[INFO] cloning repository https://github.com/AviseOffical/rus
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/AviseOffical/rus" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FAviseOffical%2Frus", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FAviseOffical%2Frus'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] 303689ecfca732b2b9994b1ffacb015bb98a7eb4
[INFO] checking AviseOffical/rus against try#78c81ee3917a99dcff6e2e6822800f0492c415c3 for pr-148967
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FAviseOffical%2Frus" "/workspace/builds/worker-2-tc2/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-2-tc2/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/AviseOffical/rus
[INFO] finished tweaking git repo https://github.com/AviseOffical/rus
[INFO] tweaked toml for git repo https://github.com/AviseOffical/rus written to /workspace/builds/worker-2-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/AviseOffical/rus on toolchain 78c81ee3917a99dcff6e2e6822800f0492c415c3
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+78c81ee3917a99dcff6e2e6822800f0492c415c3" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/AviseOffical/rus 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" "+78c81ee3917a99dcff6e2e6822800f0492c415c3" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+78c81ee3917a99dcff6e2e6822800f0492c415c3" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] d4d8150ff6b5b0821c107c790360eb1da44625a1453c516fe4352ab8fc4e64d5
[INFO] running `Command { std: "docker" "start" "-a" "d4d8150ff6b5b0821c107c790360eb1da44625a1453c516fe4352ab8fc4e64d5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "d4d8150ff6b5b0821c107c790360eb1da44625a1453c516fe4352ab8fc4e64d5", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "d4d8150ff6b5b0821c107c790360eb1da44625a1453c516fe4352ab8fc4e64d5", kill_on_drop: false }`
[INFO] [stdout] d4d8150ff6b5b0821c107c790360eb1da44625a1453c516fe4352ab8fc4e64d5
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-2-tc2/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@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+78c81ee3917a99dcff6e2e6822800f0492c415c3" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 649add1f8c71ba7b9bba0331a0f81eea2c6c93c76fac154a801f255be4e5995a
[INFO] running `Command { std: "docker" "start" "-a" "649add1f8c71ba7b9bba0331a0f81eea2c6c93c76fac154a801f255be4e5995a", kill_on_drop: false }`
[INFO] [stderr]    Compiling zerocopy v0.8.27
[INFO] [stderr]     Checking memchr v2.7.6
[INFO] [stderr]    Compiling num-traits v0.2.19
[INFO] [stderr]    Compiling serde_json v1.0.145
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[INFO] [stderr]     Checking getrandom v0.2.16
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[INFO] [stdout] warning: unused imports: `Array1`, `Array4`, and `Axis`
[INFO] [stdout]  --> src/tensor/mod.rs:6:22
[INFO] [stdout]   |
[INFO] [stdout] 6 | use ndarray::{Array, Array1, Array2, Array3, Array4, Axis, IxDyn, s};
[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: `Add` and `Mul`
[INFO] [stdout]  --> src/tensor/mod.rs:7:16
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                ^^^  ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array2`, `Array`, `Axis`, and `s`
[INFO] [stdout]  --> src/tensor/ops.rs:4:15
[INFO] [stdout]   |
[INFO] [stdout] 4 | use ndarray::{Array, Array2, Axis, s};
[INFO] [stdout]   |               ^^^^^  ^^^^^^  ^^^^  ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::f32::consts::PI`
[INFO] [stdout]  --> src/tensor/ops.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::f32::consts::PI;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::transformer::Transformer`
[INFO] [stdout]  --> src/training/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::transformer::Transformer;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/training/optimizer.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `initializer`
[INFO] [stdout]  --> src/inference/mod.rs:5:29
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::tensor::{Tensor, initializer};
[INFO] [stdout]   |                             ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/utils/mod.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::path::Path`
[INFO] [stdout]  --> src/utils/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::path::Path;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/utils/data.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `Array4`, and `Axis`
[INFO] [stdout]  --> src/tensor/mod.rs:6:22
[INFO] [stdout]   |
[INFO] [stdout] 6 | use ndarray::{Array, Array1, Array2, Array3, Array4, Axis, IxDyn, s};
