tensorflow - machine learning framework

	Commit message (Collapse)	Author	Age
*	Add support for explicit fetches when creating grappler items	A. Unique TensorFlower	2018-09-27
\| \| \| \|	PiperOrigin-RevId: 214732243
*	Don't inline functions in the grappler item builder since this part of the ↵	Benoit Steiner	2018-03-16
\| \| \| \| \| \| \| \|	code doesn't support custom ops. Instead we will rely on the function optimizer. PiperOrigin-RevId: 189400462
*	Replace the unknown dimension of signature input when building grappler items.	Yuefeng Zhou	2018-03-13
\| \| \| \| \| \|	Fix the bug where same feed nodes or fetch nodes would be added more than once. PiperOrigin-RevId: 188902101
*	Don't let the grappler item builder fail if the graph contains unknown custom	Benoit Steiner	2018-03-12
\| \| \| \| \| \|	ops. PiperOrigin-RevId: 188730560
*	In Grappler item builder, support inferring fetch nodes from siganture defs.	Yuefeng Zhou	2018-02-28
\| \| \| \|	PiperOrigin-RevId: 187364078
*	Function optimization: added an optimizer to automatically inline functions ↵	Benoit Steiner	2018-02-27
\| \| \| \| \| \|	in order to enable Grappler to optimize the body of functions. Inlining also reduces the overhead of evaluating function. PiperOrigin-RevId: 187200883
*	Added support for nested functions	Benoit Steiner	2018-02-06
\| \| \| \| \| \|	Properly handle the case of control dependencies PiperOrigin-RevId: 184733444
*	Use the function name as the grappler item id	Benoit Steiner	2018-02-06
\| \| \| \|	PiperOrigin-RevId: 184704131
*	Set the type of the placeholder nodes creating when importing a function	Benoit Steiner	2018-01-11
\| \| \| \| \| \|	definition PiperOrigin-RevId: 181617501
*	Added a utility function to create a grappler item from a function definition	Benoit Steiner	2018-01-10
\| \| \| \|	PiperOrigin-RevId: 181519635
*	Fix support for functions to grappler items.	A. Unique TensorFlower	2017-12-18
\| \| \| \|	PiperOrigin-RevId: 179429486
*	Support overriding asset path;	Yuefeng Zhou	2017-08-28
\| \| \| \| \| \|	Support saved model as input; PiperOrigin-RevId: 166765212
*	Made sure that the nodes listed as feed, fetch and init_op exist in the graph.	Benoit Steiner	2017-06-14
\| \| \| \|	PiperOrigin-RevId: 159034290
*	Add flag to determine whether to do L1 optimizations and inline functions. ↵	A. Unique TensorFlower	2017-05-31
\| \| \| \| \| \|	Default is to do them. In tf_optimizer don't inline or do l1 optimizations. PiperOrigin-RevId: 157673614
*	Add GraphOptimizer to Grappler item builder to do L1 optimizations and	A. Unique TensorFlower	2017-05-26
	inlining. Op Counts Comparison (BNMT) Counts: Profile vs Grappler Op: Add, 968 vs 965 Op: AddN, 2228 vs 2228 Op: ApplyGradientDescent, 84 vs 84 Op: BatchMatMul, 998 vs 998 Op: Identity, 142 vs 105 Op: MatMul, 63 vs 63 Op: Mul, 10318 vs 10306 Op: OneHot, 1 vs 1 Op: Reshape, 8421 vs 8422 Op: Select, 488 vs 488 Op: Shape, 8132 vs 8131 Op: Sigmoid, 942 vs 942 Op: Softmax, 19 vs 19 Op: StridedSlice, 58 vs 74 Op: Sub, 1398 vs 1394 Op: Tanh, 333 vs 333 Op: Tile, 21 vs 21 Op: Transpose, 39 vs 39 PiperOrigin-RevId: 157288420