Comments (4)
A new problem, the following error occurred: OSError: [Errno] Invalid argument: ' 17-Apr-19-17:58:11-gpu_mem_track.txt '
from pytorch-memory-utils.
Maybe your path is wrong. Did you run this code in windows?
from pytorch-memory-utils.
I have solved this problem and can run under Windows. Thank you very much for the code you provided.
from pytorch-memory-utils.
Prerequisite:
1、ubuntu 16
2、This command has been executed.
pip install nvidia-ml-py3
I also have the same problem, originally a hint:
ModuleNotFoundError: No module named 'gpu_mem_track'
Later I cloned your github code and solved the above problem.
However, the following problems have occurred:
Is it that I am using it incorrectly?
from pytorch-memory-utils.
Related Issues (20)
- Already installed the nvidia-ml-py3, but still no module named 'gpu_mem_track' on Ubuntu HOT 3
- Always show the first gpu? HOT 1
- Can you add the feature of printing variable's name
- Could I use this in Windows? HOT 1
- The Total Used Memory stays unchanged among .py files HOT 1
- memory info doesn't match HOT 3
- No detailed use info, only Total Tensor Used Memory HOT 1
- Is the value different from the nvidia-smi? HOT 3
- OSError HOT 2
- A problem when I training network
- The program is running normally when Total Tensor Used Memory is larger than Total Allocated Memory, why?
- How to perform distributed graphics card memory tracking
- torch.short memory consumption
- How to check the memory of the others?
- '__file__' is incompatible with interactive python HOT 1
- A question about the use of the code you provide
- .txt in Ubuntu 16.04 HOT 2
- How to use it in other .py file?
- Can this work with CPU?
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from pytorch-memory-utils.