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path: root/tensorflow/contrib/__init__.py
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* Internal Change.Gravatar Michael Case2018-10-08
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* Remove tensorflow/contrib/linalg library. linalg remains in core.Gravatar Ian Langmore2018-09-17
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* Internal Change.Gravatar Michael Case2018-09-05
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* Automated rollback of commit 8cf8afefdb4c240f74a05e24246c8cd2dcce9d54Gravatar Michael Case2018-09-04
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* Internal Change.Gravatar Michael Case2018-09-04
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* BEGIN_PUBLICGravatar Vikram Tankasali2018-08-22
| | | | | | | | | | | Delete tf.contrib.kfac. K-FAC in Tensorflow is now its own separate package. END_PUBLIC RELNOTES: n/a Automated rollback of commit 938b9a40787028c58fb548fa6ada8c0dd8180f35 PiperOrigin-RevId: 209813506
* Enable TOCO and TFLite In Windows.Gravatar Andrew Selle2018-08-20
| | | | | | | | - Include in pip build command - Fix use of subprocess to not use unsupported flag on windows. - Fix __init__ in contrib to include tflite PiperOrigin-RevId: 209505929
* Automated rollback of commit 26353f9b51091312e7097143aee9c2d05e2011fdGravatar A. Unique TensorFlower2018-08-16
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* Delete tf.contrib.kfac. K-FAC in Tensorflow is now its own separate package.Gravatar Vikram Tankasali2018-08-16
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* Make autograph visible in contrib.Gravatar Mark Daoust2018-08-08
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* Exclude importing tensorflow.contrib.cloud on Windows (#20474)Gravatar Yun Peng2018-07-02
| | | | | This is a follow up to fix tests under tensorflow/contrib/... on Windows, whic h is caused by https://github.com/tensorflow/tensorflow/commit/654eb3dd779107eb919af1093e2a72f0ab6ba922 @gunan @case540
* Move cond_v2 to core (non-public) and add toggle to use cond_v2 by default.Gravatar Skye Wanderman-Milne2018-06-15
| | | | | | | | | | | | | | | | | | | | This change: * Creates a new global variable, control_flow_ops._ENABLE_COND_V2, to use cond_v2 by default when calling tf.cond. This variable can also be controlled via the environment variable TF_ENABLE_COND_V2. * Moves cond_v2 out of contrib so it's accessible from control_flow_ops.py. * Lazily "imports" some modules in cond_v2 to avoid circular dependencies. Note that these lazy "imports" must be imported by the cond_v2 caller (or recursively by one of the caller's imports) in order for cond_v2 to have access to them. * Renames the cond_v2 module to cond_v2_impl, and creates a new cond_v2 module that imports the cond_v2 method and the necessary extra imports. This is useful for explicitly calling cond_v2 outside of control_flow_ops.cond. PiperOrigin-RevId: 200778208
* Introduce tf.contrib.control_flow.new_cond.Gravatar Skye Wanderman-Milne2018-06-05
| | | | | | | | | | | | | | | | new_cond is a new implementation of tf.cond. Instead of emitting control flow ops (i.e. Switch and Merge nodes), new_cond emits a single If op, which represents the conditional branches as TF functions. With this change, users can use new_cond and take its gradient. The idea is for new_cond to eventually replace tf.cond. There are several functional and performance gaps that must be addressed first, including: * Gradients won't work on imported graphs * Misc. limitations of TF functions (lack of collections, device scopes, etc.) PiperOrigin-RevId: 199346735
* Introduce LossScalingOptimizer for mixed precision training.Gravatar James Qin2018-05-14
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* Properly export recurrent in contrib.Gravatar Patrick Nguyen2018-04-27
| | | | | | | | | The following symbols are available: - tf.contrib.recurrent.bidirectional_functional_rnn - tf.contrib.recurrent.functional_rnn - tf.contrib.recurrent.Recurrent PiperOrigin-RevId: 194632138
* 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
* Create a skeleton tf.contrib.checkpoint.Gravatar Allen Lavoie2018-04-19
| | | | | | | | | | | | | | | My plan for this is to incubate tools for working with object-based checkpoints: - Tools for managing dependency graphs, e.g. checkpointable lists/dictionaries - Inspecting/visualizing checkpoints - Listing variables and gathering initializers from a Checkpointable object and its dependencies - Verifying all variables are accessible as dependencies, which should make converting existing graph building Saver uses easier/safer. This CL includes none of those things, it just moves the split_dependency tool here instead of contrib/eager. PiperOrigin-RevId: 193531292
