Isomman qwen-mallin lataus
This commit is contained in:
475
docker-errors.log
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475
docker-errors.log
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@@ -0,0 +1,475 @@
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[INFO]: Checking for the Wasm target...
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info: downloading component rust-std
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[INFO]: Compiling to Wasm...
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Compiling node v0.1.0 (/app/node)
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warning: unused imports: `DType`, `Device`, and `Tensor`
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--> node/src/smollm.rs:1:19
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1 | use candle_core::{Device, Tensor, DType};
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| ^^^^^^ ^^^^^^ ^^^^^
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= note: `#[warn(unused_imports)]` (part of `#[warn(unused)]`) on by default
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warning: unused import: `candle_nn::VarBuilder`
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--> node/src/smollm.rs:2:5
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2 | use candle_nn::VarBuilder;
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| ^^^^^^^^^^^^^^^^^^^^^
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warning: unused imports: `Cache`, `LlamaConfig`, `LlamaEosToks`, and `Llama`
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--> node/src/smollm.rs:3:42
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3 | use candle_transformers::models::llama::{Llama, LlamaConfig, LlamaEosToks, Cache};
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| ^^^^^ ^^^^^^^^^^^ ^^^^^^^^^^^^ ^^^^^
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warning: unused imports: `DType`, `Device`, and `Tensor`
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--> node/src/phi3.rs:1:19
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1 | use candle_core::{Device, Tensor, DType};
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| ^^^^^^ ^^^^^^ ^^^^^
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warning: unused import: `candle_nn::VarBuilder`
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--> node/src/phi3.rs:2:5
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2 | use candle_nn::VarBuilder;
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| ^^^^^^^^^^^^^^^^^^^^^
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warning: unused imports: `Config as Phi3Config` and `Model as Phi3Model`
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--> node/src/phi3.rs:3:41
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3 | use candle_transformers::models::phi3::{Config as Phi3Config, Model as Phi3Model};
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| ^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^
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warning: unused import: `wasm_bindgen::JsCast`
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--> node/src/phi3.rs:4:5
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4 | use wasm_bindgen::JsCast;
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| ^^^^^^^^^^^^^^^^^^^^
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warning: unused import: `crate::storage`
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--> node/src/phi3.rs:9:5
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9 | use crate::storage;
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| ^^^^^^^^^^^^^^
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warning: unused import: `Int`
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--> node/src/burn_smollm/attention.rs:2:46
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2 | use burn::tensor::{backend::Backend, Tensor, Int};
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| ^^^
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warning: unused imports: `Mlp` and `RmsNorm`
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--> node/src/burn_smollm/attention.rs:4:22
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4 | use super::modules::{RmsNorm, Mlp};
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| ^^^^^^^ ^^^
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/smollm.rs:174:23
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174 | burn::tensor::Data::new(input_ids.iter().map(|&x| x as i32).collect::<Vec<_>>(), [input_len].into()),
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| ^^^^
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= note: `#[warn(deprecated)]` on by default
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/smollm.rs:200:27
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200 | burn::tensor::Data::new(vec![next_token as i32], [1].into()),
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| ^^^^
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/burn_smollm/loader.rs:1:46
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1 | use burn::tensor::{backend::Backend, Tensor, Data};
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| ^^^^
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/burn_smollm/loader.rs:17:16
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17 | let data = Data::new(vec, shape_out_in.into());
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| ^^^^
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/burn_smollm/loader.rs:32:16
