[INFO] cloning repository https://github.com/an-am/renoir-fed-training [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/an-am/renoir-fed-training" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fan-am%2Frenoir-fed-training", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fan-am%2Frenoir-fed-training'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] f23248e9a8246f7175f08794f617a92cd33897b7 [INFO] building an-am/renoir-fed-training against try#8b8eff55bd72abbb57167bc42222a7f91d41cb0d for pr-142134-abi-ast-error [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fan-am%2Frenoir-fed-training" "/workspace/builds/worker-7-tc2/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-7-tc2/source'... [INFO] [stderr] done. [INFO] validating manifest of git repo https://github.com/an-am/renoir-fed-training on toolchain 8b8eff55bd72abbb57167bc42222a7f91d41cb0d [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8b8eff55bd72abbb57167bc42222a7f91d41cb0d" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] started tweaking git repo https://github.com/an-am/renoir-fed-training [INFO] finished tweaking git repo https://github.com/an-am/renoir-fed-training [INFO] tweaked toml for git repo https://github.com/an-am/renoir-fed-training written to /workspace/builds/worker-7-tc2/source/Cargo.toml [INFO] crate git repo https://github.com/an-am/renoir-fed-training already has a lockfile, it will not be regenerated [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+8b8eff55bd72abbb57167bc42222a7f91d41cb0d" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:eea15d5475069c3ef791f10c2c6b5af2ee421ef2da1e680ecce1cba46243983b" "/opt/rustwide/cargo-home/bin/cargo" "+8b8eff55bd72abbb57167bc42222a7f91d41cb0d" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 992cba8e062961550497583da6e6eac262a5b6a0fec9a7202127a45b32346332 [INFO] running `Command { std: "docker" "start" "-a" "992cba8e062961550497583da6e6eac262a5b6a0fec9a7202127a45b32346332", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "992cba8e062961550497583da6e6eac262a5b6a0fec9a7202127a45b32346332", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "992cba8e062961550497583da6e6eac262a5b6a0fec9a7202127a45b32346332", kill_on_drop: false }` [INFO] [stdout] 992cba8e062961550497583da6e6eac262a5b6a0fec9a7202127a45b32346332 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--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:eea15d5475069c3ef791f10c2c6b5af2ee421ef2da1e680ecce1cba46243983b" "/opt/rustwide/cargo-home/bin/cargo" "+8b8eff55bd72abbb57167bc42222a7f91d41cb0d" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] e879529acc3f152ea55a98eb72bc465e3b1943d192838f2aa6f0afe9e60f2ef8 [INFO] running `Command { std: "docker" "start" "-a" "e879529acc3f152ea55a98eb72bc465e3b1943d192838f2aa6f0afe9e60f2ef8", kill_on_drop: false }` [INFO] [stderr] Compiling proc-macro2 v1.0.95 [INFO] [stderr] Compiling unicode-ident v1.0.18 [INFO] [stderr] Compiling libc v0.2.172 [INFO] [stderr] Compiling autocfg v1.4.0 [INFO] [stderr] Compiling cfg-if v1.0.0 [INFO] [stderr] Compiling serde v1.0.219 [INFO] [stderr] Compiling crossbeam-utils v0.8.21 [INFO] [stderr] Compiling libm v0.2.15 [INFO] [stderr] Compiling log v0.4.27 [INFO] [stderr] Compiling equivalent v1.0.2 [INFO] [stderr] Compiling scopeguard v1.2.0 [INFO] [stderr] Compiling once_cell v1.21.3 [INFO] [stderr] Compiling getrandom v0.3.3 [INFO] [stderr] Compiling smallvec v1.15.0 [INFO] [stderr] Compiling shlex v1.3.0 [INFO] [stderr] Compiling zerocopy v0.8.25 [INFO] [stderr] Compiling pkg-config v0.3.32 [INFO] [stderr] Compiling either v1.15.0 [INFO] [stderr] Compiling allocator-api2 v0.2.21 [INFO] [stderr] Compiling vcpkg v0.2.15 [INFO] [stderr] Compiling cc v1.2.23 [INFO] [stderr] Compiling memchr v2.7.4 [INFO] [stderr] Compiling