| Commit message (Collapse) | Author | Age |
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FunctionBufferingResource. Earlier target_device could be '/cpu:0' and
source_device be '/job:localhost/replica:0/task:0/device:CPU:0' and we'd deem
them to be different devices which is incorrect.
PiperOrigin-RevId: 202032979
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PiperOrigin-RevId: 174938299
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making all the device factories produce the new device names.
The python API would still support the legacy /<type>:<index> format so the C++ layer would accept both legacy and standardized names but the C++ layer would produce only new device names now.
PiperOrigin-RevId: 170758313
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END_PUBLIC
I dropped the following commit because it doesn't compile.
I will follow up with Andrew to fix it or revert it.
Commit 003deb88b authored by osdamv<osdamv@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactor and implementation of the camera API 1, it fixes #8736 (#10771)
List of commits in this CL:
---
Commit 446450369 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Use identity of param variable in cudnn_rnn.RNNParamsSaveable instead of parameter
variable directly. The RNNParamsSaveable is usually used in a graph which also
has a saver for the cudnn param variable itself, if the same op is used for
both, fails with a two savers for same op error.
PiperOrigin-RevId: 163431826
---
Commit d629a8316 authored by RJ Ryan<rjryan@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase bound on tf.contrib.signal.inverse_stft gradient error to avoid flakiness on macOS.
PiperOrigin-RevId: 163426631
---
Commit 253bcbb71 authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Use HloEvaluator for convolution in reference_util.
Also Speed up HloEvaluator's HandleConvolution in non-opt build, by moving calls
to HloInstruction::shape() out of the inner loop.
PiperOrigin-RevId: 163416183
---
Commit 569a00e68 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update API to traffic in unique_ptrs rather than owning raw pointers
PiperOrigin-RevId: 163414320
---
Commit 31a77bc77 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Java: Update release to 1.3.0-rc1
PiperOrigin-RevId: 163413736
---
Commit 1ebbf4325 authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by GitHub<noreply@github.com>:
Add missing grpc dependency (#11828)
---
Commit 905abb1f9 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Test asserts should have `expected` first.
PiperOrigin-RevId: 163409348
---
Commit d5cc143e2 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Increase timeout to deflake the test.
PiperOrigin-RevId: 163407824
---
Commit ce1c7f02a authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Properly include logging header in xla_internal_test_main
PiperOrigin-RevId: 163405986
---
Commit 22241cd42 authored by joetoth<joetoth@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
External leveldb link changed (#11833)
table_format.txt was renamed to table_format.md
---
Commit 6b7314de4 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Consolidating the code to fill the partition's function library
into one place. Previously, Partition() and MasterSession::RegisterPartition()
both fills in the partitioned graph's function library.
PiperOrigin-RevId: 163400992
---
Commit 28373cfe7 authored by Frank Chen<frankchn@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Adds preliminary support for Cloud TPUs with Cluster Resolvers. This aims to allow users to have a better experienec when specifying one or multiple Cloud TPUs for their training jobs by allowing users to use names rather than IP addresses.
PiperOrigin-RevId: 163393443
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Commit e5353c941 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Don't prune nodes that have reference inputs.
PiperOrigin-RevId: 163390862
---
Commit 226510834 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
C API: Groundwork for experimenting with TF_Tensor in device memory.
TF_Tensor objects are always backed by host memory. This commit lays
the groundwork for allowing TF_Tensor objects to refer to tensor data
on device (e.g., GPU) memory.
PiperOrigin-RevId: 163388079
---
Commit 613bf1c7c authored by Yuefeng Zhou<yuefengz@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
fix asan test failure in SingleMachineTest::ReleaseMemoryAfterDestruction.
PiperOrigin-RevId: 163386941
---
Commit 4653d37a3 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Change type to appease GPU builds.
PiperOrigin-RevId: 163384927
---
Commit 9f131bd15 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Internal change
PiperOrigin-RevId: 163378484
---
Commit 8bc0236c8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
PiperOrigin-RevId: 163366493
---
Commit 3b97f1f9b authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Change to only run one round of matmul benchmark.
PiperOrigin-RevId: 163364341
---
Commit a4a3a3335 authored by Yun Peng<pcloudy@google.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix ./configure on Windows (#11775)
* Fix ./configure on Windows
* Disable bitwise_ops_test on Windows
---
Commit ae3119d16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Small changes to op framework.
PiperOrigin-RevId: 163361071
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Commit f40189d26 authored by qjivy<ji.qiu@spreadtrum.com>
Committed by Vijay Vasudevan<vrv@google.com>:
PR again: Enable building label_image with jpeg/gif/png decoder for Android. (#11475)
* Enable building label_image with jpeg/gif/png decoder for Android.
