KingBright
77 lines
2.7 KiB
Rust
77 lines
2.7 KiB
Rust
use std::time::Instant;
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use aha::models::{GenerateModel, qwen3vl::generate::Qwen3VLGenerateModel};
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use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
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use anyhow::Result;
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#[test]
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fn gelab_zero_generate() -> Result<()> {
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// test with cuda: RUST_BACKTRACE=1 cargo test -F cuda gelab_zero_generate -r -- --nocapture
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let save_dir = aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
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let model_path = format!("{}/stepfun-ai/GELab-Zero-4B-preview", save_dir);
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let message = r#"
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{
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"model": "gelab-zero",
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Hello, GELab-Zero!, 现在几点了"
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}
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]
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}
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],
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"tools": [
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{
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"type": "function",
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"function": {
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"name": "get_current_time",
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"description": "当你想知道现在的时间时非常有用。",
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"parameters": {}
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}
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},
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{
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"type": "function",
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"function": {
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"name": "get_current_weather",
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"description": "当你想查询指定城市的天气时非常有用。",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "城市或县区，比如北京市、杭州市、余杭区等。"
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}
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},
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"required": ["location"]
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}
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}
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}
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],
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"tool_choice": null
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}
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"#;
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let mes: ChatCompletionParameters = serde_json::from_str(message)?;
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let i_start = Instant::now();
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let mut qwen3vl = Qwen3VLGenerateModel::init(&model_path, None, None)?;
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let i_duration = i_start.elapsed();
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println!("Time elapsed in load model is: {:?}", i_duration);
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let i_start = Instant::now();
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let res = qwen3vl.generate(mes)?;
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let i_duration = i_start.elapsed();
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println!("generate: \n {:?}", res);
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if res.usage.is_some() {
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let num_token = res.usage.as_ref().unwrap().total_tokens;
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let duration_secs = i_duration.as_secs_f64();
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let tps = num_token as f64 / duration_secs;
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println!("Tokens per second (TPS): {:.2}", tps);
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}
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println!("Time elapsed in generate is: {:?}", i_duration);
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Ok(())
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}
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