英文:
How to resume a pytorch training of a deep learning model while training stopped due to power issues or some other interrpts
问题
我正在训练一个深度学习模型，想要保存模型的检查点，但当电源中断时，训练会停止，然后我需要从被中断的那一点重新开始，比如已完成了10个epochs，我想要从第11个epoch重新开始，使用之前的参数。
英文:
Actually i am training a deep learning model and want to save checkpoint of the model but its stopped when power is off then i have to start from that point from which its interrupted like 10 epoches completed and want to resume/start again from epoch 11 with that parameters
答案1
得分: 1
在PyTorch中，您可以使用checkpoint字典中的epoch键来从特定点恢复，如下所示：
# 载入模型检查点
checkpoint = torch.load("checkpoint.pth")
model.load_state_dict(checkpoint['model'])
epoch = checkpoint['epoch']
# 从特定的纪元恢复训练
for epoch in range(epoch + 1, num_epochs):
...
注意：代码部分不会进行翻译。
英文:
In PyTorch, you can resume from a specific point by using epoch key from the checkpoint dictionary as follows:
# Load model checkpoint
checkpoint = torch.load("checkpoint.pth")
model.load_state_dict(checkpoint['model'])
epoch = checkpoint['epoch']
# Resume training from a specific epoch
for epoch in range(epoch + 1, num_epochs):
...
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