[INFO] cloning repository https://github.com/iofuwisa/learning_rust_dl [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/iofuwisa/learning_rust_dl" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fiofuwisa%2Flearning_rust_dl", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fiofuwisa%2Flearning_rust_dl'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] 8459668244848a9ea2d6d16811c6080ce5d45f54 [INFO] testing iofuwisa/learning_rust_dl against beta-2022-04-10 for beta-1.61-1 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fiofuwisa%2Flearning_rust_dl" "/workspace/builds/worker-7/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-7/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/iofuwisa/learning_rust_dl on toolchain beta-2022-04-10 [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+beta-2022-04-10" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/iofuwisa/learning_rust_dl [INFO] finished tweaking git repo https://github.com/iofuwisa/learning_rust_dl [INFO] tweaked toml for git repo https://github.com/iofuwisa/learning_rust_dl written to /workspace/builds/worker-7/source/Cargo.toml [INFO] crate git repo https://github.com/iofuwisa/learning_rust_dl already has a lockfile, it will not be regenerated [INFO] running `Command { std: "/workspace/cargo-home/bin/cargo" "+beta-2022-04-10" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/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:eaef2f80f755933c374d2ae5edccceec0c1312ceb8a4e0b6404e8ab76561e1e5" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2022-04-10" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] bae164c30956e9d2bc4525a3308ab8554b9e07067ac3e30dd141fd842761a9c2 [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] running `Command { std: "docker" "start" "-a" "bae164c30956e9d2bc4525a3308ab8554b9e07067ac3e30dd141fd842761a9c2", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "bae164c30956e9d2bc4525a3308ab8554b9e07067ac3e30dd141fd842761a9c2", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "bae164c30956e9d2bc4525a3308ab8554b9e07067ac3e30dd141fd842761a9c2", kill_on_drop: false }` [INFO] [stdout] bae164c30956e9d2bc4525a3308ab8554b9e07067ac3e30dd141fd842761a9c2 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/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=warn" "-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:eaef2f80f755933c374d2ae5edccceec0c1312ceb8a4e0b6404e8ab76561e1e5" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2022-04-10" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] [stdout] 931a0306e86c0ef5e4e851cc7cf6c018d7eb236ea2cc472a0d844bc6dc80c902 [INFO] running `Command { std: "docker" "start" "-a" "931a0306e86c0ef5e4e851cc7cf6c018d7eb236ea2cc472a0d844bc6dc80c902", kill_on_drop: false }` [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Blocking waiting for file lock on package cache [INFO] [stderr] Compiling libc v0.2.102 [INFO] [stderr] Compiling cc v1.0.70 [INFO] [stderr] Compiling syn v1.0.77 [INFO] [stderr] Compiling wasm-bindgen-shared v0.2.78 [INFO] [stderr] Compiling bumpalo v3.7.1 [INFO] [stderr] Compiling wasm-bindgen v0.2.78 [INFO] [stderr] Compiling matrixmultiply v0.1.15 [INFO] [stderr] Compiling rawpointer v0.1.0 [INFO] [stderr] Compiling servo-fontconfig-sys v5.1.0 [INFO] [stderr] Compiling mnist v0.4.1 [INFO] [stderr] Compiling gif v0.11.2 [INFO] [stderr] Compiling matrixmultiply v0.3.1 [INFO] [stderr] Compiling num-complex v0.4.0 [INFO] [stderr] Compiling num-iter v0.1.42 [INFO] [stderr] Compiling num-rational v0.3.2 [INFO] [stderr] Compiling num v0.1.42 [INFO] [stderr] Compiling ndarray v0.15.3 [INFO] [stderr] Compiling image v0.23.14 [INFO] [stderr] Compiling rulinalg v0.4.2 [INFO] [stderr] Compiling cmake v0.1.45 [INFO] [stderr] Compiling freetype-sys v0.13.1 [INFO] [stderr] Compiling expat-sys v2.1.6 [INFO] [stderr] Compiling getrandom v0.2.3 [INFO] [stderr] Compiling dirs-sys-next v0.1.2 [INFO] [stderr] Compiling time v0.1.44 [INFO] [stderr] Compiling dirs-next v2.0.0 [INFO] [stderr] Compiling rand_core v0.6.3 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling chrono v0.4.19 [INFO] [stderr] Compiling rand v0.8.4 [INFO] [stderr] Compiling freetype v0.7.0 [INFO] [stderr] Compiling servo-fontconfig v0.5.1 [INFO] [stderr] Compiling font-kit v0.10.1 [INFO] [stderr] Compiling plotters-bitmap v0.3.1 [INFO] [stderr] Compiling plotters v0.3.1 [INFO] [stderr] Compiling wasm-bindgen-backend v0.2.78 [INFO] [stderr] Compiling wasm-bindgen-macro-support v0.2.78 [INFO] [stderr] Compiling wasm-bindgen-macro v0.2.78 [INFO] [stderr] Compiling serde_derive v1.0.130 [INFO] [stderr] Compiling js-sys v0.3.55 [INFO] [stderr] Compiling web-sys v0.3.55 [INFO] [stderr] Compiling wasm-bindgen-futures v0.4.28 [INFO] [stderr] Compiling serde v1.0.130 [INFO] [stderr] Compiling deep_learning v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `crate::deep_learning::statistics::*` [INFO] [stdout] --> src/deep_learning/common.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::deep_learning::statistics::*; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:15 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::deep_learning::*` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:10:5 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::deep_learning::*; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/relu.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ArrayView1` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | ArrayView1, [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/image.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | s, [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:124:75 [INFO] [stdout] | [INFO] [stdout] 124 | pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` on by default [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 124 - pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] 124 + pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:148:44 [INFO] [stdout] | [INFO] [stdout] 148 | pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 148 - pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] 148 + pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:57 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 21 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 21 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:80:57 [INFO] [stdout] | [INFO] [stdout] 80 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 80 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 80 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine.rs:166:57 [INFO] [stdout] | [INFO] [stdout] 166 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 166 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 166 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:112:57 [INFO] [stdout] | [INFO] [stdout] 112 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 112 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 112 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/relu.rs:91:57 [INFO] [stdout] | [INFO] [stdout] 91 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 91 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 91 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:95:57 [INFO] [stdout] | [INFO] [stdout] 95 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 95 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 95 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:236:57 [INFO] [stdout] | [INFO] [stdout] 236 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 236 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 236 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:122:57 [INFO] [stdout] | [INFO] [stdout] 122 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 122 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 122 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:115:57 [INFO] [stdout] | [INFO] [stdout] 115 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 115 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 115 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:261:57 [INFO] [stdout] | [INFO] [stdout] 261 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 261 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 261 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:173:57 [INFO] [stdout] | [INFO] [stdout] 173 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 173 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 173 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:45 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:34 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:45 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/deep_learning/common.rs:105:9 [INFO] [stdout] | [INFO] [stdout] 105 | for i in 0..size { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `file` [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:22 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_file` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `dw` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:144:13 [INFO] [stdout] | [INFO] [stdout] 144 | let dw = backword_broadcast(&(normalized * &dout)); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_dw` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `db` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:146:13 [INFO] [stdout] | [INFO] [stdout] 146 | let db = dout.sum_axis(Axis(0)).to_shared().reshape((1, w.shape()[1])).to_owned(); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_db` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:47:13 [INFO] [stdout] | [INFO] [stdout] 47 | let filter = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `bias` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:48:13 [INFO] [stdout] | [INFO] [stdout] 48 | let bias = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_bias` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `col_index` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:294:17 [INFO] [stdout] | [INFO] [stdout] 294 | let col_index = y * filter_w + x; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_col_index` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:181:18 [INFO] [stdout] | [INFO] [stdout] 181 | let (batch_num, _channel_num, _data_h, _data_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:182:18 [INFO] [stdout] | [INFO] [stdout] 182 | let (filter_num, _channel_num, filter_h, filter_w) = self.filter_shape; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:202:14 [INFO] [stdout] | [INFO] [stdout] 202 | let (batch_num, channel_num, x_h, x_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:227:13 [INFO] [stdout] | [INFO] [stdout] 227 | let mut df = col_x_2d.t().dot(&dout_2d).t().to_owned(); [INFO] [stdout] | ----^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function cannot return without recursing [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:257:5 [INFO] [stdout] | [INFO] [stdout] 257 | fn weight_sum(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing [INFO] [stdout] 258 | return self.weight_sum(); [INFO] [stdout] | ----------------- recursive call site [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unconditional_recursion)]` on by default [INFO] [stdout] = help: a `loop` may express intention better if this is on purpose [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/momentum.rs:26:13 [INFO] [stdout] | [INFO] [stdout] 26 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/rmsprop.rs:27:13 [INFO] [stdout] | [INFO] [stdout] 27 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adagrad.rs:25:13 [INFO] [stdout] | [INFO] [stdout] 25 | let mut grad_squared_sum = self.grad_squared_sum.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:35:13 [INFO] [stdout] | [INFO] [stdout] 35 | let mut m = self.m.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:40:13 [INFO] [stdout] | [INFO] [stdout] 40 | let mut v = self.v.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `broadcast_rows` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:382:4 [INFO] [stdout] | [INFO] [stdout] 382 | fn broadcast_rows(data: &Array2, row_num: usize) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `trn_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:37:13 [INFO] [stdout] | [INFO] [stdout] 37 | trn_img: trn_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_shorthand_field_patterns)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `val_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:39:13 [INFO] [stdout] | [INFO] [stdout] 39 | val_img: val_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `tst_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:41:13 [INFO] [stdout] | [INFO] [stdout] 41 | tst_img: tst_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:85:9 [INFO] [stdout] | [INFO] [stdout] 85 | plot_rate(correct_rates, "correct_rate"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:86:9 [INFO] [stdout] | [INFO] [stdout] 86 | plot_loss(losses, "loss"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:156:9 [INFO] [stdout] | [INFO] [stdout] 156 | self.last_layer.export(&mut file); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:100:13 [INFO] [stdout] | [INFO] [stdout] 100 | plot_bias_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:102:13 [INFO] [stdout] | [INFO] [stdout] 102 | plot_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 58 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `trn_lbl` [INFO] [stdout] --> src/main.rs:46:9 [INFO] [stdout] | [INFO] [stdout] 46 | let trn_lbl = mnist.get_trn_lbl(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_trn_lbl` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tst_lbl` [INFO] [stdout] --> src/main.rs:50:9 [INFO] [stdout] | [INFO] [stdout] 50 | let tst_lbl = mnist.get_tst_lbl(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tst_lbl` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/main.rs:54:9 [INFO] [stdout] | [INFO] [stdout] 54 | let mut trn_img_bi = Array2::::from_shape_fn( [INFO] [stdout] | ----^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/main.rs:58:9 [INFO] [stdout] | [INFO] [stdout] 58 | let mut tst_img_bi = Array2::::from_shape_fn( [INFO] [stdout] | ----^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `DROUPOUT_RATE` [INFO] [stdout] --> src/main.rs:20:1 [INFO] [stdout] | [INFO] [stdout] 20 | const DROUPOUT_RATE: f64 = 0.15; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `SGD_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:21:1 [INFO] [stdout] | [INFO] [stdout] 21 | const SGD_LEARNING_RATE: f64 = 0.001; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MOMENTUM_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:22:1 [INFO] [stdout] | [INFO] [stdout] 22 | const MOMENTUM_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MOMENTUM_FLICTION` [INFO] [stdout] --> src/main.rs:23:1 [INFO] [stdout] | [INFO] [stdout] 23 | const MOMENTUM_FLICTION: f64 = 0.9; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `RMSPROP_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:24:1 [INFO] [stdout] | [INFO] [stdout] 24 | const RMSPROP_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `RMSPROP_FLICTION` [INFO] [stdout] --> src/main.rs:25:1 [INFO] [stdout] | [INFO] [stdout] 25 | const RMSPROP_FLICTION: f64 = 0.99; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `ADAGRAD_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:26:1 [INFO] [stdout] | [INFO] [stdout] 26 | const ADAGRAD_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `guess_main` [INFO] [stdout] --> src/main.rs:198:4 [INFO] [stdout] | [INFO] [stdout] 198 | fn guess_main() { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 12 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished dev [unoptimized + debuginfo] target(s) in 2m 03s [INFO] running `Command { std: "docker" "inspect" "931a0306e86c0ef5e4e851cc7cf6c018d7eb236ea2cc472a0d844bc6dc80c902", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "931a0306e86c0ef5e4e851cc7cf6c018d7eb236ea2cc472a0d844bc6dc80c902", kill_on_drop: false }` [INFO] [stdout] 931a0306e86c0ef5e4e851cc7cf6c018d7eb236ea2cc472a0d844bc6dc80c902 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/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=warn" "-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:eaef2f80f755933c374d2ae5edccceec0c1312ceb8a4e0b6404e8ab76561e1e5" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2022-04-10" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 39838ff69eafb16cc110e50154042bd7a94459291e6d1732a15e9ce0243b2193 [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] running `Command { std: "docker" "start" "-a" "39838ff69eafb16cc110e50154042bd7a94459291e6d1732a15e9ce0243b2193", kill_on_drop: false }` [INFO] [stderr] Compiling termtree v0.2.1 [INFO] [stderr] Compiling downcast v0.10.0 [INFO] [stderr] Compiling fragile v1.0.0 [INFO] [stderr] Compiling float-cmp v0.8.0 [INFO] [stderr] Compiling wasm-bindgen-test-macro v0.3.28 [INFO] [stderr] Compiling mockall_derive v0.10.2 [INFO] [stderr] Compiling mockall_double v0.2.0 [INFO] [stderr] Compiling console_error_panic_hook v0.1.6 [INFO] [stdout] warning: unused import: `crate::deep_learning::statistics::*` [INFO] [stdout] --> src/deep_learning/common.rs:12:5 [INFO] [stdout] | [INFO] [stdout] 12 | use crate::deep_learning::statistics::*; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:15 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::deep_learning::*` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:10:5 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::deep_learning::*; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/relu.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ArrayView1` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | ArrayView1, [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/image.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | s, [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:124:75 [INFO] [stdout] | [INFO] [stdout] 124 | pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` on by default [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 124 - pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] 124 + pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:148:44 [INFO] [stdout] | [INFO] [stdout] 148 | pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 148 - pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] 148 + pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:57 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 21 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 21 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:80:57 [INFO] [stdout] | [INFO] [stdout] 80 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 80 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 80 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine.rs:166:57 [INFO] [stdout] | [INFO] [stdout] 166 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 166 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 166 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:112:57 [INFO] [stdout] | [INFO] [stdout] 112 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 112 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 112 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/relu.rs:91:57 [INFO] [stdout] | [INFO] [stdout] 91 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 91 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 91 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:95:57 [INFO] [stdout] | [INFO] [stdout] 95 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 95 