add voxcpm with some bug

tests/test_voxcpm.rs

@@ -0,0 +1,57 @@
+use std::collections::HashMap;
+use anyhow::{Ok, Result};
+
+use aha::{models::voxcpm::{audio_vae::AudioVAE, config::VoxCPMConfig, model::VoxCPMModel, tokenizer::SingleChineseTokenizer}, utils::utils::{find_type_files, get_device}};
+use candle_core::pickle::read_all_with_key;
+use candle_nn::VarBuilder;
+
+
+#[test]
+fn voxcpm_generate() -> Result<()> {
+    let model_path = "/home/jhq/huggingface_model/openbmb/VoxCPM-0.5B/";
+    let model_list = find_type_files(&model_path, "pth")?;
+    println!(" pth model_list: {:?}", model_list);
+    let dev = get_device(None);
+    let mut dict_to_hashmap = HashMap::new();
+    let mut dtype = candle_core::DType::F32;
+    for m in model_list {  
+        let dict = read_all_with_key(m, Some("state_dict"))?;        
+        dtype = dict[0].1.dtype();
+        for (k, v) in dict {
+            // println!("key: {}, tensor shape: {:?}", k, v);
+            dict_to_hashmap.insert(k, v);
+        }        
+    }
+    let vb = VarBuilder::from_tensors(dict_to_hashmap, dtype, &dev);
+    let audio_vae = AudioVAE::new(vb, 128, vec![2, 5, 8, 8], Some(64), 1536, vec![8, 8, 5, 2], 16000)?;
+    println!("audio vae load down");
+    let model_list = find_type_files(&model_path, "bin")?;
+    println!(" bin model_list: {:?}", model_list);
+    dict_to_hashmap = HashMap::new();
+    for m in model_list {  
+        let dict = read_all_with_key(m, Some("state_dict"))?;        
+        dtype = dict[0].1.dtype();
+        for (k, v) in dict {
+            // println!("key: {}, tensor shape: {:?}", k, v);
+            dict_to_hashmap.insert(k, v);
+        }        
+    }
+    let vb_vox = VarBuilder::from_tensors(dict_to_hashmap, dtype, &dev);
+    let config_path = model_path.to_string() + "/config.json";
+    let config: VoxCPMConfig = serde_json::from_slice(&std::fs::read(config_path)?)?;
+    let tokenizer = SingleChineseTokenizer::new(model_path)?;
+    let mut voxcpm = VoxCPMModel::new(vb_vox, config, tokenizer, audio_vae)?;
+    let generate = voxcpm.generate("你好啊，这是初始测试语句".to_string(), None, None, 2, 30, 10, 2.0, false, 3, 6.0)?;
+    // let audio_path = "./assets/audio/example.wav";
+    
+    Ok(())
+}
+
+#[test]
+fn voxcpm_tokenizer() -> Result<()> {
+    let model_path = "/home/jhq/huggingface_model/openbmb/VoxCPM-0.5B/";
+    let tokenizer = SingleChineseTokenizer::new(model_path)?;
+    let ids = tokenizer.encode("你好啊，你吃饭了吗".to_string())?;
+    println!("ids: {:?}", ids);
+    Ok(())
+}