[INFO] fetching crate numrs-core 0.1.19...
[INFO] checking numrs-core-0.1.19 against try#012cd62c9add58ab3910e44c137d87db3ab70f61 for pr-155915
[INFO] extracting crate numrs-core 0.1.19 into /workspace/builds/worker-5-tc2/source
[INFO] removed /workspace/builds/worker-5-tc2/source/.cargo/config.toml
[INFO] started tweaking crates.io crate numrs-core 0.1.19
[INFO] removed 0 missing examples
[INFO] removed 0 missing tests
[INFO] finished tweaking crates.io crate numrs-core 0.1.19
[INFO] tweaked toml for crates.io crate numrs-core 0.1.19 written to /workspace/builds/worker-5-tc2/source/Cargo.toml
[INFO] validating manifest of crates.io crate numrs-core 0.1.19 on toolchain 012cd62c9add58ab3910e44c137d87db3ab70f61
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+012cd62c9add58ab3910e44c137d87db3ab70f61" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate numrs-core 0.1.19 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" "+012cd62c9add58ab3910e44c137d87db3ab70f61" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
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[INFO] [stderr] warning: numrs-core@0.1.19: NumRs: x86_64 detected -> using intel-mkl-src (static, automatic)
[INFO] [stderr] warning: numrs-core@0.1.19: NumRs: detectadas capacidades -> avx2=true, fma=true, mkl=true, blis=false, accelerate=false, blas_any=true, gpu=true, wasm=false, wasm_simd=false, align32=true
[INFO] [stderr] warning: numrs-core@0.1.19: NumRs: selección por defecto de métodos (prioridad):
[INFO] [stderr] warning: numrs-core@0.1.19:   SUMA:   sum_blas
[INFO] [stderr] warning: numrs-core@0.1.19:   ELEM:   elementwise_gpu
[INFO] [stderr] warning: numrs-core@0.1.19:   MATMUL: matmul_mkl
[INFO] [stdout] warning: unused import: `LossFunction`
[INFO] [stdout]   --> examples/timeseries_cnn.rs:14:31
[INFO] [stdout]    |
[INFO] [stdout] 14 | use numrs::autograd::{Linear, LossFunction, MSELoss, Module, ReLU, Tensor};
[INFO] [stdout]    |                               ^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `val` is never read
[INFO] [stdout]   --> examples/timeseries_cnn.rs:35:19
[INFO] [stdout]    |
[INFO] [stdout] 35 |     let mut val = 0.0; // Centered at 0
[INFO] [stdout]    |                   ^^^ this value is reassigned later and never used
[INFO] [stdout] ...
[INFO] [stdout] 45 |         val = (t * 0.1).sin() * 10.0;
[INFO] [stdout]    |         ---------------------------- `val` is overwritten here before the previous value is read
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `AdaptiveLookupTable`
[INFO] [stdout]  --> tests/microbench_execution.rs:2:52
[INFO] [stdout]   |
[INFO] [stdout] 2 | use numrs::backend::microbench::{benchmark_matmul, AdaptiveLookupTable, BenchConfig};
[INFO] [stdout]   |                                                    ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `ReLU` and `Sequential`
[INFO] [stdout]  --> examples/analyze_overhead.rs:1:36
[INFO] [stdout]   |
[INFO] [stdout] 1 | use numrs::{Array, Tensor, Linear, Sequential, ReLU, Module};
[INFO] [stdout]   |                                    ^^^^^^^^^^  ^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Dataset`, `MSELoss`, and `TrainerBuilder`
[INFO] [stdout]  --> examples/analyze_overhead.rs:2:13
[INFO] [stdout]   |
[INFO] [stdout] 2 | use numrs::{TrainerBuilder, Dataset, MSELoss};
[INFO] [stdout]   |             ^^^^^^^^^^^^^^  ^^^^^^^  ^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs::array::Array`
[INFO] [stdout]  --> tests/print_backend_selection.rs:1:5
[INFO] [stdout]   |
[INFO] [stdout] 1 | use numrs::array::Array;
[INFO] [stdout]   |     ^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `make_binary_graph` is never used
[INFO] [stdout]  --> tests/print_backend_selection.rs:4:4
[INFO] [stdout]   |
[INFO] [stdout] 4 | fn make_binary_graph(op: HloOp, left_shape: Vec<usize>, right_shape: Vec<usize>) -> IRGraph {
[INFO] [stdout]   |    ^^^^^^^^^^^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `backend_name` is never used
[INFO] [stdout]   --> tests/print_backend_selection.rs:12:4
