |
[INFO] [stdout] 130 |     UnsupportedExecutionMode(#[from] ExecutionModeError),
[INFO] [stdout]     |                                ^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:132:7
[INFO] [stdout]     |
[INFO] [stdout] 132 |     #[error(transparent)]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]    --> src/inference.rs:133:15
[INFO] [stdout]     |
[INFO] [stdout] 133 |     Runtime(#[from] OrtRuntimeError),
[INFO] [stdout]     |               ^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:135:7
[INFO] [stdout]     |
[INFO] [stdout] 135 |     #[error(transparent)]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]    --> src/inference.rs:136:11
[INFO] [stdout]     |
[INFO] [stdout] 136 |     Ort(#[from] ort::Error),
[INFO] [stdout]     |           ^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:138:7
[INFO] [stdout]     |
[INFO] [stdout] 138 |     #[error("{mode} requires native asset `{path}`")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:146:7
[INFO] [stdout]     |
[INFO] [stdout] 146 |     #[error("{mode} failed to load native asset `{path}`: {message}")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 127 + #[derive(Error)]
[INFO] [stdout] 128 | pub enum ModelLoadError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:161:7
[INFO] [stdout]     |
[INFO] [stdout] 161 |     #[error(transparent)]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 159 + #[derive(Error)]
[INFO] [stdout] 160 | pub enum OrtRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]    --> src/inference.rs:162:15
[INFO] [stdout]     |
[INFO] [stdout] 162 |     Dynamic(#[from] DynamicRuntimeError),
[INFO] [stdout]     |               ^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 159 + #[derive(Error)]
[INFO] [stdout] 160 | pub enum OrtRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:164:7
[INFO] [stdout]     |
[INFO] [stdout] 164 |     #[error("failed to initialize ONNX Runtime: {message}")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 159 + #[derive(Error)]
[INFO] [stdout] 160 | pub enum OrtRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:175:7
[INFO] [stdout]     |
[INFO] [stdout] 175 |     #[error(
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 173 + #[derive(Error)]
[INFO] [stdout] 174 | pub enum DynamicRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:185:7
[INFO] [stdout]     |
[INFO] [stdout] 185 |     #[error("failed to load ONNX Runtime dynamic library at `{path}`: {message}")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 173 + #[derive(Error)]
[INFO] [stdout] 174 | pub enum DynamicRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:193:7
[INFO] [stdout]     |
[INFO] [stdout] 193 |     #[error("ONNX Runtime dynamic library at `{path}` does not export `OrtGetApiBase`")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 173 + #[derive(Error)]
[INFO] [stdout] 174 | pub enum DynamicRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:199:7
[INFO] [stdout]     |
[INFO] [stdout] 199 |     #[error("ONNX Runtime dynamic library at `{path}` returned a null `OrtApiBase`")]
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 173 + #[derive(Error)]
[INFO] [stdout] 174 | pub enum DynamicRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:205:7
[INFO] [stdout]     |
[INFO] [stdout] 205 |     #[error(
[INFO] [stdout]     |       ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 173 + #[derive(Error)]
[INFO] [stdout] 174 | pub enum DynamicRuntimeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]    --> src/inference.rs:220:3
[INFO] [stdout]     |
[INFO] [stdout] 220 | #[error("{mode} requires the `{feature}` Cargo feature")]
[INFO] [stdout]     |   ^^^^^
[INFO] [stdout]     |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]     |
[INFO] [stdout] 221 + #[derive(Error)]
[INFO] [stdout] 222 | pub struct ExecutionModeError {
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]  --> src/pipeline/types/error.rs:7:7
[INFO] [stdout]   |
[INFO] [stdout] 7 |     #[error(transparent)]
[INFO] [stdout]   |       ^^^^^
[INFO] [stdout]   |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]   |
[INFO] [stdout] 5 + #[derive(Error)]
[INFO] [stdout] 6 | pub enum PipelineError {
[INFO] [stdout]   |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]  --> src/pipeline/types/error.rs:8:17
[INFO] [stdout]   |
[INFO] [stdout] 8 |     ModelLoad(#[from] ModelLoadError),
[INFO] [stdout]   |                 ^^^^
[INFO] [stdout]   |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]   |
[INFO] [stdout] 5 + #[derive(Error)]
[INFO] [stdout] 6 | pub enum PipelineError {
[INFO] [stdout]   |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:10:7
[INFO] [stdout]    |
[INFO] [stdout] 10 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:11:11
[INFO] [stdout]    |
[INFO] [stdout] 11 |     Ort(#[from] ort::Error),
[INFO] [stdout]    |           ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:13:7
[INFO] [stdout]    |
[INFO] [stdout] 13 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:14:32
[INFO] [stdout]    |
[INFO] [stdout] 14 |     UnsupportedExecutionMode(#[from] ExecutionModeError),
[INFO] [stdout]    |                                ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:16:7
[INFO] [stdout]    |
[INFO] [stdout] 16 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:17:20
[INFO] [stdout]    |
[INFO] [stdout] 17 |     Segmentation(#[from] crate::inference::segmentation::SegmentationError),
[INFO] [stdout]    |                    ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:19:7
