[INFO] cloning repository https://github.com/CuzImClicks/NeuralNetwork [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/CuzImClicks/NeuralNetwork" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FCuzImClicks%2FNeuralNetwork", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FCuzImClicks%2FNeuralNetwork'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 203eef624965f4c6f9a6835cc4b82b53c48994c1 [INFO] checking CuzImClicks/NeuralNetwork against master#61cc47e367d7be91e13bcd01e4e96e0e233d4f6d for 2025-12-16-next-solver-global [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FCuzImClicks%2FNeuralNetwork" "/workspace/builds/worker-2-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-2-tc1/source'... [INFO] [stderr] done. [INFO] removed /workspace/builds/worker-2-tc1/source/rust-toolchain.toml [INFO] started tweaking git repo https://github.com/CuzImClicks/NeuralNetwork [INFO] finished tweaking git repo https://github.com/CuzImClicks/NeuralNetwork [INFO] tweaked toml for git repo https://github.com/CuzImClicks/NeuralNetwork written to /workspace/builds/worker-2-tc1/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/CuzImClicks/NeuralNetwork on toolchain 61cc47e367d7be91e13bcd01e4e96e0e233d4f6d [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+61cc47e367d7be91e13bcd01e4e96e0e233d4f6d" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/CuzImClicks/NeuralNetwork 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" "+61cc47e367d7be91e13bcd01e4e96e0e233d4f6d" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] warning: /workspace/builds/worker-2-tc1/source/Cargo.toml: unused manifest key: workspace.dev-dependencies [INFO] [stderr] Updating crates.io index [INFO] [stderr] Downloading crates ... 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[INFO] [stderr] Downloaded cubecl-runtime v0.9.0-pre.3 [INFO] [stderr] Downloaded tracel-mlir-sys v20.1.4-5 [INFO] [stderr] Downloaded embassy-time-driver v0.2.1 [INFO] [stderr] Downloaded embassy-time v0.4.0 [INFO] [stderr] Downloaded cubecl-hip-sys v7.0.5183101 [INFO] [stderr] Downloaded float4 v0.1.0 [INFO] [stderr] Downloaded liblzma-sys v0.4.4 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-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@sha256:845e597a41426bbf2703be69acdb67d10b6de511142d05cba7bbe119c898b2c7" "/opt/rustwide/cargo-home/bin/cargo" "+61cc47e367d7be91e13bcd01e4e96e0e233d4f6d" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 99c5ca791283bab46c4033ec3d2cd0d85bbc7daf3a75fd3bfdd774554ccb7533 [INFO] running `Command { std: "docker" "start" "-a" "99c5ca791283bab46c4033ec3d2cd0d85bbc7daf3a75fd3bfdd774554ccb7533", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "99c5ca791283bab46c4033ec3d2cd0d85bbc7daf3a75fd3bfdd774554ccb7533", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "99c5ca791283bab46c4033ec3d2cd0d85bbc7daf3a75fd3bfdd774554ccb7533", kill_on_drop: false }` [INFO] [stdout] 99c5ca791283bab46c4033ec3d2cd0d85bbc7daf3a75fd3bfdd774554ccb7533 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc1/target:/opt/rustwide/target:rw,Z" "-v" 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[INFO] running `Command { std: "docker" "start" "-a" "7ef82965a1584830c22e4efc13796ac2671e26e0e6a19020dcd2b31f9081f00b", kill_on_drop: false }` [INFO] [stderr] warning: /opt/rustwide/workdir/Cargo.toml: unused manifest key: workspace.dev-dependencies [INFO] [stderr] Compiling proc-macro2 v1.0.102 [INFO] [stderr] Compiling unicode-ident v1.0.20 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling zerocopy v0.8.27 [INFO] [stderr] Checking bitflags v2.10.0 [INFO] [stderr] Checking memchr v2.7.6 [INFO] [stderr] Checking smallvec v1.15.1 [INFO] [stderr] Checking regex-syntax v0.8.8 [INFO] [stderr] Checking parking_lot_core v0.9.12 [INFO] [stderr] Checking dirs-sys v0.5.0 [INFO] [stderr] Checking parking_lot v0.12.5 [INFO] [stderr] Compiling serde_json v1.0.145 [INFO] [stderr] Checking dirs v6.0.0 [INFO] [stderr] Compiling serde_core v1.0.228 [INFO] [stderr] Checking float-ord v0.3.2 [INFO] [stderr] Checking futures-core v0.3.31 [INFO] [stderr] Compiling serde v1.0.228 [INFO] [stderr] Checking concurrent-queue v2.5.0 [INFO] [stderr] Compiling cubecl-common v0.9.0-pre.3 [INFO] [stderr] Checking aho-corasick v1.1.3 [INFO] [stderr] Compiling prettyplease v0.2.37 [INFO] [stderr] Compiling rand_core v0.9.3 [INFO] [stderr] Compiling portable-atomic v1.11.1 [INFO] [stderr] Compiling quote v1.0.41 [INFO] [stderr] Compiling syn v2.0.108 [INFO] [stderr] Checking fastrand v2.3.0 [INFO] [stderr] Compiling lock_api v0.4.14 [INFO] [stderr] Checking event-listener v5.4.1 [INFO] [stderr] Checking futures-lite v2.6.1 [INFO] [stderr] Checking spin v0.10.0 [INFO] [stderr] Checking serde_bytes v0.11.19 [INFO] [stderr] Checking libloading v0.8.9 [INFO] [stderr] Checking regex-automata v0.4.13 [INFO] [stderr] Checking embassy-futures v0.1.2 [INFO] [stderr] Checking winnow v0.7.14 [INFO] [stderr] Checking float4 v0.1.0 [INFO] [stderr] Checking event-listener-strategy v0.5.4 [INFO] [stderr] Checking serde_spanned v1.0.3 [INFO] [stderr] Checking toml_datetime v0.7.3 [INFO] 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v0.5.2 [INFO] [stderr] Checking rand_chacha v0.9.0 [INFO] [stderr] Compiling cubecl-wgpu v0.9.0-pre.3 [INFO] [stderr] Checking rand v0.9.2 [INFO] [stderr] Compiling matrixmultiply v0.3.10 [INFO] [stderr] Checking derive_more v2.0.1 [INFO] [stderr] Checking weezl v0.1.10 [INFO] [stderr] Checking plotters-backend v0.3.7 [INFO] [stderr] Compiling font-kit v0.14.3 [INFO] [stderr] Checking half v2.7.1 [INFO] [stderr] Checking hashbrown v0.15.5 [INFO] [stderr] Checking enumset v1.1.10 [INFO] [stderr] Compiling cubecl-cuda v0.9.0-pre.3 [INFO] [stderr] Checking jpeg-decoder v0.3.2 [INFO] [stderr] Checking float8 v0.4.2 [INFO] [stderr] Checking chrono v0.4.42 [INFO] [stderr] Checking gif v0.12.0 [INFO] [stderr] Checking gpu-descriptor v0.3.2 [INFO] [stderr] Checking pathfinder_geometry v0.5.1 [INFO] [stderr] Checking image v0.24.9 [INFO] [stderr] Checking cubecl-ir v0.9.0-pre.3 [INFO] [stderr] Checking rayon v1.11.0 [INFO] [stderr] Checking plotters-svg v0.3.7 [INFO] [stderr] Checking ttf-parser v0.20.0 [INFO] [stderr] Checking plotters-bitmap v0.3.7 [INFO] [stderr] Checking ndarray v0.16.1 [INFO] [stderr] Checking plotters v0.3.7 [INFO] [stderr] Checking bincode v1.3.3 [INFO] [stderr] Checking ciborium-io v0.2.2 [INFO] [stderr] Checking anstream v0.6.21 [INFO] [stderr] Checking clap_builder v4.5.50 [INFO] [stderr] Checking ciborium-ll v0.2.2 [INFO] [stderr] Checking env_filter v0.1.4 [INFO] [stderr] Checking itertools v0.10.5 [INFO] [stderr] Checking jiff v0.2.15 [INFO] [stderr] Checking cast v0.3.0 [INFO] [stderr] Checking ciborium v0.2.2 [INFO] [stderr] Checking tinytemplate v1.2.1 [INFO] [stderr] Checking cubecl-core v0.9.0-pre.3 [INFO] [stderr] Checking clap v4.5.50 [INFO] [stderr] Checking is-terminal v0.4.16 [INFO] [stderr] Checking oorandom v11.1.5 [INFO] [stderr] Checking anes v0.1.6 [INFO] [stderr] Checking criterion-plot v0.5.0 [INFO] [stderr] Checking criterion v0.5.1 [INFO] [stderr] Checking env_logger v0.11.8 [INFO] [stderr] Checking cubecl-std v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-opt v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-cpp v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-random v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-reduce v0.9.0-pre.3 [INFO] [stderr] Checking wgpu-core-deps-windows-linux-android v26.0.0 [INFO] [stderr] Checking cubecl-matmul v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-attention v0.9.0-pre.3 [INFO] [stderr] Checking cubecl-convolution v0.9.0-pre.3 [INFO] [stderr] Checking cubecl v0.9.0-pre.3 [INFO] [stderr] Checking neural_net v0.1.0 (/opt/rustwide/workdir/neural_net) [INFO] [stdout] warning: unused import: `neural_net::NeuralNetwork` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:6:179 [INFO] [stdout] | [INFO] [stdout] 6 | ...ul_into}, gpu_tensor::GpuTensor}, layers::GpuLayer, neural_net::NeuralNetwork, training_data::GpuTrainingData}; [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: `neural_net::NeuralNetwork` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:6:179 [INFO] [stdout] | [INFO] [stdout] 6 | ...ul_into}, gpu_tensor::GpuTensor}, layers::GpuLayer, neural_net::NeuralNetwork, training_data::GpuTrainingData}; [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: `Dimension` [INFO] [stdout] --> neural_net/src/neural_net.rs:8:46 [INFO] [stdout] | [INFO] [stdout] 8 | use ndarray::{Array2, ArrayView, ArrayView2, Dimension, Ix2}; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Dimension` [INFO] [stdout] --> neural_net/src/neural_net.rs:8:46 [INFO] [stdout] | [INFO] [stdout] 8 | use ndarray::{Array2, ArrayView, ArrayView2, Dimension, Ix2}; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> neural_net/src/neural_net.rs:311:9 [INFO] [stdout] | [INFO] [stdout] 311 | mut callbacks: Callbacks, [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] --> neural_net/src/neural_net.rs:338:13 [INFO] [stdout] | [INFO] [stdout] 338 | let mut training_data = GpuTrainingData::::from_layers(&self.layers, &client); [INFO] [stdout] | ----^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> neural_net/src/neural_net.rs:307:9 [INFO] [stdout] | [INFO] [stdout] 307 | learning_rate: Float, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> neural_net/src/neural_net.rs:308:9 [INFO] [stdout] | [INFO] [stdout] 308 | lambda: Float, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loss_function` [INFO] [stdout] --> neural_net/src/neural_net.rs:310:9 [INFO] [stdout] | [INFO] [stdout] 310 | loss_function: LossFunction, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loss_function` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `callbacks` [INFO] [stdout] --> neural_net/src/neural_net.rs:311:9 [INFO] [stdout] | [INFO] [stdout] 311 | mut callbacks: Callbacks, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_callbacks` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `views` [INFO] [stdout] --> neural_net/src/neural_net.rs:327:13 [INFO] [stdout] | [INFO] [stdout] 327 | let views = validation_pairs [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_views` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gpu_data` [INFO] [stdout] --> neural_net/src/neural_net.rs:332:13 [INFO] [stdout] | [INFO] [stdout] 332 | let gpu_data: Vec<(GpuTensor, GpuTensor)> = data.iter().map(|(i, o)| { [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gpu_data` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gpu_layers` [INFO] [stdout] --> neural_net/src/neural_net.rs:336:13 [INFO] [stdout] | [INFO] [stdout] 336 | let gpu_layers = self.get_weights_as_tensors::(&device)?; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gpu_layers` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epoch` [INFO] [stdout] --> neural_net/src/neural_net.rs:342:13 [INFO] [stdout] | [INFO] [stdout] 342 | for epoch in 0..epochs { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `shuffle_elapsed` [INFO] [stdout] --> neural_net/src/neural_net.rs:345:17 [INFO] [stdout] | [INFO] [stdout] 345 | let shuffle_elapsed = epoch_start.elapsed(); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_shuffle_elapsed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch` [INFO] [stdout] --> neural_net/src/neural_net.rs:347:17 [INFO] [stdout] | [INFO] [stdout] 347 | for batch in indices.chunks(batch_size).take(batches_per_epoch) { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_batch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `last_activation` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:18:9 [INFO] [stdout] | [INFO] [stdout] 18 | let last_activation = &training_data.activations[gpu_layers.len()]; [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_last_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `last_pre_activation` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:19:9 [INFO] [stdout] | [INFO] [stdout] 19 | let last_pre_activation = &training_data.pre_activations[gpu_layers.len()]; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_last_pre_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `M` [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_M` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `N` [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_N` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> neural_net/src/neural_net.rs:311:9 [INFO] [stdout] | [INFO] [stdout] 311 | mut callbacks: Callbacks, [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] --> neural_net/src/neural_net.rs:338:13 [INFO] [stdout] | [INFO] [stdout] 338 | let mut training_data = GpuTrainingData::::from_layers(&self.layers, &client); [INFO] [stdout] | ----^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> neural_net/src/neural_net.rs:307:9 [INFO] [stdout] | [INFO] [stdout] 307 | learning_rate: Float, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lambda` [INFO] [stdout] --> neural_net/src/neural_net.rs:308:9 [INFO] [stdout] | [INFO] [stdout] 308 | lambda: Float, [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_lambda` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `loss_function` [INFO] [stdout] --> neural_net/src/neural_net.rs:310:9 [INFO] [stdout] | [INFO] [stdout] 310 | loss_function: LossFunction, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_loss_function` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `callbacks` [INFO] [stdout] --> neural_net/src/neural_net.rs:311:9 [INFO] [stdout] | [INFO] [stdout] 311 | mut callbacks: Callbacks, [INFO] [stdout] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_callbacks` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `views` [INFO] [stdout] --> neural_net/src/neural_net.rs:327:13 [INFO] [stdout] | [INFO] [stdout] 327 | let views = validation_pairs [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_views` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gpu_data` [INFO] [stdout] --> neural_net/src/neural_net.rs:332:13 [INFO] [stdout] | [INFO] [stdout] 332 | let gpu_data: Vec<(GpuTensor, GpuTensor)> = data.iter().map(|(i, o)| { [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gpu_data` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `gpu_layers` [INFO] [stdout] --> neural_net/src/neural_net.rs:336:13 [INFO] [stdout] | [INFO] [stdout] 336 | let gpu_layers = self.get_weights_as_tensors::(&device)?; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gpu_layers` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `epoch` [INFO] [stdout] --> neural_net/src/neural_net.rs:342:13 [INFO] [stdout] | [INFO] [stdout] 342 | for epoch in 0..epochs { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `shuffle_elapsed` [INFO] [stdout] --> neural_net/src/neural_net.rs:345:17 [INFO] [stdout] | [INFO] [stdout] 345 | let shuffle_elapsed = epoch_start.elapsed(); [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_shuffle_elapsed` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch` [INFO] [stdout] --> neural_net/src/neural_net.rs:347:17 [INFO] [stdout] | [INFO] [stdout] 347 | for batch in indices.chunks(batch_size).take(batches_per_epoch) { [INFO] [stdout] | ^^^^^ help: if this is intentional, prefix it with an underscore: `_batch` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `backpropagation_gpu` is never used [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:9:15 [INFO] [stdout] | [INFO] [stdout] 9 | pub(crate) fn backpropagation_gpu(gpu_layers: &[GpuLayer], input: &GpuTensor, training_data: &mut GpuTrainin... [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:31:9 [INFO] [stdout] | [INFO] [stdout] 31 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:32:9 [INFO] [stdout] | [INFO] [stdout] 32 | let K = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:34:9 [INFO] [stdout] | [INFO] [stdout] 34 | let N = b.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:56:9 [INFO] [stdout] | [INFO] [stdout] 56 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:57:9 [INFO] [stdout] | [INFO] [stdout] 57 | let K = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:59:9 [INFO] [stdout] | [INFO] [stdout] 59 | let N = b.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:87:9 [INFO] [stdout] | [INFO] [stdout] 87 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:88:9 [INFO] [stdout] | [INFO] [stdout] 88 | let N = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:122:9 [INFO] [stdout] | [INFO] [stdout] 122 | let N = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:75 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:83 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:91 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:75 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:83 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:91 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:113:63 [INFO] [stdout] | [INFO] [stdout] 113 | pub fn raw_add_inplace(a: &mut Array, b: Array, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:113:63 [INFO] [stdout] | [INFO] [stdout] 113 | pub fn raw_add_inplace(a: &mut Array, b: Array, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `last_activation` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:18:9 [INFO] [stdout] | [INFO] [stdout] 18 | let last_activation = &training_data.activations[gpu_layers.len()]; [INFO] [stdout] | ^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_last_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `last_pre_activation` [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:19:9 [INFO] [stdout] | [INFO] [stdout] 19 | let last_pre_activation = &training_data.pre_activations[gpu_layers.len()]; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_last_pre_activation` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `M` [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_M` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `N` [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_N` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `backpropagation_gpu` is never used [INFO] [stdout] --> neural_net/src/gpu/gpu_backpropagation.rs:9:15 [INFO] [stdout] | [INFO] [stdout] 9 | pub(crate) fn backpropagation_gpu(gpu_layers: &[GpuLayer], input: &GpuTensor, training_data: &mut GpuTrainin... [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:31:9 [INFO] [stdout] | [INFO] [stdout] 31 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` (part of `#[warn(nonstandard_style)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:32:9 [INFO] [stdout] | [INFO] [stdout] 32 | let K = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:34:9 [INFO] [stdout] | [INFO] [stdout] 34 | let N = b.