Add dependency "android_tesnorflow_image_op" to label_image, which
is not overlapped with android_tensorflow_kernels.
* Running buildifier to reformat the BUILD files for
sanity check.
---
Commit 599165861 authored by KB Sriram<kbsriram@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Add the Constant operator class (#11559)
Create a custom operator class to create constants in the Graph,
and introduce the Operator marker annotation to identify
operator classes.
Please see #7149 for the master tracking issue.
---
Commit 86ca3506f authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Further BUILD cleanup
PiperOrigin-RevId: 163360750
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Commit 376bb063b authored by Pete Warden<petewarden@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Look inside functions to see which node types are used.
PiperOrigin-RevId: 163360375
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Commit 2139e7d8b authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tf.contrib.data] map expects a nested structure.
Fixes #11786
PiperOrigin-RevId: 163359134
---
Commit d09304fca authored by Jonathan Hseu<vomjom@vomjom.net>
Committed by Vijay Vasudevan<vrv@google.com>:
Upgrade gRPC (#11768)
* BUILD rule modifications
* More build fixes
* Code changes
* More code fixes
* Working tests
* CMake build
* Fix pprof
* Fix header includes
* CMake fix test
* Bazel clean
* Fix verbs
* More verbs fixes
* bazel clean for XLA
* Windows build fix test
* Add openssl/rand.h
* New cmake build command
* --config Release
---
Commit 3cd828474 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Fix error with default python path selection (#11814)
* Fix error with default python path selection
* Move setting of environment var outside if / else
---
Commit ddd8e21b7 authored by Eli Bendersky<eliben@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Consolidate all similar main()s in tests into a single target.
PiperOrigin-RevId: 163354724
---
Commit a36bca25b authored by Tayo Oguntebi<tayo@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove ShapeWithoutPadding() utility function, as it is no longer needed.
PiperOrigin-RevId: 163353430
---
Commit b26f9cd44 authored by David Norman<DavidNorman@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Ensure that the multi-instruction fuse can take shared inputs (#11748)
* Ensure that the multi-instruction fuse can take shared inputs
Note that the fuse action only works when the shared input / constant
appears after all of its consumers in the list of instructions.
* Add a comment describing the test
---
Commit 34cbf161d authored by Jiri Simsa<jsimsa@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update Dataset API documentation.
PiperOrigin-RevId: 163349457
---
Commit 2381ce5c3 authored by Abdullah Alrasheed<a.rasheed@tc-sa.com>
Committed by Vijay Vasudevan<vrv@google.com>:
DOC: Fix typo. (#11813)
you could could be I/O bottlenecked.
TO:
you could be I/O bottlenecked.
---
Commit e4a5c5356 authored by Toby Boyd<tobyboyd@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
["Variable", "VariableV2", "VarHandleOp"] is the default for ps_ops=None
PiperOrigin-RevId: 163344629
---
Commit 722f6f361 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix TensorForest's saveable object names so loading a savedmodel works.
PiperOrigin-RevId: 163332598
---
Commit cda80a785 authored by Eric Liu<ioeric@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[tpu profiler] Dump HLO graphs in profile responses to the log directory.
PiperOrigin-RevId: 163318992
---
Commit cea9ef6f5 authored by horance<horance-liu@users.noreply.github.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refactoring device name utils (#11797)
* remove duplicated code for full_name and legacy_name for DeviceNameUtils
* replace tabs
* Real->Device
---
Commit 1f7c0f917 authored by Kongsea<kongsea@gmail.com>
Committed by Vijay Vasudevan<vrv@google.com>:
Refine docstrings (#11800)
---
Commit dd1f0cddd authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Supports lookup devices by fullname either in the canonical form or the
legacy form. This makes DeviceSet behaves the same as DeviceMgr's
FindDevice method.
PiperOrigin-RevId: 163300346
---
Commit 631a364cd authored by Kay Zhu<kayzhu@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add Reduce, DynamicSlice and DynamicSliceUpdate to HloEvaluator.
- Reduce is disabled explicitly for constant folding, as not all types of
embedded computation can be currently supported by the evaluator.
- Added support to evaluate HloModule to HloEvaluator.
- Minor signature change to Evaluate().
PiperOrigin-RevId: 163299238
---
Commit a52470172 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Sets the incarnation number even when the attribute is set.
PiperOrigin-RevId: 163299121
---
Commit a49fe0366 authored by Suharsh Sivakumar<suharshs@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove platform bridge for grpc_response_reader.
PiperOrigin-RevId: 163295986
---
Commit 4404aa7cb authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add TODO comment explaining why the IsScalar check exists.
