[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#485ec3fbcc12fa14ef6596dabb125ad710499c9e for pr-157710
[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 485ec3fbcc12fa14ef6596dabb125ad710499c9e
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+485ec3fbcc12fa14ef6596dabb125ad710499c9e" "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" "+485ec3fbcc12fa14ef6596dabb125ad710499c9e" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] [stderr] warning: Cargo.toml: unused manifest key: workspace.dev-dependencies
[INFO] [stderr] warning: workspace (manifest) generated 1 warning
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc1/target:/opt/rustwide/target:rw,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" "-m" "1610612736" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:3a6becf2bc8dde7f3fa57ede90e4f284e72d296796fc446bbb1e2c7cc0530151" "sleep" "infinity", kill_on_drop: false }`
[INFO] [stdout] fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47
[INFO] running `Command { std: "docker" "start" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "exec" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-w" "/opt/rustwide/workdir" "--user" "0:0" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47" "/opt/rustwide/cargo-home/bin/cargo" "+485ec3fbcc12fa14ef6596dabb125ad710499c9e" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "exec" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-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" "-w" "/opt/rustwide/workdir" "--user" "0:0" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47" "/opt/rustwide/cargo-home/bin/cargo" "+485ec3fbcc12fa14ef6596dabb125ad710499c9e" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stderr] warning: Cargo.toml: unused manifest key: workspace.dev-dependencies
[INFO] [stderr] warning: workspace (manifest) generated 1 warning
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[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: 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::<R>::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<R, Float>, GpuTensor<R, Float>)> = 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::<R>(&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 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 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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::<R>::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<R, Float>, GpuTensor<R, Float>)> = 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::<R>(&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: 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<R: Runtime>(gpu_layers: &[GpuLayer<R>], input: &GpuTensor<R, Float>, 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: 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: 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, 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<Float>, b: Array<Float>, 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: `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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<R: Runtime>(gpu_layers: &[GpuLayer<R>], input: &GpuTensor<R, Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, c: &mut Array<Float>, 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<Float>, b: Array<Float>, 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<Float>, b: Array<Float>, N: u32) {
[INFO] [stdout]     |                                                               ^ help: convert the identifier to snake case: `n`
[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: `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<P: AsRef<Path>>(
[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] [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<P: AsRef<Path>>(
[INFO] [stdout]     |        ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 1m 31s
[INFO] running `Command { std: "docker" "inspect" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47", kill_on_drop: false }`
[INFO] [stdout] fef81f11df0d5119ea8c0e4df0e04d171a1c74ec540cba1b24253361d1d89b47
