[INFO] cloning repository https://github.com/Xzdes/RustyASG
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/Xzdes/RustyASG" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FXzdes%2FRustyASG", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FXzdes%2FRustyASG'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] e5a02604143b1baa7a639baefd2999957357aa5e
[INFO] checking Xzdes/RustyASG against master#4cf5f9580233c36f6bc8db76e282ba8a1c1ea491 for pr-154585
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FXzdes%2FRustyASG" "/workspace/builds/worker-0-tc1/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-0-tc1/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/Xzdes/RustyASG
[INFO] removed 0 missing examples
[INFO] finished tweaking git repo https://github.com/Xzdes/RustyASG
[INFO] tweaked toml for git repo https://github.com/Xzdes/RustyASG written to /workspace/builds/worker-0-tc1/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/Xzdes/RustyASG on toolchain 4cf5f9580233c36f6bc8db76e282ba8a1c1ea491
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+4cf5f9580233c36f6bc8db76e282ba8a1c1ea491" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/Xzdes/RustyASG 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" "+4cf5f9580233c36f6bc8db76e282ba8a1c1ea491" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr]  Downloading crates ...
[INFO] [stderr]   Downloaded async-fs v2.1.3
[INFO] [stderr]   Downloaded wit-bindgen v0.45.0
[INFO] [stderr]   Downloaded immutable-chunkmap v2.1.0
[INFO] [stderr]   Downloaded gethostname v1.0.2
[INFO] [stderr]   Downloaded moxcms v0.7.5
[INFO] [stderr]   Downloaded wasi v0.14.3+wasi-0.2.4
[INFO] [stderr]   Downloaded petgraph v0.8.2
[INFO] [stderr]   Downloaded pxfm v0.1.20
[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" "+4cf5f9580233c36f6bc8db76e282ba8a1c1ea491" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] 03b3d8206d8f403e8916b96de96873536a2b1732a08d9f4b95724555cda138d9
[INFO] running `Command { std: "docker" "start" "-a" "03b3d8206d8f403e8916b96de96873536a2b1732a08d9f4b95724555cda138d9", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "03b3d8206d8f403e8916b96de96873536a2b1732a08d9f4b95724555cda138d9", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "03b3d8206d8f403e8916b96de96873536a2b1732a08d9f4b95724555cda138d9", kill_on_drop: false }`
[INFO] [stdout] 03b3d8206d8f403e8916b96de96873536a2b1732a08d9f4b95724555cda138d9
[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_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-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" "+4cf5f9580233c36f6bc8db76e282ba8a1c1ea491" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] ce3f4bf9ff59c8802047fb8cd554b12956fd3b648bff1906772715cd2fcebb2b
[INFO] running `Command { std: "docker" "start" "-a" "ce3f4bf9ff59c8802047fb8cd554b12956fd3b648bff1906772715cd2fcebb2b", kill_on_drop: false }`
[INFO] [stderr]    Compiling proc-macro2 v1.0.101
[INFO] [stderr]    Compiling libc v0.2.175
[INFO] [stderr]     Checking bitflags v2.9.3
[INFO] [stderr]    Compiling rustix v1.0.8
[INFO] [stderr]     Checking log v0.4.27
[INFO] [stderr]     Checking linux-raw-sys v0.9.4
[INFO] [stderr]     Checking libloading v0.8.8
[INFO] [stderr]    Compiling serde v1.0.219
[INFO] [stderr]    Compiling indexmap v2.11.0
[INFO] [stderr]    Compiling toml_datetime v0.6.11
[INFO] [stderr]    Compiling winnow v0.7.13
[INFO] [stderr]    Compiling crossbeam-utils v0.8.21
[INFO] [stderr]    Compiling wayland-sys v0.31.7
[INFO] [stderr]    Compiling cc v1.2.34
[INFO] [stderr]    Compiling libm v0.2.15
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]     Checking dlib v0.5.2
[INFO] [stderr]    Compiling quick-xml v0.37.5
[INFO] [stderr]    Compiling wayland-client v0.31.11
[INFO] [stderr]     Checking tracing-core v0.1.34
[INFO] [stderr]    Compiling xml-rs v0.8.27
[INFO] [stderr]     Checking rustix v0.38.44
[INFO] [stderr]     Checking ab_glyph v0.2.31
[INFO] [stderr]     Checking immutable-chunkmap v2.1.0
[INFO] [stderr]     Checking xkbcommon-dl v0.4.2
[INFO] [stderr]     Checking codespan-reporting v0.11.1
[INFO] [stderr]     Checking concurrent-queue v2.5.0
[INFO] [stderr]     Checking event-listener v5.4.1
[INFO] [stderr]     Checking async-executor v1.13.3
[INFO] [stderr]    Compiling quote v1.0.40
[INFO] [stderr]    Compiling gl_generator v0.14.0
[INFO] [stderr]     Checking miniz_oxide v0.8.9
[INFO] [stderr]     Checking event-listener-strategy v0.5.4
[INFO] [stderr]     Checking async-channel v2.5.0
[INFO] [stderr]     Checking async-lock v3.4.1
[INFO] [stderr]     Checking async-broadcast v0.7.2
[INFO] [stderr]     Checking crc32fast v1.5.0
[INFO] [stderr]    Compiling syn v2.0.106
[INFO] [stderr]    Compiling wgpu-hal v0.19.5
[INFO] [stderr]     Checking accesskit_consumer v0.24.3
[INFO] [stderr]     Checking blocking v1.6.2
[INFO] [stderr]     Checking form_urlencoded v1.2.2
[INFO] [stderr]     Checking gpu-alloc-types v0.3.0
[INFO] [stderr]     Checking spirv v0.3.0+sdk-1.3.268.0
[INFO] [stderr]     Checking gpu-descriptor-types v0.1.2
[INFO] [stderr]    Compiling glutin v0.32.3
[INFO] [stderr]     Checking libloading v0.7.4
[INFO] [stderr]    Compiling wayland-scanner v0.31.7
[INFO] [stderr]    Compiling glutin_egl_sys v0.7.1
[INFO] [stderr]    Compiling glutin_glx_sys v0.6.1
[INFO] [stderr]     Checking async-fs v2.1.3
[INFO] [stderr]     Checking unicode-xid v0.2.6
[INFO] [stderr]     Checking gpu-alloc v0.6.0
[INFO] [stderr]     Checking flate2 v1.1.2
[INFO] [stderr]     Checking ash v0.37.3+1.3.251
[INFO] [stderr]     Checking fdeflate v0.3.7
[INFO] [stderr]    Compiling wayland-backend v0.3.11
[INFO] [stderr]    Compiling wgpu-core v0.19.4
[INFO] [stderr]     Checking wgpu-types v0.19.2
[INFO] [stderr]     Checking glow v0.13.1
[INFO] [stderr]     Checking pxfm v0.1.20
[INFO] [stderr]     Checking anstyle v1.0.11
[INFO] [stderr]     Checking renderdoc-sys v1.1.0
[INFO] [stderr]     Checking profiling v1.0.17
[INFO] [stderr]    Compiling serde_json v1.0.143
[INFO] [stderr]     Checking anstream v0.6.20
[INFO] [stderr]     Checking num-integer v0.1.46
[INFO] [stderr]     Checking num-complex v0.4.6
[INFO] [stderr]     Checking png v0.18.0
[INFO] [stderr]    Compiling wgpu v0.19.4
[INFO] [stderr]    Compiling litrs v0.4.2
[INFO] [stderr]    Compiling toml_edit v0.22.27
[INFO] [stderr]     Checking clap_builder v4.5.47
[INFO] [stderr]     Checking fixedbitset v0.5.7
[INFO] [stderr]     Checking approx v0.5.1
[INFO] [stderr]     Checking petgraph v0.8.2
[INFO] [stderr]     Checking getrandom v0.3.3
[INFO] [stderr]     Checking getrandom v0.2.16
[INFO] [stderr]     Checking parking_lot_core v0.9.11
[INFO] [stderr]     Checking xdg-home v1.3.0
[INFO] [stderr]     Checking nix v0.29.0
[INFO] [stderr]     Checking memmap2 v0.9.8
[INFO] [stderr]     Checking x11-dl v2.21.0
[INFO] [stderr]     Checking khronos-egl v6.0.0
[INFO] [stderr]     Checking ahash v0.8.12
[INFO] [stderr]     Checking rand_core v0.9.3
[INFO] [stderr]     Checking rand_core v0.6.4
[INFO] [stderr]    Compiling document-features v0.2.11
[INFO] [stderr]     Checking parking_lot v0.12.4
[INFO] [stderr]     Checking rand_chacha v0.9.0
[INFO] [stderr]     Checking rand_chacha v0.3.1
[INFO] [stderr]     Checking hashbrown v0.14.5
[INFO] [stderr]     Checking rand v0.8.5
[INFO] [stderr]     Checking rand v0.9.2
[INFO] [stderr]     Checking futures-intrusive v0.5.0
[INFO] [stderr]     Checking moxcms v0.7.5
[INFO] [stderr]     Checking gpu-descriptor v0.2.4
[INFO] [stderr]     Checking rand_distr v0.4.3
[INFO] [stderr]     Checking polling v3.10.0
[INFO] [stderr]     Checking gethostname v1.0.2
[INFO] [stderr]     Checking async-io v2.5.0
[INFO] [stderr]     Checking x11rb v0.13.2
[INFO] [stderr]    Compiling proc-macro-crate v3.3.0
[INFO] [stderr]     Checking wayland-csd-frame v0.3.0
[INFO] [stderr]    Compiling zvariant_utils v2.1.0
[INFO] [stderr]    Compiling synstructure v0.13.2
[INFO] [stderr]     Checking arboard v3.6.1
[INFO] [stderr]    Compiling serde_derive v1.0.219
[INFO] [stderr]    Compiling enumflags2_derive v0.7.12
[INFO] [stderr]    Compiling zvariant_derive v4.2.0
[INFO] [stderr]    Compiling thiserror-impl v1.0.69
[INFO] [stderr]    Compiling bytemuck_derive v1.10.1
[INFO] [stderr]    Compiling zerovec-derive v0.11.1
[INFO] [stderr]    Compiling tracing-attributes v0.1.30
[INFO] [stderr]    Compiling displaydoc v0.2.5
[INFO] [stderr]    Compiling futures-macro v0.3.31
[INFO] [stderr]    Compiling serde_repr v0.1.20
[INFO] [stderr]    Compiling async-trait v0.1.89
[INFO] [stderr]    Compiling zbus_macros v4.4.0
[INFO] [stderr]    Compiling zerofrom-derive v0.1.6
[INFO] [stderr]    Compiling yoke-derive v0.8.0
[INFO] [stderr]     Checking wayland-protocols v0.32.9
[INFO] [stderr]     Checking wayland-cursor v0.31.11
[INFO] [stderr]    Compiling thiserror-impl v2.0.16
[INFO] [stderr]    Compiling clap_derive v4.5.47
[INFO] [stderr]     Checking futures-util v0.3.31
[INFO] [stderr]     Checking tracing v0.1.41
[INFO] [stderr]     Checking bytemuck v1.23.2
[INFO] [stderr]     Checking zerofrom v0.1.6
[INFO] [stderr]     Checking thiserror v1.0.69
[INFO] [stderr]     Checking calloop v0.13.0
[INFO] [stderr]     Checking naga v0.19.2
[INFO] [stderr]     Checking yoke v0.8.0
[INFO] [stderr]     Checking thiserror v2.0.16
[INFO] [stderr]     Checking tiny-skia-path v0.11.4
[INFO] [stderr]     Checking emath v0.29.1
[INFO] [stderr]     Checking image v0.25.8
[INFO] [stderr]     Checking zerovec v0.11.4
[INFO] [stderr]     Checking zerotrie v0.2.2
[INFO] [stderr]     Checking ecolor v0.29.1
[INFO] [stderr]     Checking calloop-wayland-source v0.3.0
[INFO] [stderr]     Checking epaint v0.29.1
[INFO] [stderr]     Checking clap v4.5.47
[INFO] [stderr]     Checking tiny-skia v0.11.4
[INFO] [stderr]     Checking tinystr v0.8.1
[INFO] [stderr]     Checking potential_utf v0.1.3
[INFO] [stderr]     Checking egui v0.29.1
[INFO] [stderr]     Checking icu_collections v2.0.0
[INFO] [stderr]     Checking icu_locale_core v2.0.0
[INFO] [stderr]     Checking icu_provider v2.0.0
[INFO] [stderr]     Checking icu_normalizer v2.0.0
[INFO] [stderr]     Checking icu_properties v2.0.1
[INFO] [stderr]     Checking idna_adapter v1.2.1
[INFO] [stderr]     Checking idna v1.1.0
[INFO] [stderr]     Checking enumflags2 v0.7.12
[INFO] [stderr]     Checking quick-xml v0.30.0
[INFO] [stderr]     Checking url v2.5.7
[INFO] [stderr]     Checking ndarray v0.16.1
[INFO] [stderr]     Checking zvariant v4.2.0
[INFO] [stderr]     Checking egui_glow v0.29.1
[INFO] [stderr]     Checking webbrowser v1.0.5
[INFO] [stderr]     Checking safetensors v0.4.5
[INFO] [stderr]     Checking wayland-protocols-wlr v0.3.9
[INFO] [stderr]     Checking wayland-protocols-plasma v0.3.9
[INFO] [stderr]     Checking zbus_names v3.0.0
[INFO] [stderr]     Checking zbus_xml v4.0.0
[INFO] [stderr]     Checking zbus v4.4.0
[INFO] [stderr]     Checking zbus-lockstep v0.4.4
[INFO] [stderr]     Checking smithay-client-toolkit v0.19.2
[INFO] [stderr]     Checking ndarray-rand v0.15.0
[INFO] [stderr]     Checking sctk-adwaita v0.10.1
[INFO] [stderr]     Checking smithay-clipboard v0.7.2
[INFO] [stderr]     Checking winit v0.30.12
[INFO] [stderr]    Compiling zbus-lockstep-macros v0.4.4
[INFO] [stderr]     Checking atspi-common v0.6.0
[INFO] [stderr]     Checking glutin-winit v0.5.0
[INFO] [stderr]     Checking atspi-proxies v0.6.0
[INFO] [stderr]     Checking accesskit_atspi_common v0.9.3