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 95 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:236:57 [INFO] [stdout] | [INFO] [stdout] 236 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 236 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 236 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:122:57 [INFO] [stdout] | [INFO] [stdout] 122 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 122 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 122 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:115:57 [INFO] [stdout] | [INFO] [stdout] 115 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 115 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 115 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:261:57 [INFO] [stdout] | [INFO] [stdout] 261 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 261 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 261 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:173:57 [INFO] [stdout] | [INFO] [stdout] 173 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 173 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 173 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:45 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:34 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:45 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/deep_learning/common.rs:105:9 [INFO] [stdout] | [INFO] [stdout] 105 | for i in 0..size { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `file` [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:22 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_file` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `dw` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:144:13 [INFO] [stdout] | [INFO] [stdout] 144 | let dw = backword_broadcast(&(normalized * &dout)); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_dw` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `db` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:146:13 [INFO] [stdout] | [INFO] [stdout] 146 | let db = dout.sum_axis(Axis(0)).to_shared().reshape((1, w.shape()[1])).to_owned(); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_db` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:47:13 [INFO] [stdout] | [INFO] [stdout] 47 | let filter = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `bias` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:48:13 [INFO] [stdout] | [INFO] [stdout] 48 | let bias = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_bias` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `col_index` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:294:17 [INFO] [stdout] | [INFO] [stdout] 294 | let col_index = y * filter_w + x; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_col_index` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:181:18 [INFO] [stdout] | [INFO] [stdout] 181 | let (batch_num, _channel_num, _data_h, _data_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:182:18 [INFO] [stdout] | [INFO] [stdout] 182 | let (filter_num, _channel_num, filter_h, filter_w) = self.filter_shape; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:202:14 [INFO] [stdout] | [INFO] [stdout] 202 | let (batch_num, channel_num, x_h, x_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:227:13 [INFO] [stdout] | [INFO] [stdout] 227 | let mut df = col_x_2d.t().dot(&dout_2d).t().to_owned(); [INFO] [stdout] | ----^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function cannot return without recursing [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:257:5 [INFO] [stdout] | [INFO] [stdout] 257 | fn weight_sum(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing [INFO] [stdout] 258 | return self.weight_sum(); [INFO] [stdout] | ----------------- recursive call site [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unconditional_recursion)]` on by default [INFO] [stdout] = help: a `loop` may express intention better if this is on purpose [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/momentum.rs:26:13 [INFO] [stdout] | [INFO] [stdout] 26 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/rmsprop.rs:27:13 [INFO] [stdout] | [INFO] [stdout] 27 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adagrad.rs:25:13 [INFO] [stdout] | [INFO] [stdout] 25 | let mut grad_squared_sum = self.grad_squared_sum.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:35:13 [INFO] [stdout] | [INFO] [stdout] 35 | let mut m = self.m.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:40:13 [INFO] [stdout] | [INFO] [stdout] 40 | let mut v = self.v.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `broadcast_rows` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:382:4 [INFO] [stdout] | [INFO] [stdout] 382 | fn broadcast_rows(data: &Array2, row_num: usize) -> Array2 { [INFO] [stdout] | ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `trn_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:37:13 [INFO] [stdout] | [INFO] [stdout] 37 | trn_img: trn_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_shorthand_field_patterns)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `val_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:39:13 [INFO] [stdout] | [INFO] [stdout] 39 | val_img: val_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `tst_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:41:13 [INFO] [stdout] | [INFO] [stdout] 41 | tst_img: tst_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:85:9 [INFO] [stdout] | [INFO] [stdout] 85 | plot_rate(correct_rates, "correct_rate"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:86:9 [INFO] [stdout] | [INFO] [stdout] 86 | plot_loss(losses, "loss"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:156:9 [INFO] [stdout] | [INFO] [stdout] 156 | self.last_layer.export(&mut file); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:100:13 [INFO] [stdout] | [INFO] [stdout] 100 | plot_bias_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:102:13 [INFO] [stdout] | [INFO] [stdout] 102 | plot_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 58 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Compiling predicates v1.0.8 [INFO] [stderr] Compiling predicates-tree v1.0.4 [INFO] [stderr] Compiling wasm-bindgen-test v0.3.28 [INFO] [stderr] Compiling mockall v0.10.2 [INFO] [stderr] Compiling deep_learning v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `super::*` [INFO] [stdout] --> src/main.rs:214:9 [INFO] [stdout] | [INFO] [stdout] 214 | use super::*; [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] help: consider adding a `#[cfg(test)]` to the containing module [INFO] [stdout] --> src/main.rs:213:1 [INFO] [stdout] | [INFO] [stdout] 213 | mod test_mod { [INFO] [stdout] | ^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `trn_lbl` [INFO] [stdout] --> src/main.rs:46:9 [INFO] [stdout] | [INFO] [stdout] 46 | let trn_lbl = mnist.get_trn_lbl(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_trn_lbl` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `tst_lbl` [INFO] [stdout] --> src/main.rs:50:9 [INFO] [stdout] | [INFO] [stdout] 50 | let tst_lbl = mnist.get_tst_lbl(); [INFO] [stdout] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tst_lbl` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/main.rs:54:9 [INFO] [stdout] | [INFO] [stdout] 54 | let mut trn_img_bi = Array2::::from_shape_fn( [INFO] [stdout] | ----^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/main.rs:58:9 [INFO] [stdout] | [INFO] [stdout] 58 | let mut tst_img_bi = Array2::::from_shape_fn( [INFO] [stdout] | ----^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `DROUPOUT_RATE` [INFO] [stdout] --> src/main.rs:20:1 [INFO] [stdout] | [INFO] [stdout] 20 | const DROUPOUT_RATE: f64 = 0.15; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(dead_code)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `SGD_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:21:1 [INFO] [stdout] | [INFO] [stdout] 21 | const SGD_LEARNING_RATE: f64 = 0.001; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MOMENTUM_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:22:1 [INFO] [stdout] | [INFO] [stdout] 22 | const MOMENTUM_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `MOMENTUM_FLICTION` [INFO] [stdout] --> src/main.rs:23:1 [INFO] [stdout] | [INFO] [stdout] 23 | const MOMENTUM_FLICTION: f64 = 0.9; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `RMSPROP_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:24:1 [INFO] [stdout] | [INFO] [stdout] 24 | const RMSPROP_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `RMSPROP_FLICTION` [INFO] [stdout] --> src/main.rs:25:1 [INFO] [stdout] | [INFO] [stdout] 25 | const RMSPROP_FLICTION: f64 = 0.99; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: constant is never used: `ADAGRAD_LEARNING_RATE` [INFO] [stdout] --> src/main.rs:26:1 [INFO] [stdout] | [INFO] [stdout] 26 | const ADAGRAD_LEARNING_RATE: f64 = 0.1; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `guess_main` [INFO] [stdout] --> src/main.rs:198:4 [INFO] [stdout] | [INFO] [stdout] 198 | fn guess_main() { [INFO] [stdout] | ^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function is never used: `measure_execute_time` [INFO] [stdout] --> src/main.rs:218:8 [INFO] [stdout] | [INFO] [stdout] 218 | fn measure_execute_time(f: &dyn Fn()) -> u128 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:15 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `crate::deep_learning::*` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:10:5 [INFO] [stdout] | [INFO] [stdout] 10 | use crate::deep_learning::*; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/relu.