[INFO] cloning repository https://github.com/gugu8intel-i9/Rust-Neural-Network [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/gugu8intel-i9/Rust-Neural-Network" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fgugu8intel-i9%2FRust-Neural-Network", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fgugu8intel-i9%2FRust-Neural-Network'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] c08dd0271a4c53fd45639b2bf88586426499b797 [INFO] testing gugu8intel-i9/Rust-Neural-Network against beta-2026-04-21 for beta-1.96-2 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fgugu8intel-i9%2FRust-Neural-Network" "/workspace/builds/worker-1-tc2/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-1-tc2/source'... [INFO] [stderr] done. [INFO] started tweaking git repo https://github.com/gugu8intel-i9/Rust-Neural-Network [INFO] finished tweaking git repo https://github.com/gugu8intel-i9/Rust-Neural-Network [INFO] tweaked toml for git repo https://github.com/gugu8intel-i9/Rust-Neural-Network written to /workspace/builds/worker-1-tc2/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/gugu8intel-i9/Rust-Neural-Network on toolchain beta-2026-04-21 [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+beta-2026-04-21" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/gugu8intel-i9/Rust-Neural-Network 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" "+beta-2026-04-21" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2026-04-21" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 664adc19e1bade387198d02536f7ec69e8dd9bc4aab95b33dee8080c2c9b8cf1 [INFO] running `Command { std: "docker" "start" "-a" "664adc19e1bade387198d02536f7ec69e8dd9bc4aab95b33dee8080c2c9b8cf1", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "664adc19e1bade387198d02536f7ec69e8dd9bc4aab95b33dee8080c2c9b8cf1", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "664adc19e1bade387198d02536f7ec69e8dd9bc4aab95b33dee8080c2c9b8cf1", kill_on_drop: false }` [INFO] [stdout] 664adc19e1bade387198d02536f7ec69e8dd9bc4aab95b33dee8080c2c9b8cf1 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2026-04-21" "build" "--frozen" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] f84fa6ed55b4c4ec0bb62b03c28f54c91549d7300f489dcefe8fd698c2033936 [INFO] running `Command { std: "docker" "start" "-a" "f84fa6ed55b4c4ec0bb62b03c28f54c91549d7300f489dcefe8fd698c2033936", kill_on_drop: false }` [INFO] [stderr] Compiling autocfg v1.5.0 [INFO] [stderr] Compiling libm v0.2.16 [INFO] [stderr] Compiling crossbeam-utils v0.8.21 [INFO] [stderr] Compiling libc v0.2.183 [INFO] [stderr] Compiling zerocopy v0.8.48 [INFO] [stderr] Compiling cfg-if v1.0.4 [INFO] [stderr] Compiling serde_core v1.0.228 [INFO] [stderr] Compiling rayon-core v1.13.0 [INFO] [stderr] Compiling serde v1.0.228 [INFO] [stderr] Compiling rawpointer v0.2.1 [INFO] [stderr] Compiling either v1.15.0 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling matrixmultiply v0.3.10 [INFO] [stderr] Compiling crossbeam-epoch v0.9.18 [INFO] [stderr] Compiling crossbeam-deque v0.8.6 [INFO] [stderr] Compiling getrandom v0.2.17 [INFO] [stderr] Compiling rayon v1.11.0 [INFO] [stderr] Compiling rand_core v0.6.4 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling num-integer v0.1.46 [INFO] [stderr] Compiling ndarray v0.15.6 [INFO] [stderr] Compiling ppv-lite86 v0.2.21 [INFO] [stderr] Compiling rand_chacha v0.3.1 [INFO] [stderr] Compiling rand v0.8.5 [INFO] [stderr] Compiling rand_distr v0.4.3 [INFO] [stderr] Compiling ndarray-rand v0.14.0 [INFO] [stderr] Compiling rust-nn v0.1.0 (/opt/rustwide/workdir) [INFO] [stderr] Finished `dev` profile [unoptimized + debuginfo] target(s) in 17.26s [INFO] running `Command { std: "docker" "inspect" "f84fa6ed55b4c4ec0bb62b03c28f54c91549d7300f489dcefe8fd698c2033936", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "f84fa6ed55b4c4ec0bb62b03c28f54c91549d7300f489dcefe8fd698c2033936", kill_on_drop: false }` [INFO] [stdout] f84fa6ed55b4c4ec0bb62b03c28f54c91549d7300f489dcefe8fd698c2033936 