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[INFO] checking iofuwisa/learning_rust_dl against try#8de4b308b608cded0ebccf658a0fc719bce87d4e for pr-89056
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fiofuwisa%2Flearning_rust_dl" "/workspace/builds/worker-3/source", kill_on_drop: false }`
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[INFO] crate git repo https://github.com/iofuwisa/learning_rust_dl already has a lockfile, it will not be regenerated
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[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/activation_functions.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]  --> src/deep_learning/activation_functions.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use crate::deep_learning::common::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/loss_functions.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Dim`, `arr1`, `arr2`
[INFO] [stdout]  --> src/deep_learning/network.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 6 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     Dim,
[INFO] [stdout]   |     ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `identity_array`, `sigmoid_array`, `softmax_array`
[INFO] [stdout]   --> src/deep_learning/network.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 |     identity_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     sigmoid_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 13 |     softmax_array
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::mnist::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | use crate::deep_learning::mnist::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::prelude::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:20:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | use rand::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `NormalizedMnist`
[INFO] [stdout]  --> src/deep_learning/mnist.rs:4:20
[INFO] [stdout]   |
[INFO] [stdout] 4 | use mnist::{Mnist, NormalizedMnist, MnistBuilder};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayBase`, `Axis`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:6:5
[INFO] [stdout]    |
[INFO] [stdout] 6  |     ArrayBase,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 7  |     Array,
[INFO] [stdout] 8  |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 9  |     Array2,
[INFO] [stdout] 10 |     Axis,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 11 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 12 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 13 |     s
[INFO] [stdout]    |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:15:5
[INFO] [stdout]    |
[INFO] [stdout] 15 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/common.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Duration`, `Instant`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:7:17
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::time::{Duration, Instant};
[INFO] [stdout]   |                 ^^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `arr1`, `arr2`
[INFO] [stdout]   --> src/deep_learning/network_learning.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 14 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/network_layers.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `Axis`, `arr1`, `arr2`
[INFO] [stdout]  --> src/deep_learning/affine_layer.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 3 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 4 |     Array2,
[INFO] [stdout] 5 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 6 |     Axis,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:25:6
[INFO] [stdout]    |
[INFO] [stdout] 25 | impl NetworkBatchLayer {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^ help: use `dyn`: `dyn NetworkBatchLayer`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(bare_trait_objects)]` on by default
[INFO] [stdout]    = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021!
[INFO] [stdout]    = note: for more information, see <https://doc.rust-lang.org/nightly/edition-guide/rust-2021/warnings-promoted-to-error.html>
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `arr1`, `arr2`, `s`
[INFO] [stdout]  --> src/deep_learning/softmax_with_loss.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 4 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 5 |     Array2,
[INFO] [stdout] 6 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 9 |     s,
[INFO] [stdout]   |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray::Dim`
[INFO] [stdout]   --> src/deep_learning/softmax_with_loss.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use ndarray::Dim;
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr2`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_layers::*`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::activation_layers::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::softmax_with_loss::*`
[INFO] [stdout]   --> src/deep_learning/neural_network.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::deep_learning::softmax_with_loss::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_layers`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 | use crate::deep_learning::network_layers::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/deep_learning/common.rs:100:9
[INFO] [stdout]     |
[INFO] [stdout] 100 |     for i in 0..size {
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dout`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:51:28
[INFO] [stdout]    |
[INFO] [stdout] 51 |     fn backward(&mut self, dout: Array2<f64>, learning_rate: f64) {
[INFO] [stdout]    |                            ^^^^ help: if this is intentional, prefix it with an underscore: `_dout`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `learning_rate`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:51:47
[INFO] [stdout]    |
[INFO] [stdout] 51 |     fn backward(&mut self, dout: Array2<f64>, learning_rate: f64) {
[INFO] [stdout]    |                                               ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function is never used: `set_panic_hook`
[INFO] [stdout]  --> src/utils.rs:1:8
[INFO] [stdout]   |
[INFO] [stdout] 1 | pub fn set_panic_hook() {
[INFO] [stdout]   |        ^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function is never used: `is_loss_layer`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:26:8