[INFO] [stderr]     Checking atspi-connection v0.6.0
[INFO] [stderr]     Checking atspi v0.22.0
[INFO] [stderr]     Checking accesskit_unix v0.12.3
[INFO] [stderr]     Checking accesskit_winit v0.22.4
[INFO] [stderr]     Checking egui-winit v0.29.1
[INFO] [stderr]     Checking eframe v0.29.1
[INFO] [stderr]     Checking rustyasg v0.2.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused imports: `NodeType` and `Value`
[INFO] [stdout]   --> src/nn/attention.rs:20:18
[INFO] [stdout]    |
[INFO] [stdout] 20 | use crate::asg::{NodeType, Value};
[INFO] [stdout]    |                  ^^^^^^^^  ^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/dataset.rs:314:33
[INFO] [stdout]     |
[INFO] [stdout] 314 |             let mut rng = rand::thread_rng();
[INFO] [stdout]     |                                 ^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(deprecated)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]   --> src/data/sampler.rs:94:33
[INFO] [stdout]    |
[INFO] [stdout] 94 |             let mut rng = rand::thread_rng();
[INFO] [stdout]    |                                 ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/sampler.rs:294:19
[INFO] [stdout]     |
[INFO] [stdout] 294 |             rand::thread_rng().random()
[INFO] [stdout]     |                   ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/transforms.rs:158:33
[INFO] [stdout]     |
[INFO] [stdout] 158 |             let mut rng = rand::thread_rng();
[INFO] [stdout]     |                                 ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/dataset.rs:314:33
[INFO] [stdout]     |
[INFO] [stdout] 314 |             let mut rng = rand::thread_rng();
[INFO] [stdout]     |                                 ^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(deprecated)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]   --> src/data/sampler.rs:94:33
[INFO] [stdout]    |
[INFO] [stdout] 94 |             let mut rng = rand::thread_rng();
[INFO] [stdout]    |                                 ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/sampler.rs:294:19
[INFO] [stdout]     |
[INFO] [stdout] 294 |             rand::thread_rng().random()
[INFO] [stdout]     |                   ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: use of deprecated function `rand::thread_rng`: Renamed to `rng`
[INFO] [stdout]    --> src/data/transforms.rs:158:33
[INFO] [stdout]     |
[INFO] [stdout] 158 |             let mut rng = rand::thread_rng();
[INFO] [stdout]     |                                 ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Sampler`
[INFO] [stdout]  --> src/data/dataloader.rs:6:51
[INFO] [stdout]   |
[INFO] [stdout] 6 | use super::sampler::{BatchSampler, RandomSampler, Sampler, SequentialSampler};
[INFO] [stdout]   |                                                   ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/data/transforms.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `groups`
[INFO] [stdout]    --> src/analysis/shape_inference.rs:261:74
[INFO] [stdout]     |
[INFO] [stdout] 261 |             NodeType::Conv2d { input, weight, stride, padding, dilation, groups, .. } => {
[INFO] [stdout]     |                                                                          ^^^^^^ help: try ignoring the field: `groups: _`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Sampler`
[INFO] [stdout]  --> src/data/dataloader.rs:6:51
[INFO] [stdout]   |
[INFO] [stdout] 6 | use super::sampler::{BatchSampler, RandomSampler, Sampler, SequentialSampler};
[INFO] [stdout]   |                                                   ^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/data/transforms.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `groups`
[INFO] [stdout]    --> src/analysis/shape_inference.rs:261:74
[INFO] [stdout]     |
[INFO] [stdout] 261 |             NodeType::Conv2d { input, weight, stride, padding, dilation, groups, .. } => {
[INFO] [stdout]     |                                                                          ^^^^^^ help: try ignoring the field: `groups: _`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `minus_one`
[INFO] [stdout]    --> src/autograd/mod.rs:384:21
[INFO] [stdout]     |
[INFO] [stdout] 384 |                 let minus_one = self.lit_scalar(-1.0);
[INFO] [stdout]     |                     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_minus_one`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `in_channels`
[INFO] [stdout]    --> src/nn/conv.rs:225:9
[INFO] [stdout]     |
[INFO] [stdout] 225 |         in_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_in_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_channels`
[INFO] [stdout]    --> src/nn/conv.rs:226:9
[INFO] [stdout]     |
[INFO] [stdout] 226 |         out_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_size`
[INFO] [stdout]    --> src/nn/conv.rs:227:9
[INFO] [stdout]     |
[INFO] [stdout] 227 |         kernel_size: (usize, usize),
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]    --> src/nn/positional.rs:110:32
[INFO] [stdout]     |
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |                                ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_offset`
[INFO] [stdout]    --> src/nn/positional.rs:379:39
[INFO] [stdout]     |
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |                                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_offset`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sin_tensor`
[INFO] [stdout]    --> src/nn/positional.rs:400:13
[INFO] [stdout]     |
[INFO] [stdout] 400 |         let sin_tensor = Tensor::new_literal(
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sin_tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weight_out_channels`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:695:10
[INFO] [stdout]     |
[INFO] [stdout] 695 |     let (weight_out_channels, out_channels_per_group, kernel_h, kernel_w) = weight_arr.dim();
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weight_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_area`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |     let kernel_area = (kh * kw) as f32;
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_area`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_n`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:10
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_c`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:18
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |                  ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_c`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `map_result`
[INFO] [stdout]     --> src/runtime/wgpu_backend.rs:1239:17
[INFO] [stdout]      |
[INFO] [stdout] 1239 |             let map_result = pollster::block_on(receiver.receive())
[INFO] [stdout]      |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_map_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `minus_one`
[INFO] [stdout]    --> src/autograd/mod.rs:384:21
[INFO] [stdout]     |
[INFO] [stdout] 384 |                 let minus_one = self.lit_scalar(-1.0);
[INFO] [stdout]     |                     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_minus_one`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing
[INFO] [stdout]    --> src/data/dataloader.rs:123:17
[INFO] [stdout]     |
[INFO] [stdout] 123 |     pub fn iter(&self) -> DataLoaderIterator {
[INFO] [stdout]     |                 ^^^^^     ^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 the lifetime is elided here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: use `'_` for type paths
[INFO] [stdout]     |
[INFO] [stdout] 123 |     pub fn iter(&self) -> DataLoaderIterator<'_> {
[INFO] [stdout]     |                                             ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `in_channels`
[INFO] [stdout]    --> src/nn/conv.rs:225:9
[INFO] [stdout]     |
[INFO] [stdout] 225 |         in_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_in_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_channels`
[INFO] [stdout]    --> src/nn/conv.rs:226:9
[INFO] [stdout]     |
[INFO] [stdout] 226 |         out_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_size`
[INFO] [stdout]    --> src/nn/conv.rs:227:9
[INFO] [stdout]     |
[INFO] [stdout] 227 |         kernel_size: (usize, usize),
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/conv.rs:313:13
[INFO] [stdout]     |
[INFO] [stdout] 313 |         let output = conv.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/conv.rs:338:13
[INFO] [stdout]     |
[INFO] [stdout] 338 |         let output = deconv.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:168:13
[INFO] [stdout]     |
[INFO] [stdout] 168 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:185:13
[INFO] [stdout]     |
[INFO] [stdout] 185 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:195:13
[INFO] [stdout]     |
[INFO] [stdout] 195 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]    --> src/nn/positional.rs:110:32
[INFO] [stdout]     |
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |                                ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_offset`
[INFO] [stdout]    --> src/nn/positional.rs:379:39
[INFO] [stdout]     |
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |                                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_offset`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sin_tensor`
[INFO] [stdout]    --> src/nn/positional.rs:400:13
[INFO] [stdout]     |
[INFO] [stdout] 400 |         let sin_tensor = Tensor::new_literal(
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sin_tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around closure body
[INFO] [stdout]   --> examples/xor.rs:91:40
[INFO] [stdout]    |
[INFO] [stdout] 91 |     let w1: Vec<f32> = (0..16).map(|i| ((i as f32 * 0.1).sin() * 0.5)).collect();
[INFO] [stdout]    |                                        ^                            ^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_parens)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 91 -     let w1: Vec<f32> = (0..16).map(|i| ((i as f32 * 0.1).sin() * 0.5)).collect();
[INFO] [stdout] 91 +     let w1: Vec<f32> = (0..16).map(|i| (i as f32 * 0.1).sin() * 0.5).collect();
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unnecessary parentheses around closure body
[INFO] [stdout]   --> examples/xor.rs:93:39
[INFO] [stdout]    |
[INFO] [stdout] 93 |     let w2: Vec<f32> = (0..8).map(|i| ((i as f32 * 0.2).cos() * 0.5)).collect();
[INFO] [stdout]    |                                       ^                            ^
[INFO] [stdout]    |
[INFO] [stdout] help: remove these parentheses
[INFO] [stdout]    |
[INFO] [stdout] 93 -     let w2: Vec<f32> = (0..8).map(|i| ((i as f32 * 0.2).cos() * 0.5)).collect();
[INFO] [stdout] 93 +     let w2: Vec<f32> = (0..8).map(|i| (i as f32 * 0.2).cos() * 0.5).collect();
[INFO] [stdout]    |
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_output_id`
[INFO] [stdout]    --> examples/xor.rs:166:17
[INFO] [stdout]     |
[INFO] [stdout] 166 |         for (i, grad_output_id) in grad_graph.outputs.iter().enumerate() {
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_output_id`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weight_out_channels`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:695:10