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:56:9 [INFO] [stdout] | [INFO] [stdout] 56 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:57:9 [INFO] [stdout] | [INFO] [stdout] 57 | let K = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:59:9 [INFO] [stdout] | [INFO] [stdout] 59 | let N = b.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:87:9 [INFO] [stdout] | [INFO] [stdout] 87 | let M = a.shape[0] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:88:9 [INFO] [stdout] | [INFO] [stdout] 88 | let N = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:122:9 [INFO] [stdout] | [INFO] [stdout] 122 | let N = a.shape[1] as u32; [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:75 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:83 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:91 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:75 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `K` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:83 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case (notice the capitalization): `k` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:16:91 [INFO] [stdout] | [INFO] [stdout] 16 | pub fn raw_matmul(a: Array, b: Array, c: &mut Array, M: u32, K: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `M` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:84 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `m` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:79:92 [INFO] [stdout] | [INFO] [stdout] 79 | pub fn raw_elementwise_add(a: Array, b: Array, c: &mut Array, M: u32, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:113:63 [INFO] [stdout] | [INFO] [stdout] 113 | pub fn raw_add_inplace(a: &mut Array, b: Array, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: structure field `N` should have a snake case name [INFO] [stdout] --> neural_net/src/gpu/gpu_operations.rs:113:63 [INFO] [stdout] | [INFO] [stdout] 113 | pub fn raw_add_inplace(a: &mut Array, b: Array, N: u32) { [INFO] [stdout] | ^ help: convert the identifier to snake case: `n` [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Checking application v0.1.0 (/opt/rustwide/workdir/application) [INFO] [stderr] Checking application_gpu v0.1.0 (/opt/rustwide/workdir/application_gpu) [INFO] [stdout] warning: unused variable: `num_epochs` [INFO] [stdout] --> application_gpu/src/main.rs:37:9 [INFO] [stdout] | [INFO] [stdout] 37 | let num_epochs = 1; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_num_epochs` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `num_epochs` [INFO] [stdout] --> application_gpu/src/main.rs:37:9 [INFO] [stdout] | [INFO] [stdout] 37 | let num_epochs = 1; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_num_epochs` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `data` [INFO] [stdout] --> application/src/visualization.rs:200:5 [INFO] [stdout] | [INFO] [stdout] 200 | data: Vec<(f64, f64)>, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_data` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `plot_rgb` is never used [INFO] [stdout] --> application/src/visualization.rs:100:8 [INFO] [stdout] | [INFO] [stdout] 100 | pub fn plot_rgb( [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `plot_points` is never used [INFO] [stdout] --> application/src/visualization.rs:199:8 [INFO] [stdout] | [INFO] [stdout] 199 | pub fn plot_points>( [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `data` [INFO] [stdout] --> application/src/visualization.rs:200:5 [INFO] [stdout] | [INFO] [stdout] 200 | data: Vec<(f64, f64)>, [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_data` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 51s [INFO] [stdout] warning: function `plot_rgb` is never used [INFO] [stdout] --> application/src/visualization.rs:100:8 [INFO] [stdout] | [INFO] [stdout] 100 | pub fn plot_rgb( [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `plot_points` is never used [INFO] [stdout] --> application/src/visualization.rs:199:8 [INFO] [stdout] | [INFO] [stdout] 199 | pub fn plot_points>( [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "7ef82965a1584830c22e4efc13796ac2671e26e0e6a19020dcd2b31f9081f00b", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "7ef82965a1584830c22e4efc13796ac2671e26e0e6a19020dcd2b31f9081f00b", kill_on_drop: false }` [INFO] [stdout] 7ef82965a1584830c22e4efc13796ac2671e26e0e6a19020dcd2b31f9081f00b