The Solver for PyTorch
The code can be used for training/testing PyTorch models. It is used in the
O-CNN and my daily experiments.
It is similar to pytorch-lightning, but with much simpler implementations.
It can be installed via pip and used as a library:
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Install via the following command:
pip install thsolver
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Alternatively, install from the source code via the following commands.
git clone https://github.com/octree-nn/solver-pytorch.git pip install ./solver-pytorch
Welcome to use it and give me feedbacks via github issues or pull requests. Thanks!
1 maintainer
Metadata
1 maintainer
Release files for thsolver 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| thsolver-1.2.1.tar.gz | 13.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| thsolver-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.0 kB
Release files / thsolver-1.2.1.tar.gz
| Download URL | thsolver-1.2.1.tar.gz |
|---|---|
| Size | 13.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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Release files / thsolver-1.2.1-py3-none-any.whl
| Download URL | thsolver-1.2.1-py3-none-any.whl |
|---|---|
| Size | 15.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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