Files
2023-07-06 16:35:36 +02:00

51 lines
2.3 KiB
Python

import torch
import numpy as np
import os
import logging
class CheckpointSaver:
def __init__(self, dirpath, top_n=5):
"""
dirpath: Directory path where to store all model weights
decreasing: If decreasing is `True`, then lower metric is better
top_n: Total number of models to track based on validation metric value
"""
if not os.path.exists(dirpath): os.makedirs(dirpath)
self.dirpath = dirpath
self.top_n = top_n
self.top_model_paths = []
def __call__(self, model, iteration, optimizer, scaler):
model_path = os.path.join(self.dirpath, f'iteration_{iteration}.pt')
torch.save({ 'model': model.state_dict(), 'optimizer': optimizer, 'scaler': scaler }, model_path)
self.top_model_paths.append({'path': model_path})
if len(self.top_model_paths)>self.top_n:
self.cleanup()
def cleanup(self):
to_remove = self.top_model_paths[:len(self.top_model_paths)-self.top_n]
logging.info(f"Removing extra models.. {to_remove}")
for o in to_remove:
os.remove(o['path'])
self.top_model_paths = self.top_model_paths[len(self.top_model_paths)-self.top_n:]
def load_model(model: torch.nn.Module, checkpoint, optimizer: torch.nn.Module=None, scaler: torch.nn.Module=None, iteration=''):
# list of checkpoint files in the folder checkpoints
if iteration == '':
checkpoints = [os.path.join(checkpoint, f) for f in os.listdir(checkpoint) if f.endswith('.pt')]
else:
checkpoints = [os.path.join(checkpoint, f) for f in os.listdir(checkpoint) if f.endswith(f'iteration_{iteration}.pt')]
assert len(checkpoints) == 1
iterations = np.asarray([int(f.split('_')[-1].split('.')[0]) for f in checkpoints])
last_iteration = np.argmax(iterations)
checkpoint = torch.load(checkpoints[last_iteration])
iteration = iterations[last_iteration]
model.load_state_dict(checkpoint['model'], strict=False)
if optimizer is not None: optimizer.load_state_dict(checkpoint['optimizer'].state_dict())
if scaler is not None and checkpoint['scaler'] is not None: scaler.load_state_dict(checkpoint['scaler'])
print(f'Loaded model from {checkpoints[last_iteration]} at iteration {iteration}')
return int(iteration) if iteration != '' else 0