tensorflow - machine learning framework

	Commit message (Expand)	Author	Age
*	[XLA] Expose a way to control dot/conv precision	David Majnemer	2018-08-22
*	Don't call into Eigen unless the input and output tensors are aligned	Sanjoy Das	2018-05-09
*	[XLA] Separate input and output spatial dimensions for convolution	David Majnemer	2017-11-27
*	[XLA] Canonicalize convolutions which are potentially lowered to Eigen calls	David Majnemer	2017-11-27
*	[XLA:CPU] Handle convolutions with no spatial dims.	Justin Lebar	2017-11-20
*	Automated g4 rollback of changelist 170358888	David Majnemer	2017-10-12
*	Automated g4 rollback of changelist 170130811	David Majnemer	2017-09-28
*	[XLA] Split input and output in ConvolutionDimensionNumbers	David Majnemer	2017-09-26
*	[XLA] Remove unused xla_cpu flag and move another to DebugOptions.	Eli Bendersky	2017-06-23
*	Automated g4 rollback of changelist 159746509	Eli Bendersky	2017-06-21
*	[XLA] Remove xla_cpu_*_eigen flags from CPU backends.	Eli Bendersky	2017-06-21
*	Don't remove send, recv, or trace instructions in DCE pass. Also,	Mark Heffernan	2017-01-19
*	Initial open-source release of XLA: Accelerated Linear Algebra.	Peter Hawkins	2017-01-09