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32 | let data = Data::new(vec, shape.into());
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| ^^^^
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warning: use of deprecated struct `burn::tensor::Data`: the internal data format has changed, please use `TensorData` instead
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--> node/src/burn_smollm/loader.rs:45:16
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45 | let data = Data::new(vec, shape.into());
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| ^^^^
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error[E0061]: this function takes 2 arguments but 1 argument was supplied
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--> node/src/smollm.rs:124:9
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124 | burn_wgpu::init_async::<burn_wgpu::AutoGraphicsApi>(&Default::default()).await;
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^--------------------- argument #2 of type `RuntimeOptions` is missing
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note: function defined here
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--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/cubecl-wgpu-0.2.0/src/runtime.rs:116:14
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116 | pub async fn init_async<G: GraphicsApi>(device: &WgpuDevice, options: RuntimeOptions) {
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| ^^^^^^^^^^
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help: provide the argument
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124 | burn_wgpu::init_async::<burn_wgpu::AutoGraphicsApi>(&Default::default(), /* RuntimeOptions */).await;
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| ++++++++++++++++++++++
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error[E0277]: the trait bound `TensorData: From<burn::tensor::Data<i32, 1>>` is not satisfied
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--> node/src/smollm.rs:174:9
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173 | let mut input_tensor = burn::tensor::Tensor::<B, 1, burn::tensor::Int>::from_data(
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| ---------------------------------------------------------- required by a bound introduced by this call
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174 | burn::tensor::Data::new(input_ids.iter().map(|&x| x as i32).collect::<Vec<_>>(), [input_len].into()),
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the trait `From<burn::tensor::Data<i32, 1>>` is not implemented for `TensorData`
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= help: the following other types implement trait `From<T>`:
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`TensorData` implements `From<&[E]>`
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`TensorData` implements `From<&[usize]>`
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`TensorData` implements `From<[E; A]>`
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`TensorData` implements `From<[[E; B]; A]>`
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`TensorData` implements `From<[[[E; C]; B]; A]>`
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`TensorData` implements `From<[[[[E; D]; C]; B]; A]>`
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`TensorData` implements `From<[[[[[Elem; E]; D]; C]; B]; A]>`
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`TensorData` implements `From<[usize; A]>`
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= note: required for `burn::tensor::Data<i32, 1>` to implement `Into<TensorData>`
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note: required by a bound in `burn::tensor::Tensor::<B, D, K>::from_data`
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--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:719:12
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717 | pub fn from_data<T>(data: T, device: &B::Device) -> Self
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| --------- required by a bound in this associated function
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718 | where
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719 | T: Into<TensorData>,
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| ^^^^^^^^^^^^^^^^ required by this bound in `Tensor::<B, D, K>::from_data`
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error[E0061]: this method takes 2 arguments but 0 arguments were supplied
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--> node/src/smollm.rs:183:51
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183 | let next_token_tensor = last_logits.argmax(2).flatten::<1>();
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| ^^^^^^^^^^^^-- two arguments of type `usize` and `usize` are missing
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note: method defined here
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--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:292:12
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292 | pub fn flatten<const D2: usize>(self, start_dim: usize, end_dim: usize) -> Tensor<B, D2, K> {
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| ^^^^^^^
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help: provide the arguments
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183 | let next_token_tensor = last_logits.argmax(2).flatten::<1>(/* usize */, /* usize */);
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| ++++++++++++++++++++++++