[INFO] [stdout]    |
[INFO] [stdout] 19 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:20:12
[INFO] [stdout]    |
[INFO] [stdout] 20 |     Plda(#[from] crate::clustering::plda::PldaError),
[INFO] [stdout]    |            ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:23:7
[INFO] [stdout]    |
[INFO] [stdout] 23 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:24:13
[INFO] [stdout]    |
[INFO] [stdout] 24 |     HfHub(#[from] hf_hub::api::sync::ApiError),
[INFO] [stdout]    |             ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:26:7
[INFO] [stdout]    |
[INFO] [stdout] 26 |     #[error(transparent)]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `from` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:27:13
[INFO] [stdout]    |
[INFO] [stdout] 27 |     Queue(#[from] super::super::queued::QueueError),
[INFO] [stdout]    |             ^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `from` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:29:7
[INFO] [stdout]    |
[INFO] [stdout] 29 |     #[error("{0}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:32:7
[INFO] [stdout]    |
[INFO] [stdout] 32 |     #[error("{worker} thread panicked")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:38:7
[INFO] [stdout]    |
[INFO] [stdout] 38 |     #[error("{context}: {message}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:46:7
[INFO] [stdout]    |
[INFO] [stdout] 46 |     #[error("{0}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout]  5 + #[derive(Error)]
[INFO] [stdout]  6 | pub enum PipelineError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:56:7
[INFO] [stdout]    |
[INFO] [stdout] 56 |     #[error("queue has finished processing all submitted jobs")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 54 + #[derive(Error)]
[INFO] [stdout] 55 | pub enum QueueError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:59:7
[INFO] [stdout]    |
[INFO] [stdout] 59 |     #[error("queue worker has shut down")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 54 + #[derive(Error)]
[INFO] [stdout] 55 | pub enum QueueError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:62:7
[INFO] [stdout]    |
[INFO] [stdout] 62 |     #[error("failed to start queue worker: {0}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 54 + #[derive(Error)]
[INFO] [stdout] 55 | pub enum QueueError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `source` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:63:19
[INFO] [stdout]    |
[INFO] [stdout] 63 |     WorkerStart(#[source] std::io::Error),
[INFO] [stdout]    |                   ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `source` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 54 + #[derive(Error)]
[INFO] [stdout] 55 | pub enum QueueError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: cannot find attribute `error` in this scope
[INFO] [stdout]   --> src/pipeline/queued.rs:65:7
[INFO] [stdout]    |
[INFO] [stdout] 65 |     #[error("worker thread panicked: {0}")]
[INFO] [stdout]    |       ^^^^^
[INFO] [stdout]    |
[INFO] [stdout] help: `error` is an attribute that can be used by the derive macro `Error`, you might be missing a `derive` attribute
[INFO] [stdout]    |
[INFO] [stdout] 54 + #[derive(Error)]
[INFO] [stdout] 55 | pub enum QueueError {
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:56:18
[INFO] [stdout]    |
[INFO] [stdout] 56 |         builder: ort::session::builder::SessionBuilder,
[INFO] [stdout]    |                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:57:17
[INFO] [stdout]    |
[INFO] [stdout] 57 |     ) -> Result<ort::session::builder::SessionBuilder, ort::Error> {
[INFO] [stdout]    |                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:152:32
[INFO] [stdout]     |
[INFO] [stdout] 152 |                 .ok_or_else(|| ort::Error::new("missing multi-mask batched session"))?
[INFO] [stdout]     |                                ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 152 -                 .ok_or_else(|| ort::Error::new("missing multi-mask batched session"))?
[INFO] [stdout] 152 +                 .ok_or_else(|| Error::new("missing multi-mask batched session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:182:36
[INFO] [stdout]     |
[INFO] [stdout] 182 |                     .ok_or_else(|| ort::Error::new("missing multi-mask session"))?
[INFO] [stdout]     |                                    ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 182 -                     .ok_or_else(|| ort::Error::new("missing multi-mask session"))?
[INFO] [stdout] 182 +                     .ok_or_else(|| Error::new("missing multi-mask session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:212:25
[INFO] [stdout]     |
[INFO] [stdout] 212 |                         ort::Error::new("split primary feature batch buffer was not contiguous")
[INFO] [stdout]     |                         ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 212 -                         ort::Error::new("split primary feature batch buffer was not contiguous")
[INFO] [stdout] 212 +                         Error::new("split primary feature batch buffer was not contiguous")
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:270:28
[INFO] [stdout]     |
[INFO] [stdout] 270 |             .ok_or_else(|| ort::Error::new("missing primary tail batched session"))?
[INFO] [stdout]     |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 270 -             .ok_or_else(|| ort::Error::new("missing primary tail batched session"))?
