tensorflow - machine learning framework

	Commit message (Collapse)	Author	Age
*	Move from deprecated self.test_session() to self.cached_session().	A. Unique TensorFlower	2018-08-22
\| \| \| \| \| \| \| \|	self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209837298
*	Import package xla_test instead of class XLATestCase.	A. Unique TensorFlower	2018-06-28
\| \| \| \|	PiperOrigin-RevId: 202572322
*	Implements MaxPoolGradGrad in tf2xla using bitwise trickery. Further detail ↵	Brian Patton	2018-03-06
\| \| \| \| \| \| \| \|	covered by a comment inside pooling_ops.cc. Retains 32 bits of gradient precision, but can confuse the backprop source for input cells that are equally maximal at 16 bits. We could in principle be accurate up to 31 bits of input, if we were willing to find gradients one bit at a time, or 24 bits of input 8 gradient bits at a time, etc. PiperOrigin-RevId: 188025278
*	Removing underscore prefixes from hidden generated Python functions.	Anna R	2018-02-28
\| \| \| \|	PiperOrigin-RevId: 187386941
*	[TF:XLA] Relax numeric tolerances of some tests.	Peter Hawkins	2017-07-19
\| \| \| \|	PiperOrigin-RevId: 162505321
*	Initial open-source release of XLA: Accelerated Linear Algebra.	Peter Hawkins	2017-01-09
	XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941