[INFO] [stdout]    |
[INFO] [stdout] 12 | fn backend_name(be: &numrs::backend::SelectedBackend) -> &'static str {
[INFO] [stdout]    |    ^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Module`
[INFO] [stdout]  --> examples/end_to_end_demo.rs:9:28
[INFO] [stdout]   |
[INFO] [stdout] 9 | use numrs::{Array, Tensor, Module, Linear, Sequential, ReLU};
[INFO] [stdout]   |                            ^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `load_onnx` and `save_onnx`
[INFO] [stdout]   --> examples/end_to_end_demo.rs:11:18
[INFO] [stdout]    |
[INFO] [stdout] 11 | use numrs::ops::{save_onnx, load_onnx};
[INFO] [stdout]    |                  ^^^^^^^^^  ^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::f32::consts::PI`
[INFO] [stdout]   --> examples/timeseries_forecast_onnx.rs:17:5
[INFO] [stdout]    |
[INFO] [stdout] 17 | use std::f32::consts::PI;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `input`
[INFO] [stdout]    --> examples/end_to_end_demo.rs:113:13
[INFO] [stdout]     |
[INFO] [stdout] 113 |         let input = Tensor::new(Array::new(vec![1, 2], input_vals.clone()), false);
[INFO] [stdout]     |             ^^^^^ help: if this is intentional, prefix it with an underscore: `_input`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `example_input`
[INFO] [stdout]    --> examples/end_to_end_demo.rs:131:9
[INFO] [stdout]     |
[INFO] [stdout] 131 |     let example_input = Array::new(vec![1, 2], vec![0.5, 0.5]);
[INFO] [stdout]     |         ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_example_input`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `bar`
[INFO] [stdout]    --> examples/timeseries_forecast_onnx.rs:163:17
[INFO] [stdout]     |
[INFO] [stdout] 163 |             let bar = "█".repeat(bar_len.min(10));
[INFO] [stdout]     |                 ^^^ help: if this is intentional, prefix it with an underscore: `_bar`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `a`
[INFO] [stdout]    --> tests/backend_scalar.rs:104:9
[INFO] [stdout]     |
[INFO] [stdout] 104 |     let a = Array::new(vec![8], vec![2.0, 4.0, 4.0, 4.0, 5.0, 5.0, 7.0, 9.0]);
[INFO] [stdout]     |         ^ help: if this is intentional, prefix it with an underscore: `_a`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable does not need to be mutable
[INFO] [stdout]    --> examples/validate_models.rs:176:13
[INFO] [stdout]     |
[INFO] [stdout] 176 |         let mut model = Linear::new(1, 1)?;
[INFO] [stdout]     |             ----^^^^^
[INFO] [stdout]     |             |
[INFO] [stdout]     |             help: remove this `mut`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `learning_rate`
[INFO] [stdout]    --> examples/validate_models.rs:177:13
[INFO] [stdout]     |
[INFO] [stdout] 177 |         let learning_rate = 0.01;
[INFO] [stdout]     |             ^^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_learning_rate`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `total_loss` is assigned to, but never used
[INFO] [stdout]    --> examples/validate_models.rs:181:17
[INFO] [stdout]     |
[INFO] [stdout] 181 |             let mut total_loss = 0.0;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_total_loss` instead
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `grad`
[INFO] [stdout]    --> examples/validate_models.rs:192:21
[INFO] [stdout]     |
[INFO] [stdout] 192 |                 let grad = Tensor::new(Array::new(vec![1, 1], vec![2.0 * error]), false);
[INFO] [stdout]     |                     ^^^^ help: if this is intentional, prefix it with an underscore: `_grad`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `total_loss` is never read
[INFO] [stdout]    --> examples/validate_models.rs:189:17
[INFO] [stdout]     |
[INFO] [stdout] 189 |                 total_loss += error * error;
[INFO] [stdout]     |                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: variable `correct` is assigned to, but never used
[INFO] [stdout]    --> examples/end_to_end_onnx_complex.rs:143:9
[INFO] [stdout]     |
[INFO] [stdout] 143 |     let mut correct = 0;
