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* Fix sparse case of ProximalGradientDescent not being plumbed correctlyGravatar Frank Li2016-07-19
| | | | Change: 127908886
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127908182
* Automated rollback of change 127562075Gravatar Shanqing Cai2016-07-19
| | | | Change: 127906463
* Fixed incorrect debug assertionGravatar Benoit Steiner2016-07-19
| | | | Change: 127903711
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127901773
* strict/strict_statistics -> validate_args/allow_nan_statsGravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127900496
* Add C++ shape inference functions for more functions in nn_ops.cc.Gravatar A. Unique TensorFlower2016-07-19
| | | | | Add shape_inference::InferenceContext::ReplaceDim. Change: 127893881
* Add common nets to tf.slimGravatar Sergio Guadarrama2016-07-19
| | | | Change: 127893189
* Add back strided_slice to android_all_opsGravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127889301
* Add tf.contrib.learn.utils.export.regression_signature_fnGravatar Wei Ho2016-07-19
| | | | Change: 127888554
* Store namedtuples of (name, Tensors) when collecting the outputs instead of ↵Gravatar Sergio Guadarrama2016-07-19
| | | | | | plain tuples. Change: 127887552
* Add shape inference function for ConcatOffset.Gravatar A. Unique TensorFlower2016-07-19
| | | | | Fix bug in the computation of #outputs in shape_inference_testutil.cc. Change: 127885874
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127885597
* Have sample take a shape and rename sample(n) to sample_n(n).Gravatar A. Unique TensorFlower2016-07-19
| | | | | | | | This also allows dist.sample() to return a single sample per batched distribution, avoiding the need to squeeze. Also a fix to Categorical to support broadcasting in log_prob. Change: 127883481
* Internal only changesGravatar Gunhan Gulsoy2016-07-19
| | | | Change: 127882032
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127880545
* Fix imports for dirichlet.py and fix doc generation.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127878217
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127874683
* Update tf.contrib.slim.evaluation.wait_for_new_checkpoint to continue waiting ifGravatar A. Unique TensorFlower2016-07-19
| | | | | no checkpoint exists. Also add an optional timeout parameter. Change: 127874450
* Extend the TensorFlow summary system to support logging arbitrary Tensors.Gravatar Dan Mané2016-07-19
| | | | | | | This CL adds the "TensorSummary" op, which takes in any input tensor, and outputs a string tensor containing a Summary protocol buffer with the serialized input tensor in the summary. The new op is accessible in Python via "tf.summary.tensor_summary". In the future, the tf.summary module will be used to contain other summary ops, like tf.summary.histogram, tf.summary.scalar, etc. Change: 127874174
* Rewrite to make SDCA optimizer distributed.Gravatar A. Unique TensorFlower2016-07-19
| | | | | | | | | | | | Changes are: * Modifies the update equation to include the aspect of distribution, supports logistic loss, other loss functions in later CL. * Speeds up BM_SDCA_LARGE_SPARSE by 20x-34x. * Refactors the interface for the following: - Removes the need of the sparse-tensor wrappers - Makes the code efficient for dense features. - Removes the need of sparse_merge - Allows sparse features with weights, or without weights. Change: 127870447
* Initialize random seed in TensorflowTestCase Setup to reduce flakiness in ↵Gravatar Suharsh Sivakumar2016-07-19
| | | | | | | | | | | | | unittests. In this CL: - a few tests that were failing at a rate > 50% when no seed was used. Created issue https://buganizer.corp.google.com/issues/30149644 to track the fixing of these. - random_shuffle_queue with a shared_name always fails if a user provides a graph-level random seed. This is because the op_level seed returned from random_seed.get_seed changes per graph operation. The fix for this is also included in this CL. - added a test for random_seed, since the logic in there has become a bit complicated. Change: 127867374
* Add Context and WithContext classes to platform. The ThreadPool will ↵Gravatar Jonathan Hseu2016-07-19
