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path: root/tensorflow/compiler/xla/test_helpers.h
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* [XLA] Use absl string types and functions instead of the TF versions.Gravatar Justin Lebar2018-08-23
| | | | | | | Unfortunately this has to be one big patch, because e.g. absl::StrCat doesn't accept a TF StringPiece, but as soon as we switch to absl::string_view, we have to switch away from all of the TF functions. PiperOrigin-RevId: 209957896
* [XLA] s/tensorflow::Status/Status/.Gravatar Justin Lebar2018-05-11
| | | | | | | These are type aliases of one another; we'd like to be consistent and use the shorter one. PiperOrigin-RevId: 196322955
* Supported in this CL:Gravatar A. Unique TensorFlower2017-10-30
| | | | | | | | | | * Attaching sharding descriptors to HLO ops * Partitioning the HLO graph into per-device computations based on those sharding descriptors. * All operator support for device placement and ops replicated on all devices. * Elementwise op support for tiled shardings. * 2D Convolution support for tiled shardings (no stride or dilation support). PiperOrigin-RevId: 173946036
* Using GMock matchers in XLA tests.Gravatar A. Unique TensorFlower2017-04-11
| | | | Change: 152823724
* Initial open-source release of XLA: Accelerated Linear Algebra.Gravatar Peter Hawkins2017-01-09
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