[INFO] [stdout]     |         ^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: consider using `_correct` instead
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> tests/static_blas_linking.rs:42:15
[INFO] [stdout]    |
[INFO] [stdout] 42 |     #[cfg(all(feature = "mkl", any(target_arch = "x86_64", target_arch = "x86")))]
[INFO] [stdout]    |               ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `blis`
[INFO] [stdout]   --> tests/static_blas_linking.rs:52:11
[INFO] [stdout]    |
[INFO] [stdout] 52 |     #[cfg(feature = "blis")]
[INFO] [stdout]    |           ^^^^^^^^^^------
[INFO] [stdout]    |                     |
[INFO] [stdout]    |                     help: there is a expected value with a similar name: `"blas"`
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `blis` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> tests/static_blas_linking.rs:73:36
[INFO] [stdout]    |
[INFO] [stdout] 73 |     #[cfg(any(target_os = "macos", feature = "mkl", feature = "blis"))]
[INFO] [stdout]    |                                    ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `targets`
[INFO] [stdout]    --> examples/end_to_end_onnx_complex.rs:144:18
[INFO] [stdout]     |
[INFO] [stdout] 144 |     for (inputs, targets) in test_x.iter().zip(test_y.iter()).take(10) {
[INFO] [stdout]     |                  ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_targets`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `blis`
[INFO] [stdout]   --> tests/static_blas_linking.rs:73:53
[INFO] [stdout]    |
[INFO] [stdout] 73 |     #[cfg(any(target_os = "macos", feature = "mkl", feature = "blis"))]
[INFO] [stdout]    |                                                     ^^^^^^^^^^------
[INFO] [stdout]    |                                                               |
[INFO] [stdout]    |                                                               help: there is a expected value with a similar name: `"blas"`
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `blis` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: value assigned to `correct` is never read
[INFO] [stdout]    --> examples/end_to_end_onnx_complex.rs:164:9
[INFO] [stdout]     |
[INFO] [stdout] 164 |         correct += 1;
[INFO] [stdout]     |         ^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = help: maybe it is overwritten before being read?
[INFO] [stdout]     = note: `#[warn(unused_assignments)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `x_train`
[INFO] [stdout]   --> examples/temperature_model.rs:48:9
[INFO] [stdout]    |
[INFO] [stdout] 48 |     let x_train = Array::new(vec![n_samples, 1], fahrenheit_values.clone());
[INFO] [stdout]    |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_x_train`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> examples/verify_static_blas.rs:43:19
[INFO] [stdout]    |
[INFO] [stdout] 43 |         #[cfg(all(feature = "mkl", any(target_arch = "x86_64", target_arch = "x86")))]
[INFO] [stdout]    |                   ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `blis`
[INFO] [stdout]   --> examples/verify_static_blas.rs:46:15
[INFO] [stdout]    |
[INFO] [stdout] 46 |         #[cfg(feature = "blis")]
[INFO] [stdout]    |               ^^^^^^^^^^------
[INFO] [stdout]    |                         |
[INFO] [stdout]    |                         help: there is a expected value with a similar name: `"blas"`
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `blis` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Tensor`
[INFO] [stdout]  --> examples/timeseries_cnn_inference.rs:1:20
[INFO] [stdout]   |
[INFO] [stdout] 1 | use numrs::{Array, Tensor};
[INFO] [stdout]   |                    ^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array` and `Tensor`
[INFO] [stdout]   --> examples/end_to_end_onnx_create.rs:13:13
[INFO] [stdout]    |
[INFO] [stdout] 13 | use numrs::{Array, Tensor, Linear, Sequential, ReLU};
[INFO] [stdout]    |             ^^^^^  ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `OnnxAttribute` and `OnnxNode`
