105 lines
3.7 KiB
Rust
105 lines
3.7 KiB
Rust
use std::{pin::pin, time::Instant};
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use aha::models::{GenerateModel, deepseek_ocr::generate::DeepseekOCRGenerateModel};
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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 deepseek_ocr_generate() -> Result<()> {
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// RUST_BACKTRACE=1 cargo test -F cuda --test test_deepseek_ocr deepseek_ocr_generate -r -- --nocapture
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let message = r#"
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{
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"model": "deepseek-ocr",
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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": "image",
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"image_url":
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{
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"url": "file://./assets/img/ocr_test1.png"
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}
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},
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{
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"type": "text",
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"text": "<image>\nConvert the document to markdown. "
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}
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]
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}
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],
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"metadata": {"base_size": "640", "image_size": "640", "crop_mode": "false"}
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}
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"#;
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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!("{}/deepseek-ai/DeepSeek-OCR/", save_dir);
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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 model = DeepseekOCRGenerateModel::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 = 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 deepseek_ocr_stream() -> Result<()> {
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// test with cuda: RUST_BACKTRACE=1 cargo test -F cuda deepseek_ocr_stream -r -- --nocapture
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let message = r#"
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{
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"model": "deepseek-ocr",
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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": "image",
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"image_url":
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{
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"url": "file://./assets/img/ocr_test1.png"
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}
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},
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{
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"type": "text",
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"text": "<image>\n<|grounding|>Convert the document to markdown. "
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}
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]
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},
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{
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"role": "assistant",
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"content": ""
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}
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],
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"metadata": {"base_size": "640", "image_size": "640", "crop_mode": "false"}
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}
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"#;
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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!("{}/deepseek-ai/DeepSeek-OCR/", save_dir);
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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 model = DeepseekOCRGenerateModel::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 mut stream = pin!(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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