[INFO] [stdout]     |
[INFO] [stdout] 695 |     let (weight_out_channels, out_channels_per_group, kernel_h, kernel_w) = weight_arr.dim();
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weight_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_area`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |     let kernel_area = (kh * kw) as f32;
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_area`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_n`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:10
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_c`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:18
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |                  ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_c`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `labels`
[INFO] [stdout]    --> examples/pattern_recognition.rs:371:5
[INFO] [stdout]     |
[INFO] [stdout] 371 |     labels: &ArrayD<f32>,
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_labels`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `map_result`
[INFO] [stdout]     --> src/runtime/wgpu_backend.rs:1239:17
[INFO] [stdout]      |
[INFO] [stdout] 1239 |             let map_result = pollster::block_on(receiver.receive())
[INFO] [stdout]      |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_map_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `test_labels`
[INFO] [stdout]    --> examples/transformer_classifier.rs:139:21
[INFO] [stdout]     |
[INFO] [stdout] 139 |     let (test_seqs, test_labels) = generate_sequence_data(num_test);
[INFO] [stdout]     |                     ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_labels`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `test_labels`
[INFO] [stdout]    --> examples/mnist.rs:134:23
[INFO] [stdout]     |
[INFO] [stdout] 134 |     let (test_images, test_labels) = generate_synthetic_mnist(num_test);
[INFO] [stdout]     |                       ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_test_labels`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: hiding a lifetime that's elided elsewhere is confusing
[INFO] [stdout]    --> src/data/dataloader.rs:123:17
[INFO] [stdout]     |
[INFO] [stdout] 123 |     pub fn iter(&self) -> DataLoaderIterator {
[INFO] [stdout]     |                 ^^^^^     ^^^^^^^^^^^^^^^^^^ the same lifetime is hidden here
[INFO] [stdout]     |                 |
[INFO] [stdout]     |                 the lifetime is elided here
[INFO] [stdout]     |
[INFO] [stdout]     = help: the same lifetime is referred to in inconsistent ways, making the signature confusing
[INFO] [stdout]     = note: `#[warn(mismatched_lifetime_syntaxes)]` on by default
[INFO] [stdout] help: use `'_` for type paths
[INFO] [stdout]     |
[INFO] [stdout] 123 |     pub fn iter(&self) -> DataLoaderIterator<'_> {
[INFO] [stdout]     |                                             ++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `ELU`, `GELU`, `LeakyReLU`, `SiLU`, `Sigmoid`, `Softmax`, `Softplus`, `Swish`, and `Tanh`
[INFO] [stdout]   --> src/nn/mod.rs:77:23
[INFO] [stdout]    |
[INFO] [stdout] 77 | pub use activations::{ELU, GELU, LeakyReLU, ReLU, SiLU, Sigmoid, Softmax, Softplus, Swish, Tanh};
[INFO] [stdout]    |                       ^^^  ^^^^  ^^^^^^^^^        ^^^^  ^^^^^^^  ^^^^^^^  ^^^^^^^^  ^^^^^  ^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Conv2dConfig`, `Conv2d`, and `ConvTranspose2d`
[INFO] [stdout]   --> src/nn/mod.rs:80:16
[INFO] [stdout]    |
[INFO] [stdout] 80 | pub use conv::{Conv2d, Conv2dConfig, ConvTranspose2d};
[INFO] [stdout]    |                ^^^^^^  ^^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2d`, `AvgPool2d`, `GlobalAvgPool2d`, and `MaxPool2d`
[INFO] [stdout]   --> src/nn/mod.rs:83:19
[INFO] [stdout]    |
[INFO] [stdout] 83 | pub use pooling::{AdaptiveAvgPool2d, AvgPool2d, GlobalAvgPool2d, MaxPool2d};
[INFO] [stdout]    |                   ^^^^^^^^^^^^^^^^^  ^^^^^^^^^  ^^^^^^^^^^^^^^^  ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AttentionMask`, `MultiHeadAttentionConfig`, `create_causal_mask`, and `create_padding_mask_from_ids`
[INFO] [stdout]   --> src/nn/mod.rs:87:25
[INFO] [stdout]    |
[INFO] [stdout] 87 |     MultiHeadAttention, MultiHeadAttentionConfig, AttentionMask,
[INFO] [stdout]    |                         ^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^
[INFO] [stdout] 88 |     create_causal_mask, create_padding_mask_from_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `batchnorm::BatchNorm`
[INFO] [stdout]   --> src/nn/mod.rs:90:9
[INFO] [stdout]    |
[INFO] [stdout] 90 | pub use batchnorm::BatchNorm;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Dropout` and `SpatialDropout`
[INFO] [stdout]   --> src/nn/mod.rs:91:19
[INFO] [stdout]    |
[INFO] [stdout] 91 | pub use dropout::{Dropout, SpatialDropout};
[INFO] [stdout]    |                   ^^^^^^^  ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `embedding::Embedding`
[INFO] [stdout]   --> src/nn/mod.rs:92:9
[INFO] [stdout]    |
[INFO] [stdout] 92 | pub use embedding::Embedding;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `ALiBi`, `LearnedPositionalEmbedding`, `RotaryPositionEmbedding`, `SinusoidalPositionalEncoding`, and `create_position_ids`
[INFO] [stdout]   --> src/nn/mod.rs:97:5
[INFO] [stdout]    |
[INFO] [stdout] 97 |     LearnedPositionalEmbedding, SinusoidalPositionalEncoding, create_position_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 98 |     RotaryPositionEmbedding, ALiBi,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `NodeType` and `Value`
[INFO] [stdout]   --> src/nn/attention.rs:20:18
[INFO] [stdout]    |
[INFO] [stdout] 20 | use crate::asg::{NodeType, Value};
[INFO] [stdout]    |                  ^^^^^^^^  ^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `ELU`, `GELU`, `LeakyReLU`, `SiLU`, `Sigmoid`, `Softmax`, `Softplus`, `Swish`, and `Tanh`
[INFO] [stdout]   --> src/nn/mod.rs:77:23
[INFO] [stdout]    |
[INFO] [stdout] 77 | pub use activations::{ELU, GELU, LeakyReLU, ReLU, SiLU, Sigmoid, Softmax, Softplus, Swish, Tanh};
[INFO] [stdout]    |                       ^^^  ^^^^  ^^^^^^^^^        ^^^^  ^^^^^^^  ^^^^^^^  ^^^^^^^^  ^^^^^  ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Conv2dConfig`, `Conv2d`, and `ConvTranspose2d`
[INFO] [stdout]   --> src/nn/mod.rs:80:16
[INFO] [stdout]    |
[INFO] [stdout] 80 | pub use conv::{Conv2d, Conv2dConfig, ConvTranspose2d};
[INFO] [stdout]    |                ^^^^^^  ^^^^^^^^^^^^  ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2d`, `AvgPool2d`, `GlobalAvgPool2d`, and `MaxPool2d`
[INFO] [stdout]   --> src/nn/mod.rs:83:19
[INFO] [stdout]    |
[INFO] [stdout] 83 | pub use pooling::{AdaptiveAvgPool2d, AvgPool2d, GlobalAvgPool2d, MaxPool2d};
[INFO] [stdout]    |                   ^^^^^^^^^^^^^^^^^  ^^^^^^^^^  ^^^^^^^^^^^^^^^  ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AttentionMask`, `MultiHeadAttentionConfig`, `create_causal_mask`, and `create_padding_mask_from_ids`
[INFO] [stdout]   --> src/nn/mod.rs:87:25
[INFO] [stdout]    |
[INFO] [stdout] 87 |     MultiHeadAttention, MultiHeadAttentionConfig, AttentionMask,
[INFO] [stdout]    |                         ^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^
[INFO] [stdout] 88 |     create_causal_mask, create_padding_mask_from_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `batchnorm::BatchNorm`
[INFO] [stdout]   --> src/nn/mod.rs:90:9
[INFO] [stdout]    |
[INFO] [stdout] 90 | pub use batchnorm::BatchNorm;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Dropout` and `SpatialDropout`
[INFO] [stdout]   --> src/nn/mod.rs:91:19
[INFO] [stdout]    |
[INFO] [stdout] 91 | pub use dropout::{Dropout, SpatialDropout};
[INFO] [stdout]    |                   ^^^^^^^  ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `embedding::Embedding`
[INFO] [stdout]   --> src/nn/mod.rs:92:9
[INFO] [stdout]    |
[INFO] [stdout] 92 | pub use embedding::Embedding;
[INFO] [stdout]    |         ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `ALiBi`, `LearnedPositionalEmbedding`, `RotaryPositionEmbedding`, `SinusoidalPositionalEncoding`, and `create_position_ids`
[INFO] [stdout]   --> src/nn/mod.rs:97:5
[INFO] [stdout]    |
[INFO] [stdout] 97 |     LearnedPositionalEmbedding, SinusoidalPositionalEncoding, create_position_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 98 |     RotaryPositionEmbedding, ALiBi,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^  ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `groups`
[INFO] [stdout]    --> src/analysis/shape_inference.rs:261:74
[INFO] [stdout]     |
[INFO] [stdout] 261 |             NodeType::Conv2d { input, weight, stride, padding, dilation, groups, .. } => {
[INFO] [stdout]     |                                                                          ^^^^^^ help: try ignoring the field: `groups: _`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `groups`
[INFO] [stdout]    --> src/analysis/shape_inference.rs:261:74
[INFO] [stdout]     |
[INFO] [stdout] 261 |             NodeType::Conv2d { input, weight, stride, padding, dilation, groups, .. } => {
[INFO] [stdout]     |                                                                          ^^^^^^ help: try ignoring the field: `groups: _`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `minus_one`
[INFO] [stdout]    --> src/autograd/mod.rs:384:21
[INFO] [stdout]     |
[INFO] [stdout] 384 |                 let minus_one = self.lit_scalar(-1.0);
[INFO] [stdout]     |                     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_minus_one`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `minus_one`
[INFO] [stdout]    --> src/autograd/mod.rs:384:21
[INFO] [stdout]     |
[INFO] [stdout] 384 |                 let minus_one = self.lit_scalar(-1.0);
[INFO] [stdout]     |                     ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_minus_one`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `in_channels`
[INFO] [stdout]    --> src/nn/conv.rs:225:9
[INFO] [stdout]     |
[INFO] [stdout] 225 |         in_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_in_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_channels`
[INFO] [stdout]    --> src/nn/conv.rs:226:9
[INFO] [stdout]     |
[INFO] [stdout] 226 |         out_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_size`
[INFO] [stdout]    --> src/nn/conv.rs:227:9
[INFO] [stdout]     |
[INFO] [stdout] 227 |         kernel_size: (usize, usize),
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]    --> src/nn/positional.rs:110:32
[INFO] [stdout]     |
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |                                ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_offset`
[INFO] [stdout]    --> src/nn/positional.rs:379:39
[INFO] [stdout]     |
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |                                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_offset`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sin_tensor`
[INFO] [stdout]    --> src/nn/positional.rs:400:13
[INFO] [stdout]     |
[INFO] [stdout] 400 |         let sin_tensor = Tensor::new_literal(
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sin_tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `in_channels`
[INFO] [stdout]    --> src/nn/conv.rs:225:9
[INFO] [stdout]     |
