[INFO] cloning repository https://github.com/sszabo11/building-ai
[INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/sszabo11/building-ai" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fsszabo11%2Fbuilding-ai", kill_on_drop: false }`
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[INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }`
[INFO] [stdout] d3c0ab6c6d8778f3e82581a51ecebb3f610737ca
[INFO] checking sszabo11/building-ai against 3154cc1a3e6424e44f438a95007d043ed5ceaaf6 for pr-133502-30
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fsszabo11%2Fbuilding-ai" "/workspace/builds/worker-5-tc2/source", kill_on_drop: false }`
[INFO] [stderr] Cloning into '/workspace/builds/worker-5-tc2/source'...
[INFO] [stderr] done.
[INFO] started tweaking git repo https://github.com/sszabo11/building-ai
[INFO] finished tweaking git repo https://github.com/sszabo11/building-ai
[INFO] tweaked toml for git repo https://github.com/sszabo11/building-ai written to /workspace/builds/worker-5-tc2/source/Cargo.toml
[INFO] validating manifest of git repo https://github.com/sszabo11/building-ai on toolchain 3154cc1a3e6424e44f438a95007d043ed5ceaaf6
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+3154cc1a3e6424e44f438a95007d043ed5ceaaf6" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate git repo https://github.com/sszabo11/building-ai 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" "+3154cc1a3e6424e44f438a95007d043ed5ceaaf6" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stderr] package:   /workspace/builds/worker-5-tc2/source/nn/Cargo.toml
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[INFO] running `Command { std: "docker" "inspect" "0ad34fd90c61d8b4a62f4847ba3847154e8156d184dfe7a843beb9699e5f2205", kill_on_drop: false }`
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[INFO] [stderr] warning: profiles for the non root package will be ignored, specify profiles at the workspace root:
[INFO] [stderr] package:   /opt/rustwide/workdir/nn/Cargo.toml
[INFO] [stderr] workspace: /opt/rustwide/workdir/Cargo.toml
[INFO] [stderr]    Compiling memchr v2.3.4
[INFO] [stderr]    Compiling proc-macro2 v1.0.107
[INFO] [stderr]    Compiling radium v0.5.3
[INFO] [stderr]    Compiling zerocopy v0.8.57
[INFO] [stderr]    Compiling lexical-core v0.7.6
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[INFO] [stderr]    Compiling funty v1.1.0
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[INFO] [stderr]    Compiling arrayvec v0.5.2
[INFO] [stderr]    Compiling ryu v1.0.23
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[INFO] [stderr]     Checking num-rational v0.4.2
[INFO] [stderr]     Checking as-slice v0.2.1
[INFO] [stderr]    Compiling av-scenechange v0.14.1
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[INFO] [stdout] warning: unused import: `super::*`
[INFO] [stdout]    --> linalg/src/matrix.rs:223:9
[INFO] [stdout]     |
[INFO] [stdout] 223 |     use super::*;
[INFO] [stdout]     |         ^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
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[INFO] [stderr]     Checking toml v0.5.11
[INFO] [stderr]     Checking askama v0.10.5
[INFO] [stderr]     Checking ravif v0.13.0
[INFO] [stderr]     Checking ppv-lite86 v0.2.21
[INFO] [stderr]     Checking half v2.7.1
[INFO] [stderr]     Checking tiff v0.11.3
[INFO] [stderr]     Checking exr v1.74.2
[INFO] [stderr]     Checking rand_chacha v0.3.1
[INFO] [stderr]     Checking rand v0.8.8
[INFO] [stderr]     Checking rand_distr v0.4.3
[INFO] [stderr]     Checking plotly v0.7.0
[INFO] [stderr]     Checking image v0.25.10
[INFO] [stderr]     Checking simple-plot v0.1.2
[INFO] [stderr]     Checking nn v0.1.0 (/opt/rustwide/workdir/nn)
[INFO] [stdout] warning: unused import: `core::num`
[INFO] [stdout]  --> nn/src/net.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use core::num;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `loss` found for mutable reference `&mut ConvNet` in the current scope
[INFO] [stdout]   --> nn/src/cnn.rs:33:37
[INFO] [stdout]    |
[INFO] [stdout] 33 |                     let loss = self.loss(&out, &y_train);
[INFO] [stdout]    |                                     ^^^^ method not found in `&mut ConvNet`
[INFO] [stdout]    |
[INFO] [stdout] help: one of the expressions' fields has a method of the same name
[INFO] [stdout]    |
[INFO] [stdout] 33 |                     let loss = self.fully_connected.loss(&out, &y_train);
[INFO] [stdout]    |                                     ++++++++++++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `core::num`
[INFO] [stdout]  --> nn/src/net.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use core::num;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> nn/src/cnn.rs:40:73