[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: `Add` and `Mul`
[INFO] [stdout]  --> src/tensor/mod.rs:7:16
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::ops::{Add, Mul};
[INFO] [stdout]   |                ^^^  ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array2`, `Array`, `Axis`, and `s`
[INFO] [stdout]  --> src/tensor/ops.rs:4:15
[INFO] [stdout]   |
[INFO] [stdout] 4 | use ndarray::{Array, Array2, Axis, s};
[INFO] [stdout]   |               ^^^^^  ^^^^^^  ^^^^  ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::f32::consts::PI`
[INFO] [stdout]  --> src/tensor/ops.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::f32::consts::PI;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::transformer::Transformer`
[INFO] [stdout]  --> src/training/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::transformer::Transformer;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/training/optimizer.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `initializer`
[INFO] [stdout]  --> src/inference/mod.rs:5:29
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::tensor::{Tensor, initializer};
[INFO] [stdout]   |                             ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/utils/mod.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::path::Path`
[INFO] [stdout]  --> src/utils/mod.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use std::path::Path;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::Tensor`
[INFO] [stdout]  --> src/utils/data.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::tensor::Tensor;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/inference/mod.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_shape`
[INFO] [stdout]    --> src/tensor/ops.rs:129:9
[INFO] [stdout]     |
[INFO] [stdout] 129 |     let bias_shape = bias.shape();
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_shape`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets_shape`
[INFO] [stdout]    --> src/tensor/ops.rs:184:9
[INFO] [stdout]     |
[INFO] [stdout] 184 |     let targets_shape = targets.shape();
[INFO] [stdout]     |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets_shape`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `ndim`
[INFO] [stdout]   --> src/tensor/mod.rs:24:13
[INFO] [stdout]    |
[INFO] [stdout] 24 |         let ndim = shape.len();
[INFO] [stdout]    |             ^^^^ help: if this is intentional, prefix it with an underscore: `_ndim`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/inference/mod.rs:7:5
[INFO] [stdout]   |
[INFO] [stdout] 7 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `causal_mask`
[INFO] [stdout]   --> src/transformer/attention.rs:68:39
[INFO] [stdout]    |
[INFO] [stdout] 68 |     pub fn forward(&self, x: &Tensor, causal_mask: bool) -> Result<Tensor, String> {
[INFO] [stdout]    |                                       ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_causal_mask`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `query`
[INFO] [stdout]   --> src/transformer/attention.rs:95:13
[INFO] [stdout]    |
[INFO] [stdout] 95 |         let query = query.reshape(&[batch_size, seq_len, self.num_heads, self.head_dim])?;
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_query`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `key`
[INFO] [stdout]   --> src/transformer/attention.rs:96:13
[INFO] [stdout]    |
[INFO] [stdout] 96 |         let key = key.reshape(&[batch_size, seq_len, self.num_heads, self.head_dim])?;
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_key`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `k_start`
[INFO] [stdout]    --> src/transformer/attention.rs:108:21
[INFO] [stdout]     |
[INFO] [stdout] 108 |                 let k_start = q_start;
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_k_start`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_shape`
[INFO] [stdout]    --> src/tensor/ops.rs:129:9
[INFO] [stdout]     |
[INFO] [stdout] 129 |     let bias_shape = bias.shape();
[INFO] [stdout]     |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_shape`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets_shape`
[INFO] [stdout]    --> src/tensor/ops.rs:184:9
[INFO] [stdout]     |
[INFO] [stdout] 184 |     let targets_shape = targets.shape();
[INFO] [stdout]     |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets_shape`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]   --> src/transformer/mod.rs:58:13
[INFO] [stdout]    |
[INFO] [stdout] 58 |         let mut params = HashMap::new();
[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: unused variable: `ndim`
[INFO] [stdout]   --> src/tensor/mod.rs:24:13
[INFO] [stdout]    |