[INFO] [stdout] 225 |         in_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_in_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `out_channels`
[INFO] [stdout]    --> src/nn/conv.rs:226:9
[INFO] [stdout]     |
[INFO] [stdout] 226 |         out_channels: usize,
[INFO] [stdout]     |         ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_size`
[INFO] [stdout]    --> src/nn/conv.rs:227:9
[INFO] [stdout]     |
[INFO] [stdout] 227 |         kernel_size: (usize, usize),
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/conv.rs:313:13
[INFO] [stdout]     |
[INFO] [stdout] 313 |         let output = conv.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/conv.rs:338:13
[INFO] [stdout]     |
[INFO] [stdout] 338 |         let output = deconv.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:168:13
[INFO] [stdout]     |
[INFO] [stdout] 168 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:185:13
[INFO] [stdout]     |
[INFO] [stdout] 185 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `output`
[INFO] [stdout]    --> src/nn/pooling.rs:195:13
[INFO] [stdout]     |
[INFO] [stdout] 195 |         let output = pool.forward(&input);
[INFO] [stdout]     |             ^^^^^^ help: if this is intentional, prefix it with an underscore: `_output`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_len`
[INFO] [stdout]    --> src/nn/positional.rs:110:32
[INFO] [stdout]     |
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |                                ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `seq_offset`
[INFO] [stdout]    --> src/nn/positional.rs:379:39
[INFO] [stdout]     |
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |                                       ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_offset`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `sin_tensor`
[INFO] [stdout]    --> src/nn/positional.rs:400:13
[INFO] [stdout]     |
[INFO] [stdout] 400 |         let sin_tensor = Tensor::new_literal(
[INFO] [stdout]     |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_sin_tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weight_out_channels`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:695:10
[INFO] [stdout]     |
[INFO] [stdout] 695 |     let (weight_out_channels, out_channels_per_group, kernel_h, kernel_w) = weight_arr.dim();
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weight_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_area`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |     let kernel_area = (kh * kw) as f32;
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_area`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_n`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:10
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_c`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:18
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |                  ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_c`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `weight_out_channels`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:695:10
[INFO] [stdout]     |
[INFO] [stdout] 695 |     let (weight_out_channels, out_channels_per_group, kernel_h, kernel_w) = weight_arr.dim();
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_weight_out_channels`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `kernel_area`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:797:9
[INFO] [stdout]     |
[INFO] [stdout] 797 |     let kernel_area = (kh * kw) as f32;
[INFO] [stdout]     |         ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_kernel_area`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_n`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:10
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_n`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad_c`
[INFO] [stdout]    --> src/runtime/cpu_backend.rs:970:18
[INFO] [stdout]     |
[INFO] [stdout] 970 |     let (grad_n, grad_c, out_h, out_w) = grad_arr.dim();
[INFO] [stdout]     |                  ^^^^^^ help: if this is intentional, prefix it with an underscore: `_grad_c`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `map_result`
[INFO] [stdout]     --> src/runtime/wgpu_backend.rs:1239:17
[INFO] [stdout]      |
[INFO] [stdout] 1239 |             let map_result = pollster::block_on(receiver.receive())
[INFO] [stdout]      |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_map_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `map_result`
[INFO] [stdout]     --> src/runtime/wgpu_backend.rs:1239:17
[INFO] [stdout]      |
[INFO] [stdout] 1239 |             let map_result = pollster::block_on(receiver.receive())
[INFO] [stdout]      |                 ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_map_result`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/main.rs:146:9
[INFO] [stdout]     |
[INFO] [stdout] 146 |     let mut grad_graph = grad_generator.build(loss.node_id, &param_ids)?;
[INFO] [stdout]     |         ----^^^^^^^^^^
[INFO] [stdout]     |         |
[INFO] [stdout]     |         help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> src/main.rs:146:9
[INFO] [stdout]     |
[INFO] [stdout] 146 |     let mut grad_graph = grad_generator.build(loss.node_id, &param_ids)?;
[INFO] [stdout]     |         ----^^^^^^^^^^
[INFO] [stdout]     |         |
[INFO] [stdout]     |         help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `BroadcastError` and `MatmulDimensionError` are never constructed
[INFO] [stdout]   --> src/analysis/shape_inference.rs:48:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | pub enum ShapeInferenceError {
[INFO] [stdout]    |          ------------------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 48 |     BroadcastError(Shape, Shape),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 51 |     MatmulDimensionError(usize, usize),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ShapeInferenceError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `UnsupportedOperation` and `GradientNotFound` are never constructed
[INFO] [stdout]   --> src/autograd/mod.rs:57:5
[INFO] [stdout]    |
[INFO] [stdout] 48 | pub enum AutogradError {
[INFO] [stdout]    |          ------------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 57 |     UnsupportedOperation(String),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 61 |     GradientNotFound(NodeId),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `AutogradError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `BroadcastError` and `MatmulDimensionError` are never constructed
[INFO] [stdout]   --> src/analysis/shape_inference.rs:48:5
[INFO] [stdout]    |
[INFO] [stdout] 11 | pub enum ShapeInferenceError {
[INFO] [stdout]    |          ------------------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 48 |     BroadcastError(Shape, Shape),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 51 |     MatmulDimensionError(usize, usize),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `ShapeInferenceError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `UnsupportedOperation` and `GradientNotFound` are never constructed
[INFO] [stdout]   --> src/autograd/mod.rs:57:5
[INFO] [stdout]    |
[INFO] [stdout] 48 | pub enum AutogradError {
[INFO] [stdout]    |          ------------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 57 |     UnsupportedOperation(String),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 61 |     GradientNotFound(NodeId),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `AutogradError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss_mean` is never used
[INFO] [stdout]   --> src/losses.rs:49:8
[INFO] [stdout]    |
[INFO] [stdout] 49 | pub fn mse_loss_mean(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `l1_loss` is never used
[INFO] [stdout]   --> src/losses.rs:62:8
[INFO] [stdout]    |
[INFO] [stdout] 62 | pub fn l1_loss(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `l1_loss_mean` is never used
[INFO] [stdout]   --> src/losses.rs:70:8
[INFO] [stdout]    |
[INFO] [stdout] 70 | pub fn l1_loss_mean(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_l1_loss` is never used
[INFO] [stdout]   --> src/losses.rs:95:8
[INFO] [stdout]    |
[INFO] [stdout] 95 | pub fn smooth_l1_loss(y_pred: &Tensor, y_true: &Tensor, beta: f32) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `huber_loss` is never used
[INFO] [stdout]    --> src/losses.rs:123:8
[INFO] [stdout]     |
[INFO] [stdout] 123 | pub fn huber_loss(y_pred: &Tensor, y_true: &Tensor, delta: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]    --> src/losses.rs:140:8
[INFO] [stdout]     |
[INFO] [stdout] 140 | pub fn cross_entropy_loss(y_pred: &Tensor, y_true: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_with_label_smoothing` is never used
[INFO] [stdout]    --> src/losses.rs:159:8
[INFO] [stdout]     |
[INFO] [stdout] 159 | pub fn cross_entropy_with_label_smoothing(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy` is never used
[INFO] [stdout]    --> src/losses.rs:192:8
[INFO] [stdout]     |
[INFO] [stdout] 192 | pub fn binary_cross_entropy(y_pred: &Tensor, y_true: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bce_with_logits` is never used
[INFO] [stdout]    --> src/losses.rs:221:8
[INFO] [stdout]     |
[INFO] [stdout] 221 | pub fn bce_with_logits(logits: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `kl_divergence` is never used
[INFO] [stdout]    --> src/losses.rs:264:8
[INFO] [stdout]     |
[INFO] [stdout] 264 | pub fn kl_divergence(p: &Tensor, q: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `nll_loss` is never used
[INFO] [stdout]    --> src/losses.rs:291:8
[INFO] [stdout]     |
[INFO] [stdout] 291 | pub fn nll_loss(log_probs: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `hinge_loss` is never used
[INFO] [stdout]    --> src/losses.rs:309:8
[INFO] [stdout]     |
[INFO] [stdout] 309 | pub fn hinge_loss(y_pred: &Tensor, y_true: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `squared_hinge_loss` is never used
[INFO] [stdout]    --> src/losses.rs:324:8
[INFO] [stdout]     |
[INFO] [stdout] 324 | pub fn squared_hinge_loss(y_pred: &Tensor, y_true: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `focal_loss` is never used
[INFO] [stdout]    --> src/losses.rs:354:8
[INFO] [stdout]     |
[INFO] [stdout] 354 | pub fn focal_loss(
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cosine_embedding_loss` is never used
[INFO] [stdout]    --> src/losses.rs:409:8
[INFO] [stdout]     |
[INFO] [stdout] 409 | pub fn cosine_embedding_loss(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `triplet_margin_loss` is never used
[INFO] [stdout]    --> src/losses.rs:478:8
[INFO] [stdout]     |
[INFO] [stdout] 478 | pub fn triplet_margin_loss(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `margin_ranking_loss` is never used
[INFO] [stdout]    --> src/losses.rs:513:8
[INFO] [stdout]     |
[INFO] [stdout] 513 | pub fn margin_ranking_loss(x1: &Tensor, x2: &Tensor, y: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LeakyReLU` is never constructed
[INFO] [stdout]   --> src/nn/activations.rs:58:12
[INFO] [stdout]    |
[INFO] [stdout] 58 | pub struct LeakyReLU {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> src/nn/activations.rs:65:12
[INFO] [stdout]    |
[INFO] [stdout] 63 | impl LeakyReLU {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] 64 |     /// Создаёт LeakyReLU с указанным наклоном.