[INFO] [stdout]    |
[INFO] [stdout] 26 |     fn is_loss_layer(&self) -> bool {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `trn_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:45:13
[INFO] [stdout]    |
[INFO] [stdout] 45 |             trn_img: trn_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_shorthand_field_patterns)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `val_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:47:13
[INFO] [stdout]    |
[INFO] [stdout] 47 |             val_img: val_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `tst_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:49:13
[INFO] [stdout]    |
[INFO] [stdout] 49 |             tst_img: tst_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: 33 warnings emitted
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/activation_functions.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]  --> src/deep_learning/activation_functions.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 6 | use crate::deep_learning::common::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/loss_functions.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Dim`, `arr1`, `arr2`
[INFO] [stdout]  --> src/deep_learning/network.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 6 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     Dim,
[INFO] [stdout]   |     ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `identity_array`, `sigmoid_array`, `softmax_array`
[INFO] [stdout]   --> src/deep_learning/network.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 |     identity_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     sigmoid_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 13 |     softmax_array
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::mnist::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | use crate::deep_learning::mnist::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::prelude::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:20:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | use rand::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `NormalizedMnist`
[INFO] [stdout]  --> src/deep_learning/mnist.rs:4:20
[INFO] [stdout]   |
[INFO] [stdout] 4 | use mnist::{Mnist, NormalizedMnist, MnistBuilder};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayBase`, `Axis`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:6:5
[INFO] [stdout]    |
[INFO] [stdout] 6  |     ArrayBase,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 7  |     Array,
[INFO] [stdout] 8  |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 9  |     Array2,
[INFO] [stdout] 10 |     Axis,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 11 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 12 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 13 |     s
[INFO] [stdout]    |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:15:5
[INFO] [stdout]    |
[INFO] [stdout] 15 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/common.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Duration`, `Instant`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:7:17
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::time::{Duration, Instant};
[INFO] [stdout]   |                 ^^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `arr1`, `arr2`
[INFO] [stdout]   --> src/deep_learning/network_learning.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 14 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr1`
[INFO] [stdout]  --> src/deep_learning/network_layers.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `Axis`, `arr1`, `arr2`
[INFO] [stdout]  --> src/deep_learning/affine_layer.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 3 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 4 |     Array2,
[INFO] [stdout] 5 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 6 |     Axis,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:25:6
[INFO] [stdout]    |
[INFO] [stdout] 25 | impl NetworkBatchLayer {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^ help: use `dyn`: `dyn NetworkBatchLayer`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(bare_trait_objects)]` on by default
[INFO] [stdout]    = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021!
[INFO] [stdout]    = note: for more information, see <https://doc.rust-lang.org/nightly/edition-guide/rust-2021/warnings-promoted-to-error.html>
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `arr1`, `arr2`, `s`
[INFO] [stdout]  --> src/deep_learning/softmax_with_loss.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 4 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 5 |     Array2,
[INFO] [stdout] 6 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 9 |     s,
[INFO] [stdout]   |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray::Dim`
[INFO] [stdout]   --> src/deep_learning/softmax_with_loss.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use ndarray::Dim;
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `arr2`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 |     arr2,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_layers::*`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::activation_layers::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::softmax_with_loss::*`
[INFO] [stdout]   --> src/deep_learning/neural_network.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::deep_learning::softmax_with_loss::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_functions::*`
[INFO] [stdout]  --> src/main.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::deep_learning::activation_functions::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::loss_functions::*`
[INFO] [stdout]  --> src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::deep_learning::loss_functions::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]  --> src/main.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use crate::deep_learning::common::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::graph_plotter::*`
[INFO] [stdout]  --> src/main.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::graph_plotter::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/main.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::neural_network_learning::*`
[INFO] [stdout]   --> src/main.rs:15:5
[INFO] [stdout]    |