PiperOrigin-RevId: 163292777
---
Commit 43036ac16 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove unnecessary break statements.
PiperOrigin-RevId: 163291947
---
Commit fd5de4690 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Add regression test for a corner case using Reduce that currently fails with the GPU backend.
PiperOrigin-RevId: 163287986
---
Commit 32e198f2d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[TF:XLA] Add tf.cross support.
See #11788
PiperOrigin-RevId: 163287731
---
Commit 88abddbc3 authored by Alan Yee<alyee@ucsd.edu>
Committed by Vijay Vasudevan<vrv@google.com>:
Update README.md (#11793)
Remove bad practices of sudo pip and install use safer pip install commands
---
Commit 9b30dc3a8 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Remove final mentions of `get_shape` in docstring.
PiperOrigin-RevId: 163282839
---
Commit 423c1eea0 authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
BREAKING CHANGE: Fix semantic error in how maybe_batch* handles sparse tensors.
PiperOrigin-RevId: 163276613
---
Commit 6028c071b authored by Justin Lebar<jlebar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Highlight incoming/outgoing edges on hover in HLO graphviz dumps, and other improvements.
Other improvements:
- Don't show tooltips for nodes and clusters. Previously we'd show a
tooltip containing a pointer value expressed as decimal. Not so
useful.
- Show tooltips on edges with the to/from node names.
- Fix bug wherein if we had
- a node at the "edge" of the graph (so its operands aren't included
unless they're referenced by another node),
- with all of its operands included in the graph save one or more
constants, and
- those constants weren't referenced by any nodes not at the edge of
the graph,
we would incorrectly draw the node as "grayed out", indicating that
one of its operands (namely, its constant operand) wasn't present in
the graph.
This is wrong because constants are inlined into their users, so they
should always count as "displayed" for the purposes of determining
whether a node is grayed out.
PiperOrigin-RevId: 163276108
---
Commit ce7a355bd authored by Joshua V. Dillon<jvdillon@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Update contrib/distributions/estimator_test build dependency.
PiperOrigin-RevId: 163272464
---
Commit 1b8458a1c authored by A. Unique TensorFlower<gardener@tensorflow.org>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Shorten docstring line.
PiperOrigin-RevId: 163269709
---
Commit 69e323cc6 authored by Asim Shankar<ashankar@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Fix comment ypo
PiperOrigin-RevId: 163266376
---
Commit 08790e73d authored by Chris Leary<leary@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
[XLA] Fix a bug in cloning outfeeds, carried the wrong shape.
PiperOrigin-RevId: 163265592
---
Commit 1bad826d6 authored by Yangzihao Wang<yangzihao@google.com>
Committed by TensorFlower Gardener<gardener@tensorflow.org>:
Rollback of GPU kernel implementation of transpose for tensors with one small dimension.
END_PUBLIC
BEGIN_PUBLIC
BEGIN_PUBLIC
Automated g4 rollback of changelist 162525519
PiperOrigin-RevId: 163490703
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legacy form. This makes DeviceSet behaves the same as DeviceMgr's
FindDevice method.
PiperOrigin-RevId: 163300346
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Because some higher level APIs continue to use the legacy name format,
when using ClusterSpec propagation, we need to ensure that we register
the devices under their legacy names as well as their canonical names.
PiperOrigin-RevId: 159885777
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Change: 148939552
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Change: 138675832
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Send/Recv paths:
o Allow SendOp and RecvOp implementations to directly use the string buffer
contained in a Rendezvous::ParsedKey object, rather than allocating their
own string object. Saves two allocations per Send/Recv pair.
o Use std::move in a few places to avoid copying a std::function object.
o Eliminated unused ParsedName variable declaration in
DeviceNameUtils::ParseLocalName.
Change: 127630066
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done by models distributed across many devices. A small
microbenchmark model that runs two banks (A and B) of 30 nodes with a
30x30 full shuffle between them, where each of the nodes in A and in B
run with one node on each of the 30 devices (so 30*29+30+30, or ~930
separate RPCs) was showing ~111,000 allocations per iteration of the graph.
With the changes here, this is now down to ~64,300 allocations per iteration.
Changes include:
o DeviceContext::CopyDeviceTensorToCPU and related helper routines:
use StringPiece instead of const string& for the tensor name (avoids
creating a string in some cases where the caller only has a
StringPiece available).
o Change some Rendezvous and BaseRemoteRendezvous interfaces to
take a 'const Rendezvous::ParsedKey& key', rather than 'const string& key'.
