Pre-release
This release is a pre-release and may not be stable for production use.
bte-pytorch
Fully Differentiable Boltzmann Transport Equation solver in PyTorch
Supported Algorithms
Only support D1V1,D1V2,D1V3 now.
- DVM
- space: 1,2,WENO5
- time: RK1/2/3,IMEX-RK1/2/3,...
- collision: BGK, Binary
- Grad
- ...
- 13 Moment Equation
Installation
pip install bte-pytorch
Usage
run the examples in ./examples/
Release files for bte-pytorch 0.0.1.5rc0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bte-pytorch-0.0.1.5rc0.tar.gz | 70.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bte_pytorch-0.0.1.5rc0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 114.7 kB
Release files / bte-pytorch-0.0.1.5rc0.tar.gz
| Download URL | bte-pytorch-0.0.1.5rc0.tar.gz |
|---|---|
| Size | 70.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.27.1
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Release files / bte_pytorch-0.0.1.5rc0-py3-none-any.whl
| Download URL | bte_pytorch-0.0.1.5rc0-py3-none-any.whl |
|---|---|
| Size | 44.0 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 |
python-requests/2.27.1
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