[INFO] cloning repository https://github.com/miny342/toy-deeplearning [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/miny342/toy-deeplearning" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fminy342%2Ftoy-deeplearning", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fminy342%2Ftoy-deeplearning'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 32822f358a25cb555633e95e98e87e426f48c405 [INFO] testing miny342/toy-deeplearning against master#cdb45c87e2cd43495379f7e867e3cc15dcee9f93 for pr-145838-1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fminy342%2Ftoy-deeplearning" "/workspace/builds/worker-1-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-1-tc1/source'... [INFO] [stderr] done. [INFO] started tweaking git repo https://github.com/miny342/toy-deeplearning [INFO] finished tweaking git repo https://github.com/miny342/toy-deeplearning [INFO] tweaked toml for git repo https://github.com/miny342/toy-deeplearning written to /workspace/builds/worker-1-tc1/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/miny342/toy-deeplearning on toolchain cdb45c87e2cd43495379f7e867e3cc15dcee9f93 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/miny342/toy-deeplearning 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" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] b801657262a39390fbb301ae013b988c4fabaf789af2ee19bc70f1facd51b0b3 [INFO] running `Command { std: "docker" "start" "-a" "b801657262a39390fbb301ae013b988c4fabaf789af2ee19bc70f1facd51b0b3", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "b801657262a39390fbb301ae013b988c4fabaf789af2ee19bc70f1facd51b0b3", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "b801657262a39390fbb301ae013b988c4fabaf789af2ee19bc70f1facd51b0b3", kill_on_drop: false }` [INFO] [stdout] b801657262a39390fbb301ae013b988c4fabaf789af2ee19bc70f1facd51b0b3 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 55751ad5373201ed587ed503ab4664cddb82ad1c13ddaf9286a10001ef6e270e [INFO] running `Command { std: "docker" "start" "-a" "55751ad5373201ed587ed503ab4664cddb82ad1c13ddaf9286a10001ef6e270e", kill_on_drop: false }` [INFO] [stderr] Compiling libc v0.2.153 [INFO] [stderr] Compiling autocfg v1.2.0 [INFO] [stderr] Compiling ppv-lite86 v0.2.17 [INFO] [stderr] Compiling num-traits v0.2.18 [INFO] [stderr] Compiling getrandom v0.2.14 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling toy-deeplearning v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/nn2.rs:27:26 [INFO] [stdout] | [INFO] [stdout] 27 | fn update(&mut self, learning_rate: f64) {} [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: `l` [INFO] [stdout] --> src/main.rs:67:9 [INFO] [stdout] | [INFO] [stdout] 67 | for l in 0..1 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_l` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `zeroed`, `normal`, `attach`, and `sum` are never used [INFO] [stdout] --> src/nn.rs:22:8 [INFO] [stdout] | [INFO] [stdout] 21 | impl Matrix { [INFO] [stdout] | ------------------------------------------------- associated items in this implementation [INFO] [stdout] 22 | fn zeroed() -> Self { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 25 | fn normal() -> Self { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 30 | fn attach f64>(&self, mut f: F) -> Matrix { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 59 | fn sum(&self) -> f64 { [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait `Layer` is never used [INFO] [stdout] --> src/nn.rs:136:7 [INFO] [stdout] | [INFO] [stdout] 136 | trait Layer { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `LeakyRelu` is never constructed [INFO] [stdout] --> src/nn.rs:141:8 [INFO] [stdout] | [INFO] [stdout] 141 | struct LeakyRelu { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:146:8 [INFO] [stdout] | [INFO] [stdout] 145 | impl LeakyRelu { [INFO] [stdout] | ---------------------------------------------------- associated function in this implementation [INFO] [stdout] 146 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `Sigmoid` is never constructed [INFO] [stdout] --> src/nn.rs:161:8 [INFO] [stdout] | [INFO] [stdout] 161 | struct Sigmoid { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:166:8 [INFO] [stdout] | [INFO] [stdout] 165 | impl Sigmoid { [INFO] [stdout] | -------------------------------------------------- associated function in this implementation [INFO] [stdout] 166 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `Affine` is never constructed [INFO] [stdout] --> src/nn.rs:181:8 [INFO] [stdout] | [INFO] [stdout] 181 | struct Affine { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:190:8 [INFO] [stdout] | [INFO] [stdout] 189 | impl Affine { [INFO] [stdout] | -------------------------------------------------------------------- associated function in this implementation [INFO] [stdout] 190 | fn new(w: Matrix, b: Matrix<1, O>) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `softmax` is never used [INFO] [stdout] --> src/nn.rs:218:4 [INFO] [stdout] | [INFO] [stdout] 218 | fn softmax(m: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `cross_entropy_error` is never used [INFO] [stdout] --> src/nn.rs:248:4 [INFO] [stdout] | [INFO] [stdout] 248 | fn cross_entropy_error(y: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `SoftmaxWithLoss` is never constructed [INFO] [stdout] --> src/nn.rs:261:8 [INFO] [stdout] | [INFO] [stdout] 261 | struct SoftmaxWithLoss { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `new`, `forward`, and `backward` are never used [INFO] [stdout] --> src/nn.rs:268:8 [INFO] [stdout] | [INFO] [stdout] 267 | impl SoftmaxWithLoss { [INFO] [stdout] | ---------------------------------------------------------- associated items in this implementation [INFO] [stdout] 268 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 271 | fn forward(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 277 | fn backward(&self) -> Matrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `TwoLayerNet` is never constructed [INFO] [stdout] --> src/nn.rs:282:12 [INFO] [stdout] | [INFO] [stdout] 282 | pub struct TwoLayerNet { [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `new`, `predict`, `loss`, `accuracy`, and `train` are never used [INFO] [stdout] --> src/nn.rs:290:12 [INFO] [stdout] | [INFO] [stdout] 289 | impl TwoLayerNet { [INFO] [stdout] | -------------------------------------------------------------------------------------------- associated items in this implementation [INFO] [stdout] 290 | pub fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 298 | pub fn predict(&mut self, x: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 304 | pub fn loss(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^ [INFO] [stdout] ... [INFO] [stdout] 308 | pub fn accuracy(&mut self, x: Matrix, t: Matrix) -> f64 { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 340 | pub fn train(&mut self, x: Matrix, t: Matrix, learning_rate: f64) { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new_onedim` is never used [INFO] [stdout] --> src/matrix.rs:93:12 [INFO] [stdout] | [INFO] [stdout] 79 | impl Matrix { [INFO] [stdout] | ----------- associated function in this implementation [INFO] [stdout] ... [INFO] [stdout] 93 | pub fn new_onedim(size: (usize, usize), it: &[f64]) -> Matrix { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn2.rs:39:8 [INFO] [stdout] | [INFO] [stdout] 38 | impl Affine { [INFO] [stdout] | ----------- associated function in this implementation [INFO] [stdout] 39 | fn new(w: Matrix, b: Matrix) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 3.85s [INFO] running `Command { std: "docker" "inspect" "55751ad5373201ed587ed503ab4664cddb82ad1c13ddaf9286a10001ef6e270e", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "55751ad5373201ed587ed503ab4664cddb82ad1c13ddaf9286a10001ef6e270e", kill_on_drop: false }` [INFO] [stdout] 55751ad5373201ed587ed503ab4664cddb82ad1c13ddaf9286a10001ef6e270e [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 20ae8208934609a02e24f06761b28d3ae22eb513763d7bab9d596434f2f45526 [INFO] running `Command { std: "docker" "start" "-a" "20ae8208934609a02e24f06761b28d3ae22eb513763d7bab9d596434f2f45526", kill_on_drop: false }` [INFO] [stderr] Compiling toy-deeplearning v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused variable: `learning_rate` [INFO] [stdout] --> src/nn2.rs:27:26 [INFO] [stdout] | [INFO] [stdout] 27 | fn update(&mut self, learning_rate: f64) {} [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: `l` [INFO] [stdout] --> src/main.rs:67:9 [INFO] [stdout] | [INFO] [stdout] 67 | for l in 0..1 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_l` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `zeroed`, `normal`, `attach`, and `sum` are never used [INFO] [stdout] --> src/nn.rs:22:8 [INFO] [stdout] | [INFO] [stdout] 21 | impl Matrix { [INFO] [stdout] | ------------------------------------------------- associated items in this implementation [INFO] [stdout] 22 | fn zeroed() -> Self { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 25 | fn normal() -> Self { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 30 | fn attach f64>(&self, mut f: F) -> Matrix { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 59 | fn sum(&self) -> f64 { [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait `Layer` is never used [INFO] [stdout] --> src/nn.rs:136:7 [INFO] [stdout] | [INFO] [stdout] 136 | trait Layer { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `LeakyRelu` is never constructed [INFO] [stdout] --> src/nn.rs:141:8 [INFO] [stdout] | [INFO] [stdout] 141 | struct LeakyRelu { [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:146:8 [INFO] [stdout] | [INFO] [stdout] 145 | impl LeakyRelu { [INFO] [stdout] | ---------------------------------------------------- associated function in this implementation [INFO] [stdout] 146 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `Sigmoid` is never constructed [INFO] [stdout] --> src/nn.rs:161:8 [INFO] [stdout] | [INFO] [stdout] 161 | struct Sigmoid { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:166:8 [INFO] [stdout] | [INFO] [stdout] 165 | impl Sigmoid { [INFO] [stdout] | -------------------------------------------------- associated function in this implementation [INFO] [stdout] 166 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `Affine` is never constructed [INFO] [stdout] --> src/nn.rs:181:8 [INFO] [stdout] | [INFO] [stdout] 181 | struct Affine { [INFO] [stdout] | ^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn.rs:190:8 [INFO] [stdout] | [INFO] [stdout] 189 | impl Affine { [INFO] [stdout] | -------------------------------------------------------------------- associated function in this implementation [INFO] [stdout] 190 | fn new(w: Matrix, b: Matrix<1, O>) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `softmax` is never used [INFO] [stdout] --> src/nn.rs:218:4 [INFO] [stdout] | [INFO] [stdout] 218 | fn softmax(m: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function `cross_entropy_error` is never used [INFO] [stdout] --> src/nn.rs:248:4 [INFO] [stdout] | [INFO] [stdout] 248 | fn cross_entropy_error(y: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `SoftmaxWithLoss` is never constructed [INFO] [stdout] --> src/nn.rs:261:8 [INFO] [stdout] | [INFO] [stdout] 261 | struct SoftmaxWithLoss { [INFO] [stdout] | ^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `new`, `forward`, and `backward` are never used [INFO] [stdout] --> src/nn.rs:268:8 [INFO] [stdout] | [INFO] [stdout] 267 | impl SoftmaxWithLoss { [INFO] [stdout] | ---------------------------------------------------------- associated items in this implementation [INFO] [stdout] 268 | fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 271 | fn forward(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 277 | fn backward(&self) -> Matrix { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: struct `TwoLayerNet` is never constructed [INFO] [stdout] --> src/nn.rs:282:12 [INFO] [stdout] | [INFO] [stdout] 282 | pub struct TwoLayerNet { [INFO] [stdout] | ^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated items `new`, `predict`, `loss`, `accuracy`, and `train` are never used [INFO] [stdout] --> src/nn.rs:290:12 [INFO] [stdout] | [INFO] [stdout] 289 | impl TwoLayerNet { [INFO] [stdout] | -------------------------------------------------------------------------------------------- associated items in this implementation [INFO] [stdout] 290 | pub fn new() -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] ... [INFO] [stdout] 298 | pub fn predict(&mut self, x: Matrix) -> Matrix { [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 304 | pub fn loss(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stdout] | ^^^^ [INFO] [stdout] ... [INFO] [stdout] 308 | pub fn accuracy(&mut self, x: Matrix, t: Matrix) -> f64 { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] ... [INFO] [stdout] 340 | pub fn train(&mut self, x: Matrix, t: Matrix, learning_rate: f64) { [INFO] [stdout] | ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new_onedim` is never used [INFO] [stdout] --> src/matrix.rs:93:12 [INFO] [stdout] | [INFO] [stdout] 79 | impl Matrix { [INFO] [stdout] | ----------- associated function in this implementation [INFO] [stdout] ... [INFO] [stdout] 93 | pub fn new_onedim(size: (usize, usize), it: &[f64]) -> Matrix { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: associated function `new` is never used [INFO] [stdout] --> src/nn2.rs:39:8 [INFO] [stdout] | [INFO] [stdout] 38 | impl Affine { [INFO] [stdout] | ----------- associated function in this implementation [INFO] [stdout] 39 | fn new(w: Matrix, b: Matrix) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 0.44s [INFO] running `Command { std: "docker" "inspect" "20ae8208934609a02e24f06761b28d3ae22eb513763d7bab9d596434f2f45526", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "20ae8208934609a02e24f06761b28d3ae22eb513763d7bab9d596434f2f45526", kill_on_drop: false }` [INFO] [stdout] 20ae8208934609a02e24f06761b28d3ae22eb513763d7bab9d596434f2f45526 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:7ad1b28ee6f5f7f699f6cf7015098d6ccdd96d6f2d78dd06228f5b4c9faf309c" "/opt/rustwide/cargo-home/bin/cargo" "+cdb45c87e2cd43495379f7e867e3cc15dcee9f93" "test" "--frozen", kill_on_drop: false }` [INFO] [stdout] ff8eb0d1d2e29554e85f0c7417f660887a309df59700f33170d014e97277a506 [INFO] running `Command { std: "docker" "start" "-a" "ff8eb0d1d2e29554e85f0c7417f660887a309df59700f33170d014e97277a506", kill_on_drop: false }` [INFO] [stderr] warning: unused variable: `learning_rate` [INFO] [stderr] --> src/nn2.rs:27:26 [INFO] [stderr] | [INFO] [stderr] 27 | fn update(&mut self, learning_rate: f64) {} [INFO] [stderr] | ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `l` [INFO] [stderr] --> src/main.rs:67:9 [INFO] [stderr] | [INFO] [stderr] 67 | for l in 0..1 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_l` [INFO] [stderr] [INFO] [stderr] warning: associated items `zeroed`, `normal`, `attach`, and `sum` are never used [INFO] [stderr] --> src/nn.rs:22:8 [INFO] [stderr] | [INFO] [stderr] 21 | impl Matrix { [INFO] [stderr] | ------------------------------------------------- associated items in this implementation [INFO] [stderr] 22 | fn zeroed() -> Self { [INFO] [stderr] | ^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 25 | fn normal() -> Self { [INFO] [stderr] | ^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 30 | fn attach f64>(&self, mut f: F) -> Matrix { [INFO] [stderr] | ^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 59 | fn sum(&self) -> f64 { [INFO] [stderr] | ^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default [INFO] [stderr] [INFO] [stderr] warning: trait `Layer` is never used [INFO] [stderr] --> src/nn.rs:136:7 [INFO] [stderr] | [INFO] [stderr] 136 | trait Layer { [INFO] [stderr] | ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: struct `LeakyRelu` is never constructed [INFO] [stderr] --> src/nn.rs:141:8 [INFO] [stderr] | [INFO] [stderr] 141 | struct LeakyRelu { [INFO] [stderr] | ^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated function `new` is never used [INFO] [stderr] --> src/nn.rs:146:8 [INFO] [stderr] | [INFO] [stderr] 145 | impl LeakyRelu { [INFO] [stderr] | ---------------------------------------------------- associated function in this implementation [INFO] [stderr] 146 | fn new() -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: struct `Sigmoid` is never constructed [INFO] [stderr] --> src/nn.rs:161:8 [INFO] [stderr] | [INFO] [stderr] 161 | struct Sigmoid { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated function `new` is never used [INFO] [stderr] --> src/nn.rs:166:8 [INFO] [stderr] | [INFO] [stderr] 165 | impl Sigmoid { [INFO] [stderr] | -------------------------------------------------- associated function in this implementation [INFO] [stderr] 166 | fn new() -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: struct `Affine` is never constructed [INFO] [stderr] --> src/nn.rs:181:8 [INFO] [stderr] | [INFO] [stderr] 181 | struct