def checkpoint(function, *args, use_reentrant: bool = True, **kwargs): r"""Checkpoint a model or part of the model Checkpointing works by trading compute for memory. Rather than storing all intermediate activations of the entire computation graph for computing backward, the checkpointed part ...
outputs = run_function(*args)returnoutputs@staticmethoddefbackward(ctx, *args):ifnottorch.autograd._is_checkpoint_valid():raiseRuntimeError("Checkpointing is not compatible with .grad() or when an `inputs` parameter"" is passed to .backward(). Please use .backward() and do not pass its ...
def checkpoint(function, *args, use_reentrant: bool = True, **kwargs): r"""Checkpoint a model or part of the model Checkpointing works by trading compute for memory. Rather than storing all intermediate activations of the entire computation graph for computing backward, the checkpointed part ...
幸运的是,这两种设计的复杂性都包装在一个简单易用的 API 中 - 要使用的新实现是通过 use_reentrant 标志指定的,其中使用False(即新实现)将在将来的版本中成为默认值: fromtorch.utils.checkpointimportcheckpointcheckpoint(run_function,args,use_reentrant=False) 总结 本文介绍了 PyTorch 中的激活检查点技术,旨在...
or try to use _set_static_graph() as a workaround if this module graph does not change during training loop.2) Reused parameters in multiple reentrant backward passes. For example, if you use multiple `checkpoint` functions to wrap the same part of your model, it would result in the ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - CheckpointError with checkpoint(..., use_reentrant=False) & autocast() · pytorch/pytorch@920e436
(self.layers))] # Get a group of two layers x = torch.utils.checkpoint.checkpoint(lambda x: self._forward_layers(layer_group, x), x, preserve_rng_state=False, use_reentrant=self.use_reentrant) return x def forward(self, x): if self.use_checkpointing: x = self.checkpointing_group_...
激活检查点是一种减小内存占用的技巧，以牺牲部分计算资源为代价。这种方法通过仅在需要时重新计算反向传播所需的中间张量，从而避免保存这些张量。PyTorch中包含两种激活检查点实现，即可重新进入和不可重新进入版本。不可重新进入版本在解决可重新进入检查点的限制方面更为先进，可通过use_reentrant标志指定使用...
mutex non_reentrant_device_thread_mutex_;// stop() must be called before the destruction path goes down to the base// class, in order to avoid a data-race-on-vptr. Use this boolean to guard// whether stop() has already been called, so we can call this in every// destructor of ...
that processes// tasks (ex: device threads). When graph_task is non-null (ex: reentrant// backwards, user thread), this function is expected to exit once that// graph_task complete.// local_ready_queue should already been initialized when we get into thread_mainwhile(graph_task==nullptr...