Merge branch 'voxcpm1.5'
This commit is contained in:
+12
-2
@@ -28,8 +28,8 @@ fn minicpm4_config() -> Result<()> {
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#[test]
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fn voxcpm_config() -> Result<()> {
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// cargo test -F cuda,flash-attn minicpm4_config -r -- --nocapture
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// cargo test -F cuda minicpm4_config -- --nocapture
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// cargo test -F cuda,flash-attn voxcpm_config -r -- --nocapture
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// cargo test -F cuda voxcpm_config -r -- --nocapture
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let model_path = "/home/jhq/huggingface_model/openbmb/VoxCPM-0.5B/";
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let config_path = model_path.to_string() + "/config.json";
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let config: VoxCPMConfig = serde_json::from_slice(&std::fs::read(config_path)?)?;
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@@ -37,6 +37,16 @@ fn voxcpm_config() -> Result<()> {
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Ok(())
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}
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#[test]
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fn voxcpm1_5_config() -> Result<()> {
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// cargo test -F cuda voxcpm1_5_config -r -- --nocapture
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let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
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let config_path = model_path.to_string() + "/config.json";
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let config: VoxCPMConfig = serde_json::from_slice(&std::fs::read(config_path)?)?;
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println!("{:?}", config);
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Ok(())
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}
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#[test]
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fn qwen3vl_config() -> Result<()> {
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// cargo test -F cuda qwen3vl_config -r -- --nocapture
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@@ -20,10 +20,10 @@ fn voxcpm_generate() -> Result<()> {
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// let generate = voxcpm_generate.generate_simple("太阳当空照,花儿对我笑,小鸟说早早早".to_string())?;
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let generate = voxcpm_generate.generate(
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"太阳当空照,花儿对我笑,小鸟说早早早".to_string(),
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// Some("啥子小师叔,打狗还要看主人,你再要继续,我,就是你的对手".to_string()),
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// Some("./assets/audio/voice_01.wav".to_string()),
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Some("一定被灰太狼给吃了,我已经为他准备好了花圈了".to_string()),
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Some("./assets/audio/voice_05.wav".to_string()),
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Some("啥子小师叔,打狗还要看主人,你再要继续,我,就是你的对手".to_string()),
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Some("./assets/audio/voice_01.wav".to_string()),
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// Some("一定被灰太狼给吃了,我已经为他准备好了花圈了".to_string()),
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// Some("./assets/audio/voice_05.wav".to_string()),
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2,
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100,
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10,
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@@ -50,7 +50,7 @@ fn voxcpm_generate() -> Result<()> {
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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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save_wav(&generate, "voxcpm.wav")?;
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save_wav(&generate, "voxcpm.wav", 16000)?;
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Ok(())
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}
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@@ -0,0 +1,65 @@
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use std::time::Instant;
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use aha::{
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models::voxcpm::{generate::VoxCPMGenerate, tokenizer::SingleChineseTokenizer},
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utils::audio_utils::save_wav,
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};
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use anyhow::{Ok, Result};
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#[test]
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fn voxcpm1_5_generate() -> Result<()> {
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// RUST_BACKTRACE=1 cargo test -F cuda voxcpm1_5_generate -r -- --nocapture
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let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
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let i_start = Instant::now();
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let mut voxcpm_generate = VoxCPMGenerate::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 generate = voxcpm_generate.generate_simple("太阳当空照,花儿对我笑,小鸟说早早早".to_string())?;
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let generate = voxcpm_generate.generate(
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"太阳当空照,花儿对我笑,小鸟说早早早".to_string(),
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Some("啥子小师叔,打狗还要看主人,你再要继续,我就是你的对手".to_string()),
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Some("./assets/audio/voice_01.wav".to_string()),
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// Some("一定被灰太狼给吃了,我已经为他准备好了花圈了".to_string()),
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// Some("./assets/audio/voice_05.wav".to_string()),
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2,
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4096,
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10,
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2.0,
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false,
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6.0,
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)?;
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// 创建prompt_cache
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// let _ = voxcpm_generate.build_prompt_cache(
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// "啥子小师叔,打狗还要看主人,你再要继续,我,就是你的对手".to_string(),
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// "./assets/audio/voice_01.wav".to_string(),
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// )?;
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// // 使用prompt_cache生成语音
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// let generate = voxcpm_generate.generate_use_prompt_cache(
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// "太阳当空照,花儿对我笑,小鸟说早早早".to_string(),
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// 2,
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// 100,
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// 10,
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// 2.0,
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// false,
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// 6.0,
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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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save_wav(&generate, "voxcpm1_5.wav", 44100)?;
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Ok(())
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}
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#[test]
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fn voxcpm1_5_tokenizer() -> Result<()> {
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// RUST_BACKTRACE=1 cargo test -F cuda voxcpm1_5_tokenizer -r -- --nocapture
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let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
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let tokenizer = SingleChineseTokenizer::new(model_path)?;
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let ids = tokenizer.encode("你好啊,你吃饭了吗".to_string())?;
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println!("ids: {:?}", ids);
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Ok(())
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}
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@@ -46,6 +46,26 @@ fn voxcpm_weight() -> Result<()> {
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Ok(())
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}
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#[test]
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fn voxcpm1_5_weight() -> Result<()> {
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let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
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let model_list = find_type_files(model_path, "pth")?;
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println!("model_list: {:?}", model_list);
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let dev = get_device(None);
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let mut dict_to_hashmap = HashMap::new();
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let mut dtype = candle_core::DType::F32;
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for m in model_list {
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let dict = read_all_with_key(m, Some("state_dict"))?;
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dtype = dict[0].1.dtype();
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for (k, v) in dict {
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println!("key: {}, tensor shape: {:?}", k, v);
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dict_to_hashmap.insert(k, v);
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}
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}
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Ok(())
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}
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#[test]
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fn qwen3vl_weight() -> Result<()> {
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let model_path = "/home/jhq/huggingface_model/Qwen/Qwen3-VL-4B-Instruct/";
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