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error[E0277]: the trait bound `TensorData: From<burn::tensor::Data<i32, 1>>` is not satisfied
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--> node/src/smollm.rs:200:13
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199 | let mut input_tensor = burn::tensor::Tensor::<B, 1, burn::tensor::Int>::from_data(
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| ---------------------------------------------------------- required by a bound introduced by this call
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200 | burn::tensor::Data::new(vec![next_token as i32], [1].into()),
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ the trait `From<burn::tensor::Data<i32, 1>>` is not implemented for `TensorData`
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= help: the following other types implement trait `From<T>`:
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`TensorData` implements `From<&[E]>`
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`TensorData` implements `From<&[usize]>`
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`TensorData` implements `From<[E; A]>`
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`TensorData` implements `From<[[E; B]; A]>`
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`TensorData` implements `From<[[[E; C]; B]; A]>`
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`TensorData` implements `From<[[[[E; D]; C]; B]; A]>`
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`TensorData` implements `From<[[[[[Elem; E]; D]; C]; B]; A]>`
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`TensorData` implements `From<[usize; A]>`
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= note: required for `burn::tensor::Data<i32, 1>` to implement `Into<TensorData>`
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note: required by a bound in `burn::tensor::Tensor::<B, D, K>::from_data`
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--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:719:12
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717 | pub fn from_data<T>(data: T, device: &B::Device) -> Self
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| --------- required by a bound in this associated function
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718 | where
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719 | T: Into<TensorData>,
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| ^^^^^^^^^^^^^^^^ required by this bound in `Tensor::<B, D, K>::from_data`
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error[E0061]: this method takes 2 arguments but 0 arguments were supplied
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--> node/src/smollm.rs:207:50
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207 | let next_token_tensor = logits.argmax(2).flatten::<1>();
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| ^^^^^^^^^^^^-- two arguments of type `usize` and `usize` are missing
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note: method defined here
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--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:292:12
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292 | pub fn flatten<const D2: usize>(self, start_dim: usize, end_dim: usize) -> Tensor<B, D2, K> {
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| ^^^^^^^
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help: provide the arguments
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207 | let next_token_tensor = logits.argmax(2).flatten::<1>(/* usize */, /* usize */);
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| ++++++++++++++++++++++++
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error[E0308]: mismatched types
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--> node/src/burn_smollm/attention.rs:58:13
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58 | q = q.reshape([batch, seq_len, self.num_heads, self.head_dim]).swap_dims(1, 2);
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `3`, found `4`
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= note: expected struct `burn::tensor::Tensor<_, 3>`
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found struct `burn::tensor::Tensor<_, 4>`
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error[E0308]: mismatched types
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--> node/src/burn_smollm/attention.rs:59:13
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59 | k = k.reshape([batch, seq_len, self.num_kv_heads, self.head_dim]).swap_dims(1, 2);
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `3`, found `4`
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|
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= note: expected struct `burn::tensor::Tensor<_, 3>`
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found struct `burn::tensor::Tensor<_, 4>`
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error[E0308]: mismatched types
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--> node/src/burn_smollm/attention.rs:60:13
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60 | v = v.reshape([batch, seq_len, self.num_kv_heads, self.head_dim]).swap_dims(1, 2);
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| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `3`, found `4`
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||||||
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|
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||||||
