jhqxxx
98 lines
3.3 KiB
Rust
98 lines
3.3 KiB
Rust
use std::time::Instant;
|
|
|
|
use anyhow::Result;
|
|
use candle_core::{DType, Device};
|
|
use openai_dive::v1::resources::chat::ChatCompletionParameters;
|
|
|
|
#[test]
|
|
fn qwen2_5vl_generate() -> Result<()> {
|
|
// test with cpu :(太慢了, : RUST_BACKTRACE=1 cargo test qwen2_5vl_generate -- --nocapture
|
|
// test with cuda: RUST_BACKTRACE=1 cargo test -F cuda qwen2_5vl_generate -- --nocapture
|
|
// test with cuda+flash-attn: RUST_BACKTRACE=1 cargo test -F cuda,flash-attn qwen2_5vl_generate -- --nocapture
|
|
let device = Device::cuda_if_available(0)?;
|
|
let dtype = DType::BF16;
|
|
|
|
let model_path = "/home/jhq/huggingface_model/OpenBMB/MiniCPM4-0.5B/";
|
|
|
|
let message = r#"
|
|
{
|
|
"model": "minicpm4",
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{
|
|
"type": "text",
|
|
"text": "你是谁"
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|
|
"#;
|
|
let mes: ChatCompletionParameters = serde_json::from_str(message)?;
|
|
let i_start = Instant::now();
|
|
// let mut model = Qwen2_5VLGenerateModel::init(model_path, &device, dtype)?;
|
|
let mut model = ModelType::init(ModelType::Qwen2_5VL, model_path, None, None)?;
|
|
let i_duration = i_start.elapsed();
|
|
println!("Time elapsed in load model is: {:?}", i_duration);
|
|
|
|
let i_start = Instant::now();
|
|
let result = model.generate(mes)?;
|
|
println!("generate: \n {:?}", result);
|
|
let i_duration = i_start.elapsed();
|
|
println!("Time elapsed in generate is: {:?}", i_duration);
|
|
|
|
Ok(())
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn qwen2_5vl_stream() -> Result<()> {
|
|
// test with cuda+flash-attn: RUST_BACKTRACE=1 cargo test -F cuda,flash-attn qwen2_5vl_generate -- --nocapture
|
|
let device = Device::cuda_if_available(0)?;
|
|
let dtype = DType::BF16;
|
|
|
|
let model_path = "/home/jhq/huggingface_model/Qwen/Qwen2.5-VL-3B-Instruct/";
|
|
|
|
let message = r#"
|
|
{
|
|
"model": "qwen2.5vl",
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{
|
|
"type": "image",
|
|
"image_url":
|
|
{
|
|
"url": "file://./assets/img/ocr_test.png"
|
|
}
|
|
},
|
|
{
|
|
"type": "text",
|
|
"text": "请分析图片并提取所有可见文本内容，按从左到右、从上到下的布局，返回纯文本"
|
|
}
|
|
]
|
|
}
|
|
]
|
|
}
|
|
"#;
|
|
let mes: ChatCompletionParameters = serde_json::from_str(message)?;
|
|
let i_start = Instant::now();
|
|
// let mut model = Qwen2_5VLGenerateModel::init(model_path, &device, dtype)?;
|
|
let mut model = ModelType::init(ModelType::Qwen2_5VL, model_path, None, None)?;
|
|
let i_duration = i_start.elapsed();
|
|
println!("Time elapsed in load model is: {:?}", i_duration);
|
|
|
|
let i_start = Instant::now();
|
|
let mut stream = pin!(model.generate_stream(mes)?);
|
|
while let Some(item) = stream.next().await {
|
|
println!("generate: \n {:?}", item);
|
|
}
|
|
|
|
let i_duration = i_start.elapsed();
|
|
println!("Time elapsed in generate is: {:?}", i_duration);
|
|
|
|
Ok(())
|
|
}
|