[INFO] cloning repository https://github.com/Hevagog/bird_gan
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/Hevagog/bird_gan" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FHevagog%2Fbird_gan", kill_on_drop: false }`
[INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FHevagog%2Fbird_gan'...
[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] bfa45c8d7053b051b22bc608bda79fa6afefe622
[INFO] checking Hevagog/bird_gan against master#3645249d79dfb136b5d8de3ce153d19d6698d92d for pr-153975
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2FHevagog%2Fbird_gan" "/workspace/builds/worker-1-tc1/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-1-tc1/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/Hevagog/bird_gan
[INFO] finished tweaking git repo https://github.com/Hevagog/bird_gan
[INFO] tweaked toml for git repo https://github.com/Hevagog/bird_gan written to /workspace/builds/worker-1-tc1/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/Hevagog/bird_gan on toolchain 3645249d79dfb136b5d8de3ce153d19d6698d92d
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+3645249d79dfb136b5d8de3ce153d19d6698d92d" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/Hevagog/bird_gan 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" "+3645249d79dfb136b5d8de3ce153d19d6698d92d" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+3645249d79dfb136b5d8de3ce153d19d6698d92d" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] [stdout] d9ed06c993414db775e989baff1e0e0275bc425f3050f7072b809eb79dda4a09
[INFO] running `Command { std: "docker" "start" "-a" "d9ed06c993414db775e989baff1e0e0275bc425f3050f7072b809eb79dda4a09", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "d9ed06c993414db775e989baff1e0e0275bc425f3050f7072b809eb79dda4a09", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "d9ed06c993414db775e989baff1e0e0275bc425f3050f7072b809eb79dda4a09", kill_on_drop: false }`
[INFO] [stdout] d9ed06c993414db775e989baff1e0e0275bc425f3050f7072b809eb79dda4a09
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+3645249d79dfb136b5d8de3ce153d19d6698d92d" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stdout] 0afd5aba8fe586bb3c360a1373527dd73fb5cf22ee801e12dbda4829dd19cb16
[INFO] running `Command { std: "docker" "start" "-a" "0afd5aba8fe586bb3c360a1373527dd73fb5cf22ee801e12dbda4829dd19cb16", kill_on_drop: false }`
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[INFO] [stderr]     Checking burn-train v0.17.1
[INFO] [stderr]     Checking burn-cuda v0.17.1
[INFO] [stderr]     Checking burn v0.17.1
[INFO] [stderr]     Checking bird_gan v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2dConfig`, `AdaptiveAvgPool2d`, and `Sigmoid`
[INFO] [stdout]  --> src/model/architecture.rs:4:46
[INFO] [stdout]   |
[INFO] [stdout] 4 |         LinearConfig, PaddingConfig2d, Relu, Sigmoid, Tanh,
[INFO] [stdout]   |                                              ^^^^^^^
[INFO] [stdout] 5 |         conv::{Conv2d, Conv2dConfig, ConvTranspose2d, ConvTranspose2dConfig},
[INFO] [stdout] 6 |         pool::{AdaptiveAvgPool2d, AdaptiveAvgPool2dConfig},
[INFO] [stdout]   |                ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Model`
[INFO] [stdout]  --> src/model/training.rs:2:20
[INFO] [stdout]   |
[INFO] [stdout] 2 |     architecture::{Model, ModelConfig},
[INFO] [stdout]   |                    ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `float_vec_to_image`
[INFO] [stdout]  --> src/model/training.rs:7:38
[INFO] [stdout]   |
[INFO] [stdout] 7 | use crate::utils::{chw_vec_to_image, float_vec_to_image};
[INFO] [stdout]   |                                      ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AccuracyMetric`, `GradientClipping`, `LearnerBuilder`, `LossMetric`, `RegressionOutput`, `TrainOutput`, and `module::list_param_ids`
[INFO] [stdout]   --> src/model/training.rs:11:21
[INFO] [stdout]    |
[INFO] [stdout] 11 |     grad_clipping::{GradientClipping, GradientClippingConfig},
[INFO] [stdout]    |                     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     module::list_param_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |         ^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 22 |         metric::{AccuracyMetric, LossMetric},
[INFO] [stdout]    |                  ^^^^^^^^^^^^^^  ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2dConfig`, `AdaptiveAvgPool2d`, and `Sigmoid`
[INFO] [stdout]  --> src/model/architecture.rs:4:46
[INFO] [stdout]   |