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= note: expected struct `burn::tensor::Tensor<_, 3>`
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||||||
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found struct `burn::tensor::Tensor<_, 4>`
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||||||
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error[E0308]: mismatched types
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||||||
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--> node/src/burn_smollm/attention.rs:63:31
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|
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63 | q = self.rope.forward(q, offset);
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| ------- ^ expected `4`, found `3`
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||||||
|
| |
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||||||
|
| arguments to this method are incorrect
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||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 4>`
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||||||
|
found struct `burn::tensor::Tensor<_, 3>`
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||||||
|
note: method defined here
|
||||||
|
--> node/src/burn_smollm/rope.rs:35:12
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||||||
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|
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35 | pub fn forward(&self, x: Tensor<B, 4>, offset: usize) -> Tensor<B, 4> {
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||||||
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| ^^^^^^^ ---------------
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||||||
|
|
||||||
|
error[E0308]: mismatched types
|
||||||
|
--> node/src/burn_smollm/attention.rs:63:13
|
||||||
|
|
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||||||
|
63 | q = self.rope.forward(q, offset);
|
||||||
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `3`, found `4`
|
||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 3>`
|
||||||
|
found struct `burn::tensor::Tensor<_, 4>`
|
||||||
|
|
||||||
|
error[E0308]: mismatched types
|
||||||
|
--> node/src/burn_smollm/attention.rs:64:31
|
||||||
|
|
|
||||||
|
64 | k = self.rope.forward(k, offset);
|
||||||
|
| ------- ^ expected `4`, found `3`
|
||||||
|
| |
|
||||||
|
| arguments to this method are incorrect
|
||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 4>`
|
||||||
|
found struct `burn::tensor::Tensor<_, 3>`
|
||||||
|
note: method defined here
|
||||||
|
--> node/src/burn_smollm/rope.rs:35:12
|
||||||
|
|
|
||||||
|
35 | pub fn forward(&self, x: Tensor<B, 4>, offset: usize) -> Tensor<B, 4> {
|
||||||
|
| ^^^^^^^ ---------------
|
||||||
|
|
||||||
|
error[E0308]: mismatched types
|
||||||
|
--> node/src/burn_smollm/attention.rs:64:13
|
||||||
|
|
|
||||||
|
64 | k = self.rope.forward(k, offset);
|
||||||
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ expected `3`, found `4`
|
||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 3>`
|
||||||
|
found struct `burn::tensor::Tensor<_, 4>`
|
||||||
|
|
||||||
|
error[E0308]: mismatched types
|
||||||
|
--> node/src/burn_smollm/attention.rs:68:41
|
||||||
|
|
|
||||||
|
68 | c.k = Tensor::cat(vec![c.k, k], 2);
|
||||||
|
| ^ expected `4`, found `3`
|
||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 4>`
|
||||||
|
found struct `burn::tensor::Tensor<_, 3>`
|
||||||
|
|
||||||
|
error[E0308]: mismatched types
|
||||||
|
--> node/src/burn_smollm/attention.rs:69:41
|
||||||
|
|
|
||||||
|
69 | c.v = Tensor::cat(vec![c.v, v], 2);
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||||||
|
| ^ expected `4`, found `3`
|
||||||
|
|
|
||||||
|
= note: expected struct `burn::tensor::Tensor<_, 4>`
|
||||||
|
found struct `burn::tensor::Tensor<_, 3>`
|
||||||
|
|
||||||
|
error[E0308]: `if` and `else` have incompatible types
|
||||||
|
--> node/src/burn_smollm/attention.rs:72:13
|
||||||
|
|
|
||||||
|
67 | let (k, v) = if let Some(mut c) = cache {
|
||||||
|
| ______________________-
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||||||
|
68 | | c.k = Tensor::cat(vec![c.k, k], 2);
|
||||||
|
69 | | c.v = Tensor::cat(vec![c.v, v], 2);
|
||||||
|
70 | | (c.k.clone(), c.v.clone())
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||||||
|
| | -------------------------- expected because of this
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||||||
|
71 | | } else {
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||||||
|
72 | | (k.clone(), v.clone())
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||||||
|
| | ^^^^^^^^^^^^^^^^^^^^^^ expected `4`, found `3`
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||||||
|
73 | | };
|
||||||
|
| |_________- `if` and `else` have incompatible types
|
||||||
|
|
|
||||||
|
= note: expected tuple `(burn::tensor::Tensor<_, 4>, burn::tensor::Tensor<_, 4>)`
|
||||||
|
found tuple `(burn::tensor::Tensor<_, 3>, burn::tensor::Tensor<_, 3>)`
|
||||||
|
|
||||||
|
error[E0282]: type annotations needed
|
||||||
|
--> node/src/burn_smollm/attention.rs:75:38
|
||||||
|
|
|
||||||
|
75 | let new_cache = KVCache { k: k.clone(), v: v.clone() };
|
||||||
|
| ^ cannot infer type
|
||||||
|
|
||||||
|
error[E0282]: type annotations needed
|
||||||
|
--> node/src/burn_smollm/attention.rs:75:52
|
||||||
|
|
|
||||||
|
75 | let new_cache = KVCache { k: k.clone(), v: v.clone() };
|
||||||
|
| ^ cannot infer type
|
||||||
|
|
||||||
|