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:15 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:15 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `s` [INFO] [stdout] --> src/image.rs:5:5 [INFO] [stdout] | [INFO] [stdout] 5 | s, [INFO] [stdout] | ^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:57 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(bare_trait_objects)]` on by default [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 21 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 21 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:124:75 [INFO] [stdout] | [INFO] [stdout] 124 | pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 124 - pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] 124 + pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/neural_network.rs:148:44 [INFO] [stdout] | [INFO] [stdout] 148 | pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 148 - pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] 148 + pub fn export(&self) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:80:57 [INFO] [stdout] | [INFO] [stdout] 80 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 80 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 80 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine.rs:166:57 [INFO] [stdout] | [INFO] [stdout] 166 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 166 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 166 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:112:57 [INFO] [stdout] | [INFO] [stdout] 112 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 112 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 112 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/relu.rs:91:57 [INFO] [stdout] | [INFO] [stdout] 91 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 91 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 91 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/sigmoid.rs:95:57 [INFO] [stdout] | [INFO] [stdout] 95 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 95 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 95 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:236:57 [INFO] [stdout] | [INFO] [stdout] 236 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 236 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 236 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:122:57 [INFO] [stdout] | [INFO] [stdout] 122 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 122 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 122 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:115:57 [INFO] [stdout] | [INFO] [stdout] 115 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 115 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 115 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:261:57 [INFO] [stdout] | [INFO] [stdout] 261 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 261 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 261 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:173:57 [INFO] [stdout] | [INFO] [stdout] 173 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stdout] = note: for more information, see [INFO] [stdout] help: use `dyn` [INFO] [stdout] | [INFO] [stdout] 173 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] 173 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 14 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/direct_value.rs:4:45 [INFO] [stdout] | [INFO] [stdout] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:2:34 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:3:45 [INFO] [stdout] | [INFO] [stdout] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `BufRead` [INFO] [stdout] --> src/deep_learning/layer/pooling.rs:2:45 [INFO] [stdout] | [INFO] [stdout] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stdout] | ^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `i` [INFO] [stdout] --> src/deep_learning/common.rs:105:9 [INFO] [stdout] | [INFO] [stdout] 105 | for i in 0..size { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `j` [INFO] [stdout] --> src/image.rs:150:17 [INFO] [stdout] | [INFO] [stdout] 150 | for j in 0..width+2 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `j` [INFO] [stdout] --> src/image.rs:161:17 [INFO] [stdout] | [INFO] [stdout] 161 | for j in 0..width+2 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `j` [INFO] [stdout] --> src/image.rs:177:17 [INFO] [stdout] | [INFO] [stdout] 177 | for j in 0..width+2 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `j` [INFO] [stdout] --> src/image.rs:188:17 [INFO] [stdout] | [INFO] [stdout] 188 | for j in 0..width+2 { [INFO] [stdout] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `lerning_rate` [INFO] [stdout] --> src/deep_learning/common.rs:176:13 [INFO] [stdout] | [INFO] [stdout] 176 | let lerning_rate = 0.05; [INFO] [stdout] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_lerning_rate` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `file` [INFO] [stdout] --> src/deep_learning/layer/network_layer.rs:21:22 [INFO] [stdout] | [INFO] [stdout] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_file` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `dw` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:144:13 [INFO] [stdout] | [INFO] [stdout] 144 | let dw = backword_broadcast(&(normalized * &dout)); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_dw` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `db` [INFO] [stdout] --> src/deep_learning/layer/batch_norm.rs:146:13 [INFO] [stdout] | [INFO] [stdout] 146 | let db = dout.sum_axis(Axis(0)).to_shared().reshape((1, w.shape()[1])).to_owned(); [INFO] [stdout] | ^^ help: if this is intentional, prefix it with an underscore: `_db` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:47:13 [INFO] [stdout] | [INFO] [stdout] 47 | let filter = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `bias` [INFO] [stdout] --> src/deep_learning/layer/dropout.rs:48:13 [INFO] [stdout] | [INFO] [stdout] 48 | let bias = neural_network::import_network_layer(lines); [INFO] [stdout] | ^^^^ help: if this is intentional, prefix it with an underscore: `_bias` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `col_index` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:294:17 [INFO] [stdout] | [INFO] [stdout] 294 | let col_index = y * filter_w + x; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_col_index` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:181:18 [INFO] [stdout] | [INFO] [stdout] 181 | let (batch_num, _channel_num, _data_h, _data_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:182:18 [INFO] [stdout] | [INFO] [stdout] 182 | let (filter_num, _channel_num, filter_h, filter_w) = self.filter_shape; [INFO] [stdout] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `batch_num` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:202:14 [INFO] [stdout] | [INFO] [stdout] 202 | let (batch_num, channel_num, x_h, x_w) = self.x_shape; [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `x_b` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:1278:14 [INFO] [stdout] | [INFO] [stdout] 1278 | let (x_b, x_c, x_h, x_w) = x_shape; [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_x_b` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `x_c` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:1278:19 [INFO] [stdout] | [INFO] [stdout] 1278 | let (x_b, x_c, x_h, x_w) = x_shape; [INFO] [stdout] | ^^^ help: if this is intentional, prefix it with an underscore: `_x_c` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter_b` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:1280:14 [INFO] [stdout] | [INFO] [stdout] 1280 | let (filter_b, filter_c, filter_h, filter_w) = filter_shape; [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_b` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `filter_c` [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:1280:24 [INFO] [stdout] | [INFO] [stdout] 1280 | let (filter_b, filter_c, filter_h, filter_w) = filter_shape; [INFO] [stdout] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_c` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:227:13 [INFO] [stdout] | [INFO] [stdout] 227 | let mut df = col_x_2d.t().dot(&dout_2d).t().to_owned(); [INFO] [stdout] | ----^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_mut)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: function cannot return without recursing [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:257:5 [INFO] [stdout] | [INFO] [stdout] 257 | fn weight_sum(&self) -> f64 { [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing [INFO] [stdout] 258 | return self.weight_sum(); [INFO] [stdout] | ----------------- recursive call site [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unconditional_recursion)]` on by default [INFO] [stdout] = help: a `loop` may express intention better if this is on purpose [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/momentum.rs:26:13 [INFO] [stdout] | [INFO] [stdout] 26 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/rmsprop.rs:27:13 [INFO] [stdout] | [INFO] [stdout] 27 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adagrad.rs:25:13 [INFO] [stdout] | [INFO] [stdout] 25 | let mut grad_squared_sum = self.grad_squared_sum.as_mut().unwrap(); [INFO] [stdout] | ----^^^^^^^^^^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:35:13 [INFO] [stdout] | [INFO] [stdout] 35 | let mut m = self.m.