Skip to main content

python wrapper for DeepCL deep convolutional neural network library for OpenCL

Project description

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 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:

  • 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 install

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DeepCL-8.3.2alpha4.tar.gz (145.2 kB view details)

Uploaded Source

Built Distributions

DeepCL-8.3.2alpha4-py3.4-linux-i686.egg (493.7 kB view details)

Uploaded Source

DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg (482.1 kB view details)

Uploaded Source

DeepCL-8.3.2alpha4-py2.7-linux-i686.egg (460.9 kB view details)

Uploaded Source

File details

Details for the file DeepCL-8.3.2alpha4.tar.gz.

File metadata

File hashes

Hashes for DeepCL-8.3.2alpha4.tar.gz
Algorithm Hash digest
SHA256 c3f907df2c134398c278fb8ac293f3f2ac03e1a31697880c10996e909a3a60fe
MD5 1f7af5ecdf063ce21594641f91489ae0
BLAKE2b-256 384868d0724f2b9a2270ed11a8484a09a85c08004c90efbf858f56ba7847481e

See more details on using hashes here.

File details

Details for the file DeepCL-8.3.2alpha4-py3.4-linux-i686.egg.

File metadata

File hashes

Hashes for DeepCL-8.3.2alpha4-py3.4-linux-i686.egg
Algorithm Hash digest
SHA256 40a5d675dd145db0fd1d6f66ed6d3b0bceea7c54164753cb4148ddfc0634f58c
MD5 b0b7618bfe523d2b13a78a7ed78d7037
BLAKE2b-256 3d65e6133ffdea4c0be306c7d21fdee2083686f878b1e5d61ed121acdee53265

See more details on using hashes here.

File details

Details for the file DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg.

File metadata

File hashes

Hashes for DeepCL-8.3.2alpha4-py2.7-linux-x86_64.egg
Algorithm Hash digest
SHA256 af4749f2c091e88b666293bdcd65df5ed6c0afb774cbd7a101385f7b15f8000d
MD5 7154abfa0baf4d8feb7a77a103122ae8
BLAKE2b-256 42c785228a0b9ecf13c3e71bcf155ee40f3d97cabb0da382a1dd7aa0f51ad2e2

See more details on using hashes here.

File details

Details for the file DeepCL-8.3.2alpha4-py2.7-linux-i686.egg.

File metadata

File hashes

Hashes for DeepCL-8.3.2alpha4-py2.7-linux-i686.egg
Algorithm Hash digest
SHA256 d272009a285541940da09dffea412badf387cccbc9dea42a8b9fd8b2bcff42a3
MD5 ce17d8b01906de195ad279af5a69a312
BLAKE2b-256 a0120318b654933d13050c2069c653e0411c03a3058a36649fbde895be0b68a4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page