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hkchengrex

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MMAudio

like 620

Running on Zero

Occasionally processing would fail. In the log I see

Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/spaces/zero/wrappers.py", line 135, in worker_init
    torch.init(nvidia_uuid)
  File "/usr/local/lib/python3.10/site-packages/spaces/zero/torch/patching.py", line 352, in init
    torch.Tensor([0]).cuda()
  File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 314, in _lazy_init
    torch._C._cuda_init()
RuntimeError: No CUDA GPUs are available
  INFO     | HTTP Request: POST http://device-api.zero/release?allowToken=1574b021ca0ed5e01dfb6eb64e2efd003109405ef4af26d0749a4249384960e5&fail=true "HTTP/1.1 200 OK"
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/gradio/queueing.py", line 624, in process_events
    response = await route_utils.call_process_api(
  File "/usr/local/lib/python3.10/site-packages/gradio/route_utils.py", line 323, in call_process_api
    output = await app.get_blocks().process_api(
  File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 2043, in process_api
    result = await self.call_function(
  File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 1590, in call_function
    prediction = await anyio.to_thread.run_sync(  # type: ignore
  File "/usr/local/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
    return await get_async_backend().run_sync_in_worker_thread(
  File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2505, in run_sync_in_worker_thread
    return await future
  File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 1005, in run
    result = context.run(func, *args)
  File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 865, in wrapper
    response = f(*args, **kwargs)
  File "/usr/local/lib/python3.10/site-packages/spaces/zero/wrappers.py", line 214, in gradio_handler
    raise res.value
RuntimeError: No CUDA GPUs are available

Any clue as to why this might happen?
cc @hysts