[INFO] [stdout] 65 |     pub fn new(negative_slope: f32) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `GELU` is never constructed
[INFO] [stdout]   --> src/nn/activations.rs:99:12
[INFO] [stdout]    |
[INFO] [stdout] 99 | pub struct GELU;
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:102:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | impl GELU {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 102 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `SiLU` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:133:12
[INFO] [stdout]     |
[INFO] [stdout] 133 | pub struct SiLU;
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:136:12
[INFO] [stdout]     |
[INFO] [stdout] 135 | impl SiLU {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 136 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: type alias `Swish` is never used
[INFO] [stdout]    --> src/nn/activations.rs:158:10
[INFO] [stdout]     |
[INFO] [stdout] 158 | pub type Swish = SiLU;
[INFO] [stdout]     |          ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Tanh` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:168:12
[INFO] [stdout]     |
[INFO] [stdout] 168 | pub struct Tanh;
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:171:12
[INFO] [stdout]     |
[INFO] [stdout] 170 | impl Tanh {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 171 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Sigmoid` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:200:12
[INFO] [stdout]     |
[INFO] [stdout] 200 | pub struct Sigmoid;
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:203:12
[INFO] [stdout]     |
[INFO] [stdout] 202 | impl Sigmoid {
[INFO] [stdout]     | ------------ associated function in this implementation
[INFO] [stdout] 203 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ELU` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:232:12
[INFO] [stdout]     |
[INFO] [stdout] 232 | pub struct ELU {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:238:12
[INFO] [stdout]     |
[INFO] [stdout] 237 | impl ELU {
[INFO] [stdout]     | -------- associated function in this implementation
[INFO] [stdout] 238 |     pub fn new(alpha: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Softplus` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:267:12
[INFO] [stdout]     |
[INFO] [stdout] 267 | pub struct Softplus {
[INFO] [stdout]     |            ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:275:12
[INFO] [stdout]     |
[INFO] [stdout] 274 | impl Softplus {
[INFO] [stdout]     | ------------- associated function in this implementation
[INFO] [stdout] 275 |     pub fn new(beta: f32, threshold: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss_mean` is never used
[INFO] [stdout]   --> src/losses.rs:49:8
[INFO] [stdout]    |
[INFO] [stdout] 49 | pub fn mse_loss_mean(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `l1_loss` is never used
[INFO] [stdout]   --> src/losses.rs:62:8
[INFO] [stdout]    |
[INFO] [stdout] 62 | pub fn l1_loss(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `l1_loss_mean` is never used
[INFO] [stdout]   --> src/losses.rs:70:8
[INFO] [stdout]    |
[INFO] [stdout] 70 | pub fn l1_loss_mean(y_pred: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_l1_loss` is never used
[INFO] [stdout]   --> src/losses.rs:95:8
[INFO] [stdout]    |
[INFO] [stdout] 95 | pub fn smooth_l1_loss(y_pred: &Tensor, y_true: &Tensor, beta: f32) -> Tensor {
[INFO] [stdout]    |        ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `huber_loss` is never used
[INFO] [stdout]    --> src/losses.rs:123:8
[INFO] [stdout]     |
[INFO] [stdout] 123 | pub fn huber_loss(y_pred: &Tensor, y_true: &Tensor, delta: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Softmax` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:304:12
[INFO] [stdout]     |
[INFO] [stdout] 304 | pub struct Softmax;
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]    --> src/losses.rs:140:8
[INFO] [stdout]     |
[INFO] [stdout] 140 | pub fn cross_entropy_loss(y_pred: &Tensor, y_true: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:307:12
[INFO] [stdout]     |
[INFO] [stdout] 306 | impl Softmax {
[INFO] [stdout]     | ------------ associated function in this implementation
[INFO] [stdout] 307 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `AttentionMask` is never used
[INFO] [stdout]   --> src/nn/attention.rs:29:10
[INFO] [stdout]    |
[INFO] [stdout] 29 | pub enum AttentionMask {
[INFO] [stdout]    |          ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/nn/attention.rs:144:12
[INFO] [stdout]     |
[INFO] [stdout] 108 | impl MultiHeadAttention {
[INFO] [stdout]     | ----------------------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 144 |     pub fn from_config(
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 161 |     pub fn scaled_dot_product_attention(
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 206 |     pub fn forward_qkv(
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 244 |     fn split_heads_dynamic(&self, x: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 254 |     fn combine_heads_dynamic(&self, x: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 262 |     fn combine_masks(
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 284 |     fn expand_padding_mask(&self, mask: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 301 |     pub fn create_causal_mask(&self, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `create_padding_mask_from_ids` is never used
[INFO] [stdout]    --> src/nn/attention.rs:425:8
[INFO] [stdout]     |
[INFO] [stdout] 425 | pub fn create_padding_mask_from_ids(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `momentum` is never read
[INFO] [stdout]   --> src/nn/batchnorm.rs:33:9
[INFO] [stdout]    |
[INFO] [stdout] 25 | pub struct BatchNorm {
[INFO] [stdout]    |            --------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 33 |     pub momentum: f32,
[INFO] [stdout]    |         ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_with_label_smoothing` is never used
[INFO] [stdout]    --> src/losses.rs:159:8
[INFO] [stdout]     |
[INFO] [stdout] 159 | pub fn cross_entropy_with_label_smoothing(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `with_momentum` is never used
[INFO] [stdout]   --> src/nn/batchnorm.rs:65:12
[INFO] [stdout]    |
[INFO] [stdout] 40 | impl BatchNorm {
[INFO] [stdout]    | -------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 65 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy` is never used
[INFO] [stdout]    --> src/losses.rs:192:8
[INFO] [stdout]     |
[INFO] [stdout] 192 | pub fn binary_cross_entropy(y_pred: &Tensor, y_true: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `bce_with_logits` is never used
[INFO] [stdout]    --> src/losses.rs:221:8
[INFO] [stdout]     |
[INFO] [stdout] 221 | pub fn bce_with_logits(logits: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_stride`, `with_padding`, `with_dilation`, and `with_groups` are never used
[INFO] [stdout]   --> src/nn/conv.rs:58:12
[INFO] [stdout]    |
[INFO] [stdout] 46 | impl Conv2dConfig {
[INFO] [stdout]    | ----------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 58 |     pub fn with_stride(mut self, stride: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 64 |     pub fn with_padding(mut self, padding: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 70 |     pub fn with_dilation(mut self, dilation: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 76 |     pub fn with_groups(mut self, groups: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `kl_divergence` is never used
[INFO] [stdout]    --> src/losses.rs:264:8
[INFO] [stdout]     |
[INFO] [stdout] 264 | pub fn kl_divergence(p: &Tensor, q: &Tensor, eps: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `nll_loss` is never used
[INFO] [stdout]    --> src/losses.rs:291:8
[INFO] [stdout]     |
[INFO] [stdout] 291 | pub fn nll_loss(log_probs: &Tensor, y_true: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_dilation` and `with_groups` are never used
[INFO] [stdout]    --> src/nn/conv.rs:164:12
[INFO] [stdout]     |
[INFO] [stdout] 111 | impl Conv2d {
[INFO] [stdout]     | ----------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 164 |     pub fn with_dilation(mut self, dilation: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 170 |     pub fn with_groups(mut self, groups: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `hinge_loss` is never used
[INFO] [stdout]    --> src/losses.rs:309:8
[INFO] [stdout]     |
[INFO] [stdout] 309 | pub fn hinge_loss(y_pred: &Tensor, y_true: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_output_padding` and `without_bias` are never used
[INFO] [stdout]    --> src/nn/conv.rs:256:12
[INFO] [stdout]     |
[INFO] [stdout] 220 | impl ConvTranspose2d {
[INFO] [stdout]     | -------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 256 |     pub fn with_output_padding(mut self, output_padding: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 261 |     pub fn without_bias(mut self) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `squared_hinge_loss` is never used
[INFO] [stdout]    --> src/losses.rs:324:8
[INFO] [stdout]     |
[INFO] [stdout] 324 | pub fn squared_hinge_loss(y_pred: &Tensor, y_true: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `focal_loss` is never used
[INFO] [stdout]    --> src/losses.rs:354:8
[INFO] [stdout]     |
[INFO] [stdout] 354 | pub fn focal_loss(
[INFO] [stdout]     |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `is_training` is never used
[INFO] [stdout]   --> src/nn/dropout.rs:56:12
[INFO] [stdout]    |
[INFO] [stdout] 28 | impl Dropout {
[INFO] [stdout]    | ------------ method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 56 |     pub fn is_training(&self) -> bool {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cosine_embedding_loss` is never used
[INFO] [stdout]    --> src/losses.rs:409:8
[INFO] [stdout]     |
[INFO] [stdout] 409 | pub fn cosine_embedding_loss(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `triplet_margin_loss` is never used
[INFO] [stdout]    --> src/losses.rs:478:8
[INFO] [stdout]     |
[INFO] [stdout] 478 | pub fn triplet_margin_loss(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `SpatialDropout` is never constructed
[INFO] [stdout]   --> src/nn/dropout.rs:94:12
[INFO] [stdout]    |
[INFO] [stdout] 94 | pub struct SpatialDropout {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `margin_ranking_loss` is never used
[INFO] [stdout]    --> src/losses.rs:513:8
[INFO] [stdout]     |
[INFO] [stdout] 513 | pub fn margin_ranking_loss(x1: &Tensor, x2: &Tensor, y: &Tensor, margin: f32) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LeakyReLU` is never constructed
[INFO] [stdout]   --> src/nn/activations.rs:58:12
[INFO] [stdout]    |
[INFO] [stdout] 58 | pub struct LeakyReLU {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `train`, and `eval` are never used
[INFO] [stdout]    --> src/nn/dropout.rs:103:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | impl SpatialDropout {
[INFO] [stdout]     | ------------------- associated items in this implementation
[INFO] [stdout] 102 |     /// Создаёт новый слой SpatialDropout.