[INFO] [stdout]   --> examples/onnx_model_demo.rs:11:44
[INFO] [stdout]    |
[INFO] [stdout] 11 | use numrs::llo::{OnnxModel, TrainingState, OnnxNode, OnnxTensor, OnnxAttribute};
[INFO] [stdout]    |                                            ^^^^^^^^              ^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `std::collections::HashMap`
[INFO] [stdout]   --> examples/onnx_model_demo.rs:13:5
[INFO] [stdout]    |
[INFO] [stdout] 13 | use std::collections::HashMap;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> examples/matmul_perf_analysis.rs:44:11
[INFO] [stdout]    |
[INFO] [stdout] 44 |     #[cfg(feature = "mkl")]
[INFO] [stdout]    |           ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]    = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> examples/matmul_perf_analysis.rs:47:15
[INFO] [stdout]    |
[INFO] [stdout] 47 |     #[cfg(not(feature = "mkl"))]
[INFO] [stdout]    |               ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `mkl`
[INFO] [stdout]   --> examples/matmul_perf_analysis.rs:53:11
[INFO] [stdout]    |
[INFO] [stdout] 53 |     #[cfg(feature = "mkl")]
[INFO] [stdout]    |           ^^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]    = help: consider adding `mkl` as a feature in `Cargo.toml`
[INFO] [stdout]    = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `Tensor`
[INFO] [stdout]   --> examples/end_to_end_onnx_use.rs:12:20
[INFO] [stdout]    |
[INFO] [stdout] 12 | use numrs::{Array, Tensor};
[INFO] [stdout]    |                    ^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `numrs::llo::OnnxModel`
[INFO] [stdout]   --> examples/end_to_end_onnx_use.rs:14:5
[INFO] [stdout]    |
[INFO] [stdout] 14 | use numrs::llo::OnnxModel;
[INFO] [stdout]    |     ^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `w_grad`
[INFO] [stdout]    --> examples/autograd_demo.rs:107:26
[INFO] [stdout]     |
[INFO] [stdout] 107 |             if let (Some(w_grad), Some(b_grad)) = (loss.gradient(), loss.gradient()) {
[INFO] [stdout]     |                          ^^^^^^ help: if this is intentional, prefix it with an underscore: `_w_grad`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `b_grad`
[INFO] [stdout]    --> examples/autograd_demo.rs:107:40
[INFO] [stdout]     |
[INFO] [stdout] 107 |             if let (Some(w_grad), Some(b_grad)) = (loss.gradient(), loss.gradient()) {
[INFO] [stdout]     |                                        ^^^^^^ help: if this is intentional, prefix it with an underscore: `_b_grad`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `input_tensor`
[INFO] [stdout]    --> examples/end_to_end_onnx_use.rs:109:13
[INFO] [stdout]     |
[INFO] [stdout] 109 |         let input_tensor = Array::new(vec![1, 4], input_vals.clone());
[INFO] [stdout]     |             ^^^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_input_tensor`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `add`, `log`, `mean`, `mul`, `neg`, and `sub`
[INFO] [stdout]  --> examples/fraud_detection.rs:5:18
[INFO] [stdout]   |
[INFO] [stdout] 5 | use numrs::ops::{add, log, mean, mul, neg, sub};
[INFO] [stdout]   |                  ^^^  ^^^  ^^^^  ^^^  ^^^  ^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `Array`, `Module`, `Sigmoid`, and `Tensor`
[INFO] [stdout]  --> examples/training_api_demo.rs:9:13
[INFO] [stdout]   |
[INFO] [stdout] 9 | use numrs::{Array, Tensor, Module, Linear, Sequential, ReLU, Sigmoid};
[INFO] [stdout]   |             ^^^^^  ^^^^^^  ^^^^^^                            ^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused imports: `CrossEntropyLoss` and `Trainer`
[INFO] [stdout]   --> examples/training_api_demo.rs:10:13
[INFO] [stdout]    |
[INFO] [stdout] 10 | use numrs::{Trainer, TrainerBuilder, Dataset, MSELoss, CrossEntropyLoss};
[INFO] [stdout]    |             ^^^^^^^                                    ^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `AdaGrad`
[INFO] [stdout]  --> examples/optimizers_demo.rs:9:13
[INFO] [stdout]   |
[INFO] [stdout] 9 | use numrs::{AdaGrad, Adam, Array, Optimizer, RMSprop, Tensor, SGD};
