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CHANGE: all image and label tensors must be provided as numpy tensors now, array.array no longer valid input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 11.3.0alpha1
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-11.3.0alpha1.tar.gz | 156.6 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| DeepCL-11.3.0alpha1-py3.4-linux-x86_64.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.3.0alpha1-py3.4-linux-i686.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.3.0alpha1-py2.7-linux-x86_64.egg | Legacy Egg format | - | - | Details |
| DeepCL-11.3.0alpha1-py2.7-linux-i686.egg | Legacy Egg format | - | - | Details |
Total release size: 2.3 MB
Release files / DeepCL-11.3.0alpha1.tar.gz
| Download URL | DeepCL-11.3.0alpha1.tar.gz |
|---|---|
| Size | 156.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3cf898ecf1b723164eb3f23ffa9c65a146d2484fc533602544e02353084f8d7d
|
|
BLAKE2b-256 checksum How to use checksums |
68086ce4e760af5f79b3ed0bd0b418f0c4d0ac78ba2c0f6fc6f867b0962deaf7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.3.0alpha1-py3.4-linux-x86_64.egg
| Download URL | DeepCL-11.3.0alpha1-py3.4-linux-x86_64.egg |
|---|---|
| Size | 583.5 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
39a8b2604a9e31e87b8d3f7cb5104b286a61c205017a6d8d7a04bf13622d19e2
|
|
BLAKE2b-256 checksum How to use checksums |
435fa87a590c49f2c4f5c7757f838abc66dd29aba23864f166c901339fe72da5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.3.0alpha1-py3.4-linux-i686.egg
| Download URL | DeepCL-11.3.0alpha1-py3.4-linux-i686.egg |
|---|---|
| Size | 544.6 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
81e5628841b69ff8d1fbe2c612860cf242dfdda405c4483cc5c1dc0eccdcc497
|
|
BLAKE2b-256 checksum How to use checksums |
50552ab6b64375067c0de6b05c2d5caaef1c6768505f1c0411b8eac028036d51
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.3.0alpha1-py2.7-linux-x86_64.egg
| Download URL | DeepCL-11.3.0alpha1-py2.7-linux-x86_64.egg |
|---|---|
| Size | 543.8 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
afc85cf314a36169d1cf324e4df2d6a2acd83f5d0307f6862fb3e8598be362cb
|
|
BLAKE2b-256 checksum How to use checksums |
12731add040986dec6c1999d671f0f835e97c7b4014c312b2ba803aaa0225cbb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / DeepCL-11.3.0alpha1-py2.7-linux-i686.egg
| Download URL | DeepCL-11.3.0alpha1-py2.7-linux-i686.egg |
|---|---|
| Size | 506.1 kB |
| Tags | Egg |
|
SHA-256 checksum How to use checksums |
2d5a61b6980d9ae636a6f7a0e76511eae7631c106586d8853d804d47ea21feea
|
|
BLAKE2b-256 checksum How to use checksums |
22a35d60d6942874e09128f39aa7159d8150429d362814bbcb71305d13815c99
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for DeepCL 11.3.0alpha1
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.