[INFO] [stdout] 15 | use crate::deep_learning::neural_network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView`, `Array`, `Axis`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/main.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 |     Array,
[INFO] [stdout]    |     ^^^^^
[INFO] [stdout] 19 |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 20 |     Array2,
[INFO] [stdout] 21 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 22 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 23 |     s,
[INFO] [stdout]    |     ^
[INFO] [stdout] 24 |     Axis,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 25 |     ArrayView
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]   --> src/main.rs:28:5
[INFO] [stdout]    |
[INFO] [stdout] 28 | use rand::Rng;
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::f64::consts::E`
[INFO] [stdout]   --> src/main.rs:29:5
[INFO] [stdout]    |
[INFO] [stdout] 29 | use std::f64::consts::E;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Duration`, `Instant`
[INFO] [stdout]   --> src/main.rs:30:17
[INFO] [stdout]    |
[INFO] [stdout] 30 | use std::time::{Duration, Instant};
[INFO] [stdout]    |                 ^^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_layers`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 | use crate::deep_learning::network_layers::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `trn_lbl`
[INFO] [stdout]   --> src/main.rs:47:9
[INFO] [stdout]    |
[INFO] [stdout] 47 |     let trn_lbl = mnist.get_trn_lbl();
[INFO] [stdout]    |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_trn_lbl`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `tst_lbl`
[INFO] [stdout]   --> src/main.rs:51:9
[INFO] [stdout]    |
[INFO] [stdout] 51 |     let tst_lbl = mnist.get_tst_lbl();
[INFO] [stdout]    |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_tst_lbl`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> src/deep_learning/common.rs:100:9
[INFO] [stdout]     |
[INFO] [stdout] 100 |     for i in 0..size {
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `dout`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:51:28
[INFO] [stdout]    |
[INFO] [stdout] 51 |     fn backward(&mut self, dout: Array2<f64>, learning_rate: f64) {
[INFO] [stdout]    |                            ^^^^ help: if this is intentional, prefix it with an underscore: `_dout`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `learning_rate`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:51:47
[INFO] [stdout]    |
[INFO] [stdout] 51 |     fn backward(&mut self, dout: Array2<f64>, learning_rate: f64) {
[INFO] [stdout]    |                                               ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: associated function is never used: `is_loss_layer`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:26:8
[INFO] [stdout]    |
[INFO] [stdout] 26 |     fn is_loss_layer(&self) -> bool {
[INFO] [stdout]    |        ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `trn_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:45:13
[INFO] [stdout]    |
[INFO] [stdout] 45 |             trn_img: trn_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `trn_img`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(non_shorthand_field_patterns)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `val_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:47:13
[INFO] [stdout]    |
[INFO] [stdout] 47 |             val_img: val_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `val_img`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: the `tst_img:` in this pattern is redundant
[INFO] [stdout]   --> src/deep_learning/mnist.rs:49:13
[INFO] [stdout]    |
[INFO] [stdout] 49 |             tst_img: tst_img,
[INFO] [stdout]    |             ^^^^^^^^^^^^^^^^ help: use shorthand field pattern: `tst_img`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: 44 warnings emitted
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Checking wasm-bindgen-futures v0.4.26
[INFO] [stderr]     Checking wasm-bindgen-test v0.3.26
[INFO] [stdout] warning: unused imports: `identity_array`, `sigmoid_array`, `softmax_array`
[INFO] [stdout]   --> src/deep_learning/network.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 |     identity_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     sigmoid_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 13 |     softmax_array
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::mnist::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | use crate::deep_learning::mnist::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::prelude::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:20:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | use rand::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `NormalizedMnist`
[INFO] [stdout]  --> src/deep_learning/mnist.rs:4:20
[INFO] [stdout]   |
[INFO] [stdout] 4 | use mnist::{Mnist, NormalizedMnist, MnistBuilder};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayBase`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:6:5
[INFO] [stdout]    |
[INFO] [stdout] 6  |     ArrayBase,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 7  |     Array,
[INFO] [stdout] 8  |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 11 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 12 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 13 |     s
[INFO] [stdout]    |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Duration`, `Instant`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:7:17
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::time::{Duration, Instant};
[INFO] [stdout]   |                 ^^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `Axis`, `arr1`
[INFO] [stdout]  --> src/deep_learning/affine_layer.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 3 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 4 |     Array2,
[INFO] [stdout] 5 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 6 |     Axis,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:25:6
[INFO] [stdout]    |
[INFO] [stdout] 25 | impl NetworkBatchLayer {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^ help: use `dyn`: `dyn NetworkBatchLayer`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(bare_trait_objects)]` on by default
[INFO] [stdout]    = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021!
