mirror of https://github.com/bmaltais/kohya_ss
94 lines
2.9 KiB
Python
94 lines
2.9 KiB
Python
import os
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import gradio as gr
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from easygui import msgbox
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import subprocess
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import time
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import webbrowser
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from .custom_logging import setup_logging
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# Set up logging
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log = setup_logging()
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tensorboard_proc = None
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TENSORBOARD = 'tensorboard' if os.name == 'posix' else 'tensorboard.exe'
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# Set the default tensorboard port
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DEFAULT_TENSORBOARD_PORT = 6006
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def start_tensorboard(headless, logging_dir, wait_time=5):
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os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
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global tensorboard_proc
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headless_bool = True if headless.get('label') == 'True' else False
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# Read the TENSORBOARD_PORT from the environment, or use the default
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tensorboard_port = os.environ.get('TENSORBOARD_PORT', DEFAULT_TENSORBOARD_PORT)
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# Check if logging directory exists and is not empty; if not, warn the user and exit
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if not os.path.exists(logging_dir) or not os.listdir(logging_dir):
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log.error('Error: logging folder does not exist or does not contain logs.')
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msgbox(msg='Error: logging folder does not exist or does not contain logs.')
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return # Exit the function with an error code
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run_cmd = [
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TENSORBOARD,
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'--logdir',
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logging_dir,
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'--host',
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'0.0.0.0',
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'--port',
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str(tensorboard_port),
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]
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log.info(run_cmd)
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if tensorboard_proc is not None:
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log.info(
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'Tensorboard is already running. Terminating existing process before starting new one...'
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)
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stop_tensorboard()
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# Start background process
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log.info('Starting TensorBoard on port {}'.format(tensorboard_port))
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try:
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# Copy the current environment
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env = os.environ.copy()
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# Set your specific environment variable
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env['TF_ENABLE_ONEDNN_OPTS'] = '0'
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tensorboard_proc = subprocess.Popen(run_cmd, env=env)
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except Exception as e:
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log.error('Failed to start Tensorboard:', e)
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return
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if not headless_bool:
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# Wait for some time to allow TensorBoard to start up
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time.sleep(wait_time)
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# Open the TensorBoard URL in the default browser
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tensorboard_url = f'http://localhost:{tensorboard_port}'
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log.info(f'Opening TensorBoard URL in browser: {tensorboard_url}')
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webbrowser.open(tensorboard_url)
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def stop_tensorboard():
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global tensorboard_proc
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if tensorboard_proc is not None:
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log.info('Stopping tensorboard process...')
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try:
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tensorboard_proc.terminate()
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tensorboard_proc = None
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log.info('...process stopped')
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except Exception as e:
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log.error('Failed to stop Tensorboard:', e)
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else:
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log.warning('Tensorboard is not running...')
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def gradio_tensorboard():
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with gr.Row():
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button_start_tensorboard = gr.Button('Start tensorboard')
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button_stop_tensorboard = gr.Button('Stop tensorboard')
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return (button_start_tensorboard, button_stop_tensorboard)
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