foldhash v0.1.5 [INFO] [stderr] Compiling rayon-core v1.12.1 [INFO] [stderr] Compiling parking_lot_core v0.9.10 [INFO] [stderr] Compiling pin-project-lite v0.2.16 [INFO] 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[stderr] Compiling typemap_rev v0.3.0 [INFO] [stderr] Compiling base64 v0.22.1 [INFO] [stderr] Compiling whoami v1.6.0 [INFO] [stderr] Compiling dyn-clone v1.0.19 [INFO] [stderr] Compiling half v2.6.0 [INFO] [stderr] Compiling serde_bytes v0.11.17 [INFO] [stderr] Compiling csv v1.3.1 [INFO] [stderr] Compiling rmp-serde v1.3.0 [INFO] [stderr] Compiling bincode v2.0.1 [INFO] [stderr] Compiling serde_spanned v0.6.8 [INFO] [stderr] Compiling tracing v0.1.41 [INFO] [stderr] Compiling hashlink v0.10.0 [INFO] [stderr] Compiling exr v1.73.0 [INFO] [stderr] Compiling ravif v0.11.12 [INFO] [stderr] Compiling macerator v0.2.7 [INFO] [stderr] Compiling lru v0.12.5 [INFO] [stderr] Compiling rusqlite v0.34.0 [INFO] [stderr] Compiling burn-common v0.17.0 [INFO] [stderr] Compiling ratatui v0.29.0 [INFO] [stderr] Compiling burn-tensor v0.17.0 [INFO] [stderr] Compiling clap v4.5.38 [INFO] [stderr] Compiling quick_cache v0.6.14 [INFO] [stderr] Compiling lazy-init v0.5.1 [INFO] [stderr] Compiling shell-escape v0.1.5 [INFO] [stderr] Compiling glidesort v0.1.2 [INFO] [stderr] Compiling r2d2_sqlite v0.27.0 [INFO] [stderr] Compiling serde_rusqlite v0.38.0 [INFO] [stderr] Compiling rstest v0.25.0 [INFO] [stderr] Compiling ssh2 v0.9.5 [INFO] [stderr] Compiling derivative v2.2.0 [INFO] [stderr] Compiling burn-ir v0.17.0 [INFO] [stderr] Compiling burn-autodiff v0.17.0 [INFO] [stderr] Compiling image v0.25.6 [INFO] [stderr] Compiling toml v0.8.22 [INFO] [stderr] Compiling renoir v0.6.0 (https://github.com/deib-polimi/renoir#7ee2801e) [INFO] [stderr] Compiling burn-dataset v0.17.0 [INFO] [stderr] Compiling burn-core v0.17.0 [INFO] [stderr] Compiling burn-train v0.17.0 [INFO] [stderr] Compiling burn v0.17.0 [INFO] [stderr] Compiling renoir-fed-training v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused imports: `nn::loss` and `ops::FloatElem` [INFO] [stdout] --> src/training.rs:2:99 [INFO] [stdout] | [INFO] [stdout] 2 | ...e, nn::loss, optim::{AdamConfig, GradientsParams, Optimizer}, prelude::*, record::{BinBytesRecorder, FullPrecisionSettings, Recorder, RecorderError}, tensor::{backend::AutodiffBackend, cast::ToElement, ops::FloatElem} [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fs::File` [INFO] [stdout] --> src/training.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use std::fs::File; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/training.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ClientDataset` [INFO] [stdout] --> src/training.rs:10:42 [INFO] [stdout] | [INFO] [stdout] 10 | dataset::{ClientBatcher, ClientDataset}, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:75:14 [INFO] [stdout] | [INFO] [stdout] 75 | for (iteration, batch) in dataloader_train.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:101:14 [INFO] [stdout] | [INFO] [stdout] 101 | for (iteration, batch) in dataloader_test.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `from_InMemD` should have a snake case name [INFO] [stdout] --> src/dataset.rs:97:12 [INFO] [stdout] | [INFO] [stdout] 97 | pub fn from_InMemD(dataset: InMemDataset) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `from_in_mem_d` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/main.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `nn::loss` and `ops::FloatElem` [INFO] [stdout] --> src/training.rs:2:99 [INFO] [stdout] | [INFO] [stdout] 2 | ...e, nn::loss, optim::{AdamConfig, GradientsParams, Optimizer}, prelude::*, record::{BinBytesRecorder, FullPrecisionSettings, Recorder, RecorderError}, tensor::{backend::AutodiffBackend, cast::ToElement, ops::FloatElem} [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fs::File` [INFO] [stdout] --> src/training.