* Porting tests for `rpc_op` to OS.Gravatar Jiri Simsa2018-04-16
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* Porting tests for the `decode_proto` and `encode_proto` to OS.Gravatar Jiri Simsa2018-04-16
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* Automated g4 rollback of changelist 192698931Gravatar Jiri Simsa2018-04-12
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* Automated g4 rollback of changelist 192691078Gravatar Jiri Simsa2018-04-12
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* Porting tests for `rpc_op` to OS.Gravatar Jiri Simsa2018-04-12
| | | | PiperOrigin-RevId: 192698931
* Exposing tensorflow.contrib.proto in the pip package.Gravatar Jiri Simsa2018-04-12
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* Export recurrent and its RNN implementation in tf.contrib.Gravatar Patrick Nguyen2018-04-09
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* Windows: Enable tensorflow/contrib in Bazel build (Second try)Gravatar A. Unique TensorFlower2018-04-02
| | | | | | This reverts commit 4e108ef30d7cd7ae5e1c550ec5ae27e79b8c6e39. PiperOrigin-RevId: 191391075
* Add tf.contrib.distribute, which defines classes DistributionStrategyGravatar A. Unique TensorFlower2018-03-29
| | | | | | | | | | | and MirroredStrategy, and related functionality. Also add tf.contrib.optimizer_v2, an update to the Optimizer API. RELNOTES: Can now pass tf.contrib.distribute.MirroredStrategy() to tf.estimator.RunConfig() to run an Estimator model on multiple GPUs on one machine. PiperOrigin-RevId: 190996247
* Automated g4 rollback of changelist 189231636Gravatar A. Unique TensorFlower2018-03-15
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* Merge changes from github.Gravatar Jacques Pienaar2018-03-15
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* Remove tf.contrib.ndlstm as it is not maintained and barely used.Gravatar Eugene Brevdo2018-02-07
| | | | | | | | Users can find an external implementation by the original author at: https://github.com/tmbarchive/tfndlstm PiperOrigin-RevId: 184914822
* Creates tf.contrib.feature_column module.Gravatar A. Unique TensorFlower2018-02-06
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* Moves batch ops to core and exposes tf.contrib.batchingGravatar Alexandre Passos2018-01-23
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* Add range encode and decode to new tensorflow contrib.Gravatar Sung Jin Hwang2018-01-17
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* Add missing tf.contrib.receptive_field dependencies.Gravatar A. Unique TensorFlower2018-01-11
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* Merge changes from github.Gravatar Shanqing Cai2017-12-06
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* Internal Change.Gravatar Andrew Selle2017-11-10
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* Moving model_pruning library to tf.contribGravatar A. Unique TensorFlower2017-11-01
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* Shorter import for tfe.Gravatar Alexandre Passos2017-10-27
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* Adding summaries to the resnet example.Gravatar Alexandre Passos2017-10-25
| | | | | | Also utilities to use summaries in graph mode. PiperOrigin-RevId: 173483424
* quantize API and copy and modify quantize mangle script to allow open ↵Gravatar Suharsh Sivakumar2017-10-02
| | | | | | sourcing in contrib. PiperOrigin-RevId: 170809777
* Initial release of tf.contrib.kfacGravatar A. Unique TensorFlower2017-09-27
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* Added custom metric support for tf.estimator.Estimator.Gravatar Mustafa Ispir2017-09-06
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* Initial submit for TFGAN.Gravatar A. Unique TensorFlower2017-08-31
| | | | | | Code will be migrated soon. PiperOrigin-RevId: 167196427
* Merge changes from github.Gravatar Andrew Harp2017-08-21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | END_PUBLIC --- Commit 575bd01d4 authored by Vijay Vasudevan<vrv@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Remove /replica:0 declaration in device functions and allow them to be freely bound based on cluster names present. When more than one value matches, it will choose the first lexicographically available device that matches the specification, which in practice will do pretty much the same thing as hardcoding /replica:0. PiperOrigin-RevId: 165766815 --- Commit d685bbc54 authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Benchmarks with backprop enabled (and removes overhead). Before: np.array([[3]]) took 1.50us (30000 iterations) Tensor([[3]]) took 16.30us (30000 iterations) MatMul [2, 2]: np.dot took 0.61us (30000 iterations) MatMul [2, 2]: tf.matmul took 