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* Add xla library into contrib_pyGravatar Yanan Cao2018-10-04
| | | | PiperOrigin-RevId: 215774158
* Merge pull request #22210 from dmitrievanthony:apache-ignite-datasetGravatar TensorFlower Gardener2018-10-01
|\ | | | | | | PiperOrigin-RevId: 215258743
* | [tf.data] Move `tf.contrib.data` C++ code to a core "experimental" directory.Gravatar Derek Murray2018-09-28
| | | | | | | | | | | | | | | | NOTE: All ops and kernels previously previously defined in tensorflow/contrib/data have had their name prefixed with "Experimental" to indicate that they are not (yet) stable, and thus not subject to backwards or forwards compatibility guarantees. PiperOrigin-RevId: 214940819
* | Remove AWS, GCP, Kafka and HDFS options from configure. Make them default onGravatar Gunhan Gulsoy2018-09-27
| | | | | | | | | | | | for supported operating systems. PiperOrigin-RevId: 214886845
* | Exclude cloud contrib modules in s390x and windows.Gravatar Gunhan Gulsoy2018-09-21
| | | | | | | | | | | | Fixes #20502 PiperOrigin-RevId: 214057093
* | Remove tensorflow/contrib/linalg library. linalg remains in core.Gravatar Ian Langmore2018-09-17
| | | | | | | | PiperOrigin-RevId: 213352573
* | Add TF-TRT kernels/ops to contrib_kernels and contrib_ops_op_lib, so TF servingGravatar Guangda Lai2018-09-13
| | | | | | | | | | | | can use them. PiperOrigin-RevId: 212838380
| * Add IgniteDataset that allows to work with Apache Ignite.Gravatar Anton Dmitriev2018-09-11
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* Fix the tensorrt dependency order in tensorflow/contrib/BUILD.Gravatar Guangda Lai2018-09-04
| | | | PiperOrigin-RevId: 211496364
* [tf.data] Include indexed dataset in contrib:contrib_ops_op_libGravatar Brennan Saeta2018-08-23
| | | | PiperOrigin-RevId: 209966634
* 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
* Reorder the contrib_py dependencies so that tensorrt appear before tflite.Gravatar Guangda Lai2018-08-21
| | | | PiperOrigin-RevId: 209627240
* 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
| | | | PiperOrigin-RevId: 208973995
* Delete tf.contrib.kfac. K-FAC in Tensorflow is now its own separate package.Gravatar Vikram Tankasali2018-08-16
| | | | PiperOrigin-RevId: 208972923
* Automated rollback of commit 79387568f2860dd25f411a2e3ba764dabb76286dGravatar A. Unique TensorFlower2018-08-10
| | | | PiperOrigin-RevId: 208219138
* Permit TensorFlow server to access Cloud Bigtable.Gravatar A. Unique TensorFlower2018-08-09
| | | | PiperOrigin-RevId: 208146858
* Merge pull request #19534 from yongtang:hadoopGravatar TensorFlower Gardener2018-08-09
|\ | | | | | | PiperOrigin-RevId: 208112353
* | Refactor dependencies so keras_support can be imported directly.Gravatar Russell Power2018-08-06
| | | | | | | | PiperOrigin-RevId: 207569055
* | Reorder the dependencies to make sure trt appears before tflite, so the buildGravatar Guangda Lai2018-07-25
| | | | | | | | | | | | will resolve the flatbuffer symbols used by trt within the trt library. PiperOrigin-RevId: 206016450
* | Fix window bazel build failure by exclusing ↵Gravatar Guangda Lai2018-07-17
| | | | | | | | | | | | tensorflow/contrib/tensorrt:init_py from windows build. PiperOrigin-RevId: 204985580
* | Fix various building/testing issues and enable basic TensorRT tests, details ↵Gravatar Guangda Lai2018-07-16
| | | | | | | | | | | | | | | | | | | | are: 1. Add IsGoogleTensorRTEnabled() method and is_tensorrt_enabled() python wrapper to guard trt python tests. 2. Fix nvcc build problems and add corresponding TODOs in some c++ code. 3. Fix various kokoro test config problems (e.g. fix oss build dependencies, add nomac tags for some tests, etc) PiperOrigin-RevId: 204862004
* | Add full cluster resolver package to contrib_py rather than the ↵Gravatar Frank Chen2018-07-11
| | | | | | | | | | | | implementation-less skeleton. PiperOrigin-RevId: 204188173
* | Deduplicate cloud build targets.Gravatar Gunhan Gulsoy2018-07-02
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* | Merge commit for internal changesGravatar Gunhan Gulsoy2018-07-02
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| * | Exclude tensorflow/contrib/bigtable on WindowsGravatar A. Unique TensorFlower2018-07-02
| | | | | | | | | | | | | | | | | | Fix Windows failure caused by cl/202664219 PiperOrigin-RevId: 202960843
* | | Add KinesisDataset support for tensorflow Dataset (#19712)Gravatar Yong Tang2018-07-02
