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[INFO] checking evisdrenova/gpt-rs against try#5f6abd89da253a562ad85d235b9342a3ac336c28 for pr-156114
[INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fevisdrenova%2Fgpt-rs" "/workspace/builds/worker-1-tc2/source", kill_on_drop: false }`
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[INFO] [stderr]     Checking gpt_rs v0.1.0 (/opt/rustwide/workdir)
[INFO] [stdout] error: unexpected token: `/`
[INFO] [stdout]   --> src/optimizers.rs:81:32
[INFO] [stdout]    |
[INFO] [stdout] 81 |             let v_hat = (&v_t. / bc2)?;
[INFO] [stdout]    |                                ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: unexpected token: `/`
[INFO] [stdout]   --> src/optimizers.rs:81:32
[INFO] [stdout]    |
[INFO] [stdout] 81 |             let v_hat = (&v_t. / bc2)?;
[INFO] [stdout]    |                                ^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::rng`
[INFO] [stdout]  --> src/layers/linear.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::rng;
[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: `Device` and `pickle::PthTensors`
[INFO] [stdout]  --> src/losses.rs:1:19
[INFO] [stdout]   |
[INFO] [stdout] 1 | use candle_core::{Device, Error, Tensor, pickle::PthTensors};
[INFO] [stdout]   |                   ^^^^^^                 ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `gpt::GPT`
[INFO] [stdout]  --> src/losses.rs:3:39
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::{activations::Activations, gpt::GPT};
[INFO] [stdout]   |                                       ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `cmp::min_by`
[INFO] [stdout]  --> src/utils.rs:2:11
[INFO] [stdout]   |
[INFO] [stdout] 2 | use std::{cmp::min_by, f32};
[INFO] [stdout]   |           ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `DataLoaderIterator`
[INFO] [stdout]  --> src/utils.rs:6:35
[INFO] [stdout]   |
[INFO] [stdout] 6 |     file_operations::{DataLoader, DataLoaderIterator},
[INFO] [stdout]   |                                   ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `crate::rng`
[INFO] [stdout]  --> src/layers/linear.rs:4:5
[INFO] [stdout]   |
[INFO] [stdout] 4 | use crate::rng;
[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: `Device` and `pickle::PthTensors`
[INFO] [stdout]  --> src/losses.rs:1:19
[INFO] [stdout]   |
[INFO] [stdout] 1 | use candle_core::{Device, Error, Tensor, pickle::PthTensors};
[INFO] [stdout]   |                   ^^^^^^                 ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `gpt::GPT`
[INFO] [stdout]  --> src/losses.rs:3:39
[INFO] [stdout]   |
[INFO] [stdout] 3 | use crate::{activations::Activations, gpt::GPT};
[INFO] [stdout]   |                                       ^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `cmp::min_by`
[INFO] [stdout]  --> src/utils.rs:2:11
[INFO] [stdout]   |
[INFO] [stdout] 2 | use std::{cmp::min_by, f32};
[INFO] [stdout]   |           ^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused import: `DataLoaderIterator`
[INFO] [stdout]  --> src/utils.rs:6:35
[INFO] [stdout]   |
[INFO] [stdout] 6 |     file_operations::{DataLoader, DataLoaderIterator},
[INFO] [stdout]   |                                   ^^^^^^^^^^^^^^^^^^
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `grad` found for mutable reference `&mut &mut candle_core::Tensor` in the current scope
[INFO] [stdout]   --> src/optimizers.rs:51:36
[INFO] [stdout]    |
[INFO] [stdout] 51 |             let Some(grad) = param.grad()? else { continue };
[INFO] [stdout]    |                                    ^^^^ method not found in `&mut &mut candle_core::Tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:73:32
[INFO] [stdout]    |
[INFO] [stdout] 73 |             let m_t = (&m_prev * self.beta1)? + (&grad * (1.0 - self.beta1))?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Mul<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:75:32
[INFO] [stdout]    |
[INFO] [stdout] 75 |             let v_t = (&v_prev * self.beta2)? + (&g2 * (1.0 - self.beta2))?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Mul<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:81:32
[INFO] [stdout]    |
[INFO] [stdout] 81 |             let v_hat = (&v_t. / bc2)?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Div<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0369]: cannot multiply `&mut &mut candle_core::Tensor` by `f32`
[INFO] [stdout]    --> src/optimizers.rs:100:24
[INFO] [stdout]     |
[INFO] [stdout] 100 |                 (param * (1.0 - self.learning_rate * self.weight_decay))?