60.53us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 25.72us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.82us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 45.70us (30000 iterations) MatMul [100, 784]: np.dot took 383.32us (1000 iterations) MatMul [100, 784]: tf.matmul took 350.35us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 315.97us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 249.42us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 280.95us (1000 iterations) If backprop is enabled: np.array([[3]]) took 0.83us (30000 iterations) Tensor([[3]]) took 15.21us (30000 iterations) MatMul [2, 2]: np.dot took 0.63us (30000 iterations) MatMul [2, 2]: tf.matmul took 76.31us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 38.66us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.31us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 51.96us (30000 iterations) MatMul [100, 784]: np.dot took 378.34us (1000 iterations) MatMul [100, 784]: tf.matmul took 352.09us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 364.28us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 350.68us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 377.19us (1000 iterations) After: np.array([[3]]) took 0.86us (30000 iterations) Tensor([[3]]) took 15.19us (30000 iterations) MatMul [2, 2]: np.dot took 0.60us (30000 iterations) MatMul [2, 2]: tf.matmul took 64.51us (30000 iterations) MatMul [2, 2]: gen_math_ops.mat_mul took 28.34us (30000 iterations) MatMul [2, 2]: TFE_Py_Execute took 2.38us (30000 iterations) MatMul [2, 2]: defun(tf.matmul) took 48.50us (30000 iterations) MatMul [100, 784]: np.dot took 475.27us (1000 iterations) MatMul [100, 784]: tf.matmul took 399.50us (1000 iterations) MatMul [100, 784]: gen_math_ops.mat_mul took 307.80us (1000 iterations) MatMul [100, 784]: TFE_Py_Execute took 272.83us (1000 iterations) MatMul [100, 784]: defun(tf.matmul) took 350.06us (1000 iterations) PiperOrigin-RevId: 165765641 --- Commit d902babbd authored by David Majnemer<majnemer@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Algebraic simplifier incorrectly transformed convolutions into bitcasts PiperOrigin-RevId: 165765575 --- Commit 8e78e10ef authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: disable test temporarily PiperOrigin-RevId: 165763204 --- Commit a271c37db authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Small improvements to the arithmetic optimizer PiperOrigin-RevId: 165760972 --- Commit b6409594d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Convert some tests to cover both eager and graph. PiperOrigin-RevId: 165760364 --- Commit 5ead76420 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Reduce XLA compile time by ~7% for a convolutional image model: * Added CompactPointerSet<T>, which is optimized for set size <= 1. * Changed expensive CHECKs to DCHECKS in buffer_assignment.cc * Reserve space in DFS state array before starting DFS. * Use unsigned arithmetic in DFS state maintenance. * HloInstruction: - Moved frequently used fields to start for better cache locality. - Use InlinedVector instead of vector for operand array. - Use InlinedVector instead of vector for DFS stack. * Pre-compute "is array" and "is tuple" for LogicalBuffer. * PointsToSet: - Combine two ShapeTrees into one. - Use CompactPointerSet instead of std::set to hold sources. - Use CompactPointerSet instead of std::set to hold flattened buffers. * ShapeTree: use unique_ptr instead of optional for shape storage (reduces size and destruction overhead). * Add proper const qualifiers to some FlatSet iterator methods. Co-author=jeff PiperOrigin-RevId: 165759117 --- Commit a0544b0b8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make TPU symbols more easily accessible from contrib. PiperOrigin-RevId: 165753322 --- Commit cdc08afbb authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Slightly relax numeric tolerance for sinlge precision tests of matrix_solve_ls (and tighten it for double precision). PiperOrigin-RevId: 165750936 --- Commit eebcc861a authored by Jianwei Xie<xiejw@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed the race condition between multi eval step increments. PiperOrigin-RevId: 165750595 --- Commit bbc0b8471 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Go: Update generated wrapper functions for TensorFlow ops. PiperOrigin-RevId: 165748384 --- Commit 65f87c967 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Change device string in RecvNodeDescriptor in VirtualScheduler from const reference to const as the RecvNodeDescriptor (and cached_recv_nodes map) outlives device string from the NodeDef. PiperOrigin-RevId: 165748244 --- Commit 57b0276cf authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 165747467 --- Commit 64e54423b authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] Fix nested dictionary handling in dataset elements. Backports recent changes to the core version of the nest.py library. Fixes #12372. PiperOrigin-RevId: 165746517 --- Commit 378463ae8 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Make tf.eye accept Python integer shapes and avoid generating unnecessary shape handling ops. Clean up test and add tests with placeholders. PiperOrigin-RevId: 165746090 --- Commit 109ecf823 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add support for complex in matrix_solve_ls_op. Split into separate files for each data type to speed up build. PiperOrigin-RevId: 165744539 --- Commit 51441302d authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Internal change. PiperOrigin-RevId: 165737455 --- Commit d0cb32c2a authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Docstring for ResourceVariable. PiperOrigin-RevId: 165735441 --- Commit 32f4c5b6e authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Add IsFinite op in tf2xla. PiperOrigin-RevId: 165734702 --- Commit 5f5c3eb0a authored by Mark Daoust<markdaoust@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Move "supervisor.md" from programmer's guide to api_guides. PiperOrigin-RevId: 165732026 --- Commit d001b58de authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [tf.contrib.data] Fix handling of multi-output tf.py_func() in Dataset.map(). If the `map_func` returns a list of tensors, the current code will attempt to stack it into a single tensor and raise an unintuitive error. Some multi-output ops (such as `tf.py_func()`) return lists of typically-not-stackable tensors. This change treats lists returned from `map_func` as tuples; users who were relying on this auto-stacking behavior should manually call `tf.stack()` (or `tf.convert_to_tensor()`) on the list being returned. Fixes #12396. PiperOrigin-RevId: 165731970 --- Commit e6c60fb36 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix flakyness, sometimes the op takes ms to run. PiperOrigin-RevId: 165728705 --- Commit 360bff8ae authored by Ali Yahya<alive@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Makes tape.watch() work with ResourceVariables. To this end, also adds a property, `device`, to TensorNode. PiperOrigin-RevId: 165726368 --- Commit 80bd004cd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Implements SVDF model for keyword spotting tutorial. PiperOrigin-RevId: 165725938 --- Commit aaabf6b90 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix bug: Using a ComputationDataHandle from the wrong ComputationBuilder. PiperOrigin-RevId: 165724017 --- Commit 107d165d9 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Use 2-arg TraceMe constructor to prevent unnecessary StrCat computation when tracing is disabled. PiperOrigin-RevId: 165722280 --- Commit 7d01f89cc authored by Pete Warden<petewarden@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Android demo app for speech recognition PiperOrigin-RevId: 165714459 --- Commit a6729325a authored by Alexandre Passos<apassos@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Deletes convert_n_to_eager_tensor. Moves convert_to_eager_tensor to constant_op. PiperOrigin-RevId: 165704074 --- Commit 573b303ac authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BUILD cleanup in tensorflow/core/kernels PiperOrigin-RevId: 165688864 --- Commit 711be6adc authored by Derek Murray<mrry@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: `Dataset.from_generator()` constructs a dataset from a Python generator. With this change, it becomes possible to use a Python generator as the source dataset for a `tf.contrib.data` input pipeline. This enables easier integration with non-TensorFlow data sources. The generator can yield a nested structure of NumPy arrays, or values convertible to NumPy arrays. This addresses a concern raised in issue #7951. PiperOrigin-RevId: 165663857 --- Commit 00594ecdd authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: New landing page and leftnav for Programmer's Guide. PiperOrigin-RevId: 165660897 --- Commit 7359fec79 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Implement Batchnorm Inference by expanding them into smaller ops. 1. Add batch norm inference support in batchnorm_rewriter 2. Connect xla's batchnorm inference to tf's FusedBatchNorm RELNOTES: n/a PiperOrigin-RevId: 165655351 --- Commit f0da8bf56 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [Rematerialization] Reconsider to remat operations with control dependencies We added a conservartive logic to not rematerialize operations with control dependencies since the rematerialized operations could result in undesired ordering. However, we now realize that when we remat an operation, we also copy the