42 lines
1.3 KiB
Rust
42 lines
1.3 KiB
Rust
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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 model_path = "/home/jhq/huggingface_model/stepfun-ai/GELab-Zero-4B-preview";
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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!"
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}
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]
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}
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]
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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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println!("Time elapsed in generate is: {:?}", i_duration);
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Ok(())
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}
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