[INFO] [stdout] 270 +             .ok_or_else(|| Error::new("missing primary tail batched session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/fbank.rs:47:28
[INFO] [stdout]    |
[INFO] [stdout] 47 |             .ok_or_else(|| ort::Error::new("missing split fbank session"))?
[INFO] [stdout]    |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 47 -             .ok_or_else(|| ort::Error::new("missing split fbank session"))?
[INFO] [stdout] 47 +             .ok_or_else(|| Error::new("missing split fbank session"))?
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/fbank.rs:103:32
[INFO] [stdout]     |
[INFO] [stdout] 103 |                 .ok_or_else(|| ort::Error::new("missing split fbank batched session"))?
[INFO] [stdout]     |                                ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 103 -                 .ok_or_else(|| ort::Error::new("missing split fbank batched session"))?
[INFO] [stdout] 103 +                 .ok_or_else(|| Error::new("missing split fbank batched session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/tail.rs:126:28
[INFO] [stdout]     |
[INFO] [stdout] 126 |             .ok_or_else(|| ort::Error::new("missing split tail session"))?
[INFO] [stdout]     |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 126 -             .ok_or_else(|| ort::Error::new("missing split tail session"))?
[INFO] [stdout] 126 +             .ok_or_else(|| Error::new("missing split tail session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/tail.rs:212:28
[INFO] [stdout]     |
[INFO] [stdout] 212 |             .ok_or_else(|| ort::Error::new("missing split tail batched session"))?
[INFO] [stdout]     |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 212 -             .ok_or_else(|| ort::Error::new("missing split tail batched session"))?
[INFO] [stdout] 212 +             .ok_or_else(|| Error::new("missing split tail batched session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:12:24
[INFO] [stdout]    |
[INFO] [stdout] 12 |         .ok_or_else(|| ort::Error::new(format!("{context}: mask buffer was not contiguous")))
[INFO] [stdout]    |                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 12 -         .ok_or_else(|| ort::Error::new(format!("{context}: mask buffer was not contiguous")))
[INFO] [stdout] 12 +         .ok_or_else(|| Error::new(format!("{context}: mask buffer was not contiguous")))
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:22:26
[INFO] [stdout]    |
[INFO] [stdout] 22 |         .map_err(|error| ort::Error::new(format!("{context}: invalid output shape: {error}")))
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 22 -         .map_err(|error| ort::Error::new(format!("{context}: invalid output shape: {error}")))
[INFO] [stdout] 22 +         .map_err(|error| Error::new(format!("{context}: invalid output shape: {error}")))
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:41:24
[INFO] [stdout]    |
[INFO] [stdout] 41 |         .ok_or_else(|| ort::Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout]    |                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 41 -         .ok_or_else(|| ort::Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout] 41 +         .ok_or_else(|| Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:60:24
[INFO] [stdout]    |
[INFO] [stdout] 60 |         .ok_or_else(|| ort::Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout]    |                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 60 -         .ok_or_else(|| ort::Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout] 60 +         .ok_or_else(|| Error::new(format!("{context}: array buffer was not contiguous")))
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:69:9
[INFO] [stdout]    |
[INFO] [stdout] 69 |         ort::Error::new(format!(
[INFO] [stdout]    |         ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 69 -         ort::Error::new(format!(
[INFO] [stdout] 69 +         Error::new(format!(
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:75:13
[INFO] [stdout]    |
[INFO] [stdout] 75 |             ort::Error::new(format!("{context}: failed to build run options: {error}"))
[INFO] [stdout]    |             ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]    |
[INFO] [stdout]  1 + use crate::inference::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::error::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::fmt::Error;
[INFO] [stdout]    |
[INFO] [stdout]  1 + use std::io::Error;
[INFO] [stdout]    |
[INFO] [stdout]    = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]    |
[INFO] [stdout] 75 -             ort::Error::new(format!("{context}: failed to build run options: {error}"))
[INFO] [stdout] 75 +             Error::new(format!("{context}: failed to build run options: {error}"))
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:108:38
[INFO] [stdout]     |
[INFO] [stdout] 108 |                     .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout]     |                                      ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 108 -                     .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout] 108 +                     .map_err(|error| Error::new(error.to_string()))?;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:116:34
[INFO] [stdout]     |
[INFO] [stdout] 116 |                 .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout]     |                                  ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 116 -                 .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout] 116 +                 .map_err(|error| Error::new(error.to_string()))?;
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:148:30
[INFO] [stdout]     |
[INFO] [stdout] 148 |             .map_err(|error| ort::Error::new(format!("segmentation window output shape: {error}")))
[INFO] [stdout]     |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 148 -             .map_err(|error| ort::Error::new(format!("segmentation window output shape: {error}")))
[INFO] [stdout] 148 +             .map_err(|error| Error::new(format!("segmentation window output shape: {error}")))
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:173:28
[INFO] [stdout]     |
[INFO] [stdout] 173 |             .ok_or_else(|| ort::Error::new("missing primary batched segmentation session"))?
[INFO] [stdout]     |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 173 -             .ok_or_else(|| ort::Error::new("missing primary batched segmentation session"))?