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Add KinesisDataset support for tensorflow Dataset This fix is an attempt to add Kinesis support for tensorflow's Dataset. Kinesis is provided by AWS as a managed data streaming service. It is similiar to Apache Kafka, often used in places where maintaining a independent Kafka cluster on AWS is not desirable or possible. This fix adds the Kinesis support for tensorflow Dataset. Similiar to the Kafka integration in tensorflow, KinesisDataset outputs tf.string for records. Test cases have also been added, which could be invoked manually. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Expose KinesisDataset in dataset_ops.cc Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Expose KinesisDataset in python wrapper Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add test cases for KinesisDataset Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Update AWS library include files Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add Bazel BUILD files Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Rename s3_crypto to aws_crypto Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Rename with_s3_support to with_aws_support Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Selectively add kinesis to tensorflow/contrib/BUILD Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Set different partition key and pylint fix. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add missing modules in cmake's python_modules.txt Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Address review feedback Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* | | Excluding cloud_py as well from Windows Bazel build.Gravatar Michael Case2018-06-29
| | | | | | | | | | | | | | | cloud_py now depends on big_table which does not build on Windows. Excluding from Window Bazel build for now.
* | | Attempt to fix Windows Bazel build.Gravatar Michael Case2018-06-29
|/ / | | | | | | | | Excluded dependency on contrib/bigtable from Windows build. There are several Bazel build errors when trying to build it.
| * Expose tf.contrib.hadoop.SequenceFileDataset to tf.contribGravatar Yong Tang2018-06-29
| | | | | | | | Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* | [tf.data / Bigtable] Initial tf.data Bigtable integrationGravatar Brennan Saeta2018-06-29
| | | | | | | | | | | | | | This change allows TensorFlow users to stream data directly from Cloud Bigtable into the TensorFlow runtime using tf.data. PiperOrigin-RevId: 202664219
| * Fix Windows GPU BuildGravatar A. Unique TensorFlower2018-06-28
| | | | | | | | PiperOrigin-RevId: 202260254
* | Fix Windows GPU BuildGravatar A. Unique TensorFlower2018-06-27
|/ | | | PiperOrigin-RevId: 202260254
* Internal Change.Gravatar Michael Case2018-06-21
| | | | PiperOrigin-RevId: 201554374
* 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
| | | | PiperOrigin-RevId: 196597196
* 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
* Entropy bottleneck class.Gravatar A. Unique TensorFlower2018-04-23
| | | | PiperOrigin-RevId: 193972549
* Add a utility to visualize object-based checkpointsGravatar Allen Lavoie2018-04-20
| | | | | | | | Useful for generating a warm fuzzy feeling that everything you think should be saved was saved, and for explaining what object-based checkpointing is. (Also useful on the former front will be a planned "assert that all of this Graph's trainable variables are accessible from object X" function.) Somewhat hacky since it generates strings rather than using the pydot bindings (and so works without a pydot dependency). PiperOrigin-RevId: 193708003
* Porting tests for `rpc_op` to OS.Gravatar Jiri Simsa2018-04-16
| | | | PiperOrigin-RevId: 193102564
* Porting tests for the `decode_proto` and `encode_proto` to OS.Gravatar Jiri Simsa2018-04-16
| | | | PiperOrigin-RevId: 193070420
* Automated g4 rollback of changelist 192698931Gravatar Jiri Simsa2018-04-12
| | | | PiperOrigin-RevId: 192718697
* Automated g4 rollback of changelist 192691078Gravatar Jiri Simsa2018-04-12
| | | | PiperOrigin-RevId: 192708480
* 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
| | | | PiperOrigin-RevId: 192691078
* Export recurrent and its RNN implementation in tf.contrib.Gravatar Patrick Nguyen2018-04-09
| | | | PiperOrigin-RevId: 192210794
* Internal changeGravatar A. Unique TensorFlower2018-04-03
| | | | PiperOrigin-RevId: 191505262
* Disabled some tests on WindowsGravatar A. Unique TensorFlower2018-04-03
| | | | PiperOrigin-RevId: 191494857
* Windows: Enable tensorflow/contrib in Bazel build (Second try)Gravatar A. Unique TensorFlower2018-04-02
| | | | | | This reverts commit 4e108ef30d7cd7ae5e1c550ec5ae27e79b8c6e39. PiperOrigin-RevId: 191391075
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