Comments (4)
Did you have any luck with this? I'm also interested. I'm fairly new to GPU programming, but it seems like it would probably be better/easier to leverage the Metal GPU than to get rid of the GPU support entirely, no? i.e., switch from the Cuda functions to the Metal functions: https://github.com/ggerganov/llama.cpp/blob/master/ggml-metal.m
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hey zane, i did end up getting it to work on mac m1, and then later in linux based docker using linux/arm64 machine. it was very involved. I had to build tensorflow-text, jax, and jaxlib from source for my python version (3.8) and machine aarch64. couldnt find a better way. the dockerfile is 2.1gb :(.
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I also needed to make quite a few modifications to mt3 and t5x setup.py files and scripts in order to use different versions of libraries only available on python 3.8.
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Would you mind sharing the Dockerfile? I’ve been piecing one together myself but was in the middle of dealing with the versioning hell that is all of Python, as you alluded.
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Related Issues (20)
- Error: subprocess-exited-with-error (Failed building wheel for llvmlite)) HOT 12
- Error: AttributeError: module 'optax' has no attribute 'ScaleByLionState' HOT 1
- How to solve the problem of 'same sound, different name', where notes with different pitches under different keys sound the same?
- mt3 model prefer 3/4 beats? HOT 7
- Train the model
- About No module named 'jax.experiential.array in Google Collab_ serialization HOT 3
- Error 'name 'serialization' is not defined' HOT 1
- No module named 'jax.experimental.gda_serialization' HOT 4
- Google Colab Notebook says its not using the GPU HOT 3
- Maximum call stack size exceeded in upload_audio
- colab is not working anymore HOT 26
- ERR: HOT 1
- some question when represent midi as sheet music in piano transcription
- ImportError HOT 6
- Error reported when running Imports and Definitions
- HOW TO SAVE A MODEL?
- Training & Finetuning HOT 1
- error when running the "Transcribe Audio" stage HOT 3
- CUDA backend failed to initialize HOT 2
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