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/optimizer/adam.rs:40:13 [INFO] [stdout] | [INFO] [stdout] 40 | let mut v = self.v.as_mut().unwrap(); [INFO] [stdout] | ----^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/affine.rs:247:13 [INFO] [stdout] | [INFO] [stdout] 247 | let mut x_value = arr2(& [INFO] [stdout] | ----^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/affine.rs:266:13 [INFO] [stdout] | [INFO] [stdout] 266 | let mut w_value = arr2(& [INFO] [stdout] | ----^^^^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable does not need to be mutable [INFO] [stdout] --> src/deep_learning/layer/convolution.rs:420:13 [INFO] [stdout] | [INFO] [stdout] 420 | let mut conv = Convolution::new_random( [INFO] [stdout] | ----^^^^ [INFO] [stdout] | | [INFO] [stdout] | help: remove this `mut` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `trn_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:37:13 [INFO] [stdout] | [INFO] [stdout] 37 | trn_img: trn_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_shorthand_field_patterns)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `val_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:39:13 [INFO] [stdout] | [INFO] [stdout] 39 | val_img: val_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: the `tst_img:` in this pattern is redundant [INFO] [stdout] --> src/mnist_images.rs:41:13 [INFO] [stdout] | [INFO] [stdout] 41 | tst_img: tst_img, [INFO] [stdout] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:85:9 [INFO] [stdout] | [INFO] [stdout] 85 | plot_rate(correct_rates, "correct_rate"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_must_use)]` on by default [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:86:9 [INFO] [stdout] | [INFO] [stdout] 86 | plot_loss(losses, "loss"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/neural_network.rs:156:9 [INFO] [stdout] | [INFO] [stdout] 156 | self.last_layer.export(&mut file); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `TRN_IMG_SIZE` should have a snake case name [INFO] [stdout] --> src/mnist_images.rs:148:13 [INFO] [stdout] | [INFO] [stdout] 148 | let TRN_IMG_SIZE: usize = 5000; [INFO] [stdout] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `trn_img_size` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `VAL_IMG_SIZE` should have a snake case name [INFO] [stdout] --> src/mnist_images.rs:149:13 [INFO] [stdout] | [INFO] [stdout] 149 | let VAL_IMG_SIZE: usize = 1; [INFO] [stdout] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `val_img_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `TST_IMG_SIZE` should have a snake case name [INFO] [stdout] --> src/mnist_images.rs:150:13 [INFO] [stdout] | [INFO] [stdout] 150 | let TST_IMG_SIZE: usize = 2000; [INFO] [stdout] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `tst_img_size` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:100:13 [INFO] [stdout] | [INFO] [stdout] 100 | plot_bias_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/layer/affine_direct_value.rs:102:13 [INFO] [stdout] | [INFO] [stdout] 102 | plot_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/graph_plotter/other.rs:255:9 [INFO] [stdout] | [INFO] [stdout] 255 | plot_rate(data, "test_rate"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused `Result` that must be used [INFO] [stdout] --> src/deep_learning/graph_plotter/other.rs:261:9 [INFO] [stdout] | [INFO] [stdout] 261 | plot_histogram(data, "test_histo"); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: variable `softmaxLoss` should have a snake case name [INFO] [stdout] --> src/deep_learning/layer/softmax_with_loss.rs:293:17 [INFO] [stdout] | [INFO] [stdout] 293 | let mut softmaxLoss= SoftmaxWithLoss::new(x, t.clone()); [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `softmax_loss` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: 73 warnings emitted [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 38.95s [INFO] [stderr] Executable unittests src/lib.rs (/opt/rustwide/target/debug/deps/deep_learning-367f2010f51e94b7) [INFO] [stderr] Executable unittests src/main.rs (/opt/rustwide/target/debug/deps/deep_learning-0da7855bbc187712) [INFO] running `Command { std: "docker" "inspect" "39838ff69eafb16cc110e50154042bd7a94459291e6d1732a15e9ce0243b2193", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "39838ff69eafb16cc110e50154042bd7a94459291e6d1732a15e9ce0243b2193", kill_on_drop: false }` [INFO] [stdout] 39838ff69eafb16cc110e50154042bd7a94459291e6d1732a15e9ce0243b2193 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7/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=warn" "-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:eaef2f80f755933c374d2ae5edccceec0c1312ceb8a4e0b6404e8ab76561e1e5" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2022-04-10" "test" "--frozen", kill_on_drop: false }` [INFO] [stderr] WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. [INFO] [stdout] 9b4b2eced708f7f2964ea882f5cf489338c800582b2f1cfe5c8e6b2ab9ffcdc4 [INFO] running `Command { std: "docker" "start" "-a" "9b4b2eced708f7f2964ea882f5cf489338c800582b2f1cfe5c8e6b2ab9ffcdc4", kill_on_drop: false }` [INFO] [stderr] warning: unused import: `crate::deep_learning::statistics::*` [INFO] [stderr] --> src/deep_learning/common.rs:12:5 [INFO] [stderr] | [INFO] [stderr] 12 | use crate::deep_learning::statistics::*; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/direct_value.rs:4:15 [INFO] [stderr] | [INFO] [stderr] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `crate::deep_learning::*` [INFO] [stderr] --> src/deep_learning/layer/direct_value.rs:10:5 [INFO] [stderr] | [INFO] [stderr] 10 | use crate::deep_learning::*; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/affine.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/affine_direct_value.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/relu.rs:3:15 [INFO] [stderr] | [INFO] [stderr] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/sigmoid.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/batch_norm.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/softmax_with_loss.rs:3:15 [INFO] [stderr] | [INFO] [stderr] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufRead`, `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/dropout.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/pooling.rs:2:15 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `ArrayView1` [INFO] [stderr] --> src/deep_learning/layer/pooling.rs:6:5 [INFO] [stderr] | [INFO] [stderr] 6 | ArrayView1, [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `s` [INFO] [stderr] --> src/image.rs:5:5 [INFO] [stderr] | [INFO] [stderr] 5 | s, [INFO] [stderr] | ^ [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/neural_network.rs:124:75 [INFO] [stderr] | [INFO] [stderr] 124 | pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(bare_trait_objects)]` on by default [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 124 - pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] 124 + pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/neural_network.rs:148:44 [INFO] [stderr] | [INFO] [stderr] 148 | pub fn export(&self) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 148 - pub fn export(&self) -> Result<(), Box> { [INFO] [stderr] 148 + pub fn export(&self) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/network_layer.rs:21:57 [INFO] [stderr] | [INFO] [stderr] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 21 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 21 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/direct_value.rs:80:57 [INFO] [stderr] | [INFO] [stderr] 80 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 80 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 80 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/affine.rs:166:57 [INFO] [stderr] | [INFO] [stderr] 166 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 166 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 166 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/affine_direct_value.rs:112:57 [INFO] [stderr] | [INFO] [stderr] 112 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 112 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 112 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/relu.rs:91:57 [INFO] [stderr] | [INFO] [stderr] 91 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 91 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 91 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/sigmoid.rs:95:57 [INFO] [stderr] | [INFO] [stderr] 95 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 95 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 95 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/batch_norm.rs:236:57 [INFO] [stderr] | [INFO] [stderr] 236 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 236 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 236 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/softmax_with_loss.rs:122:57 [INFO] [stderr] | [INFO] [stderr] 122 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 122 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 122 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/dropout.rs:115:57 [INFO] [stderr] | [INFO] [stderr] 115 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 115 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 115 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:261:57 [INFO] [stderr] | [INFO] [stderr] 261 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 261 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 261 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/pooling.rs:173:57 [INFO] [stderr] | [INFO] [stderr] 173 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 173 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 173 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unused import: `BufRead` [INFO] [stderr] --> src/deep_learning/layer/direct_value.rs:4:45 [INFO] [stderr] | [INFO] [stderr] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `BufRead` [INFO] [stderr] --> src/deep_learning/layer/affine_direct_value.rs:2:34 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufRead, BufReader, Lines}; [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `BufRead` [INFO] [stderr] --> src/deep_learning/layer/softmax_with_loss.rs:3:45 [INFO] [stderr] | [INFO] [stderr] 3 