error[E0277]: the trait bound `TensorData: From<burn::tensor::Data<f32, 2>>` is not satisfied
|
||||||
|
--> node/src/burn_smollm/loader.rs:18:44
|
||||||
|
|
|
||||||
|
18 | let t_burn = Tensor::<B, 2>::from_data(data, device);
|
||||||
|
| ------------------------- ^^^^ the trait `From<burn::tensor::Data<f32, 2>>` is not implemented for `TensorData`
|
||||||
|
| |
|
||||||
|
| required by a bound introduced by this call
|
||||||
|
|
|
||||||
|
= help: the following other types implement trait `From<T>`:
|
||||||
|
`TensorData` implements `From<&[E]>`
|
||||||
|
`TensorData` implements `From<&[usize]>`
|
||||||
|
`TensorData` implements `From<[E; A]>`
|
||||||
|
`TensorData` implements `From<[[E; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[E; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[E; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[[Elem; E]; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[usize; A]>`
|
||||||
|
= note: required for `burn::tensor::Data<f32, 2>` to implement `Into<TensorData>`
|
||||||
|
note: required by a bound in `burn::tensor::Tensor::<B, D, K>::from_data`
|
||||||
|
--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:719:12
|
||||||
|
|
|
||||||
|
717 | pub fn from_data<T>(data: T, device: &B::Device) -> Self
|
||||||
|
| --------- required by a bound in this associated function
|
||||||
|
718 | where
|
||||||
|
719 | T: Into<TensorData>,
|
||||||
|
| ^^^^^^^^^^^^^^^^ required by this bound in `Tensor::<B, D, K>::from_data`
|
||||||
|
|
||||||
|
error[E0277]: the trait bound `TensorData: From<burn::tensor::Data<f32, 1>>` is not satisfied
|
||||||
|
--> node/src/burn_smollm/loader.rs:33:53
|
||||||
|
|
|
||||||
|
33 | Ok(Param::from_tensor(Tensor::<B, 1>::from_data(data, device)))
|
||||||
|
| ------------------------- ^^^^ the trait `From<burn::tensor::Data<f32, 1>>` is not implemented for `TensorData`
|
||||||
|
| |
|
||||||
|
| required by a bound introduced by this call
|
||||||
|
|
|
||||||
|
= help: the following other types implement trait `From<T>`:
|
||||||
|
`TensorData` implements `From<&[E]>`
|
||||||
|
`TensorData` implements `From<&[usize]>`
|
||||||
|
`TensorData` implements `From<[E; A]>`
|
||||||
|
`TensorData` implements `From<[[E; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[E; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[E; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[[Elem; E]; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[usize; A]>`
|
||||||
|
= note: required for `burn::tensor::Data<f32, 1>` to implement `Into<TensorData>`
|
||||||
|
note: required by a bound in `burn::tensor::Tensor::<B, D, K>::from_data`
|
||||||
|
--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:719:12
|
||||||
|
|
|
||||||
|
717 | pub fn from_data<T>(data: T, device: &B::Device) -> Self
|
||||||
|
| --------- required by a bound in this associated function
|
||||||
|
718 | where
|
||||||
|
719 | T: Into<TensorData>,
|
||||||
|
| ^^^^^^^^^^^^^^^^ required by this bound in `Tensor::<B, D, K>::from_data`
|
||||||
|
|
||||||
|
error[E0277]: the trait bound `TensorData: From<burn::tensor::Data<f32, 2>>` is not satisfied
|
||||||
|
--> node/src/burn_smollm/loader.rs:47:53
|
||||||
|
|
|
||||||
|
47 | Ok(Param::from_tensor(Tensor::<B, 2>::from_data(data, device)))
|
||||||
|
| ------------------------- ^^^^ the trait `From<burn::tensor::Data<f32, 2>>` is not implemented for `TensorData`
|
||||||
|
| |
|
||||||
|
| required by a bound introduced by this call
|
||||||
|
|
|
||||||
|
= help: the following other types implement trait `From<T>`:
|
||||||
|
`TensorData` implements `From<&[E]>`
|
||||||
|
`TensorData` implements `From<&[usize]>`
|
||||||
|
`TensorData` implements `From<[E; A]>`
|
||||||
|
`TensorData` implements `From<[[E; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[E; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[E; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[[[[[Elem; E]; D]; C]; B]; A]>`
|
||||||
|
`TensorData` implements `From<[usize; A]>`
|
||||||
|
= note: required for `burn::tensor::Data<f32, 2>` to implement `Into<TensorData>`
|
||||||
|
note: required by a bound in `burn::tensor::Tensor::<B, D, K>::from_data`
|
||||||
|
--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:719:12
|
||||||
|
|
|
||||||
|
717 | pub fn from_data<T>(data: T, device: &B::Device) -> Self
|
||||||
|
| --------- required by a bound in this associated function
|
||||||
|
718 | where
|
||||||
|
719 | T: Into<TensorData>,
|
||||||
|
| ^^^^^^^^^^^^^^^^ required by this bound in `Tensor::<B, D, K>::from_data`
|
||||||
|
|
||||||
|
error[E0599]: no function or associated item named `arange` found for struct `burn::tensor::Tensor<B, 1>` in the current scope
|
||||||
|
--> node/src/burn_smollm/rope.rs:19:33
|
||||||
|
|
|
||||||
|
19 | let t = Tensor::<B, 1>::arange(0..max_seq_len as i64, device).float().unsqueeze::<2>().transpose();
|
||||||
|
| ^^^^^^ function or associated item not found in `burn::tensor::Tensor<B, 1>`
|
||||||
|
|
|
||||||
|
note: if you're trying to build a new `burn::tensor::Tensor<B, 1>` consider using one of the following associated functions:
|
||||||
|
burn::tensor::Tensor::<B, D, K>::new
|
||||||
|
burn::tensor::Tensor::<B, D, K>::from_primitive
|
||||||
|
burn::tensor::Tensor::<B, D, K>::empty
|
||||||
|
burn::tensor::Tensor::<B, D, K>::from_data
|
||||||
|
and 9 others
|
||||||
|
--> /usr/local/cargo/registry/src/index.crates.io-1949cf8c6b5b557f/burn-tensor-0.14.0/src/tensor/api/base.rs:24:10
|
||||||
|
|
|
||||||
|
24 | #[derive(new, Clone, Debug)]
|
||||||
|
| ^^^
|
||||||
|
...