[INFO] [stdout]     |                  ----- ^ ---------------------------------------------- f32
[INFO] [stdout]     |                  |
[INFO] [stdout]     |                  &mut &mut candle_core::Tensor
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]    --> src/optimizers.rs:108:45
[INFO] [stdout]     |
[INFO] [stdout] 108 |             let denom = (v_hat_corr.sqrt()? + self.epsilon)?;
[INFO] [stdout]     |                                             ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]     |
[INFO] [stdout]     = note: required for `candle_core::Tensor` to implement `std::ops::Add<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0599]: no method named `grad` found for mutable reference `&mut &mut candle_core::Tensor` in the current scope
[INFO] [stdout]   --> src/optimizers.rs:51:36
[INFO] [stdout]    |
[INFO] [stdout] 51 |             let Some(grad) = param.grad()? else { continue };
[INFO] [stdout]    |                                    ^^^^ method not found in `&mut &mut candle_core::Tensor`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:73:32
[INFO] [stdout]    |
[INFO] [stdout] 73 |             let m_t = (&m_prev * self.beta1)? + (&grad * (1.0 - self.beta1))?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Mul<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:75:32
[INFO] [stdout]    |
[INFO] [stdout] 75 |             let v_t = (&v_prev * self.beta2)? + (&g2 * (1.0 - self.beta2))?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Mul<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]   --> src/optimizers.rs:81:32
[INFO] [stdout]    |
[INFO] [stdout] 81 |             let v_hat = (&v_t. / bc2)?;
[INFO] [stdout]    |                                ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]    |
[INFO] [stdout]    = note: required for `&candle_core::Tensor` to implement `std::ops::Div<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0369]: cannot multiply `&mut &mut candle_core::Tensor` by `f32`
[INFO] [stdout]    --> src/optimizers.rs:100:24
[INFO] [stdout]     |
[INFO] [stdout] 100 |                 (param * (1.0 - self.learning_rate * self.weight_decay))?
[INFO] [stdout]     |                  ----- ^ ---------------------------------------------- f32
[INFO] [stdout]     |                  |
[INFO] [stdout]     |                  &mut &mut candle_core::Tensor
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error[E0277]: the trait bound `f32: Borrow<candle_core::Tensor>` is not satisfied
[INFO] [stdout]    --> src/optimizers.rs:108:45
[INFO] [stdout]     |
[INFO] [stdout] 108 |             let denom = (v_hat_corr.sqrt()? + self.epsilon)?;
[INFO] [stdout]     |                                             ^ the trait `Borrow<candle_core::Tensor>` is not implemented for `f32`
[INFO] [stdout]     |
[INFO] [stdout]     = note: required for `candle_core::Tensor` to implement `std::ops::Add<f32>`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]   --> src/gpt.rs:43:19
[INFO] [stdout]    |
[INFO] [stdout] 43 |             .map(|i| {
[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] [stdout] warning: unused variable: `batch_size`
[INFO] [stdout]   --> src/gpt.rs:69:13
[INFO] [stdout]    |
[INFO] [stdout] 69 |         let batch_size = in_idx.dim(0)?;
[INFO] [stdout]    |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `i`
[INFO] [stdout]   --> src/gpt.rs:43:19
[INFO] [stdout]    |
[INFO] [stdout] 43 |             .map(|i| {
[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] [stdout] warning: unused variable: `batch_size`
[INFO] [stdout]   --> src/gpt.rs:69:13
[INFO] [stdout]    |
[INFO] [stdout] 69 |         let batch_size = in_idx.dim(0)?;
[INFO] [stdout]    |             ^^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_batch_size`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function cannot return without recursing
[INFO] [stdout]    --> src/module_list.rs:120:5
[INFO] [stdout]     |
[INFO] [stdout] 120 |     fn forward(&self, input: &Tensor) -> Result<Tensor, Error> {
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing
[INFO] [stdout] 121 |         // Your existing Linear forward implementation
[INFO] [stdout] 122 |         self.forward(input)
[INFO] [stdout]     |         ------------------- recursive call site
[INFO] [stdout]     |
[INFO] [stdout]     = help: a `loop` may express intention better if this is on purpose
[INFO] [stdout]     = note: `#[warn(unconditional_recursion)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: function cannot return without recursing
[INFO] [stdout]    --> src/module_list.rs:120:5
[INFO] [stdout]     |
[INFO] [stdout] 120 |     fn forward(&self, input: &Tensor) -> Result<Tensor, Error> {
[INFO] [stdout]     |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ cannot return without recursing
[INFO] [stdout] 121 |         // Your existing Linear forward implementation
[INFO] [stdout] 122 |         self.forward(input)
[INFO] [stdout]     |         ------------------- recursive call site
[INFO] [stdout]     |
[INFO] [stdout]     = help: a `loop` may express intention better if this is on purpose
[INFO] [stdout]     = note: `#[warn(unconditional_recursion)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `device`
[INFO] [stdout]    --> src/utils.rs:294:5
[INFO] [stdout]     |
[INFO] [stdout] 294 |     device: &Device,
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_device`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] warning: unused variable: `device`
[INFO] [stdout]    --> src/utils.rs:294:5
[INFO] [stdout]     |
[INFO] [stdout] 294 |     device: &Device,
[INFO] [stdout]     |     ^^^^^^ help: if this is intentional, prefix it with an underscore: `_device`
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0277, E0369, E0599.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0277`.
[INFO] [stdout] 
[INFO] [stdout] Some errors have detailed explanations: E0277, E0369, E0599.
[INFO] [stdout] 
[INFO] [stdout] For more information about an error, try `rustc --explain E0277`.
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `gpt_rs` (lib test) due to 7 previous errors; 9 warnings emitted
[INFO] [stderr] warning: build failed, waiting for other jobs to finish...
[INFO] [stderr] error: could not compile `gpt_rs` (lib) due to 7 previous errors; 9 warnings emitted
[INFO] running `Command { std: "docker" "inspect" "1387f2b64427827f7bd7eb0079da88e1b854dacf6d03cb58d2aaf43646b21352", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "1387f2b64427827f7bd7eb0079da88e1b854dacf6d03cb58d2aaf43646b21352", kill_on_drop: false }`
[INFO] [stdout] 1387f2b64427827f7bd7eb0079da88e1b854dacf6d03cb58d2aaf43646b21352
