你的输入中存在一个小错误,use_reentrant=f 应该是 use_reentrant=False。在 PyTorch 的 torch.utils.checkpoint 函数中,use_reentrant 参数接受 True 或False 作为其值。 解释use_reentrant参数的作用: use_reentrant 参数决定了检查点使用的具体实现方式: use_reentrant
causing a 'use_reentrant=False' warning. The issue was resolved by removing the unnecessary initialization, ensuring proper handling of gradient checkpointing parameters.
Tensors and Dynamic neural networks in Python with strong GPU acceleration - CheckpointError with checkpoint(..., use_reentrant=False) & autocast() · pytorch/pytorch@920e436
foriinrange(self.resblk_num): ifself.use_checkpointandself.training: x=checkpoint(self.resblks[i],x,octree,depth) x=checkpoint(self.resblks[i],x,octree,depth,use_reentrant=False) else: x=self.resblks[i](x,octree,depth) returnx
training_args=TrainingArguments(# Argumentsgradient_checkpointing=True,gradient_checkpointing_kwargs={'use_reentrant':False}# OR gradient_checkpointing_kwargs={'use_reentrant':True}# Arguments) younesbelkada, orangetin, Anooshiravan, RifleZhang, fasterinnerlooper, u1vi, p1utoze, jpWang, shivanrapt...
apply()的输入只支持:Tensor, List of Tensor, Tuple of Tensor,其余形式的Python对象将不视为Tensor只做透传给forward()。比如List of List of Tensor就不能当成Tensor处理。只有被识别为Tensor的输入stop_gradient==False,才会创建反向节点、建立反向边
-1为自动续期 */ long leaseTime() 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 */ boolean autoUnlock() default true; /** 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 */ String tryLockFailMsg() default "try lock failed";...
Fix: Suppressed 'use_reentrant=False' warning 397c0db CircleCI Checks run_tests setup_and_quality Build PR Documentation on: pull_request 3 build / build_pr_documentation CircleCI Checks / setup_and_quality succeeded Aug 30, 2024 in 4m 1s Workflow: setup_and_quality View CircleCI...