jhqxxx
99 lines
3.5 KiB
Rust
99 lines
3.5 KiB
Rust
use std::{pin::pin, time::Instant};
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use aha::models::{GenerateModel, glm_asr_nano::generate::GlmAsrNanoGenerateModel};
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use aha_openai_dive::v1::resources::chat::ChatCompletionParameters;
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use anyhow::Result;
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use rocket::futures::StreamExt;
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#[test]
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fn glm_asr_nano_generate() -> Result<()> {
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// RUST_BACKTRACE=1 cargo test -F cuda glm_asr_nano_generate -r -- --nocapture
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let save_dir =
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aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
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let model_path = format!("{}/ZhipuAI/GLM-ASR-Nano-2512/", save_dir);
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let message = r#"
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{
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"model": "glm-asr-nano",
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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": "audio",
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"audio_url":
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{
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"url": "https://package-release.coderbox.cn/aiway/test/other/%E5%93%AA%E5%90%92.wav"
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}
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},
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{
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"type": "text",
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"text": "Please transcribe this audio into text"
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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 glm_asr_model = GlmAsrNanoGenerateModel::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 = glm_asr_model.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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#[tokio::test]
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async fn glm_asr_nano_stream() -> Result<()> {
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// RUST_BACKTRACE=1 cargo test -F cuda glm_asr_nano_stream -r -- --nocapture
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let save_dir =
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aha::utils::get_default_save_dir().ok_or(anyhow::anyhow!("Failed to get save dir"))?;
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let model_path = format!("{}/ZhipuAI/GLM-ASR-Nano-2512/", save_dir);
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let message = r#"
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{
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"model": "glm-asr-nano",
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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": "audio",
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"audio_url":
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{
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"url": "file://./assets/audio/zh.mp3"
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}
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},
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{
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"type": "text",
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"text": "Please transcribe this audio into text"
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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 glm_asr_model = GlmAsrNanoGenerateModel::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 mut stream = pin!(glm_asr_model.generate_stream(mes)?);
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while let Some(item) = stream.next().await {
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println!("generate: \n {:?}", item);
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}
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let i_duration = i_start.elapsed();
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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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