[INFO] [stdout]   |             ^^^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `DType`
[INFO] [stdout]  --> examples/type_promotion_demo.rs:6:20
[INFO] [stdout]   |
[INFO] [stdout] 6 | use numrs::{Array, DType, ops};
[INFO] [stdout]   |                    ^^^^^
[INFO] [stdout]   |
[INFO] [stdout]   = note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `transposed`
[INFO] [stdout]   --> examples/ml_demo.rs:21:9
[INFO] [stdout]    |
[INFO] [stdout] 21 |     let transposed = ops::transpose(&matrix, None)?;
[INFO] [stdout]    |         ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_transposed`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `epoch`
[INFO] [stdout]   --> examples/validate_complex_model.rs:82:17
[INFO] [stdout]    |
[INFO] [stdout] 82 |             for epoch in start_epoch..target_epoch {
[INFO] [stdout]    |                 ^^^^^ help: if this is intentional, prefix it with an underscore: `_epoch`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unexpected `cfg` condition value: `__test_legacy_selection`
[INFO] [stdout]    --> tests/kernel_selection.rs:125:7
[INFO] [stdout]     |
[INFO] [stdout] 125 | #[cfg(feature = "__test_legacy_selection")]
[INFO] [stdout]     |       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[INFO] [stdout]     |
[INFO] [stdout]     = note: expected values for `feature` are: `blas`, `blas-backend`, `blis-src`, `cblas`, `default`, `disabled-blas`, `intel-mkl-src`, `native-gpu`, `parallel`, `pollster`, `rayon`, `wasm-simd`, `webgl`, `webgpu`, and `wgpu`
[INFO] [stdout]     = help: consider adding `__test_legacy_selection` as a feature in `Cargo.toml`
[INFO] [stdout]     = note: see <https://doc.rust-lang.org/nightly/rustc/check-cfg/cargo-specifics.html> for more information about checking conditional configuration
[INFO] [stdout]     = note: `#[warn(unexpected_cfgs)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function `make_tensor_3d` is never used
[INFO] [stdout]   --> benches/ops_bench.rs:19:4
[INFO] [stdout]    |
[INFO] [stdout] 19 | fn make_tensor_3d(d1: usize, d2: usize, d3: usize) -> Array {
[INFO] [stdout]    |    ^^^^^^^^^^^^^^
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(dead_code)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `h1_relu`
[INFO] [stdout]   --> examples/onnx_numrs_integration.rs:92:9
[INFO] [stdout]    |
[INFO] [stdout] 92 |     let h1_relu = h1.clone();
[INFO] [stdout]    |         ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_h1_relu`
[INFO] [stdout]    |
[INFO] [stdout]    = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `table`
[INFO] [stdout]    --> examples/onnx_numrs_integration.rs:114:9
[INFO] [stdout]     |
[INFO] [stdout] 114 |     let table = get_dispatch_table();
[INFO] [stdout]     |         ^^^^^ help: if this is intentional, prefix it with an underscore: `_table`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `z1`
[INFO] [stdout]    --> examples/onnx_numrs_integration.rs:182:13
[INFO] [stdout]     |
[INFO] [stdout] 182 |         let z1 = matmul(&train_x, &w1)?;        // MKL/BLAS
[INFO] [stdout]     |             ^^ help: if this is intentional, prefix it with an underscore: `_z1`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]    --> examples/end_to_end_onnx_complex_import.rs:101:10
[INFO] [stdout]     |
[INFO] [stdout] 101 |     for (i, (sensors, label_idx)) in test_data.iter().zip(test_labels.iter()).enumerate() {
[INFO] [stdout]     |          ^ help: if this is intentional, prefix it with an underscore: `_i`
[INFO] [stdout]     |
[INFO] [stdout]     = note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr]     Finished `dev` profile [unoptimized + debuginfo] target(s) in 59.86s
[INFO] running `Command { std: "docker" "inspect" "fdaee55ac69a5ba7564efa341a075e4b7db7cca2ffaa3ec59c86c293fd183a11", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "fdaee55ac69a5ba7564efa341a075e4b7db7cca2ffaa3ec59c86c293fd183a11", kill_on_drop: false }`
[INFO] [stdout] fdaee55ac69a5ba7564efa341a075e4b7db7cca2ffaa3ec59c86c293fd183a11