[INFO] [stdout] 173 +             .ok_or_else(|| Error::new("missing primary batched segmentation session"))?
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:187:25
[INFO] [stdout]     |
[INFO] [stdout] 187 |                         ort::Error::new(format!("segmentation batch output shape: {error}"))
[INFO] [stdout]     |                         ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   1 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 187 -                         ort::Error::new(format!("segmentation batch output shape: {error}"))
[INFO] [stdout] 187 +                         Error::new(format!("segmentation batch output shape: {error}"))
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference.rs:228:9
[INFO] [stdout]     |
[INFO] [stdout] 228 |         ort::Error::new(error.to_string())
[INFO] [stdout]     |         ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing one of these items
[INFO] [stdout]     |
[INFO] [stdout]   6 + use crate::inference::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   6 + use std::error::Error;
[INFO] [stdout]     |
[INFO] [stdout]   6 + use std::fmt::Error;
[INFO] [stdout]     |
[INFO] [stdout]   6 + use std::io::Error;
[INFO] [stdout]     |
[INFO] [stdout]     = and 2 other candidates
[INFO] [stdout] help: if you import `Error`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 228 -         ort::Error::new(error.to_string())
[INFO] [stdout] 228 +         Error::new(error.to_string())
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/queued.rs:200:17
[INFO] [stdout]     |
[INFO] [stdout] 200 |             Err(crossbeam_channel::TryRecvError::Empty) => Ok(None),
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing this enum
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::sync::mpsc::TryRecvError;
[INFO] [stdout]     |
[INFO] [stdout] help: if you import `TryRecvError`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 200 -             Err(crossbeam_channel::TryRecvError::Empty) => Ok(None),
[INFO] [stdout] 200 +             Err(TryRecvError::Empty) => Ok(None),
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/queued.rs:201:17
[INFO] [stdout]     |
[INFO] [stdout] 201 |             Err(crossbeam_channel::TryRecvError::Disconnected) => Err(self.join_terminal_worker()),
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] help: consider importing this enum
[INFO] [stdout]     |
[INFO] [stdout]   1 + use std::sync::mpsc::TryRecvError;
[INFO] [stdout]     |
[INFO] [stdout] help: if you import `TryRecvError`, refer to it directly
[INFO] [stdout]     |
[INFO] [stdout] 201 -             Err(crossbeam_channel::TryRecvError::Disconnected) => Err(self.join_terminal_worker()),
[INFO] [stdout] 201 +             Err(TryRecvError::Disconnected) => Err(self.join_terminal_worker()),
[INFO] [stdout]     |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `ModelLoadError`
[INFO] [stdout]    --> src/inference/embedding/load.rs:26:24
[INFO] [stdout]     |
[INFO] [stdout]  26 |         mode.validate()?;
[INFO] [stdout]     |              ----------^ the trait `From<ExecutionModeError>` is not implemented for `ModelLoadError`
[INFO] [stdout]     |              |
[INFO] [stdout]     |              this can't be annotated with `?` because it has type `Result<_, ExecutionModeError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `ModelLoadError` needs to implement `From<ExecutionModeError>`
[INFO] [stdout]    --> src/inference.rs:127:1
[INFO] [stdout]     |
[INFO] [stdout] 127 | pub enum ModelLoadError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: `SegmentationError` doesn't implement `std::fmt::Display`
[INFO] [stdout]    --> src/inference/segmentation/run.rs:108:60
[INFO] [stdout]     |
[INFO] [stdout] 108 |                     .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout]     |                                                            ^^^^^^^^^ method cannot be called on `SegmentationError` due to unsatisfied trait bounds
[INFO] [stdout]     |
[INFO] [stdout]    ::: src/inference/segmentation.rs:18:1
[INFO] [stdout]     |
[INFO] [stdout]  18 | pub enum SegmentationError {
[INFO] [stdout]     | -------------------------- method `to_string` not found for this enum because it doesn't satisfy `SegmentationError: ToString` or `SegmentationError: std::fmt::Display`
[INFO] [stdout]     |
[INFO] [stdout]     = note: the following trait bounds were not satisfied:
[INFO] [stdout]             `SegmentationError: std::fmt::Display`
[INFO] [stdout]             which is required by `SegmentationError: ToString`
[INFO] [stdout] note: the trait `std::fmt::Display` must be implemented
[INFO] [stdout]    --> /rustc/59807616e1fa2540724bfbac14d7976d7e4a3860/library/core/src/fmt/mod.rs:1186:0
[INFO] [stdout] note: the method `to_string` exists on the type `String`
[INFO] [stdout]    --> /rustc/59807616e1fa2540724bfbac14d7976d7e4a3860/library/alloc/src/string.rs:2880:4
[INFO] [stdout]     = help: items from traits can only be used if the trait is implemented and in scope
[INFO] [stdout]     = note: the following trait defines an item `to_string`, perhaps you need to implement it:
[INFO] [stdout]             candidate #1: `ToString`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: `SegmentationError` doesn't implement `std::fmt::Display`