dependencies of them, which guarantees the rematerialized operation has the same constraint as the original operation. PiperOrigin-RevId: 165654629 --- Commit a1225879c authored by Chris Leary<leary@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: [XLA] Propagate error code in computation replay tool. PiperOrigin-RevId: 165654497 --- Commit 513def0bb authored by Benoit Steiner<bsteiner@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed BuildOpInfoWithoutDevice PiperOrigin-RevId: 165653933 --- Commit d7e425f0b authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix linear algebra benchmarks. PiperOrigin-RevId: 165653891 --- Commit 465c40819 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fix the shape information propagation for Enter op. PiperOrigin-RevId: 165653579 --- Commit c0198fd8d authored by Derek Murray<derek.murray@gmail.com> Committed by gunan<gunan@google.com>: [CMake] Add missing dependencies on boosted_trees protos and other fixes (#12315) * [CMake] Add missing dependencies * Avoid rebuilding boosted_trees protos for Python. * Add GPU implementation ZeroInitializerOp to the CMake build. --- Commit 641943fd7 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Update ops-related pbtxt files. PiperOrigin-RevId: 165652758 --- Commit e31346452 authored by Jonathan Hseu<jhseu@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: TPUEstimator: Fix the outfeed thread join. PiperOrigin-RevId: 165651781 --- Commit 565a9d350 authored by Vijay Vasudevan<vrv@google.com> Committed by Andrew Harp<andrewharp@users.noreply.github.com>: Add missing 'type' keyword to ArgumentParser add_argument (#12275) Fixes #12210 --- Commit 19a55725a authored by Rohan Jain<rohanj@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Allowing functions to run across devices. This change expands the ProcessFunctionLibraryRuntime library to Instantiate and Run functions on different devices. When a FunctionLibraryRuntime encounters a function with a target that is another device, it delegates Instantiate() and Run() calls to the ProcessFunctionLibraryRuntime. This change also moves the table_ containing all function instantiations to the PFLR instead of the FunctionLibraryRuntime. PiperOrigin-RevId: 165651194 --- Commit 8c0853db7 authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a test for negative and zero pow() input. PiperOrigin-RevId: 165650096 --- Commit a3c4e980e authored by Pete Warden<petewarden@google.com> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Fixed input shape for freezing audio graphs PiperOrigin-RevId: 165649546 --- Commit 9b9e5989d authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: Add a call_logit_fn utility for logit_fn's, similar to Estimator's _call_model_fn. PiperOrigin-RevId: 165649388 --- Commit 4ff1f4442 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Remove the script as well if building tf_nightly. --- Commit 373d78987 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Adding the break. --- Commit 0139ac983 authored by Amit Patankar<amitpatankar@google.com> Committed by Amit Patankar<amitpatankar@google.com>: Remove tensorboard as a required package if we are building tf_nightly. --- Commit a92bd5d5c authored by A. Unique TensorFlower<gardener@tensorflow.org> Committed by TensorFlower Gardener<gardener@tensorflow.org>: BEGIN_PUBLIC Automated g4 rollback of changelist 165630063 PiperOrigin-RevId: 165957821
* This adds the cluster_resolver module to contrib/__init__.py so that it is ↵Gravatar Frank Chen2017-07-30
| | | | | | actually visible to open source TensorFlow users. PiperOrigin-RevId: 163636676
* Automated g4 rollback of changelist 161218103Gravatar A. Unique TensorFlower2017-07-12
| | | | PiperOrigin-RevId: 161671226
* Automated g4 rollback of changelist 161203536Gravatar Suharsh Sivakumar2017-07-07
| | | | PiperOrigin-RevId: 161218103
* Fix dependencies and import statements for predictor module.Gravatar A. Unique TensorFlower2017-07-07
| | | | PiperOrigin-RevId: 161203536
* Initial commit of time series modelsGravatar Allen Lavoie2017-07-05
| | | | PiperOrigin-RevId: 161014271
* Move resampler from sonnet to contrib.Gravatar A. Unique TensorFlower2017-06-26
| | | | PiperOrigin-RevId: 160134565
* Introduce Tensor Processing Unit-specific operations and estimators. This ↵Gravatar Frank Chen2017-06-20
| | | | | | | | commit enables TensorFlow users to utilize functionality available in Cloud TPUs. Please note that these APIs are in alpha with Cloud TPUs, and will likely undergo significant changes during the Cloud TPU alpha and beta process. Interested individuals and organizations should sign up for a Cloud TPU beta at https://ai.google/tools/cloud-tpus/. PiperOrigin-RevId: 159636962
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