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[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fyuyuan12138%2Fnn_rust" "/workspace/builds/worker-6-tc1/source", kill_on_drop: false }`
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[INFO] crate git repo https://github.com/yuyuan12138/nn_rust already has a lockfile, it will not be regenerated
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[INFO] [stdout] warning: unused import: `crate::tensor::value::TensorValue`
[INFO] [stdout]   --> src/lib.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::tensor::value::TensorValue;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::tensor::value::TensorValue`
[INFO] [stdout]   --> src/lib.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use crate::tensor::value::TensorValue;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]  --> src/nn/optimizer.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use rayon::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]   --> src/main.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use rayon::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `t`
[INFO] [stdout]   --> src/tensor/autodiff.rs:14:39
[INFO] [stdout]    |
[INFO] [stdout] 14 |                 TensorValue::Tensor3D(t) => todo!()
[INFO] [stdout]    |                                       ^ help: if this is intentional, prefix it with an underscore: `_t`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]  --> src/nn/optimizer.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use rayon::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `t`
[INFO] [stdout]   --> src/tensor/autodiff.rs:14:39
[INFO] [stdout]    |
[INFO] [stdout] 14 |                 TensorValue::Tensor3D(t) => todo!()
[INFO] [stdout]    |                                       ^ help: if this is intentional, prefix it with an underscore: `_t`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]  --> src/nn/optimizer.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use rayon::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]   --> src/main.rs:10:5
[INFO] [stdout]    |
[INFO] [stdout] 10 | use rayon::prelude::*;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `t`
[INFO] [stdout]   --> src/tensor/autodiff.rs:14:39
[INFO] [stdout]    |
[INFO] [stdout] 14 |                 TensorValue::Tensor3D(t) => todo!()
[INFO] [stdout]    |                                       ^ help: if this is intentional, prefix it with an underscore: `_t`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `rayon::prelude`
[INFO] [stdout]  --> src/nn/optimizer.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use rayon::prelude::*;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `t`
[INFO] [stdout]   --> src/tensor/autodiff.rs:14:39
[INFO] [stdout]    |
[INFO] [stdout] 14 |                 TensorValue::Tensor3D(t) => todo!()
[INFO] [stdout]    |                                       ^ help: if this is intentional, prefix it with an underscore: `_t`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:56:61
[INFO] [stdout]    |
[INFO] [stdout] 56 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:59:61
[INFO] [stdout]    |
[INFO] [stdout] 59 |         (TensorValue::Matrix2D(grad), TensorValue::Matrix2D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:66:57
[INFO] [stdout]    |
[INFO] [stdout] 66 |         (TensorValue::Scalar(grad), TensorValue::Scalar(s)) => {
[INFO] [stdout]    |                                                         ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:69:61
[INFO] [stdout]    |
[INFO] [stdout] 69 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:56:61
[INFO] [stdout]    |
[INFO] [stdout] 56 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:59:61
[INFO] [stdout]    |
[INFO] [stdout] 59 |         (TensorValue::Matrix2D(grad), TensorValue::Matrix2D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prediction`
[INFO] [stdout]   --> src/loss_fn.rs:18:27
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                           ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets`
[INFO] [stdout]   --> src/loss_fn.rs:18:50
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                                                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:66:57
[INFO] [stdout]    |
[INFO] [stdout] 66 |         (TensorValue::Scalar(grad), TensorValue::Scalar(s)) => {
[INFO] [stdout]    |                                                         ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:69:61
[INFO] [stdout]    |
[INFO] [stdout] 69 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `detach` is never used
[INFO] [stdout]   --> src/tensor/mod.rs:20:12
[INFO] [stdout]    |
[INFO] [stdout] 19 | impl Tensor {
[INFO] [stdout]    | ----------- method in this implementation
[INFO] [stdout] 20 |     pub fn detach(&self) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `Tensor3D` is never constructed
[INFO] [stdout]  --> src/tensor/value.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | pub enum TensorValue {
[INFO] [stdout]   |          ----------- variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 6 |     Tensor3D(Vec<Vec<Vec<f64>>>),
[INFO] [stdout]   |     ^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `TensorValue` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `zeros_like` is never used
[INFO] [stdout]   --> src/tensor/value.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 9  | impl TensorValue {
[INFO] [stdout]    | ---------------- method in this implementation
[INFO] [stdout] 10 |     fn zeros_like(&self) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple variants are never constructed
[INFO] [stdout]   --> src/tensor/operation.rs:8:5
[INFO] [stdout]    |
[INFO] [stdout] 2  | pub enum Operation{
[INFO] [stdout]    |          --------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 8  |     Div,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] ...