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use std::fs::File; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/training.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ClientDataset` [INFO] [stdout] --> src/training.rs:10:42 [INFO] [stdout] | [INFO] [stdout] 10 | dataset::{ClientBatcher, ClientDataset}, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:75:14 [INFO] [stdout] | [INFO] [stdout] 75 | for (iteration, batch) in dataloader_train.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:101:14 [INFO] [stdout] | [INFO] [stdout] 101 | for (iteration, batch) in dataloader_test.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [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 global_model: Model = model::ModelConfig::new().init(&device); [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: method `from_InMemD` should have a snake case name [INFO] [stdout] --> src/dataset.rs:97:12 [INFO] [stdout] | [INFO] [stdout] 97 | pub fn from_InMemD(dataset: InMemDataset) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `from_in_mem_d` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 2m 20s [INFO] running `Command { std: "docker" "inspect" "e879529acc3f152ea55a98eb72bc465e3b1943d192838f2aa6f0afe9e60f2ef8", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "e879529acc3f152ea55a98eb72bc465e3b1943d192838f2aa6f0afe9e60f2ef8", kill_on_drop: false }` [INFO] [stdout] e879529acc3f152ea55a98eb72bc465e3b1943d192838f2aa6f0afe9e60f2ef8 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-7-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=warn" "-e" "RUSTDOCFLAGS=--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:eea15d5475069c3ef791f10c2c6b5af2ee421ef2da1e680ecce1cba46243983b" "/opt/rustwide/cargo-home/bin/cargo" "+8b8eff55bd72abbb57167bc42222a7f91d41cb0d" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] ed2f639e8a016ad0f963b39ea6922adef01e06253ffb068e3c8900f1e15282ac [INFO] running `Command { std: "docker" "start" "-a" "ed2f639e8a016ad0f963b39ea6922adef01e06253ffb068e3c8900f1e15282ac", kill_on_drop: false }` [INFO] [stderr] Compiling renoir-fed-training v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused imports: `nn::loss` and `ops::FloatElem` [INFO] [stdout] --> src/training.rs:2:99 [INFO] [stdout] | [INFO] [stdout] 2 | ...e, nn::loss, optim::{AdamConfig, GradientsParams, Optimizer}, prelude::*, record::{BinBytesRecorder, FullPrecisionSettings, Recorder, RecorderError}, tensor::{backend::AutodiffBackend, cast::ToElement, ops::FloatElem} [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fs::File` [INFO] [stdout] --> src/training.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use std::fs::File; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/training.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ClientDataset` [INFO] [stdout] --> src/training.rs:10:42 [INFO] [stdout] | [INFO] [stdout] 10 | dataset::{ClientBatcher, ClientDataset}, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:75:14 [INFO] [stdout] | [INFO] [stdout] 75 | for (iteration, batch) in dataloader_train.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:101:14 [INFO] [stdout] | [INFO] [stdout] 101 | for (iteration, batch) in dataloader_test.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `from_InMemD` should have a snake case name [INFO] [stdout] --> src/dataset.rs:97:12 [INFO] [stdout] | [INFO] [stdout] 97 | pub fn from_InMemD(dataset: InMemDataset) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `from_in_mem_d` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/main.rs:3:5 [INFO] [stdout] | [INFO] [stdout] 3 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `nn::loss` and `ops::FloatElem` [INFO] [stdout] --> src/training.rs:2:99 [INFO] [stdout] | [INFO] [stdout] 2 | ...e, nn::loss, optim::{AdamConfig, GradientsParams, Optimizer}, prelude::*, record::{BinBytesRecorder, FullPrecisionSettings, Recorder, RecorderError}, tensor::{backend::AutodiffBackend, cast::ToElement, ops::FloatElem} [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fs::File` [INFO] [stdout] --> src/training.