Activates gradient checkpointing for the current model. Note that in other frameworks this feature can be referred to as “activation checkpointing” or “ ...

22 мар. 2024 г. · Gradient checkpointing is an easy way to get around this. Here is what you need to do, when you declare your model just add model.gradient_checkpointing_enable ...

Activates gradient checkpointing for the current model. Note that in other frameworks this feature can be referred to as “activation checkpointing” or “ ...

21 нояб. 2023 г. · When model.gradient_checkpointing_enable is commented out, the model will train fine on 2 gpus: $ accelerate launch --use_fsdp -m train_multi

20 окт. 2023 г. · I tried passing gradient_checkpointing_kwargs={'use_reentrant':False} to model.gradient_checkpointing_enabled() , but it just bombs-out with a " ...

gradient_checkpointing_enable() # type: ignore # setup the tokenizer if tokenizer_name: tokenizer = transformers.AutoTokenizer.from_pretrained ...

26 дек. 2023 г. · model.gradient_checkpointing_enable() : 这个函数调用启用了模型的梯度检查点。梯度检查点是一种优化技术，可用于减少训练时的内存消耗。通常，在反向传播 ...

gradient_checkpointing_enable ¶. gradient_checkpointing_enable() -> None. Enable gradient checkpointing on the base model. noise_loss_wrapper ...

28 февр. 2023 г. · When I want to apply activation checkpointing with PyTorch's FSDP, should I apply the function instead of gradient_checkpointing_enable provided ...

Layer-wise Relevance Propagation is a rule-based backpropagation algorithm. This means, that we can implement LRP in a single backward pass!