|
||||||
|
55 | pub fn from_primitive(tensor: K::Primitive<D>) -> Self {
|
||||||
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||||
|
...
|
||||||
|
60 | pub fn empty<S: Into<Shape<D>>>(shape: S, device: &B::Device) -> Self {
|
||||||
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||||
|
...
|
||||||
|
717 | / pub fn from_data<T>(data: T, device: &B::Device) -> Self
|
||||||
|
718 | | where
|
||||||
|
719 | | T: Into<TensorData>,
|
||||||
|
| |____________________________^
|
||||||
|
= note: the function or associated item was found for
|
||||||
|
- `burn::tensor::Tensor<B, 1, burn::tensor::Int>`
|
||||||
|
= note: this error originates in the derive macro `new` (in Nightly builds, run with -Z macro-backtrace for more info)
|
||||||
|
|
||||||
|
warning: variable does not need to be mutable
|
||||||
|
--> node/src/burn_smollm/loader.rs:70:13
|
||||||
|
|
|
||||||
|
70 | let mut layer = &mut model.layers[i];
|
||||||
|
| ----^^^^^
|
||||||
|
| |
|
||||||
|
| help: remove this `mut`
|
||||||
|
|
|
||||||
|
= note: `#[warn(unused_mut)]` (part of `#[warn(unused)]`) on by default
|
||||||
|
|
||||||
|
warning: unused variable: `batch`
|
||||||
|
--> node/src/burn_smollm/model.rs:79:14
|
||||||
|
|
|
||||||
|
79 | let [batch, seq_len] = input_ids.dims();
|
||||||
|
| ^^^^^ help: if this is intentional, prefix it with an underscore: `_batch`
|
||||||
|
|
|
||||||
|
= note: `#[warn(unused_variables)]` (part of `#[warn(unused)]`) on by default
|
||||||
|
|
||||||
|
warning: unused variable: `seq_len`
|
||||||
|
--> node/src/burn_smollm/model.rs:79:21
|
||||||
|
|
|
||||||
|
79 | let [batch, seq_len] = input_ids.dims();
|
||||||
|
| ^^^^^^^ help: if this is intentional, prefix it with an underscore: `_seq_len`
|
||||||
|
|
||||||
|
Some errors have detailed explanations: E0061, E0277, E0282, E0308, E0599.
|
||||||
|
For more information about an error, try `rustc --explain E0061`.