| | | | | | construct a Context upon a request to schedule a callback and set the context when calling the callback in a different thread. Change: 127865144
* Clarify expectations for model_fn regarding targets=None in INFER mode.Gravatar Martin Wicke2016-07-19
| | | | Change: 127865082
* Port python session_bundle from tensorflow_serving/session_bundle to ↵Gravatar Kiril Gorovoy2016-07-19
| | | | | | tensorflow/contrib/session_bundle. Change: 127862721
* Implement c++ version of StridedSlice gradient.Gravatar Andrew Selle2016-07-19
| | | | Change: 127861326
* Add Dirichlet and Beta distributions.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127860548
* Change OpDefBuilder's SetShapeFn to take a function pointer instead of anGravatar A. Unique TensorFlower2016-07-19
| | | | | std::function. This simplifies the calling and reduces the amount of templated code generated. Change: 127860029
* Create new dep tree for gen_proto_text_functions tool to simplify/speed up ↵Gravatar Andrew Harp2016-07-19
| | | | | | mobile build. Change: 127859525
* Two fixes to tf-slim train().Gravatar A. Unique TensorFlower2016-07-19
| | | | | | 1. When adding new ops, ensure they are added to the graph passed in the constructor. 2. Allow logdir to be None. Change: 127856413
* internal change onlyGravatar Olivia Nordquist2016-07-19
| | | | Change: 127855634
* Updated comment about batch_norm layer.Gravatar Sergio Guadarrama2016-07-19
| | | | Change: 127853412
* Give a little bit more slack to tests that check on thread delays.Gravatar A. Unique TensorFlower2016-07-19
| | | | Change: 127846532
* Improved support for fp16Gravatar Benoit Steiner2016-07-19
| | | | Change: 127840021
* Adding API docs for tf.contrib.learn.monitors (also fixed a couple typos inGravatar A. Unique TensorFlower2016-07-19
| | | | | monitors.py docstrings). Change: 127838930
* Adding a setUp and tearDown method to file_io_test so that each test exits ↵Gravatar Rohan Jain2016-07-19
| | | | | | cleanly without mutating any file system state. Change: 127834333
* Rename some of the smoothing variables and functions to make it easier toGravatar Renato Utsch2016-07-18
| | | | | understand. Change: 127784684
* Update generated Python Op docs.Gravatar A. Unique TensorFlower2016-07-18
| | | | Change: 127783883
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-07-18
| | | | Change: 127783635
* Add C++ shape inference functions for the Sparse ops in training_ops.cc.Gravatar A. Unique TensorFlower2016-07-18
| | | | Change: 127782110
* Add C++ shape inference functions for linalg_ops.cc.Gravatar A. Unique TensorFlower2016-07-18
| | | | | | Also changed python inference function for MatrixSolve and MatrixSolveLs to use with_rank instead of with_rank_at_least for rhs. Change: 127781866
* Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2016-07-18
| | | | Change: 127779854
* Allow initializing non-partitioned variable with non-Tensor valuesGravatar Wei Ho2016-07-18
| | | | Change: 127777937
* Adding missing closing backquote to DrawBoundingBoxes documentation.Gravatar A. Unique TensorFlower2016-07-18
| | | | Change: 127776763
* Add a 'StopWhenConverged' monitor to help stop KMeans early.Gravatar A. Unique TensorFlower2016-07-18
| | | | | | This stops the estimator when the relative change in loss between iterations goes below a given threshold. Change: 127775603
* Adding a SWIG wrapper for IsDirectoryGravatar Rohan Jain2016-07-18
| | | | Change: 127774472
* Adding a DeleteRecursive method to the C++ Filesystem API. Also adding a ↵Gravatar Rohan Jain2016-07-18
| | | | | | python SWIG wrapper to go along with it. Change: 127770835
* Split up nn_conv_test to reduce test size.Gravatar Gunhan Gulsoy2016-07-18
| | | | Change: 127766679
* optimizers: fix bug having to do with optimize_loss and unconnected variablesGravatar A. Unique TensorFlower2016-07-18
| | | | | | * if a variable does not have a gradient, its gradient is None as returned by tf.gradients * this would cause an error in _add_scaled_noise_to_gradients (calling gradient.get_shape()) Change: 127765890
* Fix tf.pow gradient at zeroGravatar Geoffrey Irving2016-07-18
| | | | | | | | d(x ^ y)/dy mentions log(x), which creates false singularities if x = y. Instead, use x > 0 ? log(x) : 0. Fixes #2295. Change: 127762504
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