Illegal instruction (core dumped) #1126
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MaxKordt
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Did you ever figure this out? I'm having the same problem with Raspi 4. I've read it's possibly due to 64-bit OS vs. 32-bit? |
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Hey,
it has been so long since I did this for an university project. I remember that I used coqui in my final work but on my laptop instead of a raspi. Used an old macbook. More eludes me...
Wish you best of luck!
… Am 08.08.2024 um 23:19 schrieb Matt F ***@***.***>:
Did you ever figure this out? I'm having the same problem with Raspi 4. I've read it's possibly due to 64-bit OS vs. 32-bit?
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Hello,
for a project at my university I am currently developing a voice assistant app. I would like to use coqui TTS to synthesize speech.
As a 'server' I got handed a Raspberry Pi 4.
As os I installed a clean Ubuntu Server LTS and later ran
pip install TTS.
Worked so far. Now I am stuck when trying to use tts.I tried for example:
tts-server --use_cuda=false --model_name tts_models/de/thorsten/tacotron2-DCA
ortts --use_cuda=false --text "Hello World!" --model_name tts_models/de/thorsten/tacotron2-DCA
tts-server... results in:
/home/ubuntu/coquiTTS/lib/python3.8/site-packages/torch/package/_directory_reader.py:17: UserWarning: Failed to initialize NumPy: module compiled against API version 0xe but this version of numpy is 0xd (Triggered internally at /root/pytorch/torch/csrc/utils/tensor_numpy.cpp:68.)
_dtype_to_storage = {data_type(0).dtype: data_type for data_type in _storages}
WARNING: This is a development server. Do not use it in a production deployment.
Use a production WSGI server instead.
WARNING: This is a development server. Do not use it in a production deployment.
After going to my browser and entering a the text "Hallo Welt!" is followed by:
I have no clue what the Illegal instruction is, is caused by and how to resolve.
Since this is my first time working with Linux and anything related to TTS and coqui I tried following the warning and upgrade NumPy to get from 0xd to 0xe. But it is being aborted since TTS 0.5.0 needs this specific version of NumPy. Additionally I tried to downgrade pytorch but that does not even start the server and throw some other error. My python is 3.8.10
As I am now at my wits end what causes this and where to further search I hope someone knows this problem or has an idea in which area I need to search to fix this.
Any input is much appreciated!
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