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-tc2/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-1-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:d429b63d4308055ea97f60fb1d3dfca48854a00942f1bd2ad806beaf015945ec" "/opt/rustwide/cargo-home/bin/cargo" "+beta-2026-04-21" "test" "--frozen" "--no-run" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] 66fb0f38301261568501872767c2c026f1cf6d73550f81f1b572cfe702a332e7 [INFO] running `Command { std: "docker" "start" "-a" "66fb0f38301261568501872767c2c026f1cf6d73550f81f1b572cfe702a332e7", kill_on_drop: false }` [INFO] [stderr] Compiling approx v0.5.1 [INFO] [stderr] Compiling rust-nn v0.1.0 (/opt/rustwide/workdir) [INFO] [stdout] warning: unused import: `Optimizer` [INFO] [stdout] --> examples/xor.rs:3:22 [INFO] [stdout] | [INFO] [stdout] 3 | use rust_nn::optim::{Optimizer, Adam}; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] | [INFO] [stdout] = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `rust_nn::nn::Sigmoid` [INFO] [stdout] --> examples/basic.rs:7:53 [INFO] [stdout] | [INFO] [stdout] 7 | use rust_nn::nn::{Module, Sequential, Linear, ReLU, Sigmoid}; [INFO] [stdout] | ^^^^^^^ no `Sigmoid` in `nn` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `rust_nn::activations::softmax` [INFO] [stdout] --> examples/basic.rs:8:43 [INFO] [stdout] | [INFO] [stdout] 8 | use rust_nn::activations::{relu, sigmoid, softmax}; [INFO] [stdout] | ^^^^^^^ no `softmax` in `activations` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Loss` [INFO] [stdout] --> examples/xor.rs:4:30 [INFO] [stdout] | [INFO] [stdout] 4 | use rust_nn::loss::{MSELoss, Loss}; [INFO] [stdout] | ^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:19:43 [INFO] [stdout] | [INFO] [stdout] 19 | println!("Zeros tensor (2x3):\n{}\n", zeros); [INFO] [stdout] | -- ^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:22:42 [INFO] [stdout] | [INFO] [stdout] 22 | println!("Ones tensor (2x3):\n{}\n", ones); [INFO] [stdout] | -- ^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:25:44 [INFO] [stdout] | [INFO] [stdout] 25 | println!("Random tensor (2x3):\n{}\n", random); [INFO] [stdout] | -- ^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:31:33 [INFO] [stdout] | [INFO] [stdout] 31 | println!("Tensor A:\n{}\n", a); [INFO] [stdout] | -- ^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:32:33 [INFO] [stdout] | [INFO] [stdout] 32 | println!("Tensor B:\n{}\n", b); [INFO] [stdout] | -- ^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:36:30 [INFO] [stdout] | [INFO] [stdout] 36 | println!("A + B:\n{}\n", sum); [INFO] [stdout] | -- ^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:39:45 [INFO] [stdout] | [INFO] [stdout] 39 | println!("A * B (element-wise):\n{}\n", product); [INFO] [stdout] | -- ^^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:43:48 [INFO] [stdout] | [INFO] [stdout] 43 | println!("A @ B (matrix multiply):\n{}\n", matmul); [INFO] [stdout] | -- ^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:48:53 [INFO] [stdout] | [INFO] [stdout] 48 | println!("Reshaped from [2,3] to [3,2]:\n{}\n", reshaped); [INFO] [stdout] | -- ^^^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:52:37 [INFO] [stdout] | [INFO] [stdout] 52 | println!("A transposed:\n{}\n", transposed); [INFO] [stdout] | -- ^^^^^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:55:30 [INFO] [stdout] | [INFO] [stdout] 55 | println!("A sum: {:.4}", a.sum()); [INFO] [stdout] | ----- ^^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no method named `mean` found for struct `Tensor` in the current scope [INFO] [stdout] --> examples/basic.rs:56:33 [INFO] [stdout] | [INFO] [stdout] 56 | println!("A mean: {:.4}", a.mean()); [INFO] [stdout] | ^^^^ method not found in `Tensor` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: the method `max` exists for struct `Tensor`, but its trait bounds were not satisfied [INFO] [stdout] --> examples/basic.rs:57:32 [INFO] [stdout] | [INFO] [stdout] 57 | println!