forked from camenduru/ai-voice-cloning
removed the logic to toggle BNB capabilities, since I guess I can't do that from outside the module
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225dee22d4
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941a27d2b3
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@ -1,5 +1,5 @@
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git submodule init
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git submodule update
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git submodule update --remote
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python -m venv venv
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call .\venv\Scripts\activate.bat
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@ -1,6 +1,6 @@
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#!/bin/bash
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git submodule init
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git submodule update
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git submodule update --remote
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python3 -m venv venv
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source ./venv/bin/activate
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@ -1,5 +1,5 @@
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git submodule init
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git submodule update
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git submodule update --remote
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python -m venv venv
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call .\venv\Scripts\activate.bat
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@ -1,6 +1,6 @@
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#!/bin/bash
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git submodule init
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git submodule update
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git submodule update --remote
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python3 -m venv venv
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source ./venv/bin/activate
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19
src/train.py
19
src/train.py
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@ -2,8 +2,6 @@ import os
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import sys
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import argparse
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# this is some massive kludge that only works if it's called from a shell and not an import/PIP package
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# it's smart-yet-irritating module-model loader breaks when trying to load something specifically when not from a shell
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@ -19,16 +17,6 @@ sys.path.insert(0, './dlas/')
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# don't even really bother trying to get DLAS PIP'd
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# without kludge, it'll have to be accessible as `codes` and not `dlas`
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import torch_intermediary
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# could just move this auto-toggle into the MITM script
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try:
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import bitsandbytes as bnb
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torch_intermediary.OVERRIDE_ADAM = True
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torch_intermediary.OVERRIDE_ADAMW = True
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except Exception as e:
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torch_intermediary.OVERRIDE_ADAM = False
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torch_intermediary.OVERRIDE_ADAMW = False
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import torch
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from codes import train as tr
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from utils import util, options as option
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@ -64,6 +52,13 @@ def train(yaml, launcher='none'):
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trainer.do_training()
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if __name__ == "__main__":
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try:
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import torch_intermediary
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if torch_intermediary.OVERRIDE_ADAM:
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print("Using BitsAndBytes ADAMW optimizations")
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except Exception as e:
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pass
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parser = argparse.ArgumentParser()
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parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_vit_latent.yml', nargs='+') # ugh
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parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none', help='job launcher')
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