pytorch-directml 1.8.0a0.dev220506
0
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contents
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Stars: 2194, Watchers: 2194, Forks: 292, Open Issues: 215The microsoft/DirectML
repo was created 5 years ago and the last code push was 2 days ago.
The project is very popular with an impressive 2194 github stars!
How to Install pytorch-directml
You can install pytorch-directml using pip
pip install pytorch-directml
or add it to a project with poetry
poetry add pytorch-directml
Package Details
- Author
- Microsoft Corporation
- License
- BSD-3
- Homepage
- https://github.com/microsoft/directml
- PyPi:
- https://pypi.org/project/pytorch-directml/
- GitHub Repo:
- https://github.com/microsoft/directml
Classifiers
- Scientific/Engineering
- Scientific/Engineering/Artificial Intelligence
- Scientific/Engineering/Mathematics
- Software Development
- Software Development/Libraries
- Software Development/Libraries/Python Modules
Related Packages
Errors
A list of common pytorch-directml errors.
Code Examples
Here are some pytorch-directml
code examples and snippets.
GitHub Issues
The pytorch-directml package has 215 open issues on GitHub
- RuntimeError: don't know how to restore data location of torch.FloatStorage
- receiving this error
- Bump pillow from 7.0.0 to 9.0.0 in /TensorFlow/squeezenet/src
- Could not run 'aten::_embedding_bag' on RX 6900 XT
- Will Pytorch-DirectML support automatic mixed precision in the future?
- How to use pytorch-directml in torch.nn?
- importlib_metadata.version("torch") does not work
- resnet50 tutorial failed for me
- argmax function cause error (pytorch-directml)
- .to('dml') not working
- Could not run 'aten::index_select' on RX 6700
- onnxruntime-directml slower than onnxruntime cpu
- [pytorch-dml] Torch Transfomer
- Why does directml not focus on onnxruntime but tensorflow?
- Bump opencv-python from 4.1.1.26 to 4.2.0.32 in /TensorFlow/yolov3