[INFO] [stdout] 4 |         LinearConfig, PaddingConfig2d, Relu, Sigmoid, Tanh,
[INFO] [stdout]   |                                              ^^^^^^^
[INFO] [stdout] 5 |         conv::{Conv2d, Conv2dConfig, ConvTranspose2d, ConvTranspose2dConfig},
[INFO] [stdout] 6 |         pool::{AdaptiveAvgPool2d, AdaptiveAvgPool2dConfig},
[INFO] [stdout]   |                ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Model`
[INFO] [stdout]  --> src/model/training.rs:2:20
[INFO] [stdout]   |
[INFO] [stdout] 2 |     architecture::{Model, ModelConfig},
[INFO] [stdout]   |                    ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `float_vec_to_image`
[INFO] [stdout]  --> src/model/training.rs:7:38
[INFO] [stdout]   |
[INFO] [stdout] 7 | use crate::utils::{chw_vec_to_image, float_vec_to_image};
[INFO] [stdout]   |                                      ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AccuracyMetric`, `GradientClipping`, `LearnerBuilder`, `LossMetric`, `RegressionOutput`, `TrainOutput`, and `module::list_param_ids`
[INFO] [stdout]   --> src/model/training.rs:11:21
[INFO] [stdout]    |
[INFO] [stdout] 11 |     grad_clipping::{GradientClipping, GradientClippingConfig},
[INFO] [stdout]    |                     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     module::list_param_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |         ^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 22 |         metric::{AccuracyMetric, LossMetric},
[INFO] [stdout]    |                  ^^^^^^^^^^^^^^  ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ValidStep`
[INFO] [stdout]   --> src/model/training.rs:21:67
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `TrainStep`
[INFO] [stdout]   --> src/model/training.rs:21:56
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `tensor`
[INFO] [stdout]   --> src/model/training.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 19 |     tensor::*,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ValidStep`
[INFO] [stdout]   --> src/model/training.rs:21:67
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `TrainStep`
[INFO] [stdout]   --> src/model/training.rs:21:56
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `tensor`
[INFO] [stdout]   --> src/model/training.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 19 |     tensor::*,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `noise` is never read
[INFO] [stdout]    --> src/model/training.rs:128:29
[INFO] [stdout]     |
[INFO] [stdout] 128 |               let mut noise = Tensor::<B, 2>::random(
[INFO] [stdout]     |  _____________________________^
[INFO] [stdout] 129 | |                 [batch_size, LATENT_DIM],
[INFO] [stdout] 130 | |                 Distribution::Normal(0.0, 1.0),
[INFO] [stdout] 131 | |                 &device,
[INFO] [stdout] 132 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy_with_continuous_targets` is never used
[INFO] [stdout]    --> src/model/training.rs:281:4
[INFO] [stdout]     |
[INFO] [stdout] 281 | fn binary_cross_entropy_with_continuous_targets<B: Backend>(
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `noise` is never read
[INFO] [stdout]    --> src/model/training.rs:128:29
[INFO] [stdout]     |
[INFO] [stdout] 128 |               let mut noise = Tensor::<B, 2>::random(
[INFO] [stdout]     |  _____________________________^
[INFO] [stdout] 129 | |                 [batch_size, LATENT_DIM],
[INFO] [stdout] 130 | |                 Distribution::Normal(0.0, 1.0),
[INFO] [stdout] 131 | |                 &device,
[INFO] [stdout] 132 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy_with_continuous_targets` is never used
[INFO] [stdout]    --> src/model/training.rs:281:4
[INFO] [stdout]     |
[INFO] [stdout] 281 | fn binary_cross_entropy_with_continuous_targets<B: Backend>(
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2dConfig`, `AdaptiveAvgPool2d`, and `Sigmoid`
[INFO] [stdout]  --> src/model/architecture.rs:4:46
[INFO] [stdout]   |
[INFO] [stdout] 4 |         LinearConfig, PaddingConfig2d, Relu, Sigmoid, Tanh,
[INFO] [stdout]   |                                              ^^^^^^^
[INFO] [stdout] 5 |         conv::{Conv2d, Conv2dConfig, ConvTranspose2d, ConvTranspose2dConfig},
[INFO] [stdout] 6 |         pool::{AdaptiveAvgPool2d, AdaptiveAvgPool2dConfig},
[INFO] [stdout]   |                ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Model`
[INFO] [stdout]  --> src/model/training.rs:2:20
[INFO] [stdout]   |
[INFO] [stdout] 2 |     architecture::{Model, ModelConfig},
