update qwen2.5vl

tests/test_qwen2_5vl.rs

@@ -1,9 +1,10 @@
-use std::time::Instant;
+use std::{pin::pin, time::Instant};
 
 use aha::{models::{qwen2_5vl::generate::Qwen2_5VLGenerateModel, GenerateModel}, ModelType};
 use anyhow::{Result};
 use candle_core::{DType, Device};
 use openai_dive::v1::resources::chat::ChatCompletionParameters;
+use rocket::futures::StreamExt;
 
 
 #[test]
@@ -48,9 +49,60 @@ fn qwen2_5vl_generate() -> Result<()> {
 
     let i_start = Instant::now();
     let result = model.generate(mes)?;
-    println!("generate: \n{}", result);    
+    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(())
 }