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
numpy
To install from pip
pip install --upgrade DeepCL
related 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)
For examples of using lower-level entrypoints, see test_lowlevel.py:
creating layers directly
running epochs and forward/backprop directly
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
numpy installed
To install:
cd python
python setup.py install
Changes
30 July 2016:
Added net.getNetdef(). Note that this is only an approximate representation of the network
29 July 2016:
New feature: can provide image tensor as 4d tensor now ,instead of 1d tensor (1d tensor ok too)
CHANGE: all image and label tensors must be provided as numpy tensors now, array.array no longer valid input
bug fix: qlearning works again :-)
25 July 2016:
added RandomSingleton class, to set the seed for weights initialization
added xor.py example
Metadata
Release files for DeepCL 11.2.2alpha1
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-11.2.2alpha1.tar.gz | 156.6 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| DeepCL-11.2.2alpha1-py3.4-linux-x86_64.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.2.2alpha1-py3.4-linux-i686.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.2.2alpha1-py2.7-linux-x86_64.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.2.2alpha1-py2.7-linux-i686.egg | Legacy Egg format | - | - | Details |
Total release size: 2.3 MB
Release files / DeepCL-11.2.2alpha1.tar.gz
| Download URL | DeepCL-11.2.2alpha1.tar.gz |
|---|---|
| Size | 156.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
95eea07706a3382de796319169fd8fd4b2dfc2b7a03f5386b39d586c8a96f348
|
|
BLAKE2b-256 checksum How to use checksums |
f9eae2628326d8f3d83736d27e2418de9309dfdb282ae3b76015ec7fd9c8d49b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.2.2alpha1-py3.4-linux-x86_64.egg
| Download URL | DeepCL-11.2.2alpha1-py3.4-linux-x86_64.egg |
|---|---|
| Size | 583.5 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
5e0f6db6d34961fb346ee142ffc4874b4d3867dd94ee0a5eb0a8baa2c34615e0
|
|
BLAKE2b-256 checksum How to use checksums |
322cd848e39ea50471cf5b4632cef2973c1432932cc13716b3e55a81c8e7b485
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.2.2alpha1-py3.4-linux-i686.egg
| Download URL | DeepCL-11.2.2alpha1-py3.4-linux-i686.egg |
|---|---|
| Size | 544.6 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
d4722137de9086505aaf7fc8c5880bbe1bb6188db8e5a630fb0285e8510041d1
|
|
BLAKE2b-256 checksum How to use checksums |
e5e8a63ddffaf997302e41d3680503ed3045c740b80f0080126a10333e2d1391
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.2.2alpha1-py2.7-linux-x86_64.egg
| Download URL | DeepCL-11.2.2alpha1-py2.7-linux-x86_64.egg |
|---|---|
| Size | 543.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
cfec9b3e07731d374b83ea6bc3cd10cfb6eecd5037306ed71c4fa1e32d6823ba
|
|
BLAKE2b-256 checksum How to use checksums |
896fcdeadf5f448b284beeecda84614c21856dae8646cf0528960e35c22fdea4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.2.2alpha1-py2.7-linux-i686.egg
| Download URL | DeepCL-11.2.2alpha1-py2.7-linux-i686.egg |
|---|---|
| Size | 506.1 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
8e717adf4afda21a43a478860448858f74e1aa6c7c443bf364e60f1974456218
|
|
BLAKE2b-256 checksum How to use checksums |
8b1d8cfc7ea1e0e8399224030cd5ec5b7099ff8b85063d3ac5b63ef251fe7bfd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for DeepCL 11.2.2alpha1
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.