Affine { [INFO] [stderr] | ^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated function `new` is never used [INFO] [stderr] --> src/nn.rs:190:8 [INFO] [stderr] | [INFO] [stderr] 189 | impl Affine { [INFO] [stderr] | -------------------------------------------------------------------- associated function in this implementation [INFO] [stderr] 190 | fn new(w: Matrix, b: Matrix<1, O>) -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: function `softmax` is never used [INFO] [stderr] --> src/nn.rs:218:4 [INFO] [stderr] | [INFO] [stderr] 218 | fn softmax(m: Matrix) -> Matrix { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: function `cross_entropy_error` is never used [INFO] [stderr] --> src/nn.rs:248:4 [INFO] [stderr] | [INFO] [stderr] 248 | fn cross_entropy_error(y: Matrix, t: Matrix) -> Matrix { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: struct `SoftmaxWithLoss` is never constructed [INFO] [stderr] --> src/nn.rs:261:8 [INFO] [stderr] | [INFO] [stderr] 261 | struct SoftmaxWithLoss { [INFO] [stderr] | ^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated items `new`, `forward`, and `backward` are never used [INFO] [stderr] --> src/nn.rs:268:8 [INFO] [stderr] | [INFO] [stderr] 267 | impl SoftmaxWithLoss { [INFO] [stderr] | ---------------------------------------------------------- associated items in this implementation [INFO] [stderr] 268 | fn new() -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] ... [INFO] [stderr] 271 | fn forward(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 277 | fn backward(&self) -> Matrix { [INFO] [stderr] | ^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: struct `TwoLayerNet` is never constructed [INFO] [stderr] --> src/nn.rs:282:12 [INFO] [stderr] | [INFO] [stderr] 282 | pub struct TwoLayerNet { [INFO] [stderr] | ^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated items `new`, `predict`, `loss`, `accuracy`, and `train` are never used [INFO] [stderr] --> src/nn.rs:290:12 [INFO] [stderr] | [INFO] [stderr] 289 | impl TwoLayerNet { [INFO] [stderr] | -------------------------------------------------------------------------------------------- associated items in this implementation [INFO] [stderr] 290 | pub fn new() -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] ... [INFO] [stderr] 298 | pub fn predict(&mut self, x: Matrix) -> Matrix { [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 304 | pub fn loss(&mut self, x: Matrix, t: Matrix) -> Matrix { [INFO] [stderr] | ^^^^ [INFO] [stderr] ... [INFO] [stderr] 308 | pub fn accuracy(&mut self, x: Matrix, t: Matrix) -> f64 { [INFO] [stderr] | ^^^^^^^^ [INFO] [stderr] ... [INFO] [stderr] 340 | pub fn train(&mut self, x: Matrix, t: Matrix, learning_rate: f64) { [INFO] [stderr] | ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated function `new_onedim` is never used [INFO] [stderr] --> src/matrix.rs:93:12 [INFO] [stderr] | [INFO] [stderr] 79 | impl Matrix { [INFO] [stderr] | ----------- associated function in this implementation [INFO] [stderr] ... [INFO] [stderr] 93 | pub fn new_onedim(size: (usize, usize), it: &[f64]) -> Matrix { [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: associated function `new` is never used [INFO] [stderr] --> src/nn2.rs:39:8 [INFO] [stderr] | [INFO] [stderr] 38 | impl Affine { [INFO] [stderr] | ----------- associated function in this implementation [INFO] [stderr] 39 | fn new(w: Matrix, b: Matrix) -> Self { [INFO] [stderr] | ^^^ [INFO] [stderr] [INFO] [stderr] warning: `toy-deeplearning` (bin "toy-deeplearning" test) generated 18 warnings [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 0.06s [INFO] [stderr] Running unittests src/main.rs (/opt/rustwide/target/debug/deps/toy_deeplearning-7a29e32454a45a51) [INFO] [stdout] [INFO] [stdout] running 0 tests [INFO] [stdout] [INFO] [stdout] test result: ok. 0 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out; finished in 0.00s [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "ff8eb0d1d2e29554e85f0c7417f660887a309df59700f33170d014e97277a506", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "ff8eb0d1d2e29554e85f0c7417f660887a309df59700f33170d014e97277a506", kill_on_drop: false }` [INFO] [stdout] ff8eb0d1d2e29554e85f0c7417f660887a309df59700f33170d014e97277a506