Repository: pytorch
Issue: The model compiled with torch.compile encounters an error when run.
Labels: triaged,oncall: pt2,module: inductor

### 🐛 Describe the bug

I have an LLM and I used torch.compile to compile the function for each step of decoding. After that, I encapsulated a server-side interface using Flask. When I make two concurrent calls, I encounter an error as follows:
```
nknown:0: unknown: block: [1,0,0], thread: [32,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.                              | 0/3633 [00:00<?, ?it/s]unknown:0: unknown: block: [1,0,0], thread: [33,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [1,0,0], thread: [34,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [1,0,0], thread: [35,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [1,0,0], thread: [36,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [1,0,0], thread: [37,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [1,0,0], thread: [38,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [1,0,0], thread: [39,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
....
unknown:0: unknown: block: [2,0,0], thread: [57,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [2,0,0], thread: [58,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [2,0,0], thread: [59,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [2,0,0], thread: [60,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [2,0,0], thread: [61,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
unknown:0: unknown: block: [2,0,0], thread: [62,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.unknown:0: unknown: block: [2,0,0], thread: [63,0,0] Assertion `index out of bounds: 0 <= tmp7 < 1291` failed.
  0%|                                                                                                                              | 1/3633 [00:00<02:30, 24.07it/s]Exception in thread Thread-10 (llm_job):
Traceback (most recent call last):  File "/home/ubuntu/anaconda3/envs/fish-speech-v2/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
    self.run()  File "/home/ubuntu/anaconda3/envs/fish-speech-v2/lib/python3.10/threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)  File "/mnt/md0/wy/workspace/tts/open_resource/llm_tts_server/llm_tts.py", line 101, in llm_job
    for idx, token in enumerate(llm.llm(tts_text_token, spk_embedding)):  File "/mnt/md0/wy/workspace/tts/open_resource/llm_tts_server/fish_speech/llm.py", line 36, in llm
    for y in self.generate(  File "/home/ubuntu/anaconda3/envs/fish-speech-v2/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 56, in generator_context
    response = gen.send(request)  File "/home/ubuntu/anaconda3/envs/fish-speech-v2/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 56, in generator_context
    response = gen.send(request)  File "/mnt/md0/wy/workspace/tts/open_resource/llm_tts_server/fish_speech/llm.py", line 274, in generate
    for x in self.decode_n_tokens(  File "/mnt/md0/wy/workspace/tts/open_resource/llm_tts_server/fish_speech/llm.py", line 206, in decode_n_tokens
    if cur_token[0, 0, -1] == self.im_end_id:RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
```
**However, when I make a single concurrent call, there are no errors. Additionally, if I don't use torch.compile, there are also no errors when making two concurrent calls**

### Versions

version：
python:3.10.4
pytorch:torch2.1.0+cu118

compile code:
```python
decode_one_token = torch.compile(decode_one_token, mode="reduce-overhead", fullgraph=True)
```
server code:
```python
import os
import sys
import argparse
from loguru import logger
from flask import Flask, jsonify, request, Response
from flask_socketio import SocketIO, emit
import uvicorn
import base64
import torch
import torchaudio
import io
import threading
import time
import uuid
import numpy as np
import json
from werkzeug.utils import secure_filename
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append('{}/..'.format(ROOT_DIR))
from llm_tts import LLM_TTS
from constant import MAX_DEC_NUM, MIN_PROMPT_AUDIO_DUR, MAX_PROMPT_AUDIO_DUR, MIN_PROMPT_AUDIO_SAMPLE_RATE, MAX_TEXT_LENGTH

g_lock = threading.Lock()
g_current_dec_num = 0


app = Flask(__name__)

def buildResponse(outputs):
    buffer = io.BytesIO()
    result = []
    for i, output in enumerate(outputs):
        sample_rate = output['sample_rate']
        result.append(output['tts_speech'])    
    torchaudio.save(buffer, torch.cat(result, dim = 1), sample_rate, format="wav")
    buffer.seek(0)
    return Response(buffer.getvalue(), mimetype="audio/wav")

def audio_to_pcm_int16(audio: np.ndarray, sample_rate: int = None) -> bytes:
    '''
    `audio` is expected to have values in range [-1.0, 1.0] in float format.
    '''
    audio = (audio * np.iinfo(np.int16).max).astype(np.int16)
    return audio.tobytes()

@app.route("/inference_tts", methods=['POST'])
def inference_tts():
    request_data = request.get_json()
    tts_text = request_data.get("tts_text")
    spk_id = `request_data.get("spk_id")`
    if not tts_text or not spk_id:
        return jsonify({"error": "Missing 'tts_text', 'prompt_text' or 'prompt_wav' in request data"}), 400
    request_id = str(uuid.uuid4())
    model_output = llm_tts.tts(tts_text, spk_id)
    response = buildResponse(model_output)
    return response

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--port',
                        type=int,
                        default=50000)
    parser.add_argument('--config_path',
                        type=str,
                        default="config/config.yaml",
                        help='model dir')
    args = parser.parse_args()
    
    llm_tts = LLM_TTS(args.config_path)

    # warmup
    outputs = llm_tts.tts("This is a test case.", "female")
    for i, output in enumerate(outputs):
        pass
    app.run(host="0.0.0.0", port=args.port, debug=False)
```

cc @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @aakhundov