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `BufRead` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:2:45 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused import: `BufRead` [INFO] [stderr] --> src/deep_learning/layer/pooling.rs:2:45 [INFO] [stderr] | [INFO] [stderr] 2 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused variable: `i` [INFO] [stderr] --> src/deep_learning/common.rs:105:9 [INFO] [stderr] | [INFO] [stderr] 105 | for i in 0..size { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_i` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `file` [INFO] [stderr] --> src/deep_learning/layer/network_layer.rs:21:22 [INFO] [stderr] | [INFO] [stderr] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_file` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `dw` [INFO] [stderr] --> src/deep_learning/layer/batch_norm.rs:144:13 [INFO] [stderr] | [INFO] [stderr] 144 | let dw = backword_broadcast(&(normalized * &dout)); [INFO] [stderr] | ^^ help: if this is intentional, prefix it with an underscore: `_dw` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `db` [INFO] [stderr] --> src/deep_learning/layer/batch_norm.rs:146:13 [INFO] [stderr] | [INFO] [stderr] 146 | let db = dout.sum_axis(Axis(0)).to_shared().reshape((1, w.shape()[1])).to_owned(); [INFO] [stderr] | ^^ help: if this is intentional, prefix it with an underscore: `_db` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `filter` [INFO] [stderr] --> src/deep_learning/layer/dropout.rs:47:13 [INFO] [stderr] | [INFO] [stderr] 47 | let filter = neural_network::import_network_layer(lines); [INFO] [stderr] | ^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `bias` [INFO] [stderr] --> src/deep_learning/layer/dropout.rs:48:13 [INFO] [stderr] | [INFO] [stderr] 48 | let bias = neural_network::import_network_layer(lines); [INFO] [stderr] | ^^^^ help: if this is intentional, prefix it with an underscore: `_bias` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `col_index` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:294:17 [INFO] [stderr] | [INFO] [stderr] 294 | let col_index = y * filter_w + x; [INFO] [stderr] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_col_index` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `batch_num` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:181:18 [INFO] [stderr] | [INFO] [stderr] 181 | let (batch_num, _channel_num, _data_h, _data_w) = self.x_shape; [INFO] [stderr] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `filter_num` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:182:18 [INFO] [stderr] | [INFO] [stderr] 182 | let (filter_num, _channel_num, filter_h, filter_w) = self.filter_shape; [INFO] [stderr] | ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_num` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `batch_num` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:202:14 [INFO] [stderr] | [INFO] [stderr] 202 | let (batch_num, channel_num, x_h, x_w) = self.x_shape; [INFO] [stderr] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_num` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:227:13 [INFO] [stderr] | [INFO] [stderr] 227 | let mut df = col_x_2d.t().dot(&dout_2d).t().to_owned(); [INFO] [stderr] | ----^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_mut)]` on by default [INFO] [stderr] [INFO] [stderr] warning: function cannot return without recursing [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:257:5 [INFO] [stderr] | [INFO] [stderr] 257 | fn weight_sum(&self) -> f64 { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing [INFO] [stderr] 258 | return self.weight_sum(); [INFO] [stderr] | ----------------- recursive call site [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unconditional_recursion)]` on by default [INFO] [stderr] = help: a `loop` may express intention better if this is on purpose [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/optimizer/momentum.rs:26:13 [INFO] [stderr] | [INFO] [stderr] 26 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stderr] | ----^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/optimizer/rmsprop.rs:27:13 [INFO] [stderr] | [INFO] [stderr] 27 | let mut velocity = self.velocity.as_mut().unwrap(); [INFO] [stderr] | ----^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/optimizer/adagrad.rs:25:13 [INFO] [stderr] | [INFO] [stderr] 25 | let mut grad_squared_sum = self.grad_squared_sum.as_mut().unwrap(); [INFO] [stderr] | ----^^^^^^^^^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/optimizer/adam.rs:35:13 [INFO] [stderr] | [INFO] [stderr] 35 | let mut m = self.m.as_mut().unwrap(); [INFO] [stderr] | ----^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/optimizer/adam.rs:40:13 [INFO] [stderr] | [INFO] [stderr] 40 | let mut v = self.v.as_mut().unwrap(); [INFO] [stderr] | ----^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: function is never used: `broadcast_rows` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:382:4 [INFO] [stderr] | [INFO] [stderr] 382 | fn broadcast_rows(data: &Array2, row_num: usize) -> Array2 { [INFO] [stderr] | ^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: the `trn_img:` in this pattern is redundant [INFO] [stderr] --> src/mnist_images.rs:37:13 [INFO] [stderr] | [INFO] [stderr] 37 | trn_img: trn_img, [INFO] [stderr] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(non_shorthand_field_patterns)]` on by default [INFO] [stderr] [INFO] [stderr] warning: the `val_img:` in this pattern is redundant [INFO] [stderr] --> src/mnist_images.rs:39:13 [INFO] [stderr] | [INFO] [stderr] 39 | val_img: val_img, [INFO] [stderr] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img` [INFO] [stderr] [INFO] [stderr] warning: the `tst_img:` in this pattern is redundant [INFO] [stderr] --> src/mnist_images.rs:41:13 [INFO] [stderr] | [INFO] [stderr] 41 | tst_img: tst_img, [INFO] [stderr] | ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img` [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/neural_network.rs:85:9 [INFO] [stderr] | [INFO] [stderr] 85 | plot_rate(correct_rates, "correct_rate"); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_must_use)]` on by default [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/neural_network.rs:86:9 [INFO] [stderr] | [INFO] [stderr] 86 | plot_loss(losses, "loss"); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/neural_network.rs:156:9 [INFO] [stderr] | [INFO] [stderr] 156 | self.last_layer.export(&mut file); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/layer/affine_direct_value.rs:100:13 [INFO] [stderr] | [INFO] [stderr] 100 | plot_bias_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/layer/affine_direct_value.rs:102:13 [INFO] [stderr] | [INFO] [stderr] 102 | plot_histogram(self.value.clone().into_iter().collect(), &self.name); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: `deep_learning` (lib) generated 58 warnings [INFO] [stderr] warning: unused import: `super::*` [INFO] [stderr] --> src/main.rs:214:9 [INFO] [stderr] | [INFO] [stderr] 214 | use super::*; [INFO] [stderr] | ^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] help: consider adding a `#[cfg(test)]` to the containing module [INFO] [stderr] --> src/main.rs:213:1 [INFO] [stderr] | [INFO] [stderr] 213 | mod test_mod { [INFO] [stderr] | ^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused variable: `trn_lbl` [INFO] [stderr] --> src/main.rs:46:9 [INFO] [stderr] | [INFO] [stderr] 46 | let trn_lbl = mnist.get_trn_lbl(); [INFO] [stderr] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_trn_lbl` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_variables)]` on by default [INFO] [stderr] [INFO] [stderr] warning: unused variable: `tst_lbl` [INFO] [stderr] --> src/main.rs:50:9 [INFO] [stderr] | [INFO] [stderr] 50 | let tst_lbl = mnist.get_tst_lbl(); [INFO] [stderr] | ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tst_lbl` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/main.rs:54:9 [INFO] [stderr] | [INFO] [stderr] 54 | let mut trn_img_bi = Array2::::from_shape_fn( [INFO] [stderr] | ----^^^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_mut)]` on by default [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/main.rs:58:9 [INFO] [stderr] | [INFO] [stderr] 58 | let mut tst_img_bi = Array2::::from_shape_fn( [INFO] [stderr] | ----^^^^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `DROUPOUT_RATE` [INFO] [stderr] --> src/main.rs:20:1 [INFO] [stderr] | [INFO] [stderr] 20 | const DROUPOUT_RATE: f64 = 0.15; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(dead_code)]` on by default [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `SGD_LEARNING_RATE` [INFO] [stderr] --> src/main.rs:21:1 [INFO] [stderr] | [INFO] [stderr] 21 | const SGD_LEARNING_RATE: f64 = 0.001; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `MOMENTUM_LEARNING_RATE` [INFO] [stderr] --> src/main.rs:22:1 [INFO] [stderr] | [INFO] [stderr] 22 | const MOMENTUM_LEARNING_RATE: f64 = 0.1; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `MOMENTUM_FLICTION` [INFO] [stderr] --> src/main.rs:23:1 [INFO] [stderr] | [INFO] [stderr] 23 | const MOMENTUM_FLICTION: f64 = 0.9; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `RMSPROP_LEARNING_RATE` [INFO] [stderr] --> src/main.rs:24:1 [INFO] [stderr] | [INFO] [stderr] 24 | const RMSPROP_LEARNING_RATE: f64 = 0.1; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `RMSPROP_FLICTION` [INFO] [stderr] --> src/main.rs:25:1 [INFO] [stderr] | [INFO] [stderr] 25 | const RMSPROP_FLICTION: f64 = 0.99; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: constant is never used: `ADAGRAD_LEARNING_RATE` [INFO] [stderr] --> src/main.rs:26:1 [INFO] [stderr] | [INFO] [stderr] 26 | const ADAGRAD_LEARNING_RATE: f64 = 0.1; [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: function