[INFO] [stdout]    = note: for more information, see <https://doc.rust-lang.org/nightly/edition-guide/rust-2021/warnings-promoted-to-error.html>
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `arr1`, `s`
[INFO] [stdout]  --> src/deep_learning/softmax_with_loss.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 4 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 5 |     Array2,
[INFO] [stdout] 6 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout] 9 |     s,
[INFO] [stdout]   |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray::Dim`
[INFO] [stdout]   --> src/deep_learning/softmax_with_loss.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use ndarray::Dim;
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_layers::*`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::activation_layers::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `identity_array`, `sigmoid_array`, `softmax_array`
[INFO] [stdout]   --> src/deep_learning/network.rs:11:5
[INFO] [stdout]    |
[INFO] [stdout] 11 |     identity_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 12 |     sigmoid_array,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 13 |     softmax_array
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::mnist::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 | use crate::deep_learning::mnist::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::prelude::*`
[INFO] [stdout]   --> src/deep_learning/network.rs:20:5
[INFO] [stdout]    |
[INFO] [stdout] 20 | use rand::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `NormalizedMnist`
[INFO] [stdout]  --> src/deep_learning/mnist.rs:4:20
[INFO] [stdout]   |
[INFO] [stdout] 4 | use mnist::{Mnist, NormalizedMnist, MnistBuilder};
[INFO] [stdout]   |                    ^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayBase`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:6:5
[INFO] [stdout]    |
[INFO] [stdout] 6  |     ArrayBase,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 7  |     Array,
[INFO] [stdout] 8  |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 11 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 12 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 13 |     s
[INFO] [stdout]    |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/deep_learning/mnist.rs:16:5
[INFO] [stdout]    |
[INFO] [stdout] 16 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rand::Rng`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use rand::Rng;
[INFO] [stdout]   |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Duration`, `Instant`
[INFO] [stdout]  --> src/deep_learning/network_learning.rs:7:17
[INFO] [stdout]   |
[INFO] [stdout] 7 | use std::time::{Duration, Instant};
[INFO] [stdout]   |                 ^^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `Axis`, `arr1`
[INFO] [stdout]  --> src/deep_learning/affine_layer.rs:2:5
[INFO] [stdout]   |
[INFO] [stdout] 2 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 3 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 4 |     Array2,
[INFO] [stdout] 5 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 6 |     Axis,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use crate::deep_learning::common::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: trait objects without an explicit `dyn` are deprecated
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:25:6
[INFO] [stdout]    |
[INFO] [stdout] 25 | impl NetworkBatchLayer {
[INFO] [stdout]    |      ^^^^^^^^^^^^^^^^^ help: use `dyn`: `dyn NetworkBatchLayer`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(bare_trait_objects)]` on by default
[INFO] [stdout]    = warning: this is accepted in the current edition (Rust 2018) but is a hard error in Rust 2021!
[INFO] [stdout]    = note: for more information, see <https://doc.rust-lang.org/nightly/edition-guide/rust-2021/warnings-promoted-to-error.html>
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView1`, `Array`, `arr1`, `s`
[INFO] [stdout]  --> src/deep_learning/softmax_with_loss.rs:3:5
[INFO] [stdout]   |
[INFO] [stdout] 3 |     Array,
[INFO] [stdout]   |     ^^^^^
[INFO] [stdout] 4 |     Array1,
[INFO] [stdout]   |     ^^^^^^
[INFO] [stdout] 5 |     Array2,
[INFO] [stdout] 6 |     ArrayView1,
[INFO] [stdout]   |     ^^^^^^^^^^
[INFO] [stdout] 7 |     arr1,
[INFO] [stdout]   |     ^^^^
[INFO] [stdout] 8 |     arr2,
[INFO] [stdout] 9 |     s,
[INFO] [stdout]   |     ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `ndarray::Dim`
[INFO] [stdout]   --> src/deep_learning/softmax_with_loss.rs:12:5
[INFO] [stdout]    |
[INFO] [stdout] 12 | use ndarray::Dim;
[INFO] [stdout]    |     ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_layers::*`
[INFO] [stdout]  --> src/deep_learning/neural_network.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::activation_layers::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::activation_functions::*`
[INFO] [stdout]  --> src/main.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::deep_learning::activation_functions::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::loss_functions::*`
