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* Updating the V2 variables API.Gravatar Alexandre Passos2018-09-27
| | | | PiperOrigin-RevId: 214824023
* Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-09-10
| | | | | | | | 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: 212336464
* * Fixing checks for fully-known shapes.Gravatar Andrew Cotter2018-08-15
| | | | | | | | * Adding pre_train_ops to ConstrainedMinimizationProblem. These are tf.Operations that should be executed before each training step. * Updating ConstrainedOptimizers to have the train_ops they create depend on the pre_train_ops from the ConstrainedMinimizationProblem. PiperOrigin-RevId: 208871419
* contrib: minor spelling tweaksGravatar Brett Koonce2018-08-09
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* Fix typosGravatar Taehoon Lee2018-07-24
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* Merge pull request #20123 from yongtang/06022018-keep_dimsGravatar Qianli Scott Zhu2018-06-19
|\ | | | | Fix warning in constrained_optimization test
* | contrib: autograph/constrained_optimization: minor spelling tweaks (#20044)Gravatar brett koonce2018-06-15
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| * Update keep_dims for reduce_maxGravatar Yong Tang2018-06-02
| | | | | | | | Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
| * Fix warning in constrained_optimization testGravatar Yong Tang2018-06-02
|/ | | | | | | | | In constrained_optimization test, keep_dims was used for reduce_sum. Since keep_dims has been deprecated it generates unnecessary warning. This fix updates keep_dims -> keepdims to disable the warning. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* This is a library for performing constrained optimization. It defines two ↵Gravatar Andrew Cotter2018-04-23
interfaces: ConstrainedMinimizationProblem, which specifies a constrained optimization problem, and ConstrainedOptimizer, which is slightly different from a tf.train.Optimizer, mostly due to the fact that it is meant to optimize ConstrainedMinimizationProblems. In addition to these two interfaces, three ConstrainedOptimizer implementations are included, as well as helper functions which, given a set of candidate solutions, heuristically find the best candidate (to the constrained problem), or the best distribution over candidates. For more details, please see our arXiv paper: "https://arxiv.org/abs/1804.06500". PiperOrigin-RevId: 193999550