[INFO] [stdout]    --> src/inference/segmentation/run.rs:116:56
[INFO] [stdout]     |
[INFO] [stdout] 116 |                 .map_err(|error| ort::Error::new(error.to_string()))?;
[INFO] [stdout]     |                                                        ^^^^^^^^^ method cannot be called on `SegmentationError` due to unsatisfied trait bounds
[INFO] [stdout]     |
[INFO] [stdout]    ::: src/inference/segmentation.rs:18:1
[INFO] [stdout]     |
[INFO] [stdout]  18 | pub enum SegmentationError {
[INFO] [stdout]     | -------------------------- method `to_string` not found for this enum because it doesn't satisfy `SegmentationError: ToString` or `SegmentationError: std::fmt::Display`
[INFO] [stdout]     |
[INFO] [stdout]     = note: the following trait bounds were not satisfied:
[INFO] [stdout]             `SegmentationError: std::fmt::Display`
[INFO] [stdout]             which is required by `SegmentationError: ToString`
[INFO] [stdout] note: the trait `std::fmt::Display` must be implemented
[INFO] [stdout]    --> /rustc/59807616e1fa2540724bfbac14d7976d7e4a3860/library/core/src/fmt/mod.rs:1186:0
[INFO] [stdout] note: the method `to_string` exists on the type `String`
[INFO] [stdout]    --> /rustc/59807616e1fa2540724bfbac14d7976d7e4a3860/library/alloc/src/string.rs:2880:4
[INFO] [stdout]     = help: items from traits can only be used if the trait is implemented and in scope
[INFO] [stdout]     = note: the following trait defines an item `to_string`, perhaps you need to implement it:
[INFO] [stdout]             candidate #1: `ToString`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `ModelLoadError`
[INFO] [stdout]    --> src/inference/segmentation.rs:87:24
[INFO] [stdout]     |
[INFO] [stdout]  87 |         mode.validate()?;
[INFO] [stdout]     |              ----------^ the trait `From<ExecutionModeError>` is not implemented for `ModelLoadError`
[INFO] [stdout]     |              |
[INFO] [stdout]     |              this can't be annotated with `?` because it has type `Result<_, ExecutionModeError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `ModelLoadError` needs to implement `From<ExecutionModeError>`
[INFO] [stdout]    --> src/inference.rs:127:1
[INFO] [stdout]     |
[INFO] [stdout] 127 | pub enum ModelLoadError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: `ExecutionModeError` doesn't implement `std::fmt::Display`
[INFO] [stdout]    --> src/inference.rs:228:31
[INFO] [stdout]     |
[INFO] [stdout] 221 | pub struct ExecutionModeError {
[INFO] [stdout]     | ----------------------------- method `to_string` not found for this struct because it doesn't satisfy `ExecutionModeError: ToString` or `ExecutionModeError: std::fmt::Display`
[INFO] [stdout] ...
[INFO] [stdout] 228 |         ort::Error::new(error.to_string())
[INFO] [stdout]     |                               ^^^^^^^^^ method cannot be called on `ExecutionModeError` due to unsatisfied trait bounds
[INFO] [stdout]     |
[INFO] [stdout]     = note: the following trait bounds were not satisfied:
[INFO] [stdout]             `ExecutionModeError: std::fmt::Display`
[INFO] [stdout]             which is required by `ExecutionModeError: ToString`
[INFO] [stdout] note: the trait `std::fmt::Display` must be implemented
[INFO] [stdout]    --> /rustc/59807616e1fa2540724bfbac14d7976d7e4a3860/library/core/src/fmt/mod.rs:1186:0
[INFO] [stdout]     = help: items from traits can only be used if the trait is implemented and in scope
[INFO] [stdout]     = note: the following trait defines an item `to_string`, perhaps you need to implement it:
[INFO] [stdout]             candidate #1: `ToString`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]   --> src/pipeline/builder.rs:67:24
[INFO] [stdout]    |
[INFO] [stdout] 67 |         mode.validate()?;
[INFO] [stdout]    |              ----------^ the trait `From<ExecutionModeError>` is not implemented for `PipelineError`
[INFO] [stdout]    |              |
[INFO] [stdout]    |              this can't be annotated with `?` because it has type `Result<_, ExecutionModeError>`
[INFO] [stdout]    |
[INFO] [stdout] note: `PipelineError` needs to implement `From<ExecutionModeError>`
[INFO] [stdout]   --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub enum PipelineError {
[INFO] [stdout]    | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]   --> src/pipeline/builder.rs:68:56
[INFO] [stdout]    |
[INFO] [stdout] 68 |         let bundle = ModelBundle::from_pretrained(mode)?;
[INFO] [stdout]    |                      ----------------------------------^ the trait `From<ApiError>` is not implemented for `PipelineError`
[INFO] [stdout]    |                      |
[INFO] [stdout]    |                      this can't be annotated with `?` because it has type `Result<_, ApiError>`
[INFO] [stdout]    |
[INFO] [stdout] note: `PipelineError` needs to implement `From<ApiError>`
[INFO] [stdout]   --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub enum PipelineError {
[INFO] [stdout]    | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]   --> src/pipeline/builder.rs:86:29
[INFO] [stdout]    |
[INFO] [stdout] 86 |         self.mode.validate()?;
[INFO] [stdout]    |                   ----------^ the trait `From<ExecutionModeError>` is not implemented for `PipelineError`
[INFO] [stdout]    |                   |
[INFO] [stdout]    |                   this can't be annotated with `?` because it has type `Result<_, ExecutionModeError>`
