====================
This directory and nested files contain MXNet Python package and language binding.
## Installation
To install MXNet Python package, visit MXNet [Install Instruction](http://mxnet.incubator.apache.org/install/index.html)
## Running the unit tests
For running unit tests, you will need the [nose PyPi package](https://pypi.python.org/pypi/nose). To install:
```bash
pip install --upgrade nose
```
Once ```nose``` is installed, run the following from MXNet root directory (please make sure the installation path of ```nosetests``` is included in your ```$PATH``` environment variable):
```
nosetests tests/python/unittest
nosetests tests/python/train
```
Home-page: https://github.com/apache/incubator-mxnet
Author: UNKNOWN
Author-email: UNKNOWN
License: UNKNOWN
Description: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Other
Classifier: Programming Language :: Perl
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
This directory and nested files contain MXNet Python package and language binding.
## Installation
To install MXNet Python package, visit MXNet [Install Instruction](http://mxnet.incubator.apache.org/install/index.html)
## Running the unit tests
For running unit tests, you will need the [nose PyPi package](https://pypi.python.org/pypi/nose). To install:
```bash
pip install --upgrade nose
```
Once ```nose``` is installed, run the following from MXNet root directory (please make sure the installation path of ```nosetests``` is included in your ```$PATH``` environment variable):
```
nosetests tests/python/unittest
nosetests tests/python/train
```
Home-page: https://github.com/apache/incubator-mxnet
Author: UNKNOWN
Author-email: UNKNOWN
License: UNKNOWN
Description: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: C++
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Other
Classifier: Programming Language :: Perl
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Metadata
Release files for mxnet-tensorrt-cu90 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mxnet_tensorrt_cu90-1.3.0.5-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
| mxnet_tensorrt_cu90-1.3.0.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
| mxnet_tensorrt_cu90-1.3.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 193.3 MB
Release files / mxnet_tensorrt_cu90-1.3.0.5-py2.py3-none-any.whl
| Download URL | mxnet_tensorrt_cu90-1.3.0.5-py2.py3-none-any.whl |
|---|---|
| Size | 79.8 MB |
| Tags | Python 2 Python 3 |
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No |
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|
Release files / mxnet_tensorrt_cu90-1.3.0.2-py2.py3-none-any.whl
| Download URL | mxnet_tensorrt_cu90-1.3.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 58.7 MB |
| Tags | Python 2 Python 3 |
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|
Release files / mxnet_tensorrt_cu90-1.3.0.1-py2.py3-none-any.whl
| Download URL | mxnet_tensorrt_cu90-1.3.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 54.9 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.3
|