[INFO] [stdout] 103 |     pub fn new(p: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 112 |     pub fn train(&mut self) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 116 |     pub fn eval(&mut self) {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]   --> src/nn/activations.rs:65:12
[INFO] [stdout]    |
[INFO] [stdout] 63 | impl LeakyReLU {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] 64 |     /// Создаёт LeakyReLU с указанным наклоном.
[INFO] [stdout] 65 |     pub fn new(negative_slope: f32) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `from_weight` is never used
[INFO] [stdout]   --> src/nn/embedding.rs:67:12
[INFO] [stdout]    |
[INFO] [stdout] 36 | impl Embedding {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 67 |     pub fn from_weight(weight: Tensor, num_embeddings: usize, embedding_dim: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `GELU` is never constructed
[INFO] [stdout]   --> src/nn/activations.rs:99:12
[INFO] [stdout]    |
[INFO] [stdout] 99 | pub struct GELU;
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `with_eps` is never used
[INFO] [stdout]   --> src/nn/norm.rs:35:12
[INFO] [stdout]    |
[INFO] [stdout] 20 | impl LayerNorm {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 35 |     pub fn with_eps(ctx: &Rc<RefCell<GraphContext>>, name: &str, eps: f32) -> Self {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:102:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | impl GELU {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 102 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `square` is never used
[INFO] [stdout]   --> src/nn/pooling.rs:80:12
[INFO] [stdout]    |
[INFO] [stdout] 69 | impl AvgPool2d {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 80 |     pub fn square(size: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `SiLU` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:133:12
[INFO] [stdout]     |
[INFO] [stdout] 133 | pub struct SiLU;
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: type alias `GlobalAvgPool2d` is never used
[INFO] [stdout]    --> src/nn/pooling.rs:146:10
[INFO] [stdout]     |
[INFO] [stdout] 146 | pub type GlobalAvgPool2d = AdaptiveAvgPool2d;
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:136:12
[INFO] [stdout]     |
[INFO] [stdout] 135 | impl SiLU {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 136 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: type alias `Swish` is never used
[INFO] [stdout]    --> src/nn/activations.rs:158:10
[INFO] [stdout]     |
[INFO] [stdout] 158 | pub type Swish = SiLU;
[INFO] [stdout]     |          ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new_global` is never used
[INFO] [stdout]    --> src/nn/pooling.rs:150:12
[INFO] [stdout]     |
[INFO] [stdout] 148 | impl GlobalAvgPool2d {
[INFO] [stdout]     | -------------------- associated function in this implementation
[INFO] [stdout] 149 |     /// Creates Global Average Pooling layer.
[INFO] [stdout] 150 |     pub fn new_global() -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Tanh` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:168:12
[INFO] [stdout]     |
[INFO] [stdout] 168 | pub struct Tanh;
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `get_encoding` is never used
[INFO] [stdout]    --> src/nn/positional.rs:110:12
[INFO] [stdout]     |
[INFO] [stdout]  48 | impl SinusoidalPositionalEncoding {
[INFO] [stdout]     | --------------------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:171:12
[INFO] [stdout]     |
[INFO] [stdout] 170 | impl Tanh {
[INFO] [stdout]     | --------- associated function in this implementation
[INFO] [stdout] 171 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `create_position_ids` is never used
[INFO] [stdout]    --> src/nn/positional.rs:191:12
[INFO] [stdout]     |
[INFO] [stdout] 162 | impl LearnedPositionalEmbedding {
[INFO] [stdout]     | ------------------------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 191 |     pub fn create_position_ids(context: &Rc<RefCell<GraphContext>>, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Sigmoid` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:200:12
[INFO] [stdout]     |
[INFO] [stdout] 200 | pub struct Sigmoid;
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `context` is never read
[INFO] [stdout]    --> src/nn/positional.rs:291:5
[INFO] [stdout]     |
[INFO] [stdout] 279 | pub struct RotaryPositionEmbedding {
[INFO] [stdout]     |            ----------------------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 291 |     context: Rc<RefCell<GraphContext>>,
[INFO] [stdout]     |     ^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `RotaryPositionEmbedding` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `apply` and `rotate_half` are never used
[INFO] [stdout]    --> src/nn/positional.rs:372:12
[INFO] [stdout]     |
[INFO] [stdout] 294 | impl RotaryPositionEmbedding {
[INFO] [stdout]     | ---------------------------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 372 |     pub fn apply(&self, query: &Tensor, key: &Tensor, seq_offset: usize) -> (Tensor, Tensor) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `zero_grad`, `get_lr`, and `set_lr` are never used
[INFO] [stdout]   --> src/optimizers/mod.rs:56:8
[INFO] [stdout]    |
[INFO] [stdout] 51 | pub trait Optimizer {
[INFO] [stdout]    |           --------- methods in this trait
[INFO] [stdout] ...
[INFO] [stdout] 56 |     fn zero_grad(&mut self) {}
[INFO] [stdout]    |        ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 59 |     fn get_lr(&self) -> f32;
[INFO] [stdout]    |        ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 62 |     fn set_lr(&mut self, lr: f32);
[INFO] [stdout]    |        ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_momentum`, `with_weight_decay`, and `with_nesterov` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:101:12
[INFO] [stdout]     |
[INFO] [stdout]  88 | impl Sgd {
[INFO] [stdout]     | -------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 101 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 107 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 113 |     pub fn with_nesterov(mut self) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_beta1`, `with_beta2`, `with_eps`, and `with_weight_decay` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:212:12
[INFO] [stdout]     |
[INFO] [stdout] 196 | impl Adam {
[INFO] [stdout]     | --------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 212 |     pub fn with_beta1(mut self, beta1: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 218 |     pub fn with_beta2(mut self, beta2: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 224 |     pub fn with_eps(mut self, eps: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 230 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `AdamW` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:305:12
[INFO] [stdout]     |
[INFO] [stdout] 305 | pub struct AdamW {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_weight_decay`, `with_beta1`, and `with_beta2` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:326:12
[INFO] [stdout]     |
[INFO] [stdout] 324 | impl AdamW {
[INFO] [stdout]     | ---------- associated items in this implementation
[INFO] [stdout] 325 |     /// Creates AdamW with default parameters.
[INFO] [stdout] 326 |     pub fn new(lr: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 340 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 346 |     pub fn with_beta1(mut self, beta1: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 352 |     pub fn with_beta2(mut self, beta2: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `RMSprop` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:416:12
[INFO] [stdout]     |
[INFO] [stdout] 416 | pub struct RMSprop {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:203:12
[INFO] [stdout]     |
[INFO] [stdout] 202 | impl Sigmoid {
[INFO] [stdout]     | ------------ associated function in this implementation
[INFO] [stdout] 203 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_alpha`, and `with_momentum` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:427:12
[INFO] [stdout]     |
[INFO] [stdout] 426 | impl RMSprop {
[INFO] [stdout]     | ------------ associated items in this implementation
[INFO] [stdout] 427 |     pub fn new(lr: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 439 |     pub fn with_alpha(mut self, alpha: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 444 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `StepLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:518:12
[INFO] [stdout]     |
[INFO] [stdout] 518 | pub struct StepLR {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ELU` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:232:12
[INFO] [stdout]     |
[INFO] [stdout] 232 | pub struct ELU {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:525:12
[INFO] [stdout]     |
[INFO] [stdout] 524 | impl StepLR {
[INFO] [stdout]     | ----------- associated function in this implementation
[INFO] [stdout] 525 |     pub fn new(initial_lr: f32, step_size: usize, gamma: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:238:12
[INFO] [stdout]     |
[INFO] [stdout] 237 | impl ELU {
[INFO] [stdout]     | -------- associated function in this implementation
[INFO] [stdout] 238 |     pub fn new(alpha: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ExponentialLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:537:12
[INFO] [stdout]     |
[INFO] [stdout] 537 | pub struct ExponentialLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Softplus` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:267:12
[INFO] [stdout]     |
[INFO] [stdout] 267 | pub struct Softplus {
[INFO] [stdout]     |            ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:543:12
[INFO] [stdout]     |
[INFO] [stdout] 542 | impl ExponentialLR {
[INFO] [stdout]     | ------------------ associated function in this implementation
[INFO] [stdout] 543 |     pub fn new(initial_lr: f32, gamma: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `with_min_lr` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:570:12
[INFO] [stdout]     |
[INFO] [stdout] 561 | impl CosineAnnealingLR {
[INFO] [stdout]     | ---------------------- method in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 570 |     pub fn with_min_lr(mut self, min_lr: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:275:12
[INFO] [stdout]     |
[INFO] [stdout] 274 | impl Softplus {
[INFO] [stdout]     | ------------- associated function in this implementation
[INFO] [stdout] 275 |     pub fn new(beta: f32, threshold: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LinearWarmupLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:584:12
[INFO] [stdout]     |
[INFO] [stdout] 584 | pub struct LinearWarmupLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Softmax` is never constructed
[INFO] [stdout]    --> src/nn/activations.rs:304:12
[INFO] [stdout]     |
[INFO] [stdout] 304 | pub struct Softmax;
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:590:12
[INFO] [stdout]     |
[INFO] [stdout] 589 | impl LinearWarmupLR {
[INFO] [stdout]     | ------------------- associated function in this implementation
[INFO] [stdout] 590 |     pub fn new(target_lr: f32, warmup_steps: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/nn/activations.rs:307:12
[INFO] [stdout]     |
[INFO] [stdout] 306 | impl Softmax {
[INFO] [stdout]     | ------------ associated function in this implementation
[INFO] [stdout] 307 |     pub fn new() -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `WarmupCosineAnnealingLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:606:12
[INFO] [stdout]     |
[INFO] [stdout] 606 | pub struct WarmupCosineAnnealingLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `with_min_lr` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:614:12
[INFO] [stdout]     |
[INFO] [stdout] 613 | impl WarmupCosineAnnealingLR {
[INFO] [stdout]     | ---------------------------- associated items in this implementation
[INFO] [stdout] 614 |     pub fn new(target_lr: f32, warmup_steps: usize, total_steps: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 623 |     pub fn with_min_lr(mut self, min_lr: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `clip_grad_value` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:671:8
[INFO] [stdout]     |
[INFO] [stdout] 671 | pub fn clip_grad_value(gradients: &mut HashMap<String, Value>, max_value: f32) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `ComputationError` is never constructed
[INFO] [stdout]   --> src/runtime/backend.rs:73:5
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub enum RuntimeError {
[INFO] [stdout]    |          ------------ variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 73 |     ComputationError(String),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `RuntimeError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: enum `AttentionMask` is never used
[INFO] [stdout]   --> src/nn/attention.rs:29:10
[INFO] [stdout]    |
[INFO] [stdout] 29 | pub enum AttentionMask {
[INFO] [stdout]    |          ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MultiHeadAttentionConfig` is never constructed
[INFO] [stdout]   --> src/nn/attention.rs:43:12
[INFO] [stdout]    |
[INFO] [stdout] 43 | pub struct MultiHeadAttentionConfig {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_dropout`, and `without_bias` are never used
[INFO] [stdout]   --> src/nn/attention.rs:67:12
[INFO] [stdout]    |
[INFO] [stdout] 65 | impl MultiHeadAttentionConfig {
[INFO] [stdout]    | ----------------------------- associated items in this implementation
[INFO] [stdout] 66 |     /// Creates configuration with specified parameters.
