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python wrapper for DeepCL deep convolutional neural network library for OpenCL

Project description

Python wrapper for DeepCL


  • You must have first installed and activated DeepCL native libraries, see
  • numpy

To install from pip

pip install --upgrade DeepCL

How to use

See 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

  • creating layers directly
  • running epochs and forward/backprop directly

For example of using q-learning, see

To install from source


  • 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
  • have activated the native library installation, ie called dist/bin/, or dist/bin/activate.bat
  • numpy installed

To install:

cd python
python install


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  • CHANGE: all image and label tensors must be provided as numpy tensors now, array.array no longer valid input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

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Files for DeepCL, version 10.2.0alpha2
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