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use std::fs::File; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/training.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ClientDataset` [INFO] [stdout] --> src/training.rs:10:42 [INFO] [stdout] | [INFO] [stdout] 10 | dataset::{ClientBatcher, ClientDataset}, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused imports: `nn::loss` and `ops::FloatElem` [INFO] [stdout] --> src/training.rs:2:99 [INFO] [stdout] | [INFO] [stdout] 2 | ...e, nn::loss, optim::{AdamConfig, GradientsParams, Optimizer}, prelude::*, record::{BinBytesRecorder, FullPrecisionSettings, Recorder, RecorderError}, tensor::{backend::AutodiffBackend, cast::ToElement, ops::FloatElem} [INFO] [stdout] | ^^^^^^^^ ^^^^^^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `std::fs::File` [INFO] [stdout] --> src/training.rs:6:5 [INFO] [stdout] | [INFO] [stdout] 6 | use std::fs::File; [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `csv::WriterBuilder` [INFO] [stdout] --> src/training.rs:7:5 [INFO] [stdout] | [INFO] [stdout] 7 | use csv::WriterBuilder; [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `ClientDataset` [INFO] [stdout] --> src/training.rs:10:42 [INFO] [stdout] | [INFO] [stdout] 10 | dataset::{ClientBatcher, ClientDataset}, [INFO] [stdout] | ^^^^^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:75:14 [INFO] [stdout] | [INFO] [stdout] 75 | for (iteration, batch) in dataloader_train.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:101:14 [INFO] [stdout] | [INFO] [stdout] 101 | for (iteration, batch) in dataloader_test.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: method `from_InMemD` should have a snake case name [INFO] [stdout] --> src/dataset.rs:97:12 [INFO] [stdout] | [INFO] [stdout] 97 | pub fn from_InMemD(dataset: InMemDataset) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `from_in_mem_d` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:75:14 [INFO] [stdout] | [INFO] [stdout] 75 | for (iteration, batch) in dataloader_train.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_variables)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused variable: `iteration` [INFO] [stdout] --> src/training.rs:101:14 [INFO] [stdout] | [INFO] [stdout] 101 | for (iteration, batch) in dataloader_test.iter().enumerate() { [INFO] [stdout] | ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_iteration` [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 global_model: Model = model::ModelConfig::new().init(&device); [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: method `from_InMemD` should have a snake case name [INFO] [stdout] --> src/dataset.rs:97:12 [INFO] [stdout] | [INFO] [stdout] 97 | pub fn from_InMemD(dataset: InMemDataset) -> Self { [INFO] [stdout] | ^^^^^^^^^^^ help: convert the identifier to snake case: `from_in_mem_d` [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(non_snake_case)]` on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] Finished `test` profile [unoptimized + debuginfo] target(s) in 2.09s [INFO] running `Command { std: "docker" "inspect" "ed2f639e8a016ad0f963b39ea6922adef01e06253ffb068e3c8900f1e15282ac", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "ed2f639e8a016ad0f963b39ea6922adef01e06253ffb068e3c8900f1e15282ac", kill_on_drop: false }` [INFO] [stdout] ed2f639e8a016ad0f963b39ea6922adef01e06253ffb068e3c8900f1e15282ac