[INFO] [stdout] 67 |     pub fn new(embed_dim: usize, num_heads: usize) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 76 |     pub fn with_dropout(mut self, dropout: f32) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 82 |     pub fn without_bias(mut self) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/nn/attention.rs:144:12
[INFO] [stdout]     |
[INFO] [stdout] 108 | impl MultiHeadAttention {
[INFO] [stdout]     | ----------------------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 144 |     pub fn from_config(
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 161 |     pub fn scaled_dot_product_attention(
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 206 |     pub fn forward_qkv(
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 244 |     fn split_heads_dynamic(&self, x: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 254 |     fn combine_heads_dynamic(&self, x: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 262 |     fn combine_masks(
[INFO] [stdout]     |        ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 284 |     fn expand_padding_mask(&self, mask: &Tensor) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 301 |     pub fn create_causal_mask(&self, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 322 |     pub fn create_padding_mask_from_lengths(&self, lengths: &[usize], max_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `create_causal_mask` is never used
[INFO] [stdout]    --> src/nn/attention.rs:403:8
[INFO] [stdout]     |
[INFO] [stdout] 403 | pub fn create_causal_mask(context: &Rc<RefCell<GraphContext>>, seq_len: usize) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `create_padding_mask_from_ids` is never used
[INFO] [stdout]    --> src/nn/attention.rs:425:8
[INFO] [stdout]     |
[INFO] [stdout] 425 | pub fn create_padding_mask_from_ids(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `EPS` is never used
[INFO] [stdout]   --> src/nn/batchnorm.rs:13:7
[INFO] [stdout]    |
[INFO] [stdout] 13 | const EPS: f32 = 1e-5;
[INFO] [stdout]    |       ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: constant `DEFAULT_MOMENTUM` is never used
[INFO] [stdout]   --> src/nn/batchnorm.rs:16:7
[INFO] [stdout]    |
[INFO] [stdout] 16 | const DEFAULT_MOMENTUM: f32 = 0.1;
[INFO] [stdout]    |       ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `BatchNorm` is never constructed
[INFO] [stdout]   --> src/nn/batchnorm.rs:25:12
[INFO] [stdout]    |
[INFO] [stdout] 25 | pub struct BatchNorm {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_momentum`, `train`, and `eval` are never used
[INFO] [stdout]   --> src/nn/batchnorm.rs:46:12
[INFO] [stdout]    |
[INFO] [stdout] 40 | impl BatchNorm {
[INFO] [stdout]    | -------------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 46 |     pub fn new(ctx: &Rc<RefCell<GraphContext>>, name: &str) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 65 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 71 |     pub fn train(&mut self) {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 76 |     pub fn eval(&mut self) {
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Conv2dConfig` is never constructed
[INFO] [stdout]   --> src/nn/conv.rs:12:12
[INFO] [stdout]    |
[INFO] [stdout] 12 | pub struct Conv2dConfig {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_stride`, `with_padding`, `with_dilation`, `with_groups`, and `with_bias` are never used
[INFO] [stdout]   --> src/nn/conv.rs:48:12
[INFO] [stdout]    |
[INFO] [stdout] 46 | impl Conv2dConfig {
[INFO] [stdout]    | ----------------- associated items in this implementation
[INFO] [stdout] 47 |     /// Creates Conv2d configuration.
[INFO] [stdout] 48 |     pub fn new(in_channels: usize, out_channels: usize, kernel_size: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 58 |     pub fn with_stride(mut self, stride: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 64 |     pub fn with_padding(mut self, padding: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 70 |     pub fn with_dilation(mut self, dilation: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 76 |     pub fn with_groups(mut self, groups: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 82 |     pub fn with_bias(mut self, bias: bool) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Conv2d` is never constructed
[INFO] [stdout]    --> src/nn/conv.rs:102:12
[INFO] [stdout]     |
[INFO] [stdout] 102 | pub struct Conv2d {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `from_config`, `with_stride`, `with_padding`, `with_dilation`, and `with_groups` are never used
[INFO] [stdout]    --> src/nn/conv.rs:121:12
[INFO] [stdout]     |
[INFO] [stdout] 111 | impl Conv2d {
[INFO] [stdout]     | ----------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 121 |     pub fn new(
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 133 |     pub fn from_config(
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 152 |     pub fn with_stride(mut self, stride: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 158 |     pub fn with_padding(mut self, padding: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 164 |     pub fn with_dilation(mut self, dilation: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 170 |     pub fn with_groups(mut self, groups: usize) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ConvTranspose2d` is never constructed
[INFO] [stdout]    --> src/nn/conv.rs:203:12
[INFO] [stdout]     |
[INFO] [stdout] 203 | pub struct ConvTranspose2d {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_stride`, `with_padding`, `with_output_padding`, and `without_bias` are never used
[INFO] [stdout]    --> src/nn/conv.rs:222:12
[INFO] [stdout]     |
[INFO] [stdout] 220 | impl ConvTranspose2d {
[INFO] [stdout]     | -------------------- associated items in this implementation
[INFO] [stdout] 221 |     /// Creates a new ConvTranspose2d layer.
[INFO] [stdout] 222 |     pub fn new(
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 246 |     pub fn with_stride(mut self, stride: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 251 |     pub fn with_padding(mut self, padding: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 256 |     pub fn with_output_padding(mut self, output_padding: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 261 |     pub fn without_bias(mut self) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Dropout` is never constructed
[INFO] [stdout]   --> src/nn/dropout.rs:21:12
[INFO] [stdout]    |
[INFO] [stdout] 21 | pub struct Dropout {
[INFO] [stdout]    |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `train`, `eval`, and `is_training` are never used
[INFO] [stdout]   --> src/nn/dropout.rs:36:12
[INFO] [stdout]    |
[INFO] [stdout] 28 | impl Dropout {
[INFO] [stdout]    | ------------ associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 36 |     pub fn new(p: f32) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 46 |     pub fn train(&mut self) {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 51 |     pub fn eval(&mut self) {
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 56 |     pub fn is_training(&self) -> bool {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `SpatialDropout` is never constructed
[INFO] [stdout]   --> src/nn/dropout.rs:94:12
[INFO] [stdout]    |
[INFO] [stdout] 94 | pub struct SpatialDropout {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `train`, and `eval` are never used
[INFO] [stdout]    --> src/nn/dropout.rs:103:12
[INFO] [stdout]     |
[INFO] [stdout] 101 | impl SpatialDropout {
[INFO] [stdout]     | ------------------- associated items in this implementation
[INFO] [stdout] 102 |     /// Создаёт новый слой SpatialDropout.
[INFO] [stdout] 103 |     pub fn new(p: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 112 |     pub fn train(&mut self) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 116 |     pub fn eval(&mut self) {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Embedding` is never constructed
[INFO] [stdout]   --> src/nn/embedding.rs:27:12
[INFO] [stdout]    |
[INFO] [stdout] 27 | pub struct Embedding {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `new` and `from_weight` are never used
[INFO] [stdout]   --> src/nn/embedding.rs:49:12
[INFO] [stdout]    |
[INFO] [stdout] 36 | impl Embedding {
[INFO] [stdout]    | -------------- associated functions in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 49 |     pub fn new(
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 67 |     pub fn from_weight(weight: Tensor, num_embeddings: usize, embedding_dim: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `with_eps` is never used
[INFO] [stdout]   --> src/nn/norm.rs:35:12
[INFO] [stdout]    |
[INFO] [stdout] 20 | impl LayerNorm {
[INFO] [stdout]    | -------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 35 |     pub fn with_eps(ctx: &Rc<RefCell<GraphContext>>, name: &str, eps: f32) -> Self {
[INFO] [stdout]    |            ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `MaxPool2d` is never constructed
[INFO] [stdout]   --> src/nn/pooling.rs:19:12
[INFO] [stdout]    |
[INFO] [stdout] 19 | pub struct MaxPool2d {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `new` and `square` are never used
[INFO] [stdout]   --> src/nn/pooling.rs:33:12
[INFO] [stdout]    |
[INFO] [stdout] 26 | impl MaxPool2d {
[INFO] [stdout]    | -------------- associated functions in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 33 |     pub fn new(kernel_size: (usize, usize), stride: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 38 |     pub fn square(size: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `AvgPool2d` is never constructed
[INFO] [stdout]   --> src/nn/pooling.rs:60:12
[INFO] [stdout]    |
[INFO] [stdout] 60 | pub struct AvgPool2d {
[INFO] [stdout]    |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `square`, and `with_padding` are never used
[INFO] [stdout]   --> src/nn/pooling.rs:71:12
[INFO] [stdout]    |
[INFO] [stdout] 69 | impl AvgPool2d {
[INFO] [stdout]    | -------------- associated items in this implementation
[INFO] [stdout] 70 |     /// Creates AvgPool2d layer.
[INFO] [stdout] 71 |     pub fn new(kernel_size: (usize, usize), stride: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 80 |     pub fn square(size: usize) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 89 |     pub fn with_padding(mut self, padding: (usize, usize)) -> Self {
[INFO] [stdout]    |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `AdaptiveAvgPool2d` is never constructed
[INFO] [stdout]    --> src/nn/pooling.rs:118:12
[INFO] [stdout]     |
[INFO] [stdout] 118 | pub struct AdaptiveAvgPool2d {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `new` and `global` are never used
[INFO] [stdout]    --> src/nn/pooling.rs:125:12
[INFO] [stdout]     |
[INFO] [stdout] 123 | impl AdaptiveAvgPool2d {
[INFO] [stdout]     | ---------------------- associated functions in this implementation
[INFO] [stdout] 124 |     /// Creates AdaptiveAvgPool2d layer.
[INFO] [stdout] 125 |     pub fn new(output_size: (usize, usize)) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 130 |     pub fn global() -> Self {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: type alias `GlobalAvgPool2d` is never used
[INFO] [stdout]    --> src/nn/pooling.rs:146:10
[INFO] [stdout]     |
[INFO] [stdout] 146 | pub type GlobalAvgPool2d = AdaptiveAvgPool2d;
[INFO] [stdout]     |          ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new_global` is never used
[INFO] [stdout]    --> src/nn/pooling.rs:150:12
[INFO] [stdout]     |
[INFO] [stdout] 148 | impl GlobalAvgPool2d {
[INFO] [stdout]     | -------------------- associated function in this implementation
[INFO] [stdout] 149 |     /// Creates Global Average Pooling layer.
