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[Bug] Docker Image Immediately Crashes

See original GitHub issue

Describe the bug

Docker image immediately crashes

To Reproduce

docker build .
docker image ls to find the has of most recent built image
docker image run ccecb48e2799

Expected behavior

Anything that’s not an error

Logs

Traceback (most recent call last):
  File "/venv/bin/tts", line 5, in <module>
    from TTS.bin.synthesize import main
  File "/root/TTS/bin/synthesize.py", line 11, in <module>
    from TTS.utils.manage import ModelManager
  File "/root/TTS/utils/manage.py", line 11, in <module>
    from TTS.config import load_config
  File "/root/TTS/config/__init__.py", line 10, in <module>
    from TTS.config.shared_configs import *
  File "/root/TTS/config/shared_configs.py", line 5, in <module>
    from trainer import TrainerConfig
  File "/venv/lib/python3.8/site-packages/trainer/__init__.py", line 3, in <module>
    from trainer.model import *
  File "/venv/lib/python3.8/site-packages/trainer/model.py", line 4, in <module>
    import torch
  File "/venv/lib/python3.8/site-packages/torch/__init__.py", line 655, in <module>
    from ._tensor import Tensor
  File "/venv/lib/python3.8/site-packages/torch/_tensor.py", line 15, in <module>
    from torch.overrides import (
  File "/venv/lib/python3.8/site-packages/torch/overrides.py", line 33, in <module>
    from torch._C import (
ImportError: cannot import name '_set_torch_function_mode' from 'torch._C' (/venv/lib/python3.8/site-packages/torch/_C.cpython-38-x86_64-linux-gnu.so)

Environment

{
    "CUDA": {
        "GPU": [],
        "available": false,
        "version": "10.2"
    },
    "Packages": {
        "PyTorch_debug": false,
        "PyTorch_version": "1.12.1+cu102",
        "TTS": "0.8.0",
        "numpy": "1.22.4"
    },
    "System": {
        "OS": "Linux",
        "architecture": [
            "64bit",
            "ELF"
        ],
        "processor": "",
        "python": "3.10.7",
        "version": "#1 SMP PREEMPT_DYNAMIC Thu, 15 Sep 2022 16:08:26 +0000"
    }
}

Additional context

Sorry this isn’t more helpful, but Docker images should be easily reproduced.

Issue Analytics

State:
Created a year ago
Comments:6 (1 by maintainers)

Top GitHub Comments

1reaction

maronezecommented, Dec 1, 2022

Thanks, it works!

1reaction

WeberJuliancommented, Nov 10, 2022

Sorry but I couldn’t reproduce your issue.

I tested on two separate envs (one with GPU the other without).

docker build -t tts .
docker run -it tts --text "Hello."

Gives me

...
 > Text: hello.
 > Text splitted to sentences.
['hello.']
 > Processing time: 0.21007227897644043
 > Real-time factor: 0.20090621753255167
 > Saving output to tts_output.wav