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path: root/tensorflow/compiler/tests/nary_ops_test.py
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* Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | 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.Gravatar A. Unique TensorFlower2018-06-28
| | | | PiperOrigin-RevId: 202572322
* [XLA:CPU] [XLA:GPU] Adds compiler support for C64 primitive type, including ↵Gravatar A. Unique TensorFlower2017-10-27
| | | | | | | | | | relevant elementwise unary and binary op lowering for CPU and GPU. We use a named LLVM struct "complex64", laid out the same as std::complex<float>. This named struct is accessed via the llvm::Module, which required changes to accessors of PrimitiveTypeToIrType & friends. Ops that require atan2 (in particular, angle and log) are only supported on GPU at this point. LLVM lacks a CPU intrinsic for atan or atan2, whereas libdevice provides this for GPU. PiperOrigin-RevId: 173676849
* [TF:XLA] Mark IdentityN as CompilationOnly().Gravatar Peter Hawkins2017-10-04
| | | | PiperOrigin-RevId: 171025171
* [TF:XLA] Add IdentityN operator.Gravatar A. Unique TensorFlower2017-10-02
| | | | PiperOrigin-RevId: 170754745
* Merge changes from github.Gravatar A. Unique TensorFlower2017-04-04
| | | | Change: 152200430
* [TF:XLA] Add implementation of tf.one_hot to the XLA bridge.Gravatar Peter Hawkins2017-03-01
| | | | | Fix crash in normal OneHot kernel for depth < 0. Change: 148881102
* Switch tf.concat_v2 references in third_party/tensorflow to tf.concat.Gravatar A. Unique TensorFlower2017-01-10
| | | | Change: 144153795
* 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