Comments (3)
The newest package is not uploaded to pip yet.
Can you plz try install from source via
pip install git+https://github.com/stonesjtu/pytorch_memlab
from pytorch_memlab.
I just uploaded the current master to PyPI. you can try to update the package by pip install -U pytorch_memlab
.
Can you please verify if the problem exists with the newest package?
from pytorch_memlab.
Should be fixed, I'm closing this issue.
Please feel free to re-open if the problem still exists with the newest release.
from pytorch_memlab.
Related Issues (20)
- Variable 'tensor_names' referenced before assignment HOT 1
- Redirect report() to the file HOT 3
- sparse tensors do not have storage HOT 1
- Documentation for pl.LightningModule that includes many nn.Modules HOT 6
- Fail to install using pip HOT 4
- Request: solving the lack of incremental reporting in loops / functions HOT 2
- Error when running on Colab CPU instance HOT 8
- turn profile decorator on and off HOT 2
- Jupyter Support Issues HOT 1
- Does not work with torch 1.7.1+ HOT 1
- is PyTorch Profiler Used Internally? HOT 3
- weakly-referenced object no longer exists HOT 2
- Question about Used Memory and GPU memory HOT 3
- Naming Tensors within MemReporter HOT 1
- OSError: could not get source code when running LineProfiler HOT 2
- What's the difference between `active_bytes` and `reserved_bytes`? HOT 3
- How to get memory diff between first and second batch? HOT 1
- Nor working HOT 4
- How do I record the maximum memory usage of a script?
- KeyError: "['XXX'] not in index" HOT 1
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