| Commit message (Collapse) | Author | Age |
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PiperOrigin-RevId: 205248470
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Also adds arguments to control distributed aggregation to the tf.Variable constructor.
Removes tfe.Variable from examples as it's now unnecessary.
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PiperOrigin-RevId: 204832902
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https://github.com/intel/mkl-dnn/blob/master/LICENSE
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Merge pull request #20749
PiperOrigin-RevId: 204581011
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PiperOrigin-RevId: 204539752
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PiperOrigin-RevId: 204530874
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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The jsoncpp headers are included with a different path so we have to
symlink them so the are in the dir structure that is expected.
Signed-off-by: Jason Zaman <jason@perfinion.com>
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macros
Signed-off-by: Jason Zaman <jason@perfinion.com>
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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This makes --copt=-w silence warnings both in the host compiler and in
the CUDA compiler.
PiperOrigin-RevId: 204156508
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PiperOrigin-RevId: 204139191
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After this change, to build TensorFlow with GPU support on Windows, you just need to follow the same procedure as Linux.
Also re-enable remote cache since the bug in b/111106393 has been fixed by the new wrapper script.
The clean-up of the wrapper scripts also made the build around 5 mins faster than using Bazel's msvc wrapper script.
PiperOrigin-RevId: 204105368
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PiperOrigin-RevId: 204105366
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Fixes #17801.
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- Remove LLVM_DEFINES from all targets but :config to avoid running into
Windows command line length limitations.
- Add LLVM_COPTS to cc_binary rules.
- Extract out a list of platform specific headers to a
LLVM_SUPPORT_PLATFORM_SPECIFIC_SRCS_GLOB variable.
PiperOrigin-RevId: 203806527
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TowerLocalVariables.
PiperOrigin-RevId: 203520287
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PiperOrigin-RevId: 203171217
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Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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PiperOrigin-RevId: 203037623
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* 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>
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Branch 202673820
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* Update kafka to v0.11.4
This fix updates kafka from v0.11.1 to v0.11.4
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Add additional source files in kafka
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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This change allows TensorFlow users to stream data directly from
Cloud Bigtable into the TensorFlow runtime using tf.data.
PiperOrigin-RevId: 202664219
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PiperOrigin-RevId: 202399218
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This lets external contributors add or remove compiler flags without having
access to the generator script (which isn't open source).
E.g. see #18293
PiperOrigin-RevId: 202322000
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PiperOrigin-RevId: 202288652
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Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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PiperOrigin-RevId: 202585094
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Eigen provides files that are both GPL and MPL. Tensorflow uses only the
MPL headers. This target collects all the headers into genfiles so they
can be easily installed to /usr/include/ later.
Thanks to dennisjenkins@google.com for all the help testing and figuring
out what was missing. And to pcloudy@google.com for pointers to the solution.
Signed-off-by: Jason Zaman <jason@perfinion.com>
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* Update or-tools to v6.7.2
This fix updates or-tools from 253f795 (dated 03/21/2017)
to the latest versioned release version of v6.7.2
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
* Update workspace for ortools
Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
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* create platform for remote execution
* Platform target defines container to use for remote builds.
* This PR is part of the process to deprecate use of
experimental_remote_platform_override which will consolidate the
definition of the container to use for remote builds.
* also update dockerfile for rbe to indicate base is Ubuntu 16-04
* remove rev from build file (set in dockerfile)
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PiperOrigin-RevId: 202399218
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This lets external contributors add or remove compiler flags without having
access to the generator script (which isn't open source).
E.g. see #18293
PiperOrigin-RevId: 202322000
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PiperOrigin-RevId: 202288652
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