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Upgrade to newer tensorflow #3

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Upgrade to newer tensorflow

alextp and others added 30 commits November 11, 2019 09:46
…compilation_fix

[r2.1-CherryPick]: Fixing compilation error in MKL eager test
…ated for manylinux2010 compatibility for the 10.1 toolchain.

PiperOrigin-RevId: 279422340
Change-Id: Icaff93aed22c3a319efb6dee4c3f703eb17c1a11
PiperOrigin-RevId: 279460905
Change-Id: Iaf895d72256b826aa2d3e474033800ececc7f658
PiperOrigin-RevId: 279470036
Change-Id: Ib2b363d21baa14ac49088dd700f769c933164340
PiperOrigin-RevId: 279412139
Change-Id: I3c55a5388b0cfd144d63f5e9f444cf3e96471ec4
The doctest was using dictionary output to exhibit structured
element usage. This caused a problem since dictionary key order
is undefined. This changes the example to use a tuple instead.

PiperOrigin-RevId: 279359482
Change-Id: Ideb9970935079b156f88f48672dea2d375d497ae
[r2.1:Cherrypick] Add a missing line for compute in toolchain and Re-add the supported CUDA compute capabilities into the toolchain
[r2.1:Cherrypick] Export Keras preprocessing layers in tf.keras.layers.experimental.
[r2.1:Cherrypick] Run Model.*_on_batch using tf.function where appropriate.
… None.

Before this fix, Dataset.interleave(..., num_parallel_calls=2) would result
in non-deterministic output order, even when
options.experimental_deterministic=True. The non-determinism is seen
when the cycle length of the interleave exceeds the number of input elements.

PiperOrigin-RevId: 279838573
Change-Id: I6dc94b071a8eeb269e24b192aa65be105022444c
Fix bug in output ordering from interleave with num_parallel_calls
Add XLA context to the function cache key
…presence of errors.

PiperOrigin-RevId: 280200721
Change-Id: Icfaffb567b970da140e9b0d3a6c2093452893f01
PiperOrigin-RevId: 280241069
Change-Id: I6cafe2b0e7e2dc13c098fd80780d9aa79d2a217b
PiperOrigin-RevId: 280241172
Change-Id: I7e641a9ff00086f67e5e93676764799d44ef96d6
PiperOrigin-RevId: 279344508
Change-Id: Id43dcf4dafc8d45eb4eacd5f2730a6fad0ddf133
…default of --incompatible_remove_legacy_whole_archive in cl/277339372

This should fix the latest issue reported in tensorflow#33415.
Also fixes an internally reported missing symbol.

Related to bazelbuild/bazel#7362

PiperOrigin-RevId: 279792794
Change-Id: I6f5d26ee37b9c886662df5e2daf9273c15cae865
…presence of errors.

PiperOrigin-RevId: 280200721
Change-Id: Icfaffb567b970da140e9b0d3a6c2093452893f01
This CL:
- makes sure that a previously cancelled input pipeline won't hang in ParallelMapDataset kernel
- excludes errors::Cancelled() from being ignored by the IgnoreErrorsDataset kernel to avoid infinitely looping after a cancellation

PiperOrigin-RevId: 280425330
Change-Id: If210c94c59e3b33b170e77aea6c87308241364e6
2.1-RC0 cherry-pick request: [tf.data] Improving detection of infinitely repeated datasets in the presence of errors.
PiperOrigin-RevId: 280290757
Change-Id: I52dfff634e6e0ccdc81cd5cce682d7df3499b618
…nents at least twice during function tracing. We don't want to run the deleter in those cases as they are just referring to the original resource and not creating a new one. So we just create the deleter the first time.

PiperOrigin-RevId: 280071920
Change-Id: I266ac500246354e6e4d6145835c4f90926ec5715
goldiegadde and others added 28 commits December 20, 2019 16:35
[r2.1 Cherrypick]: Unexpose LossScaleGradientTape.
…umbers-2.1.0rc2-32619

Update version numbers for TensorFlow 2.1.0-rc2
Fix segfault when attempting to convert string to float16.
…gen-patch

[ROCm][r2.1] eigen patch needed for HIP header changes
…scripts

Cherry-pick the release build scripts
…MSVC standard library.

PiperOrigin-RevId: 286447750
Change-Id: I5af8054ac69782e351cff440d88824eade90f963
PiperOrigin-RevId: 286436468
Change-Id: I61c4337f54f3a2533a03de65371c2aa1b1a76e5b
…rence.

PiperOrigin-RevId: 286330416
Change-Id: I5878ab23b9596ac0c5dbf91394ee6ba8e5683c77
PiperOrigin-RevId: 286642121
Change-Id: I8ec228fd768df5b20a11cdc63fcf219d6ab24de7
This adds `--ccopt -D_USE_MATH_DEFINES` manually to the .bazelrc as the
verison of bazel used on r2.1 (0.29.x) does not support platform
specific options.  This allows the windows build to function by default.
To be cherry-picked on `r1.15`, `r2.0`, and `r2.1` branches.

PiperOrigin-RevId: 287871757
Change-Id: Ic530e884de421a39a82c686f1f0d086b6400d75c
Add Python3.7 testing on MacOS as we drop support for Python2.
…work-cherry-pick

[r2.1:Cherrypick][Intel MKL] Cherry-picking 55e20a6 - Klockwork fix
r2.1 cherry-pick request: windows build support
…umbers-2.1.0-23859

Update version numbers for TensorFlow 2.1.0
Silence build warnings in tflite
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