[INFO] [stdout]  --> src/main.rs:5:5
[INFO] [stdout]   |
[INFO] [stdout] 5 | use crate::deep_learning::loss_functions::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::common::*`
[INFO] [stdout]  --> src/main.rs:8:5
[INFO] [stdout]   |
[INFO] [stdout] 8 | use crate::deep_learning::common::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::graph_plotter::*`
[INFO] [stdout]  --> src/main.rs:9:5
[INFO] [stdout]   |
[INFO] [stdout] 9 | use crate::deep_learning::graph_plotter::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_learning::*`
[INFO] [stdout]   --> src/main.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::deep_learning::network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::neural_network_learning::*`
[INFO] [stdout]   --> src/main.rs:15:5
[INFO] [stdout]    |
[INFO] [stdout] 15 | use crate::deep_learning::neural_network_learning::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array1`, `ArrayView`, `Array`, `Axis`, `arr1`, `arr2`, `s`
[INFO] [stdout]   --> src/main.rs:18:5
[INFO] [stdout]    |
[INFO] [stdout] 18 |     Array,
[INFO] [stdout]    |     ^^^^^
[INFO] [stdout] 19 |     Array1,
[INFO] [stdout]    |     ^^^^^^
[INFO] [stdout] 20 |     Array2,
[INFO] [stdout] 21 |     arr1,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 22 |     arr2,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 23 |     s,
[INFO] [stdout]    |     ^
[INFO] [stdout] 24 |     Axis,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 25 |     ArrayView
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Duration`
[INFO] [stdout]   --> src/main.rs:30:17
[INFO] [stdout]    |
[INFO] [stdout] 30 | use std::time::{Duration, Instant};
[INFO] [stdout]    |                 ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:170:41
[INFO] [stdout]     |
[INFO] [stdout] 170 |         let diffs = relu.backward(dout, Vec::<Array2<f64>>::new());
[INFO] [stdout]     |                                         ^^^^^^^^^^^^^^^^^^^^^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<f64>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:170:41
[INFO] [stdout]     |
[INFO] [stdout] 170 |         let diffs = relu.backward(dout, Vec::<Array2<f64>>::new());
[INFO] [stdout]     |                                         ^^^^^^^^^^^^^^^^^^^^^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<f64>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:172:26
[INFO] [stdout]     |
[INFO] [stdout] 172 |         assert_eq!(diffs.len(), 1);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:173:20
[INFO] [stdout]     |
[INFO] [stdout] 173 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:172:26
[INFO] [stdout]     |
[INFO] [stdout] 172 |         assert_eq!(diffs.len(), 1);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:173:20
[INFO] [stdout]     |
[INFO] [stdout] 173 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:227:52
[INFO] [stdout]     |
[INFO] [stdout] 227 |         let diffs = sigmoid.backward(dout.clone(), Vec::<Array2<f64>>::new());
[INFO] [stdout]     |                                                    ^^^^^^^^^^^^^^^^^^^^^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<f64>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:227:52
[INFO] [stdout]     |
[INFO] [stdout] 227 |         let diffs = sigmoid.backward(dout.clone(), Vec::<Array2<f64>>::new());
[INFO] [stdout]     |                                                    ^^^^^^^^^^^^^^^^^^^^^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<f64>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:229:26
[INFO] [stdout]     |
[INFO] [stdout] 229 |         assert_eq!(diffs.len(), 1);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:236:38
[INFO] [stdout]     |
[INFO] [stdout] 236 |         assert_eq!(round_digit_arr2(&diffs[0], -4), round_digit_arr2(&(dout*sigmoid_diff), -4));
[INFO] [stdout]     |                                      ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:229:26
[INFO] [stdout]     |
[INFO] [stdout] 229 |         assert_eq!(diffs.len(), 1);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/activation_layers.rs:236:38
[INFO] [stdout]     |
[INFO] [stdout] 236 |         assert_eq!(round_digit_arr2(&diffs[0], -4), round_digit_arr2(&(dout*sigmoid_diff), -4));
[INFO] [stdout]     |                                      ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:284:43
[INFO] [stdout]     |
[INFO] [stdout] 284 |         let diffs = affine.backward(dout, diffs);
[INFO] [stdout]     |                                           ^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<{float}>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:286:26
[INFO] [stdout]     |
[INFO] [stdout] 286 |         assert_eq!(diffs.len(), 4);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:287:20
[INFO] [stdout]     |
[INFO] [stdout] 287 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:293:20
[INFO] [stdout]     |
