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OpenCL 1.2 implementation for Tensorflow
| Date | Stars |
|---|---|
| 2026-07-24 | 795 |
| 2026-07-25 | 795 |
| 2026-07-28 | 795 |
| 2026-07-30 | 795 |
| 2026-08-06 | 795 |
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# Tensorflow-cl
Run [Tensorflow](https://github.com/tensorflow/tensorflow) on OpenCL™ 1.2 devices
- tested on:
- Mac Sierra using Radeon Pro 450 GPU (thank you [ASAPP](http://asapp.com) :-) )
- Ubuntu 16.04, using NVIDIA K520
- should work theoretically on any OpenCL 1.2 GPU
## Piccie
On a Mac:
<img src="doc/img/multilayerperceptron.png" />
## Execution speed
- [Execution speed](doc/execution_speed.md)
## What's working
- [What's working](doc/whats_working.md)
## Installation
- [Installation](doc/installation.md)
## Tests
- [Tests](doc/testing.md)
## Design/architecture
- tensorflow code stays 100% [NVIDIA® CUDA™](https://www.nvidia.com/object/cuda_home_new.html)
- [Coriander](https://github.com/hughperkins/Coriander) compiles the NVIDIA® CUDA™ code into OpenCL
- Cedric Nugteren's [CLBlast](https://github.com/CNugteren/CLBlast) provides BLAS (matrix multiplications)
Presentation on [Coriander](https://github.com/hughperkins/Coriander) at this year's [IWOCL 2017](http://www.iwocl.org/iwocl-2017/conference-program/)
## Related projects
- [OpenCL Torch](https://github.com/hughperkins/distro-cl)
- [DeepCL](https://github.com/hughperkins/DeepCL)
## News
- June 11 2017:
- set up Jenkins build, which makes build logs and a Ubuntu 16.04 wheel available for certain commits, https://github.com/hughperkins/tf-coriander/commits/example-jenkins-builds (click on one of the green ticks)
- June 7 2017:
- created [v0.18.3](https://github.com/hughperkins/tf-coriander/releases/tag/v0.18.3) release:
- `tf.split` enabled
- following examples from Aymeric Damien's [Tensorflow-Examples](https://github.com/aymericdamien/TensorFlow-Examples) run now:
- [recurrent_network.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/recurrent_network.py)
- [bidirectional_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/bidirectional_rnn.py)
- [dynamic_rnn.py](https://github.com/hughperkins/TensorFlow-Examples/blob/enforce-gpu/examples/3_NeuralNetworks/dynamic_rnn.py)
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:bd9be4dea1ebeb6f, topic:gpu
matched fp:bd9be4dea1ebeb6f, topic:tensorflow