python # 根据你的需求选择 use_reentrant=True 或 use_reentrant=False output = torch.utils.checkpoint.checkpoint(some_function, *args, use_reentrant=True, **kwargs) # 或者 output = torch.utils.checkpoint.checkpoint(some_function, *args, use_reentrant=False, **kwargs) 这样,你就显式指定了use...
SKIP_CONV2D = False TRANSFORMER_ONLY = True # if True, SKIP_CONV2D is ignored ATTN1_ETC_ONLY = True @@ -286,7 +286,7 @@ def save_weights(self, file, dtype, metadata): unet.to("cuda").to(torch.float16) print("create LoRA controlnet") control_net = LoRAControlNet(unet, 128,...
causing a 'use_reentrant=False' warning. The issue was resolved by removing the unnecessary initialization, ensuring proper handling of gradient checkpointing parameters.
self.check_training_gradient_checkpointing(gradient_checkpointing_kwargs={"use_reentrant": False}) Vectorrent commented Dec 5, 2023 Oops, syntax error. Sorry for the false alarm. With your example, I was able to fix that! ️ 1 Contributor younesbelkada commented Dec 5, 2023 Awesome...
-1为自动续期 */longleaseTime()default-1;/** 是否自动解锁,true会在方法结束后自动解锁;false仅在锁过期才会解锁 */booleanautoUnlock()defaulttrue;/** 获取锁失败的提示信息,会以异常(status=5)的方式抛出,仅锁模式为TRY_LOCK有效 */StringtryLockFailMsg()default"try lock failed";/** 锁等待时间,仅...