|
||||||
|
warning: `node` (lib) generated 19 warnings
|
||||||
|
error: could not compile `node` (lib) due to 21 previous errors; 19 warnings emitted
|
||||||
|
Error: Compiling your crate to WebAssembly failed
|
||||||
|
Caused by: Compiling your crate to WebAssembly failed
|
||||||
|
Caused by: failed to execute `cargo build`: exited with exit status: 101
|
||||||
|
full command: cd "/app/node" && "cargo" "build" "--lib" "--release" "--target" "wasm32-unknown-unknown"
|
||||||
@@ -2552,7 +2552,7 @@ Write the corrected code.`;
|
|||||||
uiSocket.onmessage = (event) => {
|
uiSocket.onmessage = (event) => {
|
||||||
try {
|
try {
|
||||||
const raw = event.data;
|
const raw = event.data;
|
||||||
if (raw.includes('"single_tokenize"') || raw.includes('"download_progress"')) return;
|
if (raw.includes('"single_tokenize"')) return;
|
||||||
|
|
||||||
const data = JSON.parse(raw);
|
const data = JSON.parse(raw);
|
||||||
if (data.type === "stats") {
|
if (data.type === "stats") {
|
||||||
@@ -2577,6 +2577,24 @@ Write the corrected code.`;
|
|||||||
} else {
|
} else {
|
||||||
dlBar.style.display = 'none';
|
dlBar.style.display = 'none';
|
||||||
}
|
}
|
||||||
|
// Terminaaliin latauksen edistyminen
|
||||||
|
const term = document.getElementById('agent-terminal');
|
||||||
|
if (term) {
|
||||||
|
let dlLine = term.querySelector('.term-download');
|
||||||
|
if (data.pct >= 100) {
|
||||||
|
if (dlLine) dlLine.remove();
|
||||||
|
termLog(` <span style="color:#3fb950">✓</span> ${data.file} ladattu`, '#a5d6ff');
|
||||||
|
} else {
|
||||||
|
if (!dlLine) {
|
||||||
|
dlLine = document.createElement('div');
|
||||||
|
dlLine.className = 'terminal-line term-download';
|
||||||
|
term.appendChild(dlLine);
|
||||||
|
}
|
||||||
|
const bar = '█'.repeat(Math.floor(data.pct / 5)) + '░'.repeat(20 - Math.floor(data.pct / 5));
|
||||||
|
dlLine.innerHTML = ` <span style="color:#d29922">${data.file}</span> <span style="color:#8b949e">${bar}</span> <span style="color:#58a6ff">${data.pct}%</span> <span style="color:#8b949e">${data.loaded_mb}/${data.total_mb} MB</span>`;
|
||||||
|
term.scrollTop = term.scrollHeight;
|
||||||
|
}
|
||||||
|
}
|
||||||
} else if (data.type === "single_tokenize_done") {
|
} else if (data.type === "single_tokenize_done") {
|
||||||
chatBox.classList.remove('hidden');
|
chatBox.classList.remove('hidden');
|
||||||
const r = data.result || {};
|
const r = data.result || {};
|
||||||
@@ -3160,6 +3178,12 @@ Write the corrected code.`;
|
|||||||
if (cl) { cl.textContent = 'Qwen2.5-Coder:' + (coderSize === '3b' ? '3B' : '0.5B'); cl.style.color = '#3fb950'; cl.title = sizeLabel + ' · Candle Wasm · CPU · max 512 tok'; }
|
if (cl) { cl.textContent = 'Qwen2.5-Coder:' + (coderSize === '3b' ? '3B' : '0.5B'); cl.style.color = '#3fb950'; cl.title = sizeLabel + ' · Candle Wasm · CPU · max 512 tok'; }
|
||||||
if (btn) { btn.dataset.state = 'ready'; btn.textContent = '✓ Valmis'; btn.style.borderColor = '#3fb950'; btn.style.color = '#3fb950'; btn.style.cursor = 'default'; btn.title = 'Kielimalli ladattu — oma kone on valmis laskentaan'; }
|
if (btn) { btn.dataset.state = 'ready'; btn.textContent = '✓ Valmis'; btn.style.borderColor = '#3fb950'; btn.style.color = '#3fb950'; btn.style.cursor = 'default'; btn.title = 'Kielimalli ladattu — oma kone on valmis laskentaan'; }
|
||||||
localStorage.setItem('kpn-coder-loaded', 'true');
|
localStorage.setItem('kpn-coder-loaded', 'true');
|
||||||
|
// Terminaaliin valmis-viesti
|
||||||
|
const term = document.getElementById('agent-terminal');
|
||||||
|
if (term) {
|
||||||
|
const sLabel = coderSize === '3b' ? 'Qwen2.5-Coder:3B' : 'Qwen2.5-Coder:0.5B';
|
||||||
|
termLog(` <span style="color:#3fb950">✓</span> ${sLabel} valmis — kpn run coder "prompti"`, '#3fb950');
|
||||||
|
}
|
||||||
}
|
}
|
||||||
if (msg.includes('[Coder]') && msg.includes('Syöte:')) {
|
if (msg.includes('[Coder]') && msg.includes('Syöte:')) {
|
||||||
// Pipeline piiloon kun generointi alkaa
|
// Pipeline piiloon kun generointi alkaa
|
||||||
|
|||||||
Reference in New Issue
Block a user