[INFO] [stdout]   |                    ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `float_vec_to_image`
[INFO] [stdout]  --> src/model/training.rs:7:38
[INFO] [stdout]   |
[INFO] [stdout] 7 | use crate::utils::{chw_vec_to_image, float_vec_to_image};
[INFO] [stdout]   |                                      ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AccuracyMetric`, `GradientClipping`, `LearnerBuilder`, `LossMetric`, `RegressionOutput`, `TrainOutput`, and `module::list_param_ids`
[INFO] [stdout]   --> src/model/training.rs:11:21
[INFO] [stdout]    |
[INFO] [stdout] 11 |     grad_clipping::{GradientClipping, GradientClippingConfig},
[INFO] [stdout]    |                     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     module::list_param_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |         ^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 22 |         metric::{AccuracyMetric, LossMetric},
[INFO] [stdout]    |                  ^^^^^^^^^^^^^^  ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AdaptiveAvgPool2dConfig`, `AdaptiveAvgPool2d`, and `Sigmoid`
[INFO] [stdout]  --> src/model/architecture.rs:4:46
[INFO] [stdout]   |
[INFO] [stdout] 4 |         LinearConfig, PaddingConfig2d, Relu, Sigmoid, Tanh,
[INFO] [stdout]   |                                              ^^^^^^^
[INFO] [stdout] 5 |         conv::{Conv2d, Conv2dConfig, ConvTranspose2d, ConvTranspose2dConfig},
[INFO] [stdout] 6 |         pool::{AdaptiveAvgPool2d, AdaptiveAvgPool2dConfig},
[INFO] [stdout]   |                ^^^^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Model`
[INFO] [stdout]  --> src/model/training.rs:2:20
[INFO] [stdout]   |
[INFO] [stdout] 2 |     architecture::{Model, ModelConfig},
[INFO] [stdout]   |                    ^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `float_vec_to_image`
[INFO] [stdout]  --> src/model/training.rs:7:38
[INFO] [stdout]   |
[INFO] [stdout] 7 | use crate::utils::{chw_vec_to_image, float_vec_to_image};
[INFO] [stdout]   |                                      ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `AccuracyMetric`, `GradientClipping`, `LearnerBuilder`, `LossMetric`, `RegressionOutput`, `TrainOutput`, and `module::list_param_ids`
[INFO] [stdout]   --> src/model/training.rs:11:21
[INFO] [stdout]    |
[INFO] [stdout] 11 |     grad_clipping::{GradientClipping, GradientClippingConfig},
[INFO] [stdout]    |                     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     module::list_param_ids,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |         ^^^^^^^^^^^^^^  ^^^^^^^^^^^^^^^^  ^^^^^^^^^^^
[INFO] [stdout] 22 |         metric::{AccuracyMetric, LossMetric},
[INFO] [stdout]    |                  ^^^^^^^^^^^^^^  ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ValidStep`
[INFO] [stdout]   --> src/model/training.rs:21:67
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `TrainStep`
[INFO] [stdout]   --> src/model/training.rs:21:56
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `tensor`
[INFO] [stdout]   --> src/model/training.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 19 |     tensor::*,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ValidStep`
[INFO] [stdout]   --> src/model/training.rs:21:67
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                                   ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `TrainStep`
[INFO] [stdout]   --> src/model/training.rs:21:56
[INFO] [stdout]    |
[INFO] [stdout] 21 |         LearnerBuilder, RegressionOutput, TrainOutput, TrainStep, ValidStep,
[INFO] [stdout]    |                                                        ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `tensor`
[INFO] [stdout]   --> src/model/training.rs:19:5
[INFO] [stdout]    |
[INFO] [stdout] 19 |     tensor::*,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `noise` is never read
[INFO] [stdout]    --> src/model/training.rs:128:29
[INFO] [stdout]     |
[INFO] [stdout] 128 |               let mut noise = Tensor::<B, 2>::random(
[INFO] [stdout]     |  _____________________________^
[INFO] [stdout] 129 | |                 [batch_size, LATENT_DIM],
[INFO] [stdout] 130 | |                 Distribution::Normal(0.0, 1.0),
[INFO] [stdout] 131 | |                 &device,
[INFO] [stdout] 132 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Model` is never constructed
[INFO] [stdout]   --> src/model/architecture.rs:14:12
[INFO] [stdout]    |