[INFO] [stdout] 13 |     Pow(f64),
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 14 |     ReLU,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 15 |     Log(f64),
[INFO] [stdout] 16 |     Softmax,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 17 |     Sum,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 18 |     T,
[INFO] [stdout]    |     ^
[INFO] [stdout] ...
[INFO] [stdout] 21 |     Broadcast,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 22 |     Unsqueeze(usize),
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 23 |     Squeeze(usize),
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 24 |     Convolution1D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 25 |     Convolution2D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `Operation` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `div` is never used
[INFO] [stdout]  --> src/tensor/ops/div.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn div(&self, other: &Tensor) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `pow` is never used
[INFO] [stdout]  --> src/tensor/ops/pow.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn pow(&self, value: f64) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `relu` is never used
[INFO] [stdout]  --> src/tensor/ops/relu.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn relu(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `softmax` is never used
[INFO] [stdout]  --> src/tensor/ops/softmax.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn softmax(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `sum` is never used
[INFO] [stdout]  --> src/tensor/ops/sum.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn sum(&self) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `t` is never used
[INFO] [stdout]  --> src/tensor/ops/t.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn t(&self) -> Tensor {
[INFO] [stdout]   |            ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `unsqueeze` is never used
[INFO] [stdout]  --> src/tensor/ops/unsqueeze.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn unsqueeze(&self, dim: usize) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `squeeze` is never used
[INFO] [stdout]  --> src/tensor/ops/squeeze.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn squeeze(&self, dim: usize) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss` is never used
[INFO] [stdout]  --> src/loss_fn.rs:3:8
[INFO] [stdout]   |
[INFO] [stdout] 3 | pub fn mse_loss(predictions: Tensor, targets: Tensor) -> Tensor {
[INFO] [stdout]   |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]   --> src/loss_fn.rs:18:8
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prediction`
[INFO] [stdout]   --> src/loss_fn.rs:18:27
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                           ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets`
[INFO] [stdout]   --> src/loss_fn.rs:18:50
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                                                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `detach` is never used
[INFO] [stdout]   --> src/tensor/mod.rs:20:12
[INFO] [stdout]    |
[INFO] [stdout] 19 | impl Tensor {
[INFO] [stdout]    | ----------- method in this implementation
[INFO] [stdout] 20 |     pub fn detach(&self) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `Tensor3D` is never constructed
[INFO] [stdout]  --> src/tensor/value.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | pub enum TensorValue {
[INFO] [stdout]   |          ----------- variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 6 |     Tensor3D(Vec<Vec<Vec<f64>>>),
[INFO] [stdout]   |     ^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `TensorValue` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `zeros_like` is never used
[INFO] [stdout]   --> src/tensor/value.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 9  | impl TensorValue {
[INFO] [stdout]    | ---------------- method in this implementation
[INFO] [stdout] 10 |     fn zeros_like(&self) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: multiple variants are never constructed
[INFO] [stdout]   --> src/tensor/operation.rs:8:5
[INFO] [stdout]    |
[INFO] [stdout] 2  | pub enum Operation{
[INFO] [stdout]    |          --------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 8  |     Div,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] ...
[INFO] [stdout] 13 |     Pow(f64),
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 14 |     ReLU,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] 15 |     Log(f64),
[INFO] [stdout] 16 |     Softmax,
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 17 |     Sum,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 18 |     T,
[INFO] [stdout]    |     ^
[INFO] [stdout] ...