[INFO] [stdout]    |
[INFO] [stdout] note: `PipelineError` needs to implement `From<ExecutionModeError>`
[INFO] [stdout]   --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub enum PipelineError {
[INFO] [stdout]    | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]   --> src/pipeline/builder.rs:95:98
[INFO] [stdout]    |
[INFO] [stdout] 95 |             SegmentationModel::with_mode(self.bundle.segmentation_path(), step as f32, self.mode)?;
[INFO] [stdout]    |             -------------------------------------------------------------------------------------^ the trait `From<ModelLoadError>` is not implemented for `PipelineError`
[INFO] [stdout]    |             |
[INFO] [stdout]    |             this can't be annotated with `?` because it has type `Result<_, ModelLoadError>`
[INFO] [stdout]    |
[INFO] [stdout] note: `PipelineError` needs to implement `From<ModelLoadError>`
[INFO] [stdout]   --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]    |
[INFO] [stdout]  5 | pub enum PipelineError {
[INFO] [stdout]    | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]    --> src/pipeline/builder.rs:100:10
[INFO] [stdout]     |
[INFO] [stdout]  96 |           let emb_model = EmbeddingModel::with_mode_and_config(
[INFO] [stdout]     |  _________________________-
[INFO] [stdout]  97 | |             self.bundle.embedding_path(),
[INFO] [stdout]  98 | |             self.mode,
[INFO] [stdout]  99 | |             &runtime,
[INFO] [stdout] 100 | |         )?;
[INFO] [stdout]     | |         -^ the trait `From<ModelLoadError>` is not implemented for `PipelineError`
[INFO] [stdout]     | |_________|
[INFO] [stdout]     |           this can't be annotated with `?` because it has type `Result<_, ModelLoadError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `PipelineError` needs to implement `From<ModelLoadError>`
[INFO] [stdout]    --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]     |
[INFO] [stdout]   5 | pub enum PipelineError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]    --> src/pipeline/builder.rs:101:67
[INFO] [stdout]     |
[INFO] [stdout] 101 |         let plda = PldaTransform::from_dir(self.bundle.plda_dir())?;
[INFO] [stdout]     |                    -----------------------------------------------^ the trait `From<PldaError>` is not implemented for `PipelineError`
[INFO] [stdout]     |                    |
[INFO] [stdout]     |                    this can't be annotated with `?` because it has type `Result<_, PldaError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `PipelineError` needs to implement `From<PldaError>`
[INFO] [stdout]    --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]     |
[INFO] [stdout]   5 | pub enum PipelineError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]    --> src/pipeline/builder.rs:115:34
[INFO] [stdout]     |
[INFO] [stdout] 115 |         Ok(pipeline.into_queued()?)
[INFO] [stdout]     |                     -------------^ the trait `From<QueueError>` is not implemented for `PipelineError`
[INFO] [stdout]     |                     |
[INFO] [stdout]     |                     this can't be annotated with `?` because it has type `Result<_, QueueError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `PipelineError` needs to implement `From<QueueError>`
[INFO] [stdout]    --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]     |
[INFO] [stdout]   5 | pub enum PipelineError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/queued.rs:116:40
[INFO] [stdout]     |
[INFO] [stdout] 116 |         let (request_tx, request_rx) = crossbeam_channel::bounded::<WorkerRequest>(64);
[INFO] [stdout]     |                                        ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/queued.rs:117:38
[INFO] [stdout]     |
[INFO] [stdout] 117 |         let (result_tx, result_rx) = crossbeam_channel::bounded::<QueuedDiarizationResult>(64);
[INFO] [stdout]     |                                      ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `QueueError` doesn't implement `std::fmt::Display`
[INFO] [stdout]    --> src/pipeline/queued.rs:215:72
[INFO] [stdout]     |
[INFO] [stdout] 215 |             Err(err) => unreachable!("unexpected terminal queue error: {err}"),
[INFO] [stdout]     |                                                                        ^^^^^ `QueueError` cannot be formatted with the default formatter
[INFO] [stdout]     |
[INFO] [stdout] help: the trait `std::fmt::Display` is not implemented for `QueueError`
[INFO] [stdout]    --> src/pipeline/queued.rs:54:1
[INFO] [stdout]     |
[INFO] [stdout]  54 | pub enum QueueError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]    --> src/pipeline.rs:223:54
[INFO] [stdout]     |
[INFO] [stdout] 223 |             plda: PldaTransform::from_dir(models_dir)?,
[INFO] [stdout]     |                   -----------------------------------^ the trait `From<PldaError>` is not implemented for `PipelineError`
[INFO] [stdout]     |                   |
[INFO] [stdout]     |                   this can't be annotated with `?` because it has type `Result<_, PldaError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `PipelineError` needs to implement `From<PldaError>`
[INFO] [stdout]    --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]     |
