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* Remove unnecessary zero check from resize_bilinear_op.cc.Gravatar Brennan Saeta2016-12-15
| | | | | Additionally, update the resize_bilinear_op tests to ensure they fail with a given error. Change: 142204006
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142199921
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142198903
* Add Expm1 Op.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142198004
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142194349
* Test for CPU features on startup, to replace SIGILLs with useful errors and ↵Gravatar Pete Warden2016-12-15
| | | | | | suggest optimizations Change: 142193596
* Remove obsolete comment in tf.abs docstring. tf.abs now delegates toGravatar A. Unique TensorFlower2016-12-15
| | | | | | | | | complex_abs for complex tensors. Hide generated complex_abs kernel in preparation for deprecation. Fix a few unrelated Python linter errors that have been getting on my nerves lately. Change: 142188440
* Replace _BaseEstimatorForTest with a model_fn.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142187067
* Upgraded to the latest version of EigenGravatar Benoit Steiner2016-12-15
| | | | | | | Made it possible to upgrade Eigen without having to change the version in multiple places Made the cmake file check the signature of the package again Change: 142186076
* Fix use-after-free bug when closing a MasterSession.Gravatar Derek Murray2016-12-15
| | | | | | | | | | | | | | | | | | | | A concurrent run call could continue to use a MasterSession that had deleted itself (in `MasterSession::Close()`). Change `MasterSession` to be an explicitly shared, refcounted object; and modify the `Master` so that each call that uses a session will acquire a reference to that session, then release it before calling the callback. Add a `MasterSession::closed_` bit to ensure that no call uses a session after `MasterSession::Close()` has succeeded. Also fix a null-pointer access that could occur if a ReffedClientGraph was partially constructed. If `ReffedClientGraph::RegisterPartitions()` failed, some of the `Part::worker` fields would be uninitialized, and `ReffedClientGraph::DeregisterPartitions()` (called by the destructor) would attempt to invoke a method on that object. Fix this by only attempting to deregister partitions that have been successfully registered. Change: 142185174
* Update SVM classifier to be consitent with other classifiers with respect to ↵Gravatar A. Unique TensorFlower2016-12-15
| | | | | | model_dir handling. Change: 142184770
* Avoid bazel-mirror URLs for make and cmakeGravatar Justine Tunney2016-12-15
| | | | | | People might make commits updating the version without actually mirroring the URL. Change: 142177676
* Adding Scaffold to the tf.learn.ModelFn, so that users can play with ↵Gravatar Mustafa Ispir2016-12-15
| | | | | | initialization, saving, and so on. Change: 142175064
* Add a debug -mavx option for Cloud ML builds.Gravatar Jonathan Hseu2016-12-15
| | | | Change: 142174591
* Sync the github and local versions of the ThreadPool headerGravatar Benoit Steiner2016-12-15
| | | | Change: 142169284
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142166062
* Make the context correct for the gradient of mixed nesting of conds and loops.Gravatar Yuan Yu2016-12-15
| | | | Change: 142162324
* Mutes warnings for some deprecated arguments with default values. Fixes a bug.Gravatar A. Unique TensorFlower2016-12-15
| | | | | | | | | | Users were getting log warnings even when using the API correctly, because of argument passthrough within tf.learn. This change mutes warnings for calls to fit, estimate, and predict if the deprecated arguments receive default values. Also fixes a bug in the deprecation tool where "==" was used instead of "is" to compare objects, which was at times yeilding a non-boolean. Change: 142162193
* Add tensor contraction op 'tensordot' to opensource TensorFlow. Original ↵Gravatar A. Unique TensorFlower2016-12-15
| | | | | | implementation by Moritz Hardt (mrtz@google.com). Fixes Github issue #5231. Change: 142161582
* Automated rollback of change 141675118Gravatar Yuan Yu2016-12-15
| | | | Change: 142160746
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142159965
* Add an op for matrix norm, implementing a subset of numpy.linalg.norm.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142156560
* Switch shape inference handles resource variable shapes and dtypes.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142152862
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142149281
* Fix linter errors left over from PRs.Gravatar Martin Wicke2016-12-15
| | | | Change: 142149043
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142148654
* Move the implementation code of static_rnn, static_bidirectional_rnn and ↵Gravatar Jianwei Xie2016-12-15
| | | | | | static_state_saving_rnn from core to contrib. Change: 142148394
* Add BroadcastShape op.Gravatar A. Unique TensorFlower2016-12-15
| | | | | Specifically create a broadcast_static_shape and broadcast_dynamic_shape python wrappers. broadcast_static_shape returns an inferred TensorShape from the input TensorShapes, while broadcast_dynamic_shape returns an integer Tensor representing the broadcasted shape. Change: 142147719
* Bump eigen version to get implementation of scalar_expm1_op.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142147027
* Fix the typo in dnn_benchmark_test.Gravatar Jianwei Xie2016-12-15
| | | | Change: 142140440
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-15
| | | | Change: 142110419
* Switch array_ops.pack/unpack to array_ops.stack/unstack. Also switch a few ↵Gravatar A. Unique TensorFlower2016-12-15
| | | | | | remaining references to tf.pack/unpack to tf.stack/unstack. Change: 142108785
* Removed TensorFlow Mechanics 101 from how_to left navigationGravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142087617
* Automated rollback of change 142080248Gravatar Mustafa Ispir2016-12-14
| | | | Change: 142084980
* Add tf-benchmark test for DNNClassifier.Gravatar A. Unique TensorFlower2016-12-14
| | | | | | Add some more metric assertions to dnn_test. Make feature columns tuples instead of lists. Change: 142084798
* Fix failures because of SparseTensor.__init__ signature change.Gravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142084456
* Disable flaky test case in grpc_session_test.Gravatar Derek Murray2016-12-14
| | | | Change: 142084021
* Use log warnings instead of errors for up-converting generic signatures.Gravatar Sukriti Ramesh2016-12-14
| | | | Change: 142082843
* Added tf.train.Scaffold support for tf.learn.Estimator. This lets users to ↵Gravatar Mustafa Ispir2016-12-14
| | | | | | play with initialization, saver, and so on. Change: 142080248
* Remove hourglass imports from kernel_testsGravatar Justine Tunney2016-12-14
| | | | Change: 142080137
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142075580
* Implement sampled_scattered_embedding_lookup_sparse. This op is used in ↵Gravatar A. Unique TensorFlower2016-12-14
| | | | | | variable pool. Change: 142075501
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142074727
* Merge changes from github.Gravatar Martin Wicke2016-12-14
| | | | Change: 142074581
* Add Tactivation attribute for QuantizedMatmul and QuantizedMatmulMinMax to ↵Gravatar A. Unique TensorFlower2016-12-14
| | | | | | explicitly notify which quantizedtype output would be produced by following activation function. Change: 142073731
* Final breaking change, removing .shape from SparseTensor.Gravatar Martin Wicke2016-12-14
| | | | Change: 142071642
* Make comment more concise in C++ API.Gravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142065959
* Fix a typo in the docstring of init_from_checkpoint.Gravatar A. Unique TensorFlower2016-12-14
| | | | Change: 142065387
* Added a microbenchmark for `tf.Session.run()` calls with different targets.Gravatar Derek Murray2016-12-14
| | | | | We will use this benchmark to track the work towards addressing issue #6256. Change: 142065136
* Fix erroneous references to tf.summary.histogram in deprecation string for ↵Gravatar A. Unique TensorFlower2016-12-14
| | | | | | non-histogram summary ops. Change: 142063275
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