🐾深入解析CUDA内存溢出: OutOfMemoryError: CUDA out of memory. Tried to allocate 3.21 GiB (GPU 0; 8.00 GiB total capacity; 4.19 GiB already allocated; 2.39 GiB free; 4.51 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid...
CUDA out of memory错误通常发生在GPU内存不足时,尝试分配的内存超过了GPU的可用内存。 错误分析 错误信息:out of memory error: cuda out of memory. tried to allocate 2.44 GiB. gpu 0 has 这表明程序尝试在GPU 0上分配2.44 GiB的内存,但失败了,因为GPU 0的内存不足。 解决方案 减少模型大小或批量大小:...
OutOfMemoryError:CUDA out of memory. Tried to allocate 128.00 MiB (GPU 0; 6.00 GiB total capacity; 4.33 GiB already allocated; 0 bytes free; 4.49 GiB reserved in total byPyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentati...
可以把CUDA当前的数据空间看成一个队列,队列中有两种内存——激活内存(Activate Memory)和失活内存(Unactivate Memory)。当一块内存不再被变量所引用时,这块内存就由激活内存转为失活内存,但它仍然存在于这个数据队列中。 而对于我们上面的代码,train_total_loss+=loss,其中每一步的loss都是失活内存。 解决办法:...
RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 4.00 GiB total capacity; 2.41 GiB already allocated; 5.70 MiB free; 2.56 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentatio...
爆显存:RuntimeError: CUDA out of memory. Tried to allocate 5.66 GiB (GPU 0; 12.00 GiB total capacity; 2,使用更低精度的数据类型:将模型参数和激活值从32位浮点数(float32)转换为16位浮点数(float16),可以减少显存的使用。你的
1.问题的产生原因 我的原始代码中使用了下列config设置函数 config.gpu_options.allow_growth = True 导致显存占用不断增长,直到超出gpu显存 2.网上查询的解决方案 限制显存占用上限,如下列语句所示 config.gpu_options.per_process_gpu_memory_fraction = 0.7 ...
os.environ["CUDA_VISIBLE_DEVICES"] = "0, 2, 3" 查看性能,发现NVIDIA的只有GPU1,所以改成如下: os.environ["CUDA_VISIBLE_DEVICES"] = "0" 若是不能在GPU上跑,直接改到CPU上跑,修改如下: os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
I have been experiencing an error on systems with multiple GPUs. When GPU0 is fully utilized by another process, I get RuntimeError: cuda runtime error (2) : out of memory. It seems that torch.nn.Module.cuda() transfers data not only to my specified GPU, but also GPU0, whose memory...