[INFO] [stdout]   5 | pub enum PipelineError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline.rs:428:24
[INFO] [stdout]     |
[INFO] [stdout] 428 |         let (tx, rx) = crossbeam_channel::bounded::<Array2<f32>>(64);
[INFO] [stdout]     |                        ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: `?` couldn't convert the error to `PipelineError`
[INFO] [stdout]    --> src/pipeline.rs:477:29
[INFO] [stdout]     |
[INFO] [stdout] 477 |         segmentation_result??;
[INFO] [stdout]     |         --------------------^ the trait `From<SegmentationError>` is not implemented for `PipelineError`
[INFO] [stdout]     |         |
[INFO] [stdout]     |         this can't be annotated with `?` because it has type `Result<_, SegmentationError>`
[INFO] [stdout]     |
[INFO] [stdout] note: `PipelineError` needs to implement `From<SegmentationError>`
[INFO] [stdout]    --> src/pipeline/types/error.rs:5:1
[INFO] [stdout]     |
[INFO] [stdout]   5 | pub enum PipelineError {
[INFO] [stdout]     | ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     = note: the question mark operation (`?`) implicitly performs a conversion on the error value using the `From` trait
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/batch.rs:17:30
[INFO] [stdout]    |
[INFO] [stdout] 17 |     ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]    |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/batch.rs:76:30
[INFO] [stdout]    |
[INFO] [stdout] 76 |     ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]    |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/batch.rs:199:30
[INFO] [stdout]     |
[INFO] [stdout] 199 |     ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]     |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/fbank.rs:10:88
[INFO] [stdout]    |
[INFO] [stdout] 10 |     pub(crate) fn compute_chunk_fbank(&mut self, audio: &[f32]) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]    |                                                                                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/fbank.rs:59:35
[INFO] [stdout]    |
[INFO] [stdout] 59 |     ) -> Result<Vec<Array2<f32>>, ort::Error> {
[INFO] [stdout]    |                                   ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/fbank.rs:135:21
[INFO] [stdout]     |
[INFO] [stdout] 135 |     ) -> Result<(), ort::Error> {
[INFO] [stdout]     |                     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/load/sessions.rs:306:62
[INFO] [stdout]     |
[INFO] [stdout] 306 |                         Ok::<RunOptions<HasSelectedOutputs>, ort::Error>(opts)
[INFO] [stdout]     |                                                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/run.rs:8:67
[INFO] [stdout]   |
[INFO] [stdout] 8 |     pub fn embed(&mut self, audio: &[f32]) -> Result<Array1<f32>, ort::Error> {
[INFO] [stdout]   |                                                                   ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/run.rs:19:30
[INFO] [stdout]    |
[INFO] [stdout] 19 |     ) -> Result<Array1<f32>, ort::Error> {
[INFO] [stdout]    |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/run.rs:24:87
[INFO] [stdout]    |
[INFO] [stdout] 24 |     fn embed_single(&mut self, audio: &[f32], weights: &[f32]) -> Result<Array1<f32>, ort::Error> {
[INFO] [stdout]    |                                                                                       ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:13:26
[INFO] [stdout]    |
[INFO] [stdout] 13 |     ) -> Result<Session, ort::Error> {
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:21:26
[INFO] [stdout]    |
[INFO] [stdout] 21 |     ) -> Result<Session, ort::Error> {
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:57:56
[INFO] [stdout]    |
[INFO] [stdout] 57 |     ) -> Result<ort::session::builder::SessionBuilder, ort::Error> {
[INFO] [stdout]    |                                                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:64:26
[INFO] [stdout]    |
[INFO] [stdout] 64 |     ) -> Result<Session, ort::Error> {
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/session.rs:87:26
[INFO] [stdout]    |
[INFO] [stdout] 87 |     ) -> Result<Session, ort::Error> {
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tail.rs:18:30
[INFO] [stdout]    |
[INFO] [stdout] 18 |     ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]    |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tail.rs:77:30
[INFO] [stdout]    |
[INFO] [stdout] 77 |     ) -> Result<Array1<f32>, ort::Error> {
[INFO] [stdout]    |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding/tail.rs:138:30
[INFO] [stdout]     |
[INFO] [stdout] 138 |     ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]     |                              ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]  --> src/inference/embedding/tensor.rs:9:24
[INFO] [stdout]   |
[INFO] [stdout] 9 | ) -> Result<&'a [f32], ort::Error> {
[INFO] [stdout]   |                        ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]   |
[INFO] [stdout]   = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:20:26
[INFO] [stdout]    |
[INFO] [stdout] 20 | ) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]    |                          ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:38:28
