TensorFlow OpenCL/SYCL

	A	B	C	D	E
1	Topics	Items	Who	Status	Notes
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3	Add support for OpenCL to Eigen Tensors
4		Detailed plan	Codeplay, Benoit Steiner	Ongoing
5		First implementation	Codeplay, Benoit Steiner	Done
6		Complete Implementation		In progress	See the Eigen Tensors sheet for detailed list of items
7		Regression Tests		In progress
8		Benchmarks		In progress
9		Extend CMakefile to support the SYCL SDK		Done
10		Upstream to Eigen	Benoît Steiner	Done
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13	TensorFlow OpenCL extensions
14		Create TensorFlow OpenCL device	Benoit Steiner / Codeplay	Done
15		Create OpenCL version of the TensorFlow kernels		In progress	See the TensorFlow Kernels sheet for detailed list of items
16		Extend build system to support OpenCL/SYCL		Done
17		Extend regression tests to target OpenCL/SYCL		Done
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20	Build Systems	cmake for tensors in Eigen (using ComputeCpp)	Codeplay	Done
21		cmake for tensors in Eigen (using triSYCL)	Xilinx, Anastasios Doumoulakis	Working, waiting for merge with upstream	Ubuntu 17.04
22		bazel for TensorFlow (using ComputeCpp)	Codeplay	Done	Works on Ubuntu
23		bazel for TensorFlow (using triSYCL)	Xilinx, Anastasios Doumoulakis	In progress	Ubuntu 17.04
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26	Automated Builds / Tests
27		Add OpenCL hardware to the test cluster	Gunhan, Benoit Steiner	Done	2x Fiji and Hawaii AMD GPUs available
28		Setup Jenkins for TensorFlow + ComputeCPP	Gunhan	Done	Build results available at http://ci.tensorflow.org/view/All/job/tensorflow-opencl/
29		Setup Ubuntu 16.10 machine / GCC 6.2 / CLang 3.9 triSYCL	Xilinx, Anastasios Doumoulakis
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32	Optimized OpenCL library for convolutions				Can we reuse one of existing libraries (e.g. clBLAS) ?
33		Inference	Fabian Tschopp, ?		Can make standalone Greentea-libDNN for TensorFlow, additional support or other convolution libraries are welcome
34		Gradients	Fabian Tschopp, ?		Currently available in libDNN as atomic (non-deterministic) and serialized backward pass. Needs additional verification on gradient stability.
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36	Release
37		Create docker container
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