[INFO] [stdout] 24 |         let ndim = shape.len();
[INFO] [stdout]    |             ^^^^ help: if this is intentional, prefix it with an underscore: `_ndim`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `gradients`
[INFO] [stdout]   --> src/training/optimizer.rs:48:24
[INFO] [stdout]    |
[INFO] [stdout] 48 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]    |                        ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gradients`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lr`
[INFO] [stdout]   --> src/training/optimizer.rs:51:13
[INFO] [stdout]    |
[INFO] [stdout] 51 |         let lr = learning_rate;
[INFO] [stdout]    |             ^^ help: if this is intentional, prefix it with an underscore: `_lr`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_correction1`
[INFO] [stdout]   --> src/training/optimizer.rs:55:13
[INFO] [stdout]    |
[INFO] [stdout] 55 |         let bias_correction1 = 1.0 - self.beta1.powf(t);
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_correction1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_correction2`
[INFO] [stdout]   --> src/training/optimizer.rs:56:13
[INFO] [stdout]    |
[INFO] [stdout] 56 |         let bias_correction2 = 1.0 - self.beta2.powf(t);
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_correction2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `gradients`
[INFO] [stdout]    --> src/training/optimizer.rs:102:24
[INFO] [stdout]     |
[INFO] [stdout] 102 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]     |                        ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gradients`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `learning_rate`
[INFO] [stdout]    --> src/training/optimizer.rs:102:47
[INFO] [stdout]     |
[INFO] [stdout] 102 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]     |                                               ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `causal_mask`
[INFO] [stdout]   --> src/transformer/attention.rs:68:39
[INFO] [stdout]    |
[INFO] [stdout] 68 |     pub fn forward(&self, x: &Tensor, causal_mask: bool) -> Result<Tensor, String> {
[INFO] [stdout]    |                                       ^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_causal_mask`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `query`
[INFO] [stdout]   --> src/transformer/attention.rs:95:13
[INFO] [stdout]    |
[INFO] [stdout] 95 |         let query = query.reshape(&[batch_size, seq_len, self.num_heads, self.head_dim])?;
[INFO] [stdout]    |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_query`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `key`
[INFO] [stdout]   --> src/transformer/attention.rs:96:13
[INFO] [stdout]    |
[INFO] [stdout] 96 |         let key = key.reshape(&[batch_size, seq_len, self.num_heads, self.head_dim])?;
[INFO] [stdout]    |             ^^^ help: if this is intentional, prefix it with an underscore: `_key`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `k_start`
[INFO] [stdout]    --> src/transformer/attention.rs:108:21
[INFO] [stdout]     |
[INFO] [stdout] 108 |                 let k_start = q_start;
[INFO] [stdout]     |                     ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_k_start`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]   --> src/transformer/mod.rs:58:13
[INFO] [stdout]    |
[INFO] [stdout] 58 |         let mut params = HashMap::new();
[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: unused variable: `gradients`
[INFO] [stdout]   --> src/training/optimizer.rs:48:24
[INFO] [stdout]    |
[INFO] [stdout] 48 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]    |                        ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gradients`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `lr`
[INFO] [stdout]   --> src/training/optimizer.rs:51:13
[INFO] [stdout]    |
[INFO] [stdout] 51 |         let lr = learning_rate;
[INFO] [stdout]    |             ^^ help: if this is intentional, prefix it with an underscore: `_lr`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_correction1`
[INFO] [stdout]   --> src/training/optimizer.rs:55:13
[INFO] [stdout]    |
[INFO] [stdout] 55 |         let bias_correction1 = 1.0 - self.beta1.powf(t);
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_correction1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bias_correction2`
[INFO] [stdout]   --> src/training/optimizer.rs:56:13
[INFO] [stdout]    |
[INFO] [stdout] 56 |         let bias_correction2 = 1.0 - self.beta2.powf(t);
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_bias_correction2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `gradients`
