High Performance Communication Library (HPCOM)
Installation
Requires
tensorflow, tensorflow-gpu, numpy, scipy
and additional package for fast signal propagation calculation
pip install hpcom
Local installation
If for some reason you need to install package locally, you can use wheel file for package
pip install wheel
pip install wheel_file.whl # directly install the wheel
or use alternative command
python -m wheel install wheel_file.whl
1 maintainer
Release files for hpcom 0.1.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hpcom-0.1.13.tar.gz | 69.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hpcom-0.1.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 126.6 kB
Release files / hpcom-0.1.13.tar.gz
| Download URL | hpcom-0.1.13.tar.gz |
|---|---|
| Size | 69.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Release files / hpcom-0.1.13-py3-none-any.whl
| Download URL | hpcom-0.1.13-py3-none-any.whl |
|---|---|
| Size | 57.3 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