[INFO] [stdout] 293 |         assert_eq!(diffs[1], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:299:20
[INFO] [stdout]     |
[INFO] [stdout] 299 |         assert_eq!(diffs[2], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:305:20
[INFO] [stdout]     |
[INFO] [stdout] 305 |         assert_eq!(diffs[3], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.3`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:284:43
[INFO] [stdout]     |
[INFO] [stdout] 284 |         let diffs = affine.backward(dout, diffs);
[INFO] [stdout]     |                                           ^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<{float}>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:286:26
[INFO] [stdout]     |
[INFO] [stdout] 286 |         assert_eq!(diffs.len(), 4);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:287:20
[INFO] [stdout]     |
[INFO] [stdout] 287 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:293:20
[INFO] [stdout]     |
[INFO] [stdout] 293 |         assert_eq!(diffs[1], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:299:20
[INFO] [stdout]     |
[INFO] [stdout] 299 |         assert_eq!(diffs[2], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.2`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/affine_layer.rs:305:20
[INFO] [stdout]     |
[INFO] [stdout] 305 |         assert_eq!(diffs[3], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.3`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:237:56
[INFO] [stdout]     |
[INFO] [stdout] 237 |         let diffs = softmaxLoss.backward(dout.clone(), diffs);
[INFO] [stdout]     |                                                        ^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<{float}>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:239:26
[INFO] [stdout]     |
[INFO] [stdout] 239 |         assert_eq!(diffs.len(), 2);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:240:20
[INFO] [stdout]     |
[INFO] [stdout] 240 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:246:20
[INFO] [stdout]     |
[INFO] [stdout] 246 |         assert_eq!(diffs[1], dout * (softmaxLoss.forward().to_owned() - t));
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0308]: mismatched types
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:237:56
[INFO] [stdout]     |
[INFO] [stdout] 237 |         let diffs = softmaxLoss.backward(dout.clone(), diffs);
[INFO] [stdout]     |                                                        ^^^^^ expected `f64`, found struct `Vec`
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected type `f64`
[INFO] [stdout]              found struct `Vec<ArrayBase<OwnedRepr<{float}>, ndarray::Dim<[usize; 2]>>>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_layers`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 | use crate::deep_learning::network_layers::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 16 previous errors; 23 warnings emitted
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0308, E0599, E0608.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0308`.
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `len` found for unit type `()` in the current scope
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:239:26
[INFO] [stdout]     |
[INFO] [stdout] 239 |         assert_eq!(diffs.len(), 2);
[INFO] [stdout]     |                          ^^^ method not found in `()`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:240:20
[INFO] [stdout]     |
[INFO] [stdout] 240 |         assert_eq!(diffs[0], arr2(&
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.0`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0608]: cannot index into a value of type `()`
[INFO] [stdout]    --> src/deep_learning/softmax_with_loss.rs:246:20
[INFO] [stdout]     |
[INFO] [stdout] 246 |         assert_eq!(diffs[1], dout * (softmaxLoss.forward().to_owned() - t));
[INFO] [stdout]     |                    ^^^^^^^^ help: to access tuple elements, use: `diffs.1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `deep_learning` due to 17 previous errors; 23 warnings emitted
[INFO] [stderr] warning: build failed, waiting for other jobs to finish...
[INFO] [stdout] warning: unused import: `crate::deep_learning::network_layers`
[INFO] [stdout]   --> src/deep_learning/affine_layer.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 | use crate::deep_learning::network_layers::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: aborting due to 16 previous errors; 15 warnings emitted
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0308, E0599, E0608.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0308`.
[INFO] [stdout] 
[INFO] [stderr] error: build failed
[INFO] running `Command { std: "docker" "inspect" "10d27e5210ca204b069722c9ede2c879564aa72c82c17605f5acb817ecb10ccc", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "10d27e5210ca204b069722c9ede2c879564aa72c82c17605f5acb817ecb10ccc", kill_on_drop: false }`
[INFO] [stdout] 10d27e5210ca204b069722c9ede2c879564aa72c82c17605f5acb817ecb10ccc