In many cases, the callers were already having to parse the key
into a ParsedKey, and so we were doing the parsing multiple times at
different levels as we processed receiving or sending of a tensor. This
reduces the number of times that we parse a key as it flows from a Send
node through to a Recv node on another worker.
o Changed Rendezvous::ParsedKey so that it makes a copy of the underlying
full key, and then uses StringPiece objects to point into this copy for
the src_device, dst_device, and edge_name pieces. This turns 3 string
allocations into 1 per Rendezvous::ParseKey call.
o Added new StringPiece Rendezvous::ParsedKey::FullKey() accessor to
return a StringPiece for the underlying full key, and used that in a
few places (mostly logging) where that is useful.
o In many places, used std::move(function_variable) when assigning to
an instance variable. This eliminates a very large number of excess
std::function allocations/initializations (~56000 of the baseline
allocations were related to std::function setup or cloning, and this
is now down to ~11000 after this cl).
o In the RPC-based remote workers (StubbyRemoteWorker and
GrpcRemoteWorker), changed the code path in RecvTensorAsync to avoid
creation of a std::function with 6 arguments unless necessary. There
are three cases now handled separately:
(a) We're not logging, and we didn't make a copy of the request that we
need to free: just use the passed in 'StatusCallback done' object
directly, without creating a wrapper std::function object at all
(b) We're not logging, but we made a copy of the request that we
need to free: we create a simple wrapper std::function that
invokes the passed in 'done' callback, and then frees the
req_copy request copy object.
(c) We're logging: we create the std::function object with all the
necessary state to log when the recv has finished.
o Changed DeviceMgr::LookupDevice to take a StringPiece, rather than a
const string&, and changed the hash table to use StringPiece keys.
This allows clients that just have a StringPiece device name in their
hand to avoid a string creation to lookup the Device* object.
o Changed ExecutorState to use a specialized TaggedNodeReadyQueue that
internally uses a gtl::InlinedVector<TaggedNode, 16>, rather than
using a std::deque<TaggedNode> for keeping track of nodes ready to
execute. This is faster because it avoids allocations entirely if the
ready node queue doesn't get bigger than 16, and inlined vectors are
generally faster than std::deque, at a minor risk of using more memory
if this queue grows to very large numbers of ready nodes (mostly imaginable
only in pathological graphs).
o In ExecutorState::Process, allocated a single ExecutorState::AsyncState
object to keep track of all the state we need to preserve for an asynchronously
executed node, rather than keeping this state implicitly via a very large
number of arguments to a lamda function.
o Added new atomic std::atomic<bool> status_is_ok_ in
BaseRemoteRendezvous. This allows us to avoid acquiring the lock when
we just want to check if the status is non-OK in
BaseRemoteRendezvous::Send and BaseRemoteRendezvous::ValidateDevices.
o In GraphMgr::RunAllDone, changed assignment of args.runner to avoid
one extra level of std::function indirection (binding the function directly
to the ThreadPool::Schedule routine, rather than creating an intermediate
lambda function that invokes this inside the body of the lambda.
o Added freelist of RpcRecvTensorCall objects in
third_party/tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.cc
o Changed third_party/tensorflow/core/framework/rendezvous.cc to keep the
hashtable of Item* objects keyed by uint64 (hash of the tensor name), rather
than the full-string tensor name. Collisions in the 64-bit hash space
should basically never happen.
o Sped up DeviceNameUtils::ParseFullName by optimizing for the common
ordering of parts of /job, /replica, /task, /device. The parsing code
was general enough to handle any order, but did so by comparing the
prefixes 4, 3, 2, and 1 times, respectively, rather than 1, 1, 1, and 1 times.
o Sped up DeviceNameUtils::SplitDeviceName to avoid extra string copies.
Change: 125991891
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Change: 123900938
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Changes:
* error message that refers to removed `DefaultSession` method.
* -Wnull-conversion warnings
* the "_start_time" attr for recvs when the flag "--brain_enable_scheduling_for_recvs" is set.
* typo in tutorial data download progress message.
* a typo ("however their installing"=>"however installing").
* typo, rename "TensorFlow Mechanics" to "How To" to be consistent with the website.
* a typo ("subtact"=>"subtract").
* protobuf examples in comments in tensorflow::Example.proto.
* formula formatting in MNIST beginner tutorial
* negative fraction-of-queue-full stats
* protobuf inclusion path so that Android demo will build under Blaze.
* small typo (moderatly > moderately)
* Session.run() to check that tensor arguments come from the session's graph.
* another six import
* seq2seq typo in bazel command
Base CL: 108349164
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TensorFlow is an open source software library for numerical computation
using data flow graphs.
Base CL: 107276108
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Rohan Jain
A. Unique TensorFlower
Vijay Vasudevan
Brennan Saeta
Benoit Steiner
A. Unique TensorFlower
Manjunath Kudlur