[INFO] [stdout] 21 |     Broadcast,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 22 |     Unsqueeze(usize),
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] 23 |     Squeeze(usize),
[INFO] [stdout]    |     ^^^^^^^
[INFO] [stdout] 24 |     Convolution1D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 25 |     Convolution2D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `Operation` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `div` is never used
[INFO] [stdout]  --> src/tensor/ops/div.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn div(&self, other: &Tensor) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `pow` is never used
[INFO] [stdout]  --> src/tensor/ops/pow.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn pow(&self, value: f64) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `relu` is never used
[INFO] [stdout]  --> src/tensor/ops/relu.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn relu(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `softmax` is never used
[INFO] [stdout]  --> src/tensor/ops/softmax.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn softmax(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `sum` is never used
[INFO] [stdout]  --> src/tensor/ops/sum.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn sum(&self) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `t` is never used
[INFO] [stdout]  --> src/tensor/ops/t.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn t(&self) -> Tensor {
[INFO] [stdout]   |            ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `unsqueeze` is never used
[INFO] [stdout]  --> src/tensor/ops/unsqueeze.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn unsqueeze(&self, dim: usize) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `squeeze` is never used
[INFO] [stdout]  --> src/tensor/ops/squeeze.rs:6:12
[INFO] [stdout]   |
[INFO] [stdout] 5 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 6 |     pub fn squeeze(&self, dim: usize) -> Tensor {
[INFO] [stdout]   |            ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss` is never used
[INFO] [stdout]  --> src/loss_fn.rs:3:8
[INFO] [stdout]   |
[INFO] [stdout] 3 | pub fn mse_loss(predictions: Tensor, targets: Tensor) -> Tensor {
[INFO] [stdout]   |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]   --> src/loss_fn.rs:18:8
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:56:61
[INFO] [stdout]    |
[INFO] [stdout] 56 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:59:61
[INFO] [stdout]    |
[INFO] [stdout] 59 |         (TensorValue::Matrix2D(grad), TensorValue::Matrix2D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:66:57
[INFO] [stdout]    |
[INFO] [stdout] 66 |         (TensorValue::Scalar(grad), TensorValue::Scalar(s)) => {
[INFO] [stdout]    |                                                         ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:69:61
[INFO] [stdout]    |
[INFO] [stdout] 69 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prediction`
[INFO] [stdout]   --> src/loss_fn.rs:18:27
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                           ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets`
[INFO] [stdout]   --> src/loss_fn.rs:18:50
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                                                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `detach` is never used
[INFO] [stdout]   --> src/tensor/mod.rs:20:12
[INFO] [stdout]    |
[INFO] [stdout] 19 | impl Tensor {
[INFO] [stdout]    | ----------- method in this implementation
[INFO] [stdout] 20 |     pub fn detach(&self) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `Tensor3D` is never constructed
[INFO] [stdout]  --> src/tensor/value.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | pub enum TensorValue {
[INFO] [stdout]   |          ----------- variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 6 |     Tensor3D(Vec<Vec<Vec<f64>>>),
[INFO] [stdout]   |     ^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `TensorValue` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `zeros_like` is never used
[INFO] [stdout]   --> src/tensor/value.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 9  | impl TensorValue {
[INFO] [stdout]    | ---------------- method in this implementation
[INFO] [stdout] 10 |     fn zeros_like(&self) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `Div`, `Pow`, `ReLU`, `Broadcast`, `Convolution1D`, and `Convolution2D` are never constructed
[INFO] [stdout]   --> src/tensor/operation.rs:8:5
[INFO] [stdout]    |
[INFO] [stdout] 2  | pub enum Operation{
[INFO] [stdout]    |          --------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 8  |     Div,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] ...
[INFO] [stdout] 13 |     Pow(f64),
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 14 |     ReLU,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |     Broadcast,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 24 |     Convolution1D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 25 |     Convolution2D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `Operation` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `div` is never used
[INFO] [stdout]  --> src/tensor/ops/div.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn div(&self, other: &Tensor) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `pow` is never used
[INFO] [stdout]  --> src/tensor/ops/pow.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn pow(&self, value: f64) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `relu` is never used
[INFO] [stdout]  --> src/tensor/ops/relu.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn relu(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss` is never used
[INFO] [stdout]  --> src/loss_fn.rs:3:8
[INFO] [stdout]   |
[INFO] [stdout] 3 | pub fn mse_loss(predictions: Tensor, targets: Tensor) -> Tensor {
[INFO] [stdout]   |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]   --> src/loss_fn.rs:18:8
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:56:61
[INFO] [stdout]    |
[INFO] [stdout] 56 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/unsqueeze.rs:59:61
[INFO] [stdout]    |
[INFO] [stdout] 59 |         (TensorValue::Matrix2D(grad), TensorValue::Matrix2D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:66:57
[INFO] [stdout]    |
[INFO] [stdout] 66 |         (TensorValue::Scalar(grad), TensorValue::Scalar(s)) => {
[INFO] [stdout]    |                                                         ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `s`
[INFO] [stdout]   --> src/tensor/ops/squeeze.rs:69:61
[INFO] [stdout]    |
[INFO] [stdout] 69 |         (TensorValue::Vector1D(grad), TensorValue::Vector1D(s)) => match dim {
[INFO] [stdout]    |                                                             ^ help: if this is intentional, prefix it with an underscore: `_s`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `prediction`
[INFO] [stdout]   --> src/loss_fn.rs:18:27
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                           ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_prediction`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets`
[INFO] [stdout]   --> src/loss_fn.rs:18:50
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |                                                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `detach` is never used
[INFO] [stdout]   --> src/tensor/mod.rs:20:12
[INFO] [stdout]    |
[INFO] [stdout] 19 | impl Tensor {
[INFO] [stdout]    | ----------- method in this implementation
[INFO] [stdout] 20 |     pub fn detach(&self) -> Self {
[INFO] [stdout]    |            ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variant `Tensor3D` is never constructed
[INFO] [stdout]  --> src/tensor/value.rs:6:5
[INFO] [stdout]   |
[INFO] [stdout] 2 | pub enum TensorValue {
[INFO] [stdout]   |          ----------- variant in this enum
[INFO] [stdout] ...