[INFO] [stdout]     |
[INFO] [stdout]  40 |                         let (weight_grads, bias_grads) = layer.backward(&x_train, &y_train.t());
[INFO] [stdout]     |                                                                -------- ^^^^^^^^ expected `&Matrix`, found `&&Vec<Matrix>`
[INFO] [stdout]     |                                                                |
[INFO] [stdout]     |                                                                arguments to this method are incorrect
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected reference `&Matrix`
[INFO] [stdout]                found reference `&&Vec<Matrix>`
[INFO] [stdout] note: method defined here
[INFO] [stdout]    --> nn/src/cnn.rs:150:12
[INFO] [stdout]     |
[INFO] [stdout] 150 |     pub fn backward(&mut self, x_input: &Matrix, y: &Matrix) -> (Vec<Matrix>, Vec<Matrix>) {
[INFO] [stdout]     |            ^^^^^^^^            ----------------
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: cannot subtract `&Matrix` from `f32`
[INFO] [stdout]   --> nn/src/cnn.rs:42:55
[INFO] [stdout]    |
[INFO] [stdout] 42 |                         layer.bias[f] = layer.bias[f] - (&bias_grads[f].scale(lr));
[INFO] [stdout]    |                                                       ^ no implementation for `f32 - &Matrix`
[INFO] [stdout]    |
[INFO] [stdout]    = help: the trait `std::ops::Sub<&Matrix>` is not implemented for `f32`
[INFO] [stdout]    = help: the following other types implement trait `std::ops::Sub<Rhs>`:
[INFO] [stdout]              `&f32` implements `std::ops::Sub<&num_complex::Complex<f32>>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub<f32>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub<num_complex::Complex<f32>>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub`
[INFO] [stdout]              `f32` implements `std::ops::Sub<&f32>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<&num_complex::Complex<f32>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<num_complex::Complex<f32>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<zerocopy::byteorder::F32<O>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `loss` found for mutable reference `&mut ConvNet` in the current scope
[INFO] [stdout]   --> nn/src/cnn.rs:33:37
[INFO] [stdout]    |
[INFO] [stdout] 33 |                     let loss = self.loss(&out, &y_train);
[INFO] [stdout]    |                                     ^^^^ method not found in `&mut ConvNet`
[INFO] [stdout]    |
[INFO] [stdout] help: one of the expressions' fields has a method of the same name
[INFO] [stdout]    |
[INFO] [stdout] 33 |                     let loss = self.fully_connected.loss(&out, &y_train);
[INFO] [stdout]    |                                     ++++++++++++++++
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cols`
[INFO] [stdout]    --> nn/src/cnn.rs:224:13
[INFO] [stdout]     |
[INFO] [stdout] 224 |         let cols = input[0].cols;
[INFO] [stdout]     |             ^^^^ help: if this is intentional, prefix it with an underscore: `_cols`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> nn/src/cnn.rs:40:73
[INFO] [stdout]     |
[INFO] [stdout]  40 |                         let (weight_grads, bias_grads) = layer.backward(&x_train, &y_train.t());
[INFO] [stdout]     |                                                                -------- ^^^^^^^^ expected `&Matrix`, found `&&Vec<Matrix>`
[INFO] [stdout]     |                                                                |
[INFO] [stdout]     |                                                                arguments to this method are incorrect
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected reference `&Matrix`
[INFO] [stdout]                found reference `&&Vec<Matrix>`
[INFO] [stdout] note: method defined here
[INFO] [stdout]    --> nn/src/cnn.rs:150:12
[INFO] [stdout]     |
[INFO] [stdout] 150 |     pub fn backward(&mut self, x_input: &Matrix, y: &Matrix) -> (Vec<Matrix>, Vec<Matrix>) {
[INFO] [stdout]     |            ^^^^^^^^            ----------------
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: cannot subtract `&Matrix` from `f32`
[INFO] [stdout]   --> nn/src/cnn.rs:42:55
[INFO] [stdout]    |
[INFO] [stdout] 42 |                         layer.bias[f] = layer.bias[f] - (&bias_grads[f].scale(lr));
[INFO] [stdout]    |                                                       ^ no implementation for `f32 - &Matrix`
[INFO] [stdout]    |
[INFO] [stdout]    = help: the trait `std::ops::Sub<&Matrix>` is not implemented for `f32`
[INFO] [stdout]    = help: the following other types implement trait `std::ops::Sub<Rhs>`:
[INFO] [stdout]              `&f32` implements `std::ops::Sub<&num_complex::Complex<f32>>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub<f32>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub<num_complex::Complex<f32>>`
[INFO] [stdout]              `&f32` implements `std::ops::Sub`
[INFO] [stdout]              `f32` implements `std::ops::Sub<&f32>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<&num_complex::Complex<f32>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<num_complex::Complex<f32>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub<zerocopy::byteorder::F32<O>>`
[INFO] [stdout]              `f32` implements `std::ops::Sub`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unreachable pattern
[INFO] [stdout]    --> nn/src/net.rs:204:9
[INFO] [stdout]     |
[INFO] [stdout] 204 |         _ => {
[INFO] [stdout]     |         ^ no value can reach this
[INFO] [stdout]     |
[INFO] [stdout] note: multiple earlier patterns match some of the same values
[INFO] [stdout]    --> nn/src/net.rs:204:9
[INFO] [stdout]     |
[INFO] [stdout] 200 |         Activation::Sigmoid => sigmoid(x),
[INFO] [stdout]     |         ------------------- matches some of the same values
[INFO] [stdout] 201 |         Activation::Linear => linear(x),
[INFO] [stdout]     |         ------------------ matches some of the same values
[INFO] [stdout] 202 |         Activation::ReLu => relu(x),
[INFO] [stdout]     |         ---------------- matches some of the same values
[INFO] [stdout] 203 |         Activation::Tanh => tanh(x),
[INFO] [stdout]     |         ---------------- matches some of the same values
[INFO] [stdout] 204 |         _ => {
[INFO] [stdout]     |         ^ collectively making this unreachable
[INFO] [stdout]     = note: `#[warn(unreachable_patterns)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `m_len`
[INFO] [stdout]   --> nn/src/probs.rs:17:28
[INFO] [stdout]    |
[INFO] [stdout] 17 |     let (multiplied_twice, m_len) = mul_twice(&numbers);
[INFO] [stdout]    |                            ^^^^^ help: if this is intentional, prefix it with an underscore: `_m_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `cols`
[INFO] [stdout]    --> nn/src/cnn.rs:224:13
[INFO] [stdout]     |
[INFO] [stdout] 224 |         let cols = input[0].cols;
[INFO] [stdout]     |             ^^^^ help: if this is intentional, prefix it with an underscore: `_cols`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0277, E0308, E0599.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0277`.
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `nn` (lib test) due to 3 previous errors; 4 warnings emitted
[INFO] [stderr] warning: build failed, waiting for other jobs to finish...
[INFO] [stdout] warning: unreachable pattern
[INFO] [stdout]    --> nn/src/net.rs:204:9
[INFO] [stdout]     |
[INFO] [stdout] 204 |         _ => {
[INFO] [stdout]     |         ^ no value can reach this
[INFO] [stdout]     |
[INFO] [stdout] note: multiple earlier patterns match some of the same values
[INFO] [stdout]    --> nn/src/net.rs:204:9
[INFO] [stdout]     |
[INFO] [stdout] 200 |         Activation::Sigmoid => sigmoid(x),
[INFO] [stdout]     |         ------------------- matches some of the same values
[INFO] [stdout] 201 |         Activation::Linear => linear(x),
[INFO] [stdout]     |         ------------------ matches some of the same values
[INFO] [stdout] 202 |         Activation::ReLu => relu(x),
[INFO] [stdout]     |         ---------------- matches some of the same values
[INFO] [stdout] 203 |         Activation::Tanh => tanh(x),
[INFO] [stdout]     |         ---------------- matches some of the same values
[INFO] [stdout] 204 |         _ => {
[INFO] [stdout]     |         ^ collectively making this unreachable
[INFO] [stdout]     = note: `#[warn(unreachable_patterns)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `m_len`
[INFO] [stdout]   --> nn/src/probs.rs:17:28
[INFO] [stdout]    |
[INFO] [stdout] 17 |     let (multiplied_twice, m_len) = mul_twice(&numbers);
[INFO] [stdout]    |                            ^^^^^ help: if this is intentional, prefix it with an underscore: `_m_len`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0277, E0308, E0599.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0277`.
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `nn` (lib) due to 3 previous errors; 4 warnings emitted
[INFO] running `Command { std: "docker" "inspect" "0ad34fd90c61d8b4a62f4847ba3847154e8156d184dfe7a843beb9699e5f2205", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "0ad34fd90c61d8b4a62f4847ba3847154e8156d184dfe7a843beb9699e5f2205", kill_on_drop: false }`
[INFO] [stdout] 0ad34fd90c61d8b4a62f4847ba3847154e8156d184dfe7a843beb9699e5f2205