[INFO] [stdout]    --> src/training/optimizer.rs:102:24
[INFO] [stdout]     |
[INFO] [stdout] 102 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]     |                        ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_gradients`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `learning_rate`
[INFO] [stdout]    --> src/training/optimizer.rs:102:47
[INFO] [stdout]     |
[INFO] [stdout] 102 |     fn step(&mut self, gradients: &Gradients, learning_rate: f32) -> Result<(), String> {
[INFO] [stdout]     |                                               ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0382]: use of moved value: `config`
[INFO] [stdout]    --> src/inference/mod.rs:148:40
[INFO] [stdout]     |
[INFO] [stdout] 146 |         let config = TransformerConfig::small();
[INFO] [stdout]     |             ------ move occurs because `config` has type `config::TransformerConfig`, which does not implement the `Copy` trait
[INFO] [stdout] 147 |         let model = Transformer::new(config).unwrap();
[INFO] [stdout]     |                                      ------ value moved here
[INFO] [stdout] 148 |         let tokenizer = Tokenizer::new(config.vocab_size);
[INFO] [stdout]     |                                        ^^^^^^^^^^^^^^^^^ value used here after move
[INFO] [stdout]     |
[INFO] [stdout] note: consider changing this parameter type in method `new` to borrow instead if owning the value isn't necessary
[INFO] [stdout]    --> src/transformer/mod.rs:42:24
[INFO] [stdout]     |
[INFO] [stdout]  42 |     pub fn new(config: TransformerConfig) -> Result<Self, String> {
[INFO] [stdout]     |            ---         ^^^^^^^^^^^^^^^^^ this parameter takes ownership of the value
[INFO] [stdout]     |            |
[INFO] [stdout]     |            in this method
[INFO] [stdout] help: consider cloning the value if the performance cost is acceptable
[INFO] [stdout]     |
[INFO] [stdout] 147 |         let model = Transformer::new(config.clone()).unwrap();
[INFO] [stdout]     |                                            ++++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `params` is never read
[INFO] [stdout]   --> src/transformer/mod.rs:37:5
[INFO] [stdout]    |
[INFO] [stdout] 23 | pub struct Transformer {
[INFO] [stdout]    |            ----------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 37 |     params: HashMap<String, Tensor>,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `learning_rate` and `epsilon` are never read
[INFO] [stdout]   --> src/training/optimizer.rs:21:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | pub struct AdamOptimizer {
[INFO] [stdout]    |            ------------- fields in this struct
[INFO] [stdout] 21 |     learning_rate: f32,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 24 |     epsilon: f32,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: fields `learning_rate`, `momentum`, and `weight_decay` are never read
[INFO] [stdout]   --> src/training/optimizer.rs:81:5
[INFO] [stdout]    |
[INFO] [stdout] 80 | pub struct SGDOptimizer {
[INFO] [stdout]    |            ------------ fields in this struct
[INFO] [stdout] 81 |     learning_rate: f32,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 82 |     momentum: f32,
[INFO] [stdout]    |     ^^^^^^^^
[INFO] [stdout] 83 |     weight_decay: f32,
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: field `shuffle` is never read
[INFO] [stdout]   --> src/utils/data.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout]  6 | pub struct DataLoader {
[INFO] [stdout]    |            ---------- field in this struct
[INFO] [stdout] ...
[INFO] [stdout] 11 |     shuffle: bool,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] For more information about this error, try `rustc --explain E0382`.
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `llm-from-scratch` (lib test) due to 1 previous error; 25 warnings emitted
[INFO] [stderr] warning: build failed, waiting for other jobs to finish...
[INFO] [stdout] warning: unused import: `tensor::initializer`
[INFO] [stdout]  --> src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     tensor::initializer,
[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: `tensor::initializer`
[INFO] [stdout]  --> src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     tensor::initializer,
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] running `Command { std: "docker" "inspect" "649add1f8c71ba7b9bba0331a0f81eea2c6c93c76fac154a801f255be4e5995a", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "649add1f8c71ba7b9bba0331a0f81eea2c6c93c76fac154a801f255be4e5995a", kill_on_drop: false }`
[INFO] [stdout] 649add1f8c71ba7b9bba0331a0f81eea2c6c93c76fac154a801f255be4e5995a