("A max: {:.4}", a.max()); [INFO] [stdout] | ^^^ method cannot be called on `Tensor` due to unsatisfied trait bounds [INFO] [stdout] | [INFO] [stdout] ::: src/tensor.rs:36:1 [INFO] [stdout] | [INFO] [stdout] 36 | pub struct Tensor(pub Arc>); [INFO] [stdout] | ----------------- doesn't satisfy `Tensor: Iterator` or `Tensor: Ord` [INFO] [stdout] | [INFO] [stdout] = note: the following trait bounds were not satisfied: [INFO] [stdout] `Tensor: Ord` [INFO] [stdout] which is required by `&Tensor: Ord` [INFO] [stdout] `Tensor: Ord` [INFO] [stdout] which is required by `&mut Tensor: Ord` [INFO] [stdout] `Tensor: Iterator` [INFO] [stdout] which is required by `&mut Tensor: Iterator` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/basic.rs:83:14 [INFO] [stdout] | [INFO] [stdout] 83 | .add(Linear::new(10, 32)) [INFO] [stdout] | ^^^^^^^^^^^-------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 83 | .add(Linear::new(10, 32, /* bool */)) [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/basic.rs:85:14 [INFO] [stdout] | [INFO] [stdout] 85 | .add(Linear::new(32, 16)) [INFO] [stdout] | ^^^^^^^^^^^-------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 85 | .add(Linear::new(32, 16, /* bool */)) [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/basic.rs:87:14 [INFO] [stdout] | [INFO] [stdout] 87 | .add(Linear::new(16, 5)); [INFO] [stdout] | ^^^^^^^^^^^------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 87 | .add(Linear::new(16, 5, /* bool */)); [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no method named `get` found for struct `Tensor` in the current scope [INFO] [stdout] --> examples/basic.rs:100:49 [INFO] [stdout] | [INFO] [stdout] 100 | println!(" Class {}: {:.4}", i, output.get(&[0, i])); [INFO] [stdout] | ^^^ method not found in `Tensor` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `rust_nn::nn::Dropout` [INFO] [stdout] --> examples/classification.rs:7:53 [INFO] [stdout] | [INFO] [stdout] 7 | use rust_nn::nn::{Module, Sequential, Linear, ReLU, Dropout}; [INFO] [stdout] | ^^^^^^^ no `Dropout` in `nn` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0432]: unresolved import `rust_nn::train::TrainConfig` [INFO] [stdout] --> examples/classification.rs:10:49 [INFO] [stdout] | [INFO] [stdout] 10 | use rust_nn::train::{SimpleDataLoader, Trainer, TrainConfig}; [INFO] [stdout] | ^^^^^^^^^^^ no `TrainConfig` in `train` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0308]: mismatched types [INFO] [stdout] --> examples/basic.rs:106:9 [INFO] [stdout] | [INFO] [stdout] 106 | for (name, param) in ¶ms { [INFO] [stdout] | ^^^^^^^^^^^^^ ------- this is an iterator with items of type `&Tensor` [INFO] [stdout] | | [INFO] [stdout] | expected `Tensor`, found `(_, _)` [INFO] [stdout] | [INFO] [stdout] = note: expected struct `Tensor` [INFO] [stdout] found tuple `(_, _)` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] warning: unused import: `Module` [INFO] [stdout] --> examples/classification.rs:7:19 [INFO] [stdout] | [INFO] [stdout] 7 | use rust_nn::nn::{Module, Sequential, Linear, ReLU, Dropout}; [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: `Optimizer` [INFO] [stdout] --> examples/classification.rs:8:22 [INFO] [stdout] | [INFO] [stdout] 8 | use rust_nn::optim::{Optimizer, Adam}; [INFO] [stdout] | ^^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:117:35 [INFO] [stdout] | [INFO] [stdout] 117 | println!("Matrix (2x3):\n{}", matrix); [INFO] [stdout] | -- ^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:118:32 [INFO] [stdout] | [INFO] [stdout] 118 | println!("Bias (3,):\n{}", bias); [INFO] [stdout] | -- ^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0277]: `Tensor` doesn't implement `std::fmt::Display` [INFO] [stdout] --> examples/basic.rs:119:50 [INFO] [stdout] | [INFO] [stdout] 119 | println!