[INFO] [stdout]    |
[INFO] [stdout] 38 | ) -> Result<&'a mut [f32], ort::Error> {
[INFO] [stdout]    |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:57:28
[INFO] [stdout]    |
[INFO] [stdout] 57 | ) -> Result<&'a mut [f32], ort::Error> {
[INFO] [stdout]    |                            ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/embedding/tensor.rs:67:45
[INFO] [stdout]    |
[INFO] [stdout] 67 | ) -> Result<RunOptions<HasSelectedOutputs>, ort::Error> {
[INFO] [stdout]    |                                             ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/embedding.rs:189:51
[INFO] [stdout]     |
[INFO] [stdout] 189 |     pub fn reset_session(&mut self) -> Result<(), ort::Error> {
[INFO] [stdout]     |                                                   ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/segmentation/run.rs:96:70
[INFO] [stdout]    |
[INFO] [stdout] 96 |     pub fn run(&mut self, audio: &[f32]) -> Result<Vec<Array2<f32>>, ort::Error> {
[INFO] [stdout]    |                                                                      ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:124:69
[INFO] [stdout]     |
[INFO] [stdout] 124 |     fn run_window(&mut self, window: &[f32]) -> Result<Array2<f32>, ort::Error> {
[INFO] [stdout]     |                                                                     ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation/run.rs:151:77
[INFO] [stdout]     |
[INFO] [stdout] 151 |     fn run_batch(&mut self, windows: &[&[f32]]) -> Result<Vec<Array2<f32>>, ort::Error> {
[INFO] [stdout]     |                                                                             ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:21:17
[INFO] [stdout]    |
[INFO] [stdout] 21 |     Ort(#[from] ort::Error),
[INFO] [stdout]    |                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]   --> src/inference/segmentation.rs:24:26
[INFO] [stdout]    |
[INFO] [stdout] 24 |     Disconnected(#[from] crossbeam_channel::SendError<Array2<f32>>),
[INFO] [stdout]    |                          ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation.rs:210:81
[INFO] [stdout]     |
[INFO] [stdout] 210 |     fn build_session(model_path: &Path, mode: ExecutionMode) -> Result<Session, ort::Error> {
[INFO] [stdout]     |                                                                                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference/segmentation.rs:252:51
[INFO] [stdout]     |
[INFO] [stdout] 252 |     pub fn reset_session(&mut self) -> Result<(), ort::Error> {
[INFO] [stdout]     |                                                   ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference.rs:136:17
[INFO] [stdout]     |
[INFO] [stdout] 136 |     Ort(#[from] ort::Error),
[INFO] [stdout]     |                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference.rs:226:35
[INFO] [stdout]     |
[INFO] [stdout] 226 | impl From<ExecutionModeError> for ort::Error {
[INFO] [stdout]     |                                   ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]    --> src/inference.rs:239:29
[INFO] [stdout]     |
[INFO] [stdout] 239 | ) -> Result<SessionBuilder, ort::Error> {
[INFO] [stdout]     |                             ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `ort` in this scope
[INFO] [stdout]   --> src/pipeline/types/error.rs:11:17
[INFO] [stdout]    |
[INFO] [stdout] 11 |     Ort(#[from] ort::Error),
[INFO] [stdout]    |                 ^^^ use of unresolved module or unlinked crate `ort`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `ort`, use `cargo add ort` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]   --> src/pipeline/concurrent.rs:62:19
[INFO] [stdout]    |
[INFO] [stdout] 62 |         receiver: crossbeam_channel::Receiver<Array2<f32>>,
[INFO] [stdout]    |                   ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]    |
[INFO] [stdout]    = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/concurrent.rs:144:19
[INFO] [stdout]     |
[INFO] [stdout] 144 |         receiver: crossbeam_channel::Receiver<Array2<f32>>,
[INFO] [stdout]     |                   ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0433]: cannot find module or crate `crossbeam_channel` in this scope
[INFO] [stdout]    --> src/pipeline/concurrent.rs:315:19
[INFO] [stdout]     |
[INFO] [stdout] 315 |         receiver: crossbeam_channel::Receiver<Array2<f32>>,
[INFO] [stdout]     |                   ^^^^^^^^^^^^^^^^^ use of unresolved module or unlinked crate `crossbeam_channel`
[INFO] [stdout]     |
[INFO] [stdout]     = help: if you wanted to use a crate named `crossbeam_channel`, use `cargo add crossbeam_channel` to add it to your `Cargo.toml`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0277, E0432, E0433, E0599.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0277`.
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `speakrs` (lib) due to 170 previous errors
[INFO] running `Command { std: "docker" "inspect" "727bd55209cd204e535f196e61d98962106d9d5b1deb97fde21030ec1b394f57", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "727bd55209cd204e535f196e61d98962106d9d5b1deb97fde21030ec1b394f57", kill_on_drop: false }`
[INFO] [stdout] 727bd55209cd204e535f196e61d98962106d9d5b1deb97fde21030ec1b394f57
