This release is a pre-release and may not be stable for production use.
Python wrapper for DeepCL
Pre-requisites
You must have first installed and activated DeepCL native libraries, see Build.md
To install from pip
pip install --pre --upgrade DeepCLrelated pypi page: https://pypi.python.org/pypi/DeepCL
How to use
See test_deepcl.py for an example of:
creating a network, with several layers
loading mnist data
training the network using a higher-level interface (NetLearner)
The same example, using numpy arrays: test_deepcl_numpy.py
For examples of using lower-level entrypoints, see test_lowlevel.py:
creating layers directly
running epochs and forward/backprop directly
note that you need numpy installed to run this example
For example of using q-learning, see test_qlearning.py.
To install from source
Pre-requisites:
on Windows:
Python 2.7 or Python 3.4
A compiler:
Python 2.7 build: need Visual Studio 2008 for Python 2.7 from Microsoft
Python 3.4 build: need Visual Studio 2010, eg Visual C++ 2010 Express
on linux:
Python 2.7 or Python 3.4
g++, supporting c++0x, eg 4.4 or higher
have first already built the native libraries, see Build.md
have activated the native library installation, ie called dist/bin/activate.sh, or dist/bin/activate.bat
To install:
cd python
python setup.py install1 maintainer
Metadata
1 maintainer
Release files for DeepCL 8.3.2alpha4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| DeepCL-8.3.2alpha4.tar.gz | 145.2 kB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| DeepCL-8.3.2alpha4-py3.4-linux-i686.egg | Legacy Egg format | - | - | Details |
| DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg | Legacy Egg format | - | - | Details |
| DeepCL-8.3.2alpha4-py2.7-linux-i686.egg | Legacy Egg format | - | - | Details |
Total release size: 1.6 MB
Release files / DeepCL-8.3.2alpha4.tar.gz
| Download URL | DeepCL-8.3.2alpha4.tar.gz |
|---|---|
| Size | 145.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c3f907df2c134398c278fb8ac293f3f2ac03e1a31697880c10996e909a3a60fe
|
|
BLAKE2b-256 checksum How to use checksums |
384868d0724f2b9a2270ed11a8484a09a85c08004c90efbf858f56ba7847481e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-8.3.2alpha4-py3.4-linux-i686.egg
| Download URL | DeepCL-8.3.2alpha4-py3.4-linux-i686.egg |
|---|---|
| Size | 493.7 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
40a5d675dd145db0fd1d6f66ed6d3b0bceea7c54164753cb4148ddfc0634f58c
|
|
BLAKE2b-256 checksum How to use checksums |
3d65e6133ffdea4c0be306c7d21fdee2083686f878b1e5d61ed121acdee53265
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg
| Download URL | DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg |
|---|---|
| Size | 482.1 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
af4749f2c091e88b666293bdcd65df5ed6c0afb774cbd7a101385f7b15f8000d
|
|
BLAKE2b-256 checksum How to use checksums |
42c785228a0b9ecf13c3e71bcf155ee40f3d97cabb0da382a1dd7aa0f51ad2e2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-8.3.2alpha4-py2.7-linux-i686.egg
| Download URL | DeepCL-8.3.2alpha4-py2.7-linux-i686.egg |
|---|---|
| Size | 460.9 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
d272009a285541940da09dffea412badf387cccbc9dea42a8b9fd8b2bcff42a3
|
|
BLAKE2b-256 checksum How to use checksums |
a0120318b654933d13050c2069c653e0411c03a3058a36649fbde895be0b68a4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for DeepCL 8.3.2alpha4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