("Matrix + Bias (broadcasted):\n{}", matrix.add(&bias)); [INFO] [stdout] | -- ^^^^^^^^^^^^^^^^^ `Tensor` cannot be formatted with the default formatter [INFO] [stdout] | | [INFO] [stdout] | required by this formatting parameter [INFO] [stdout] | [INFO] [stdout] = help: the trait `std::fmt::Display` is not implemented for `Tensor` [INFO] [stdout] = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] Some errors have detailed explanations: E0061, E0277, E0308, E0432, E0599. [INFO] [stdout] [INFO] [stdout] For more information about an error, try `rustc --explain E0061`. [INFO] [stdout] [INFO] [stderr] error: could not compile `rust-nn` (example "basic") due to 23 previous errors [INFO] [stderr] warning: build failed, waiting for other jobs to finish... [INFO] [stdout] error[E0308]: mismatched types [INFO] [stdout] --> examples/classification.rs:36:35 [INFO] [stdout] | [INFO] [stdout] 32 | inputs_data.push(mean + noise); [INFO] [stdout] | ----------- ------------ this argument has type `f64`... [INFO] [stdout] | | [INFO] [stdout] | ... which causes `inputs_data` to have type `Vec` [INFO] [stdout] ... [INFO] [stdout] 36 | let inputs = Tensor::from_vec(inputs_data, vec![n_samples, n_features]); [INFO] [stdout] | ---------------- ^^^^^^^^^^^ expected `Vec`, found `Vec` [INFO] [stdout] | | [INFO] [stdout] | arguments to this function are incorrect [INFO] [stdout] | [INFO] [stdout] = note: expected struct `Vec` [INFO] [stdout] found struct `Vec` [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/tensor.rs:62:12 [INFO] [stdout] | [INFO] [stdout] 62 | pub fn from_vec(data: Vec, shape: Vec) -> Self { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0308]: mismatched types [INFO] [stdout] --> examples/classification.rs:37:36 [INFO] [stdout] | [INFO] [stdout] 26 | targets_data.push(class as f64); [INFO] [stdout] | ------------ ------------ this argument has type `f64`... [INFO] [stdout] | | [INFO] [stdout] | ... which causes `targets_data` to have type `Vec` [INFO] [stdout] ... [INFO] [stdout] 37 | let targets = Tensor::from_vec(targets_data, vec![n_samples]); [INFO] [stdout] | ---------------- ^^^^^^^^^^^^ expected `Vec`, found `Vec` [INFO] [stdout] | | [INFO] [stdout] | arguments to this function are incorrect [INFO] [stdout] | [INFO] [stdout] = note: expected struct `Vec` [INFO] [stdout] found struct `Vec` [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/tensor.rs:62:12 [INFO] [stdout] | [INFO] [stdout] 62 | pub fn from_vec(data: Vec, shape: Vec) -> Self { [INFO] [stdout] | ^^^^^^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/classification.rs:46:14 [INFO] [stdout] | [INFO] [stdout] 46 | .add(Linear::new(n_features, 64)) [INFO] [stdout] | ^^^^^^^^^^^---------------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 46 | .add(Linear::new(n_features, 64, /* bool */)) [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/classification.rs:49:14 [INFO] [stdout] | [INFO] [stdout] 49 | .add(Linear::new(64, 32)) [INFO] [stdout] | ^^^^^^^^^^^-------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 49 | .add(Linear::new(64, 32, /* bool */)) [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 3 arguments but 2 arguments were supplied [INFO] [stdout] --> examples/classification.rs:51:14 [INFO] [stdout] | [INFO] [stdout] 51 | .add(Linear::new(32, n_classes)); [INFO] [stdout] | ^^^^^^^^^^^--------------- argument #3 of type `bool` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/nn.rs:19:12 [INFO] [stdout] | [INFO] [stdout] 19 | pub fn new(in_features: usize, out_features: usize, bias: bool) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 51 | .add(Linear::new(32, n_classes, /* bool */)); [INFO] [stdout] | ++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0061]: this function takes 2 arguments but 1 argument was supplied [INFO] [stdout] --> examples/classification.rs:59:21 [INFO] [stdout] | [INFO] [stdout] 59 | let optimizer = Adam::new(0.01) [INFO] [stdout] | ^^^^^^^^^ ---- argument #1 of type `Vec` is missing [INFO] [stdout] | [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/optim.rs:68:12 [INFO] [stdout] | [INFO] [stdout] 68 | pub fn new(params: Vec, lr: f32) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] help: provide the argument [INFO] [stdout] | [INFO] [stdout] 59 | let optimizer = Adam::new(/* Vec */, 0.01) [INFO] [stdout] | ++++++++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no method named `with_weight_decay` found for struct `Adam` in the current scope [INFO] [stdout] --> examples/classification.rs:60:10 [INFO] [stdout] | [INFO] [stdout] 59 | let optimizer = Adam::new(0.01) [INFO] [stdout] | _____________________- [INFO] [stdout] 60 | | .with_weight_decay(1e-4); [INFO] [stdout] | | -^^^^^^^^^^^^^^^^^ method not found in `Adam` [INFO] [stdout] | |_________| [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no associated function or constant named `new` found for struct `CrossEntropyLoss` in the current scope [INFO] [stdout] --> examples/classification.rs:61:37 [INFO] [stdout] | [INFO] [stdout] 61 | let loss_fn = CrossEntropyLoss::new(); [INFO] [stdout] | ^^^ associated function or constant not found in `CrossEntropyLoss` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0308]: mismatched types [INFO] [stdout] --> examples/classification.rs:72:36 [INFO] [stdout] | [INFO] [stdout] 72 | let mut trainer = Trainer::new(model, optimizer, loss_fn) [INFO] [stdout] | ------------ ^^^^^ expected `Arc`, found `Sequential` [INFO] [stdout] | | [INFO] [stdout] | arguments to this function are incorrect [INFO] [stdout] | [INFO] [stdout] = note: expected struct `Arc<(dyn Module + 'static)>` [INFO] [stdout] found struct `Sequential` [INFO] [stdout] note: associated function defined here [INFO] [stdout] --> src/train.rs:80:12 [INFO] [stdout] | [INFO] [stdout] 80 | pub fn new(model: Arc, optimizer: O, loss_fn: L) -> Self { [INFO] [stdout] | ^^^ [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no method named `set_shuffle` found for struct `SimpleDataLoader` in the current scope [INFO] [stdout] --> examples/classification.rs:81:18 [INFO] [stdout] | [INFO] [stdout] 81 | train_loader.set_shuffle(true); [INFO] [stdout] | ^^^^^^^^^^^ method not found in `SimpleDataLoader` [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0308]: mismatched types [INFO] [stdout] --> examples/classification.rs:97:40 [INFO] [stdout] | [INFO] [stdout] 97 | let test_inputs = inputs.reshape(&[n_samples as isize, -1]); [INFO] [stdout] | ^^^^^^^^^^^^^^^^^^ expected `usize`, found `isize` [INFO] [stdout] | [INFO] [stdout] help: you can convert an `isize` to a `usize` and panic if the converted value doesn't fit [INFO] [stdout] | [INFO] [stdout] 97 | let test_inputs = inputs.reshape(&[(n_samples as isize).try_into().unwrap(), -1]); [INFO] [stdout] | + +++++++++++++++++++++ [INFO] [stdout] [INFO] [stdout] [INFO] [stderr] error: could not compile `rust-nn` (example "classification") due to 15 previous errors; 2 warnings emitted [INFO] [stdout] error[E0600]: cannot apply unary operator `-` to type `usize` [INFO] [stdout] --> examples/classification.rs:97:60 [INFO] [stdout] | [INFO] [stdout] 97 | let test_inputs = inputs.reshape(&[n_samples as isize, -1]); [INFO] [stdout] | ^^ cannot apply unary operator `-` [INFO] [stdout] | [INFO] [stdout] = note: unsigned values cannot be negated [INFO] [stdout] help: you may have meant the maximum value of `usize` [INFO] [stdout] | [INFO] [stdout] 97 - let test_inputs = inputs.reshape(&[n_samples as isize, -1]); [INFO] [stdout] 97 + let test_inputs = inputs.reshape(&[n_samples as isize, usize::MAX]); [INFO] [stdout] | [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] error[E0599]: no method named `row` found for struct `Tensor` in the current scope [INFO] [stdout] --> examples/classification.rs:98:52 [INFO] [stdout] | [INFO] [stdout] 98 | let predictions = trainer.predict(&test_inputs.row(0).reshape(&[1, -1])); [INFO] [stdout] | ^^^ [INFO] [stdout] | [INFO] [stdout] help: there is a method `borrow` with a similar name, but with different arguments [INFO] [stdout] --> /rustc/8489f1adbe1c8f8921cf18b9962cf565237a5489/library/core/src/borrow.rs:179:4 [INFO] [stdout] [INFO] [stdout] [INFO] [stdout] Some errors have detailed explanations: E0061, E0308, E0432, E0599, E0600. [INFO] [stdout] [INFO] [stdout] For more information about an error, try `rustc --explain E0061`. [INFO] [stdout] [INFO] running `Command { std: "docker" "inspect" "66fb0f38301261568501872767c2c026f1cf6d73550f81f1b572cfe702a332e7", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "66fb0f38301261568501872767c2c026f1cf6d73550f81f1b572cfe702a332e7", kill_on_drop: false }` [INFO] [stdout] 66fb0f38301261568501872767c2c026f1cf6d73550f81f1b572cfe702a332e7