Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

DeepCL Python wrappers

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

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:

  • 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  • CHANGE: all image and label tensors must be provided as numpy tensors now, array.array no longer valid input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 11.2.0alpha1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for DeepCL 11.2.0alpha1
File Size Uploaded Provenance Actions
DeepCL-11.2.0alpha1.tar.gz 156.6 kB Without provenance Details for DeepCL-11.2.0alpha1.tar.gz

Built distributions (wheels)

Table of built distributions (wheels) for DeepCL 11.2.0alpha1
File Actions
DeepCL-11.2.0alpha1-py3.4-linux-x86_64.egg Legacy Egg format - - Details for DeepCL-11.2.0alpha1-py3.4-linux-x86_64.egg
DeepCL-11.2.0alpha1-py3.4-linux-i686.egg Legacy Egg format - - Details for DeepCL-11.2.0alpha1-py3.4-linux-i686.egg
DeepCL-11.2.0alpha1-py2.7-linux-x86_64.egg Legacy Egg format - - Details for DeepCL-11.2.0alpha1-py2.7-linux-x86_64.egg
DeepCL-11.2.0alpha1-py2.7-linux-i686.egg Legacy Egg format - - Details for DeepCL-11.2.0alpha1-py2.7-linux-i686.egg

Total release size: 2.3 MB

Release files / DeepCL-11.2.0alpha1.tar.gz

Download URL DeepCL-11.2.0alpha1.tar.gz
Size 156.6 kB
Tags Source
SHA-256 checksum
How to use checksums
1e8e39c9952735b9df6344004197a4e47b7ad70e034156f6b6f9dd2ea40868be
BLAKE2b-256 checksum
How to use checksums
a6807a4ff2000fbe58de5f4e79f39129a9413aea5735aeab93090d768ddc566e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / DeepCL-11.2.0alpha1-py3.4-linux-x86_64.egg

Download URL DeepCL-11.2.0alpha1-py3.4-linux-x86_64.egg
Size 583.5 kB
Tags Egg
SHA-256 checksum
How to use checksums
4a0be497b1311964f067b56f318412f941b30a985e27bff5699d7df4d5158984
BLAKE2b-256 checksum
How to use checksums
1482554d66106ad71981e1241b5960481329f6b9d874044f1e586b3df16bb830
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / DeepCL-11.2.0alpha1-py3.4-linux-i686.egg

Download URL DeepCL-11.2.0alpha1-py3.4-linux-i686.egg
Size 544.6 kB
Tags Egg
SHA-256 checksum
How to use checksums
42e33097a9e6b857f049bbf4b209e798011c2f26edf635a8ef8365b4b880ff87
BLAKE2b-256 checksum
How to use checksums
4b9ac51f984d7ff5943be5101c6521575112d26035facc0e2373115713e7de7c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / DeepCL-11.2.0alpha1-py2.7-linux-x86_64.egg

Download URL DeepCL-11.2.0alpha1-py2.7-linux-x86_64.egg
Size 543.8 kB
Tags Egg
SHA-256 checksum
How to use checksums
608b3c5d3e957b6c219185c77e3cca4ef9aa15f33d01db092715c6df02751c06
BLAKE2b-256 checksum
How to use checksums
adb414c616cefbdb20d64309e8e8b5519bc814618e7ae651d6b281702b0d58e4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / DeepCL-11.2.0alpha1-py2.7-linux-i686.egg

Download URL DeepCL-11.2.0alpha1-py2.7-linux-i686.egg
Size 506.1 kB
Tags Egg
SHA-256 checksum
How to use checksums
7bd09425d8e3e478c22c5fa6960b964abdb3e4c811de4bf5f0961fcc688081bc
BLAKE2b-256 checksum
How to use checksums
538782c5d8c5d233844dd9b9e9a4f0b4c261e289f2baffc6e665852cc2ea4acc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for DeepCL 11.2.0alpha1

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.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page