| Name | nlcpy JSON |
| Version |
3.0.1
JSON |
| download |
| home_page | https://github.com/SX-Aurora/nlcpy/ |
| Summary | NLCPy is a package for accelerating performance of Python scripts using NumPy on SX-Aurora TSUBASA. |
| upload_time | 2023-09-27 07:26:28 |
| maintainer | |
| docs_url | None |
| author | NEC |
| requires_python | <3.9,>=3.6 |
| license | BSD 3-Clause |
| keywords |
nlcpy
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# NLCPy : NumPy-like API accelerated with SX-Aurora TSUBASA
[](https://github.com/SX-Aurora/nlcpy/blob/master/LICENSE)
[](https://pepy.tech/project/nlcpy)
[](https://pypi.org/project/nlcpy/)
`NLCPy` is a library for accelerating performance of Python scripts using `NumPy` on SX-Aurora TSUBASA. Python programmers can use this library on Linux/x86 of SX-Aurora TSUBASA. NLCPy's API is designed based on NumPy's one. The current version provides a subset of NumPy's API.
## Requirements
Before the installation, the following components are required to be installed on your x86 Node of SX-Aurora TSUBASA.
- [NEC SDK](https://sxauroratsubasa.sakura.ne.jp/documents/guide/pdfs/InstallationGuide_E.pdf)
- required NEC C/C++ compiler version: >= 5.0.0
- required NLC version: >= 3.0.0
- [Alternative VE Offloading (AVEO)](https://sxauroratsubasa.sakura.ne.jp/documents/veos/en/aveo/index.html)
- required version: >= 3.0.2
- If you install NLCPy from wheel, the runtime packages of Alternative VE Offloading(AVEO) are required.
```
# yum install veoffload-aveo veoffload-aveorun-ve1 veoffload-aveorun-ve3
```
- If you install NLCPy from source, the development packages of Alternative VE Offloading(AVEO) are required.
```
# yum install veoffload-aveo-devel veoffload-aveorun-ve1-devel veoffload-aveorun-ve3-devel
```
- veosinfo3
```
# yum install veosinfo3
```
- [Python](https://www.python.org/)
- required version: 3.6, 3.7, or 3.8
- [NumPy](https://www.numpy.org/)
- required version: >= v1.17
## Install from wheel
You can install NLCPy by executing either of following commands.
- Install from PyPI
```
$ pip install nlcpy
```
- Install from your local computer
1. Download [the wheel package](https://github.com/SX-Aurora/nlcpy/releases) from GitHub.
2. Put the wheel package to your any directory.
3. Install the local wheel package via pip command.
```
$ pip install <path_to_wheel>
```
The shared objects for Vector Engine, which are included in the wheel package, are tested by using NEC C/C++ Compiler Version 5.0.0 and NumPy v1.19.5.
## Install from source (with building)
Before building source files, please install following packages.
```
$ pip install numpy cython wheel
$ sudo yum install veosinfo3-devel
$ sudo yum install veoffload-aveo-devel veoffload-aveorun-ve1-devel veoffload-aveorun-ve3-devel
```
And, entering these commands in the environment where `gcc` and `ncc` commands are available.
```
$ git clone https://github.com/SX-Aurora/nlcpy.git
$ cd nlcpy
$ python3 setup.py build_ext --targ ve1,ve3,vh
$ python3 setup.py intall --targ ve1,ve3,vh
```
## Documentation
- [NLCPy User's Guide](https://sxauroratsubasa.sakura.ne.jp/documents/nlcpy/en/index.html)
## License
The BSD-3-Clause license (see `LICENSE` file).
NLCPy is derived from NumPy, CuPy, PyVEO, and numpydoc (see `LICENSE_DETAIL/LICENSE_DETAIL` file).
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"description": "\n\n# NLCPy : NumPy-like API accelerated with SX-Aurora TSUBASA\n\n[](https://github.com/SX-Aurora/nlcpy/blob/master/LICENSE)\n[](https://pepy.tech/project/nlcpy)\n[](https://pypi.org/project/nlcpy/)\n\n\n`NLCPy` is a library for accelerating performance of Python scripts using `NumPy` on SX-Aurora TSUBASA. Python programmers can use this library on Linux/x86 of SX-Aurora TSUBASA. NLCPy's API is designed based on NumPy's one. The current version provides a subset of NumPy's API.\n\n## Requirements\n\nBefore the installation, the following components are required to be installed on your x86 Node of SX-Aurora TSUBASA.\n\n- [NEC SDK](https://sxauroratsubasa.sakura.ne.jp/documents/guide/pdfs/InstallationGuide_E.pdf)\n\t- required NEC C/C++ compiler version: >= 5.0.0\n\t- required NLC version: >= 3.0.0\n\n- [Alternative VE Offloading (AVEO)](https://sxauroratsubasa.sakura.ne.jp/documents/veos/en/aveo/index.html)\n\n - required version: >= 3.0.2\n\t- If you install NLCPy from wheel, the runtime packages of Alternative VE Offloading(AVEO) are required.\n\n ```\n # yum install veoffload-aveo veoffload-aveorun-ve1 veoffload-aveorun-ve3\n ```\n\n\t- If you install NLCPy from source, the development packages of Alternative VE Offloading(AVEO) are required.\n\n ```\n # yum install veoffload-aveo-devel veoffload-aveorun-ve1-devel veoffload-aveorun-ve3-devel\n ```\n\n- veosinfo3\n\n ```\n # yum install veosinfo3\n ```\n\n- [Python](https://www.python.org/)\n - required version: 3.6, 3.7, or 3.8\n\n- [NumPy](https://www.numpy.org/)\n - required version: >= v1.17\n\n## Install from wheel\n\nYou can install NLCPy by executing either of following commands.\n\n- Install from PyPI\n\n ```\n $ pip install nlcpy\n ```\n\n- Install from your local computer\n\n 1. Download [the wheel package](https://github.com/SX-Aurora/nlcpy/releases) from GitHub.\n\n 2. Put the wheel package to your any directory.\n\n 3. Install the local wheel package via pip command.\n\n ```\n $ pip install <path_to_wheel>\n ```\n\nThe shared objects for Vector Engine, which are included in the wheel package, are tested by using NEC C/C++ Compiler Version 5.0.0 and NumPy v1.19.5.\n\n## Install from source (with building)\n\nBefore building source files, please install following packages.\n\n```\n$ pip install numpy cython wheel\n$ sudo yum install veosinfo3-devel\n$ sudo yum install veoffload-aveo-devel veoffload-aveorun-ve1-devel veoffload-aveorun-ve3-devel\n```\n\nAnd, entering these commands in the environment where `gcc` and `ncc` commands are available.\n\n```\n$ git clone https://github.com/SX-Aurora/nlcpy.git\n$ cd nlcpy\n$ python3 setup.py build_ext --targ ve1,ve3,vh\n$ python3 setup.py intall --targ ve1,ve3,vh\n```\n\n## Documentation\n- [NLCPy User's Guide](https://sxauroratsubasa.sakura.ne.jp/documents/nlcpy/en/index.html)\n\n## License\n\nThe BSD-3-Clause license (see `LICENSE` file).\n\nNLCPy is derived from NumPy, CuPy, PyVEO, and numpydoc (see `LICENSE_DETAIL/LICENSE_DETAIL` file).\n\n\n",
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