| Commit message (Collapse) | Author | Age |
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for supported operating systems.
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PiperOrigin-RevId: 214220618
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C API.
PiperOrigin-RevId: 214093482
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Signed-off-by: Jason Zaman <jason@perfinion.com>
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then bazel will build TensorFlow API version 2.0. In all other cases, it would build API version 1.*.
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PiperOrigin-RevId: 212008334
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Used to prepare all the header files so they can easily be installed
into /usr/include when packaging TF.
Signed-off-by: Jason Zaman <jason@perfinion.com>
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PiperOrigin-RevId: 211531374
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TENSORFLOW_API_INIT_FILES and TENSORFLOW_API_INIT_FILES_V1 in doc_srcs_test.
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PiperOrigin-RevId: 208894550
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Previously, specifying --define=using_mkl_dnn_only=true would cause
MKL-ML-dependent code to be #ifdef'd out, but dependencies on MKL-ML itself
would still be present. This change makes all library dependencies on MKL
properly select MKL-ML, MKL-DNN, or both, depending on the selected
configuration.
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PiperOrigin-RevId: 208538037
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PiperOrigin-RevId: 207781405
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PiperOrigin-RevId: 207611658
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based on PR review comments.
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dependencies.
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* Added nGraph bridge as a third_party to be built with TensorFlow based on user selection.
* Added a limited set of C++ unit tests to verify the correctness of the computation
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PiperOrigin-RevId: 205427089
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PiperOrigin-RevId: 205297172
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PiperOrigin-RevId: 204338153
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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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PiperOrigin-RevId: 202706517
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PiperOrigin-RevId: 202260254
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PiperOrigin-RevId: 202585094
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PiperOrigin-RevId: 202260254
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PiperOrigin-RevId: 201554374
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PiperOrigin-RevId: 201110240
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PiperOrigin-RevId: 201033171
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PiperOrigin-RevId: 201011811
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* Do not depend on boringssl for big-endian architectures.
A recent commit migrated TensorFlow from grpc_unsecure (and grpc++_unsecure)
to their secure variants. These secure variants depend on BoringSSL.
Unfortunately, BoringSSL does not work on big-endian architectures.
This commit abstracts the grpc dependency behind a couple cc_library rules,
and plumbs through the logic to conditionally build without BoringSSL based
on the target architecture.
Fixes #20014
* Fix BUILD file formatting.
* Fix typo in CPU name
* Add an additional bind and select when evaluating the cc_proto_library rules.
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(#19966)
* opencv interop fix: exclude libjpeg symbols from libtensorflow_framework.so to avoid symbol conflict
* Fix buildifier issue (sorting of fields)
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