tensorflow - machine learning framework

	Commit message (Collapse)	Author	Age
*	Fix convolution bug when input and filter dimensions match	Jared Duke	2018-09-12
\| \| \| \| \| \| \| \| \| \| \| \| \|	TFLite has an optimized matmul path for cases where the input and filter tensors have matching width+height. However, this case doesn't properly account for multiple batches. Account for this and add an appropriate test. Credit to zgxnet for the bug and proposed fix. Fixes #21817 PiperOrigin-RevId: 212645329
*	Fixes to hybrid conv. Add additional tests for pointwise conv.	Alan Chiao	2018-08-31
\| \| \| \|	PiperOrigin-RevId: 211085787
*	Optimized hybrid convolution with symmetric quantization.	Alan Chiao	2018-08-28
\| \| \| \| \| \|	Add unit tests for multiple channels. PiperOrigin-RevId: 210567300
*	Quantized Dilated Convolution support.	Suharsh Sivakumar	2018-08-14
\| \| \| \| \| \|	Also add tests for float and quantized dilated support, which seemed to be missing. PiperOrigin-RevId: 208766032
*	Generalize the Conv() op to support input product scale > output scale, i.e.	A. Unique TensorFlower	2018-08-01
\| \| \| \| \| \| \| \| \|	output_multiplier > 1. #20451 #19607 PiperOrigin-RevId: 206983654
*	Add support to TFLite for dilated convolution.	A. Unique TensorFlower	2018-04-13
\| \| \| \|	PiperOrigin-RevId: 192770919
*	TFLite: Conv CBLAS kernel	Yu-Cheng Ling	2018-02-02
\| \| \| \|	PiperOrigin-RevId: 184328848
*	Internal change.	Anna R	2018-02-01
\| \| \| \|	PiperOrigin-RevId: 184165180
*	Test all TFLite kernel implementations (reference/optimized/...)	Yu-Cheng Ling	2018-02-01
\| \| \| \|	PiperOrigin-RevId: 184077940
*	Internal Change	A. Unique TensorFlower	2017-12-01
\| \| \| \|	PiperOrigin-RevId: 177611775
*	Internal Change.	Andrew Selle	2017-11-10
	PiperOrigin-RevId: 175307445