[INFO] [stdout] 150 |     pub fn new_global() -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `SinusoidalPositionalEncoding` is never constructed
[INFO] [stdout]   --> src/nn/positional.rs:39:12
[INFO] [stdout]    |
[INFO] [stdout] 39 | pub struct SinusoidalPositionalEncoding {
[INFO] [stdout]    |            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `compute_encoding`, and `get_encoding` are never used
[INFO] [stdout]    --> src/nn/positional.rs:57:12
[INFO] [stdout]     |
[INFO] [stdout]  48 | impl SinusoidalPositionalEncoding {
[INFO] [stdout]     | --------------------------------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout]  57 |     pub fn new(
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout]  77 |     fn compute_encoding(d_model: usize, max_len: usize) -> ArrayD<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 110 |     pub fn get_encoding(&self, seq_len: usize) -> &Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LearnedPositionalEmbedding` is never constructed
[INFO] [stdout]    --> src/nn/positional.rs:153:12
[INFO] [stdout]     |
[INFO] [stdout] 153 | pub struct LearnedPositionalEmbedding {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated functions `new` and `create_position_ids` are never used
[INFO] [stdout]    --> src/nn/positional.rs:171:12
[INFO] [stdout]     |
[INFO] [stdout] 162 | impl LearnedPositionalEmbedding {
[INFO] [stdout]     | ------------------------------- associated functions in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 171 |     pub fn new(
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 191 |     pub fn create_position_ids(context: &Rc<RefCell<GraphContext>>, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `create_position_ids` is never used
[INFO] [stdout]    --> src/nn/positional.rs:228:8
[INFO] [stdout]     |
[INFO] [stdout] 228 | pub fn create_position_ids(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `RotaryPositionEmbedding` is never constructed
[INFO] [stdout]    --> src/nn/positional.rs:279:12
[INFO] [stdout]     |
[INFO] [stdout] 279 | pub struct RotaryPositionEmbedding {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple associated items are never used
[INFO] [stdout]    --> src/nn/positional.rs:303:12
[INFO] [stdout]     |
[INFO] [stdout] 294 | impl RotaryPositionEmbedding {
[INFO] [stdout]     | ---------------------------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 303 |     pub fn new(
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 313 |     pub fn with_base(
[INFO] [stdout]     |            ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 335 |     fn precompute_freqs(head_dim: usize, max_len: usize, base: f32) -> (ArrayD<f32>, ArrayD<f32>) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 372 |     pub fn apply(&self, query: &Tensor, key: &Tensor, seq_offset: usize) -> (Tensor, Tensor) {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 379 |     fn rotate_half(&self, x: &Tensor, seq_offset: usize) -> Tensor {
[INFO] [stdout]     |        ^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 421 |     pub fn get_cos(&self) -> &ArrayD<f32> {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 426 |     pub fn get_sin(&self) -> &ArrayD<f32> {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ALiBi` is never constructed
[INFO] [stdout]    --> src/nn/positional.rs:462:12
[INFO] [stdout]     |
[INFO] [stdout] 462 | pub struct ALiBi {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `compute_slopes`, `get_bias`, `get_causal_bias`, and `get_slopes` are never used
[INFO] [stdout]    --> src/nn/positional.rs:478:12
[INFO] [stdout]     |
[INFO] [stdout] 471 | impl ALiBi {
[INFO] [stdout]     | ---------- associated items in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 478 |     pub fn new(context: &Rc<RefCell<GraphContext>>, num_heads: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 491 |     fn compute_slopes(num_heads: usize) -> Vec<f32> {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 507 |     pub fn get_bias(&self, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 540 |     pub fn get_causal_bias(&self, seq_len: usize) -> Tensor {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 570 |     pub fn get_slopes(&self) -> &[f32] {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `zero_grad`, `get_lr`, and `set_lr` are never used
[INFO] [stdout]   --> src/optimizers/mod.rs:56:8
[INFO] [stdout]    |
[INFO] [stdout] 51 | pub trait Optimizer {
[INFO] [stdout]    |           --------- methods in this trait
[INFO] [stdout] ...
[INFO] [stdout] 56 |     fn zero_grad(&mut self) {}
[INFO] [stdout]    |        ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 59 |     fn get_lr(&self) -> f32;
[INFO] [stdout]    |        ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 62 |     fn set_lr(&mut self, lr: f32);
[INFO] [stdout]    |        ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: methods `with_momentum`, `with_weight_decay`, and `with_nesterov` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:101:12
[INFO] [stdout]     |
[INFO] [stdout]  88 | impl Sgd {
[INFO] [stdout]     | -------- methods in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 101 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 107 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 113 |     pub fn with_nesterov(mut self) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Adam` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:177:12
[INFO] [stdout]     |
[INFO] [stdout] 177 | pub struct Adam {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_beta1`, `with_beta2`, `with_eps`, and `with_weight_decay` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:198:12
[INFO] [stdout]     |
[INFO] [stdout] 196 | impl Adam {
[INFO] [stdout]     | --------- associated items in this implementation
[INFO] [stdout] 197 |     /// Creates Adam with default parameters.
[INFO] [stdout] 198 |     pub fn new(lr: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 212 |     pub fn with_beta1(mut self, beta1: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 218 |     pub fn with_beta2(mut self, beta2: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 224 |     pub fn with_eps(mut self, eps: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 230 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `AdamW` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:305:12
[INFO] [stdout]     |
[INFO] [stdout] 305 | pub struct AdamW {
[INFO] [stdout]     |            ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_weight_decay`, `with_beta1`, and `with_beta2` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:326:12
[INFO] [stdout]     |
[INFO] [stdout] 324 | impl AdamW {
[INFO] [stdout]     | ---------- associated items in this implementation
[INFO] [stdout] 325 |     /// Creates AdamW with default parameters.
[INFO] [stdout] 326 |     pub fn new(lr: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 340 |     pub fn with_weight_decay(mut self, weight_decay: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 346 |     pub fn with_beta1(mut self, beta1: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 352 |     pub fn with_beta2(mut self, beta2: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `RMSprop` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:416:12
[INFO] [stdout]     |
[INFO] [stdout] 416 | pub struct RMSprop {
[INFO] [stdout]     |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new`, `with_alpha`, and `with_momentum` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:427:12
[INFO] [stdout]     |
[INFO] [stdout] 426 | impl RMSprop {
[INFO] [stdout]     | ------------ associated items in this implementation
[INFO] [stdout] 427 |     pub fn new(lr: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 439 |     pub fn with_alpha(mut self, alpha: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 444 |     pub fn with_momentum(mut self, momentum: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait `LRScheduler` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:512:11
[INFO] [stdout]     |
[INFO] [stdout] 512 | pub trait LRScheduler {
[INFO] [stdout]     |           ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `StepLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:518:12
[INFO] [stdout]     |
[INFO] [stdout] 518 | pub struct StepLR {
[INFO] [stdout]     |            ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:525:12
[INFO] [stdout]     |
[INFO] [stdout] 524 | impl StepLR {
[INFO] [stdout]     | ----------- associated function in this implementation
[INFO] [stdout] 525 |     pub fn new(initial_lr: f32, step_size: usize, gamma: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `ExponentialLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:537:12
[INFO] [stdout]     |
[INFO] [stdout] 537 | pub struct ExponentialLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:543:12
[INFO] [stdout]     |
[INFO] [stdout] 542 | impl ExponentialLR {
[INFO] [stdout]     | ------------------ associated function in this implementation
[INFO] [stdout] 543 |     pub fn new(initial_lr: f32, gamma: f32) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `CosineAnnealingLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:555:12
[INFO] [stdout]     |
[INFO] [stdout] 555 | pub struct CosineAnnealingLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `with_min_lr` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:562:12
[INFO] [stdout]     |
[INFO] [stdout] 561 | impl CosineAnnealingLR {
[INFO] [stdout]     | ---------------------- associated items in this implementation
[INFO] [stdout] 562 |     pub fn new(initial_lr: f32, total_epochs: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 570 |     pub fn with_min_lr(mut self, min_lr: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `LinearWarmupLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:584:12
[INFO] [stdout]     |
[INFO] [stdout] 584 | pub struct LinearWarmupLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `new` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:590:12
[INFO] [stdout]     |
[INFO] [stdout] 589 | impl LinearWarmupLR {
[INFO] [stdout]     | ------------------- associated function in this implementation
[INFO] [stdout] 590 |     pub fn new(target_lr: f32, warmup_steps: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `WarmupCosineAnnealingLR` is never constructed
[INFO] [stdout]    --> src/optimizers/mod.rs:606:12
[INFO] [stdout]     |
[INFO] [stdout] 606 | pub struct WarmupCosineAnnealingLR {
[INFO] [stdout]     |            ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated items `new` and `with_min_lr` are never used
[INFO] [stdout]    --> src/optimizers/mod.rs:614:12
[INFO] [stdout]     |
[INFO] [stdout] 613 | impl WarmupCosineAnnealingLR {
[INFO] [stdout]     | ---------------------------- associated items in this implementation
[INFO] [stdout] 614 |     pub fn new(target_lr: f32, warmup_steps: usize, total_steps: usize) -> Self {
[INFO] [stdout]     |            ^^^
[INFO] [stdout] ...
[INFO] [stdout] 623 |     pub fn with_min_lr(mut self, min_lr: f32) -> Self {
[INFO] [stdout]     |            ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `clip_grad_norm` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:647:8
[INFO] [stdout]     |
[INFO] [stdout] 647 | pub fn clip_grad_norm(gradients: &mut HashMap<String, Value>, max_norm: f32) -> f32 {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `clip_grad_value` is never used
[INFO] [stdout]    --> src/optimizers/mod.rs:671:8
[INFO] [stdout]     |
[INFO] [stdout] 671 | pub fn clip_grad_value(gradients: &mut HashMap<String, Value>, max_value: f32) {
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `ComputationError` is never constructed
[INFO] [stdout]   --> src/runtime/backend.rs:73:5
[INFO] [stdout]    |
[INFO] [stdout] 50 | pub enum RuntimeError {
[INFO] [stdout]    |          ------------ variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 73 |     ComputationError(String),
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `RuntimeError` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 1m 35s
[INFO] running `Command { std: "docker" "inspect" "ce3f4bf9ff59c8802047fb8cd554b12956fd3b648bff1906772715cd2fcebb2b", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "ce3f4bf9ff59c8802047fb8cd554b12956fd3b648bff1906772715cd2fcebb2b", kill_on_drop: false }`
[INFO] [stdout] ce3f4bf9ff59c8802047fb8cd554b12956fd3b648bff1906772715cd2fcebb2b