[INFO] [stdout] 6 |     Tensor3D(Vec<Vec<Vec<f64>>>),
[INFO] [stdout]   |     ^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `TensorValue` has derived impls for the traits `Clone` and `Debug`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `zeros_like` is never used
[INFO] [stdout]   --> src/tensor/value.rs:10:8
[INFO] [stdout]    |
[INFO] [stdout] 9  | impl TensorValue {
[INFO] [stdout]    | ---------------- method in this implementation
[INFO] [stdout] 10 |     fn zeros_like(&self) -> Self {
[INFO] [stdout]    |        ^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variants `Div`, `Pow`, `ReLU`, `Broadcast`, `Convolution1D`, and `Convolution2D` are never constructed
[INFO] [stdout]   --> src/tensor/operation.rs:8:5
[INFO] [stdout]    |
[INFO] [stdout] 2  | pub enum Operation{
[INFO] [stdout]    |          --------- variants in this enum
[INFO] [stdout] ...
[INFO] [stdout] 8  |     Div,
[INFO] [stdout]    |     ^^^
[INFO] [stdout] ...
[INFO] [stdout] 13 |     Pow(f64),
[INFO] [stdout]    |     ^^^
[INFO] [stdout] 14 |     ReLU,
[INFO] [stdout]    |     ^^^^
[INFO] [stdout] ...
[INFO] [stdout] 21 |     Broadcast,
[INFO] [stdout]    |     ^^^^^^^^^
[INFO] [stdout] ...
[INFO] [stdout] 24 |     Convolution1D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout] 25 |     Convolution2D,
[INFO] [stdout]    |     ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `Operation` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `div` is never used
[INFO] [stdout]  --> src/tensor/ops/div.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn div(&self, other: &Tensor) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `pow` is never used
[INFO] [stdout]  --> src/tensor/ops/pow.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn pow(&self, value: f64) -> Tensor {
[INFO] [stdout]   |            ^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: method `relu` is never used
[INFO] [stdout]  --> src/tensor/ops/relu.rs:5:12
[INFO] [stdout]   |
[INFO] [stdout] 4 | impl Tensor {
[INFO] [stdout]   | ----------- method in this implementation
[INFO] [stdout] 5 |     pub fn relu(&self) -> Tensor {
[INFO] [stdout]   |            ^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `mse_loss` is never used
[INFO] [stdout]  --> src/loss_fn.rs:3:8
[INFO] [stdout]   |
[INFO] [stdout] 3 | pub fn mse_loss(predictions: Tensor, targets: Tensor) -> Tensor {
[INFO] [stdout]   |        ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `cross_entropy_loss` is never used
[INFO] [stdout]   --> src/loss_fn.rs:18:8
[INFO] [stdout]    |
[INFO] [stdout] 18 | pub fn cross_entropy_loss(prediction: &[Tensor], targets: &[Tensor]) -> Tensor{
[INFO] [stdout]    |        ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 15.34s
[INFO] running `Command { std: "docker" "inspect" "e3a46b152dcf901429a203a24937e83ac28e3cc6e043434b3ef91ae0b4e5ee66", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "e3a46b152dcf901429a203a24937e83ac28e3cc6e043434b3ef91ae0b4e5ee66", kill_on_drop: false }`
[INFO] [stdout] e3a46b152dcf901429a203a24937e83ac28e3cc6e043434b3ef91ae0b4e5ee66