[INFO] [stdout] 14 | pub struct Model<B: Backend> {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `init` is never used
[INFO] [stdout]    --> src/model/architecture.rs:180:12
[INFO] [stdout]     |
[INFO] [stdout] 179 | impl ModelConfig {
[INFO] [stdout]     | ---------------- method in this implementation
[INFO] [stdout] 180 |     pub fn init<B: Backend>(&self, device: &B::Device) -> Model<B> {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `test` is never used
[INFO] [stdout]   --> src/model/data.rs:49:12
[INFO] [stdout]    |
[INFO] [stdout] 18 | impl BirdDataset {
[INFO] [stdout]    | ---------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 49 |     pub fn test() -> Result<Self, std::io::Error> {
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_positive_labels` is never used
[INFO] [stdout]    --> src/model/training.rs:259:8
[INFO] [stdout]     |
[INFO] [stdout] 259 | pub fn smooth_positive_labels<B: Backend>(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_negative_labels` is never used
[INFO] [stdout]    --> src/model/training.rs:270:8
[INFO] [stdout]     |
[INFO] [stdout] 270 | pub fn smooth_negative_labels<B: Backend>(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy_with_continuous_targets` is never used
[INFO] [stdout]    --> src/model/training.rs:281:4
[INFO] [stdout]     |
[INFO] [stdout] 281 | fn binary_cross_entropy_with_continuous_targets<B: Backend>(
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `float_vec_to_image` is never used
[INFO] [stdout]  --> src/utils/mod.rs:5:8
[INFO] [stdout]   |
[INFO] [stdout] 5 | pub fn float_vec_to_image(
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `noise` is never read
[INFO] [stdout]    --> src/model/training.rs:128:29
[INFO] [stdout]     |
[INFO] [stdout] 128 |               let mut noise = Tensor::<B, 2>::random(
[INFO] [stdout]     |  _____________________________^
[INFO] [stdout] 129 | |                 [batch_size, LATENT_DIM],
[INFO] [stdout] 130 | |                 Distribution::Normal(0.0, 1.0),
[INFO] [stdout] 131 | |                 &device,
[INFO] [stdout] 132 | |             );
[INFO] [stdout]     | |_____________^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: struct `Model` is never constructed
[INFO] [stdout]   --> src/model/architecture.rs:14:12
[INFO] [stdout]    |
[INFO] [stdout] 14 | pub struct Model<B: Backend> {
[INFO] [stdout]    |            ^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `init` is never used
[INFO] [stdout]    --> src/model/architecture.rs:180:12
[INFO] [stdout]     |
[INFO] [stdout] 179 | impl ModelConfig {
[INFO] [stdout]     | ---------------- method in this implementation
[INFO] [stdout] 180 |     pub fn init<B: Backend>(&self, device: &B::Device) -> Model<B> {
[INFO] [stdout]     |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function `test` is never used
[INFO] [stdout]   --> src/model/data.rs:49:12
[INFO] [stdout]    |
[INFO] [stdout] 18 | impl BirdDataset {
[INFO] [stdout]    | ---------------- associated function in this implementation
[INFO] [stdout] ...
[INFO] [stdout] 49 |     pub fn test() -> Result<Self, std::io::Error> {
[INFO] [stdout]    |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_positive_labels` is never used
[INFO] [stdout]    --> src/model/training.rs:259:8
[INFO] [stdout]     |
[INFO] [stdout] 259 | pub fn smooth_positive_labels<B: Backend>(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `smooth_negative_labels` is never used
[INFO] [stdout]    --> src/model/training.rs:270:8
[INFO] [stdout]     |
[INFO] [stdout] 270 | pub fn smooth_negative_labels<B: Backend>(
[INFO] [stdout]     |        ^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `binary_cross_entropy_with_continuous_targets` is never used
[INFO] [stdout]    --> src/model/training.rs:281:4
[INFO] [stdout]     |
[INFO] [stdout] 281 | fn binary_cross_entropy_with_continuous_targets<B: Backend>(
[INFO] [stdout]     |    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `float_vec_to_image` is never used
[INFO] [stdout]  --> src/utils/mod.rs:5:8
[INFO] [stdout]   |
[INFO] [stdout] 5 | pub fn float_vec_to_image(
[INFO] [stdout]   |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 1m 38s
[INFO] running `Command { std: "docker" "inspect" "0afd5aba8fe586bb3c360a1373527dd73fb5cf22ee801e12dbda4829dd19cb16", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "0afd5aba8fe586bb3c360a1373527dd73fb5cf22ee801e12dbda4829dd19cb16", kill_on_drop: false }`
[INFO] [stdout] 0afd5aba8fe586bb3c360a1373527dd73fb5cf22ee801e12dbda4829dd19cb16
