AssertionError: Invalid deviceid AI代码助手复制代码 仔细检查后发现原来服务器有多个GPU,当时开启了两个进行加速运算。 net1= nn.DataParallel(net1, device_ids=[0,1]) AI代码助手复制代码 而本地台式机只有一个GPU,调用数量超出所以报错。 改为 net1= nn.DataParallel(net1, device_ids=[0]) AI代码助手...
os.environ['CUDA_VISIBLE_DEVICES'] ='4, 5' 3. 设置 device_ids model = torch.nn.DataParallel(model, device_ids=[4, 5]).cuda() 然后就可以顺利使用多个 gpu 来跑模型啦,如果不按照上述几步来做,会报以下错误: AssertionError: Invalid device id 如何kill 掉 vscode 仍然在跑的程序进程 今天跑模...
1,RuntimeError: CUDA error: device-side assert triggered 使用pytorch的时候报这个错误说明你label中有些指不在[0, num classes), 区间左闭右开。比如类别数num_class=3, 你的label出现了-1或者3, 4, 5等!!! 2.RuntimeError:invalid argument 5:k not in range for dimension at /pytorch/ate ......
下载完成之后,命令行却出现 InvalidArchiveError("Error with archive /home/xiaoyawang/anaconda3/pkgs/pytorch-1.8.0-py3.7_cuda10.2_cudnn7.6.5_0.tar.bz2. You probably need to delete and re-download or re-create this file. Message from libarchive was:\n\nFailed to create dir 'lib/python3.7/s...
torch_npu/csrc/core/npu/sys_ctrl/npu_sys_ctrl.cpp:120 NPU error, error code is 507008 [Error]: Failed to obtain the SOC version. Rectify the fault based on the error information in the ascend log. EE1001: The argument is invalid.Reason: rtGetDevMsg execute failed, reason=[context ...
static void *THCudaHostAllocator_malloc(void* ctx, ptrdiff_t size) {void* ptr; if (size < 0) THError("Invalid memory size: %ld", size); if (size == 0) return NULL; THCudaCheck(cudaMallocHost(&ptr, size)); return ptr;} 代码摘自（THCAllocator.c：https://github.com/pytorch...
return [_get_device_attr(lambda m: m.get_device_properties(i)) for i in device_ids] File "/usr/local/lib/python3.7/dist-packages/torch/cuda/init.py", line 312, in get_device_properties raise AssertionError("Invalid device id")
if(size <0) THError("Invalid memory size: %ld", size); if(size ==0)returnNULL; THCudaCheck(cudaMallocHost(&ptr, size)); returnptr; } 代码摘自(THCAllocator.c:https://github.com/pytorch/pytorch/blob/master/aten/src/THC/THCAllocator.c#L3) ...
[Error]: Invalid device ID. Check whether the device ID is valid. EE1001: The argument is invalid.Reason: Set device failed, invalid device, set device=1, valid device range is [0, 1) Solution: 1.Check the input parameter range of the function. 2.Check the function invocation relationsh...
if(size < 0) THError( "Invalid memory size: %ld", size); if(size == 0) returnNULL; THCudaCheck(cudaMallocHost(&ptr, size)); returnptr; } 代码摘自(THCAllocator.c:https:///pytorch/pytorch/blob/master/aten/src/THC/THCAllocator.c#L3) ...