is never used: `guess_main` [INFO] [stderr] --> src/main.rs:198:4 [INFO] [stderr] | [INFO] [stderr] 198 | fn guess_main() { [INFO] [stderr] | ^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: function is never used: `measure_execute_time` [INFO] [stderr] --> src/main.rs:218:8 [INFO] [stderr] | [INFO] [stderr] 218 | fn measure_execute_time(f: &dyn Fn()) -> u128 { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] [INFO] [stderr] warning: unused imports: `BufReader`, `Lines`, `Read`, `self` [INFO] [stderr] --> src/deep_learning/layer/direct_value.rs:4:15 [INFO] [stderr] | [INFO] [stderr] 4 | use std::io::{self, Read, Write, BufReader, BufRead, Lines}; [INFO] [stderr] | ^^^^ ^^^^ ^^^^^^^^^ ^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(unused_imports)]` on by default [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/layer/network_layer.rs:21:57 [INFO] [stderr] | [INFO] [stderr] 21 | fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(bare_trait_objects)]` on by default [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 21 - fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] 21 + fn export(&self, file: &mut File) -> Result<(), Box> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: trait objects without an explicit `dyn` are deprecated [INFO] [stderr] --> src/deep_learning/neural_network.rs:124:75 [INFO] [stderr] | [INFO] [stderr] 124 | pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] | ^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021! [INFO] [stderr] = note: for more information, see [INFO] [stderr] help: use `dyn` [INFO] [stderr] | [INFO] [stderr] 124 - pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] 124 + pub fn import_from_file(file_path: &str) -> Result> { [INFO] [stderr] | [INFO] [stderr] [INFO] [stderr] warning: unused variable: `j` [INFO] [stderr] --> src/image.rs:150:17 [INFO] [stderr] | [INFO] [stderr] 150 | for j in 0..width+2 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `j` [INFO] [stderr] --> src/image.rs:161:17 [INFO] [stderr] | [INFO] [stderr] 161 | for j in 0..width+2 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `j` [INFO] [stderr] --> src/image.rs:177:17 [INFO] [stderr] | [INFO] [stderr] 177 | for j in 0..width+2 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `j` [INFO] [stderr] --> src/image.rs:188:17 [INFO] [stderr] | [INFO] [stderr] 188 | for j in 0..width+2 { [INFO] [stderr] | ^ help: if this is intentional, prefix it with an underscore: `_j` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `lerning_rate` [INFO] [stderr] --> src/deep_learning/common.rs:176:13 [INFO] [stderr] | [INFO] [stderr] 176 | let lerning_rate = 0.05; [INFO] [stderr] | ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_lerning_rate` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `x_b` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:1278:14 [INFO] [stderr] | [INFO] [stderr] 1278 | let (x_b, x_c, x_h, x_w) = x_shape; [INFO] [stderr] | ^^^ help: if this is intentional, prefix it with an underscore: `_x_b` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `x_c` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:1278:19 [INFO] [stderr] | [INFO] [stderr] 1278 | let (x_b, x_c, x_h, x_w) = x_shape; [INFO] [stderr] | ^^^ help: if this is intentional, prefix it with an underscore: `_x_c` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `filter_b` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:1280:14 [INFO] [stderr] | [INFO] [stderr] 1280 | let (filter_b, filter_c, filter_h, filter_w) = filter_shape; [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_b` [INFO] [stderr] [INFO] [stderr] warning: unused variable: `filter_c` [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:1280:24 [INFO] [stderr] | [INFO] [stderr] 1280 | let (filter_b, filter_c, filter_h, filter_w) = filter_shape; [INFO] [stderr] | ^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_filter_c` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/layer/affine.rs:247:13 [INFO] [stderr] | [INFO] [stderr] 247 | let mut x_value = arr2(& [INFO] [stderr] | ----^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/layer/affine.rs:266:13 [INFO] [stderr] | [INFO] [stderr] 266 | let mut w_value = arr2(& [INFO] [stderr] | ----^^^^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable does not need to be mutable [INFO] [stderr] --> src/deep_learning/layer/convolution.rs:420:13 [INFO] [stderr] | [INFO] [stderr] 420 | let mut conv = Convolution::new_random( [INFO] [stderr] | ----^^^^ [INFO] [stderr] | | [INFO] [stderr] | help: remove this `mut` [INFO] [stderr] [INFO] [stderr] warning: variable `TRN_IMG_SIZE` should have a snake case name [INFO] [stderr] --> src/mnist_images.rs:148:13 [INFO] [stderr] | [INFO] [stderr] 148 | let TRN_IMG_SIZE: usize = 5000; [INFO] [stderr] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `trn_img_size` [INFO] [stderr] | [INFO] [stderr] = note: `#[warn(non_snake_case)]` on by default [INFO] [stderr] [INFO] [stderr] warning: variable `VAL_IMG_SIZE` should have a snake case name [INFO] [stderr] --> src/mnist_images.rs:149:13 [INFO] [stderr] | [INFO] [stderr] 149 | let VAL_IMG_SIZE: usize = 1; [INFO] [stderr] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `val_img_size` [INFO] [stderr] [INFO] [stderr] warning: variable `TST_IMG_SIZE` should have a snake case name [INFO] [stderr] --> src/mnist_images.rs:150:13 [INFO] [stderr] | [INFO] [stderr] 150 | let TST_IMG_SIZE: usize = 2000; [INFO] [stderr] | ^^^^^^^^^^^^ help: convert the identifier to snake case: `tst_img_size` [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/graph_plotter/other.rs:255:9 [INFO] [stderr] | [INFO] [stderr] 255 | plot_rate(data, "test_rate"); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: unused `Result` that must be used [INFO] [stderr] --> src/deep_learning/graph_plotter/other.rs:261:9 [INFO] [stderr] | [INFO] [stderr] 261 | plot_histogram(data, "test_histo"); [INFO] [stderr] | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [INFO] [stderr] | [INFO] [stderr] = note: this `Result` may be an `Err` variant, which should be handled [INFO] [stderr] [INFO] [stderr] warning: variable `softmaxLoss` should have a snake case name [INFO] [stderr] --> src/deep_learning/layer/softmax_with_loss.rs:293:17 [INFO] [stderr] | [INFO] [stderr] 293 | let mut softmaxLoss= SoftmaxWithLoss::new(x, t.clone()); [INFO] [stderr] | ^^^^^^^^^^^ help: convert the identifier to snake case: `softmax_loss` [INFO] [stderr] [INFO] [stderr] warning: `deep_learning` (bin "deep_learning" test) generated 14 warnings [INFO] [stderr] warning: `deep_learning` (lib test) generated 73 warnings (52 duplicates) [INFO] [stderr] Finished test [unoptimized + debuginfo] target(s) in 0.24s [INFO] [stderr] Running unittests src/lib.rs (/opt/rustwide/target/debug/deps/deep_learning-367f2010f51e94b7) [INFO] [stdout] [INFO] [stdout] running 48 tests [INFO] [stdout] test deep_learning::layer::batch_norm::test::test_batch_norm_calc_average_and_broadcast ... ok [INFO] [stdout] test deep_learning::layer::batch_norm::test::test_batch_norm_calc_distribute_and_broadcast ... ok [INFO] [stdout] test deep_learning::common::test::test_round_digit ... ok [INFO] [stdout] test deep_learning::common::test::test_numeric_gradient ... ok [INFO] [stdout] test deep_learning::graph_plotter::other::graph_plotters_test::test_aa ... ok [INFO] [stdout] test deep_learning::layer::affine::test::test_affine_backward ... ok [INFO] [stdout] test deep_learning::common::test::test_norm_random_vec ... ok [INFO] [stdout] test deep_learning::common::test::test_round_digit_arr1 ... ok [INFO] [stdout] test deep_learning::layer::affine::test::test_affine_forward ... ok [INFO] [stdout] test deep_learning::layer::affine::test::test_affine_new_random ... ok [INFO] [stdout] test deep_learning::layer::affine_direct_value::test::test_affine_direct_value_backward ... ok [INFO] [stdout] test deep_learning::common::test::test_numeric_gradient2 ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_broadcast_rows ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_col2im ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_backword_filter ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_backword_bias ... ok [INFO] [stdout] test deep_learning::layer::batch_norm::test::test_batch_norm_backword_average ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_im2col ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_pad_array4 ... ok [INFO] [stdout] test deep_learning::layer::batch_norm::test::test_batch_norm_backword_broadcast ... ok [INFO] [stdout] test deep_learning::layer::pooling::test::test_pooling_forward ... ok [INFO] [stdout] test deep_learning::layer::sigmoid::test_sigmoid_mod::test_backward ... ok [INFO] [stdout] test deep_learning::layer::sigmoid::test_sigmoid_mod::test_forward ... ok [INFO] [stdout] test deep_learning::layer::softmax_with_loss::test_softmax_with_loss_mod::test_crosss_entropy_error ... ok [INFO] [stdout] test deep_learning::layer::softmax_with_loss::test_softmax_with_loss_mod::test_softmax ... ok [INFO] [stdout] test deep_learning::layer::relu::test_mod::test_backward ... ok [INFO] [stdout] test deep_learning::layer::relu::test_mod::test_forward ... ok [INFO] [stdout] test deep_learning::optimizer::adagrad::test_adagrad_mod::update ... ok [INFO] [stdout] test deep_learning::optimizer::rmsprop::test::update ... ok [INFO] [stdout] test deep_learning::optimizer::adam::test::update ... ok [INFO] [stdout] test deep_learning::optimizer::momentum::test::update ... ok [INFO] [stdout] test deep_learning::optimizer::sgd::test::update ... ok [INFO] [stdout] test deep_learning::layer::pooling::test::test_pooling_backward ... ok [INFO] [stdout] test deep_learning::layer::softmax_with_loss::test_softmax_with_loss_mod::test_backward ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_new_random ... ok [INFO] [stdout] test mnist_images::test::print_img_and_lbl ... ignored [INFO] [stdout] test image::test_trans_image::test_inverse_matrix ... ok [INFO] [stdout] test image::test_trans_image::test_new ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_backword_x ... ok [INFO] [stdout] test deep_learning::layer::convolution::test::test_convolution_forward ... ok [INFO] [stdout] test deep_learning::layer::pooling::test::aa ... ok [INFO] [stdout] test deep_learning::layer::batch_norm::test::test_batch_norm_forward ... ok [INFO] [stdout] test image::test_trans_image::test_resize ... FAILED [INFO] [stdout] test deep_learning::neural_network::test_neuaral_network::test_set_input ... ok [INFO] [stdout] test deep_learning::neural_network::test_neuaral_network::test_set_lbl ... ok [INFO] [stdout] test deep_learning::common::test::test_random_choice ... ok [INFO] [stdout] test deep_learning::graph_plotter::other::graph_plotters_test::test_plot_rate ... ok [INFO] [stdout] test deep_learning::graph_plotter::other::graph_plotters_test::test_plot_histogram ... ok [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] [INFO] [stdout] ---- image::test_trans_image::test_resize stdout ---- [INFO] [stdout] Start loading mnist. [INFO] [stdout] Load mnist resource. [INFO] [stdout] thread 'image::test_trans_image::test_resize' panicked at 'Unable to find path to images at "data/train-images-idx3-ubyte".', /opt/rustwide/cargo-home/registry/src/github.com-1ecc6299db9ec823/mnist-0.4.1/src/lib.rs:552:33 [INFO] [stdout] stack backtrace: [INFO] [stdout] 0: 0x55861ec41f3d - std::backtrace_rs::backtrace::libunwind::trace::ha359b7f0090e2792 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/../../backtrace/src/backtrace/libunwind.rs:93:5 [INFO] [stdout] 1: 0x55861ec41f3d - std::backtrace_rs::backtrace::trace_unsynchronized::h0584631f25c1d70e [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/../../backtrace/src/backtrace/mod.rs:66:5 [INFO] [stdout] 2: 0x55861ec41f3d - std::sys_common::backtrace::_print_fmt::hdadffd97d279ff14 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:66:5 [INFO] [stdout] 3: 0x55861ec41f3d - ::fmt::h26f189e611080a74 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:45:22 [INFO] [stdout] 4: 0x55861ec65b1c - core::fmt::write::hfb5d11dfe037e8b7 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/fmt/mod.rs:1194:17 [INFO] [stdout] 5: 0x55861ec3e681 - std::io::Write::write_fmt::h6a24ec64406df9e2 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/io/mod.rs:1655:15 [INFO] [stdout] 6: 0x55861ec43cd5 - std::sys_common::backtrace::_print::h7a0e44402913ba60 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:48:5 [INFO] [stdout] 7: 0x55861ec43cd5 - std::sys_common::backtrace::print::h9767dc455a84e728 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:35:9 [INFO] [stdout] 8: 0x55861ec43cd5 - std::panicking::default_hook::{{closure}}::h60afd6c8b12988ad [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:295:22 [INFO] [stdout] 9: 0x55861ec439c4 - std::panicking::default_hook::ha7b9bac6813f9d21 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:311:9 [INFO] [stdout] 10: 0x55861ec44222 - std::panicking::rust_panic_with_hook::h7b117a162a6f8664 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:698:17 [INFO] [stdout] 11: 0x55861ec44107 - std::panicking::begin_panic_handler::{{closure}}::h346750923c608600 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:588:13 [INFO] [stdout] 12: 0x55861ec423f4 - std::sys_common::backtrace::__rust_end_short_backtrace::h768c56c6a0c055c0 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:138:18 [INFO] [stdout] 13: 0x55861ec43e39 - rust_begin_unwind [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:584:5 [INFO] [stdout] 14: 0x55861e7fb943 - core::panicking::panic_fmt::h5c41cb2fa118fdbc [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/panicking.rs:143:14 [INFO] [stdout] 15: 0x55861ec1b55f - mnist::images::{{closure}}::h38bfbc11d33bea70 [INFO] [stdout] at /opt/rustwide/cargo-home/registry/src/github.com-1ecc6299db9ec823/mnist-0.4.1/src/lib.rs:552:33 [INFO] [stdout] 16: 0x55861ec1ce43 - core::result::Result::unwrap_or_else::hca412febb6aa0fd0 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/result.rs:1464:23 [INFO] [stdout] 17: 0x55861ec1ad74 - mnist::images::h779aeb9dd08c2f57 [INFO] [stdout] at /opt/rustwide/cargo-home/registry/src/github.com-1ecc6299db9ec823/mnist-0.4.1/src/lib.rs:551:22 [INFO] [stdout] 18: 0x55861ec19a7c - mnist::MnistBuilder::finalize::h54c3f4af0a4bf7c9 [INFO] [stdout] at /opt/rustwide/cargo-home/registry/src/github.com-1ecc6299db9ec823/mnist-0.4.1/src/lib.rs:405:27 [INFO] [stdout] 19: 0x55861e8ee7e1 - deep_learning::mnist_images::MnistImages::new::h08536e3839eb2407 [INFO] [stdout] at /opt/rustwide/workdir/src/mnist_images.rs:43:13 [INFO] [stdout] 20: 0x55861e936ce9 - deep_learning::image::test_trans_image::test_resize::hb55acde5cb3f6c70 [INFO] [stdout] at /opt/rustwide/workdir/src/image.rs:143:21 [INFO] [stdout] 21: 0x55861e936caa - deep_learning::image::test_trans_image::test_resize::{{closure}}::hcb9eb9cd2e26b3be [INFO] [stdout] at /opt/rustwide/workdir/src/image.rs:141:5 [INFO] [stdout] 22: 0x55861e9cccee - core::ops::function::FnOnce::call_once::h9172eb570084593e [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/ops/function.rs:227:5 [INFO] [stdout] 23: 0x55861ea5e783 - core::ops::function::FnOnce::call_once::h018fc248431ce8de [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/ops/function.rs:227:5 [INFO] [stdout] 24: 0x55861ea5e783 - test::__rust_begin_short_backtrace::h293b982b6069d6e3 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/test/src/lib.rs:574:5 [INFO] [stdout] 25: 0x55861ea5d539 - as core::ops::function::FnOnce>::call_once::h4fc1be1a762c7a46 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/alloc/src/boxed.rs:1861:9 [INFO] [stdout] 26: 0x55861ea5d539 - as core::ops::function::FnOnce<()>>::call_once::hd44623ec51b9e897 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/panic/unwind_safe.rs:271:9 [INFO] [stdout] 27: 0x55861ea5d539 - std::panicking::try::do_call::ha8cfa4b025f5b832 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:492:40 [INFO] [stdout] 28: 0x55861ea5d539 - std::panicking::try::h664f75e41c112145 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:456:19 [INFO] [stdout] 29: 0x55861ea5d539 - std::panic::catch_unwind::h4932ec05cd60558e [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panic.rs:137:14 [INFO] [stdout] 30: 0x55861ea5d539 - test::run_test_in_process::ha14a47756671755c [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/test/src/lib.rs:597:18 [INFO] [stdout] 31: 0x55861ea5d539 - test::run_test::run_test_inner::{{closure}}::h0ec9e37c8f67b62d [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/test/src/lib.rs:491:39 [INFO] [stdout] 32: 0x55861ea296ee - test::run_test::run_test_inner::{{closure}}::hd9d2e7f26d4f59e6 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/test/src/lib.rs:518:37 [INFO] [stdout] 33: 0x55861ea296ee - std::sys_common::backtrace::__rust_begin_short_backtrace::h41c0a39fac5123f8 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys_common/backtrace.rs:122:18 [INFO] [stdout] 34: 0x55861ea2ec58 - std::thread::Builder::spawn_unchecked_::{{closure}}::{{closure}}::h69a02ca0bebb6eeb [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/thread/mod.rs:498:17 [INFO] [stdout] 35: 0x55861ea2ec58 - as core::ops::function::FnOnce<()>>::call_once::hdd05632920ce689b [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/panic/unwind_safe.rs:271:9 [INFO] [stdout] 36: 0x55861ea2ec58 - std::panicking::try::do_call::hb4947142729b90fd [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:492:40 [INFO] [stdout] 37: 0x55861ea2ec58 - std::panicking::try::h15a7e9b8394e6878 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panicking.rs:456:19 [INFO] [stdout] 38: 0x55861ea2ec58 - std::panic::catch_unwind::hbd3f4a3f9df49b85 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/panic.rs:137:14 [INFO] [stdout] 39: 0x55861ea2ec58 - std::thread::Builder::spawn_unchecked_::{{closure}}::h880b5d5f1b9799f4 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/thread/mod.rs:497:30 [INFO] [stdout] 40: 0x55861ea2ec58 - core::ops::function::FnOnce::call_once{{vtable.shim}}::h304d5eaf401f5061 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/core/src/ops/function.rs:227:5 [INFO] [stdout] 41: 0x55861ec48a63 - as core::ops::function::FnOnce>::call_once::hdba7f2afed0c35b3 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/alloc/src/boxed.rs:1861:9 [INFO] [stdout] 42: 0x55861ec48a63 - as core::ops::function::FnOnce>::call_once::h38b0832765bf7961 [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/alloc/src/boxed.rs:1861:9 [INFO] [stdout] 43: 0x55861ec48a63 - std::sys::unix::thread::Thread::new::thread_start::h70236dc17753425e [INFO] [stdout] at /rustc/7c13df853721b60a03e7c0bb084d2eb1e27a9caa/library/std/src/sys/unix/thread.rs:108:17 [INFO] [stdout] 44: 0x7f3621081609 - start_thread [INFO] [stdout] 45: 0x7f3620e4f163 - clone [INFO] [stdout] 46: 0x0 - [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] failures: [INFO] [stdout] image::test_trans_image::test_resize [INFO] [stdout] [INFO] [stdout] test result: FAILED. 46 passed; 1 failed; 1 ignored; 0 measured; 0 filtered out; finished in 2.86s [INFO] [stdout] [INFO] [stderr] error: test failed, to rerun pass '--lib' [INFO] running `Command { std: "docker" "inspect" "9b4b2eced708f7f2964ea882f5cf489338c800582b2f1cfe5c8e6b2ab9ffcdc4", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "9b4b2eced708f7f2964ea882f5cf489338c800582b2f1cfe5c8e6b2ab9ffcdc4", kill_on_drop: false }` [INFO] [stdout] 9b4b2eced708f7f2964ea882f5cf489338c800582b2f1cfe5c8e6b2ab9ffcdc4