aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/contrib/compiler
Commit message (Collapse)AuthorAge
* Disable summary ops from lower-level xla.compile API rather than ↵Gravatar Yanan Cao2018-09-27
| | | | | | xla.estimator_model_fn PiperOrigin-RevId: 214860981
* Update BUILD files so that Estimator code depends on TF thru tf_no_contrib.Gravatar Michael Case2018-09-25
| | | | PiperOrigin-RevId: 214541221
* Internal changesGravatar Yanan Cao2018-09-22
| | | | PiperOrigin-RevId: 214096165
* Add back xla_test, which was deleted by mistake earlierGravatar Yanan Cao2018-09-22
| | | | PiperOrigin-RevId: 214094266
* xla.estimator_model_fn can be used to decorate a model_fn written for ↵Gravatar Yanan Cao2018-09-21
| | | | | | estimator API in order to compile entire model with XLA. PiperOrigin-RevId: 214078470
* Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-09-21
| | | | | | | | 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: 213944355
* Add xla.compile(), a low-level API that compiles graph with XLA.Gravatar Yanan Cao2018-09-18
| | | | PiperOrigin-RevId: 213574904
* [TF/XLA] Add XLACompileContext that marks ops inside for XLA compilation.Gravatar Yanan Cao2018-08-27
| | | | PiperOrigin-RevId: 210424333
* Move from deprecated self.test_session() to self.session() when a graph is set.Gravatar A. Unique TensorFlower2018-08-21
| | | | | | self.test_session() has been deprecated in cl/208545396 as its behavior confuses readers of the test. Moving to self.session() instead. PiperOrigin-RevId: 209696110
* Remove _USE_C_API staging in tests now that the C API is enabled by default.Gravatar Skye Wanderman-Milne2018-05-16
| | | | | | This is in preparation for removing the _USE_C_API toggle altogether. PiperOrigin-RevId: 196920481
* For tf.gradients(), do not backpropagate through integer tensors.Gravatar A. Unique TensorFlower2018-04-26
| | | | | | | All integer tensors are now considered constant with respect to all `xs`. This fixes a bug in gradients through tf.while_loop. PiperOrigin-RevId: 194438529
* Remove all_opensource_files. It's not needed any more.Gravatar Martin Wicke2018-03-28
| | | | PiperOrigin-RevId: 190878279
* Make jit_test.py work with C API enabled.Gravatar Skye Wanderman-Milne2018-02-01
| | | | PiperOrigin-RevId: 184202470
* math_grad: Fast path for when broadcasting is not needed.Gravatar A. Unique TensorFlower2017-10-16
| | | | PiperOrigin-RevId: 172407754
* Allow Defun to inherit enclosing XLA compilation scope.Gravatar A. Unique TensorFlower2017-08-16
| | | | PiperOrigin-RevId: 165457067
* Remove the unnecessary RTLD_GLOBAL dlopen flag in the remaining tests.Gravatar Jonathan Hseu2017-03-17
| | | | Change: 150460215
* [TF:XLA] Add separate_compiled_gradients to control gradient scopes.Gravatar A. Unique TensorFlower2017-03-13
| | | | Change: 149973410
* Add _XlaScope attribute to jit_scope to avoid fusing separate adjacent fused ↵Gravatar Eugene Brevdo2017-02-10
| | | | | | | | | | | | | | blocks. Gradients get their own separate scope based on the scope of the forward op. Provide proper XlaScope for Defuns as well (each Defun gets its own scope; their gradients get their own scope). Also move jit scope gradient unit tests out of core gradients to contrib.compiler. This is just the python side that sets the attribute; the C++ changes will come in a separate CL. Change: 147216860
* Allow callable in hidden attr_scope; allow callable in ↵Gravatar Eugene Brevdo2017-01-30
| | | | | | | experimental_jit_scope that can determine when an op should be compiled. Add some unit tests of jit scope that check that compilation can be controlled using this new mechanism. Change: 146034274
* 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
* Remove hourglass imports from even more testsGravatar Justine Tunney2016-12-16
| | | | Change: 142318245
* Add experimental_jit_scope to support scoped compilation regions.Gravatar A. Unique TensorFlower2016-12-02
Change: 140860022
generated by cgit v1.2.3 (git 2.39.1) at 2024-06-03 11:13:48 +0000