| Commit message (Collapse) | Author | Age |
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Change: 126371321
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Change: 126219121
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Update the minimum required Bazel version to 0.3.0 which includes the bugfix.
Change: 126189429
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Change: 126099328
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since some device stats can skew results.
Change: 126089107
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Change: 125714059
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Change: 124370170
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Change: 123856343
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Change: 123427036
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Change: 123342870
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Change: 123047093
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Change: 122573818
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Change: 122095172
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Add iron-demo-helpers as a devDependency.
Remove lodash from list of auto_added dependencies (we do directly depend on it).
Change: 122008402
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Change: 121901838
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Change: 120963189
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Change: 120004793
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Also update typings in package.json and add typing dependency on sinon (its provided by wct)
Change: 119988943
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Update bower dependencies.
Also force urls to lowercase.
Change: 119584968
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Change: 118834399
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Change: 118532471
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Change: 117011137
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Change: 116908297
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Change: 116906391
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This includes a gRPC server (grpc_tensorflow_server) that can serve as both
the master of a distributed TensorFlow computation, and an individual worker
in the computation. The GrpcSession class is included to allow client programs
(including Python clients) to interact with a server.
See tensorflow/core/distributed_runtime/README.md for usage instructions.
This change partially addresses issue #23.
Change: 115634191
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Remove some unnecessary devDependencies, e.g. accessibility_developer_tools and chai.
Change: 115613184
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Change: 115515678
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Change: 115280348
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Change: 115268843
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floats in TensorFlow. The code was tested on Tegra x1.
Change: 115253733
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used by tf-regex-group, tf-categorizer and tf-collapsable-pane components. Also make the version number exact instead of ^1.0.0, and make it match the version inside google.
Change: 114987970
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Change: 114806277
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Change: 114796968
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also fixes the problem where users are asked which version of polymer to install when they run `bower install`.
Change: 114774859
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Change: 114585944
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Eigen::CompleteOrthogonalDecomposition (COD), which I recently contributed to Eigen in https://bitbucket.org/eigen/eigen/pull-requests/163/implement-complete-orthogonal/diff
The advantage of COD over column pivoted QR is that it is able to compute the minimum-norm solution when the matrix is rank-deficient, which is usually the desired behavior and makes it consistent with the fast path.
Change: 114483303
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Change: 114243879
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stability improvements
Change: 113791782
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Change: 113773458
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Change: 113371678
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Change: 113114631
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Change: 112920860
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* Move some checks out of inner loops
* Split the mapper in 2: a base mapper, and a sub-mapper. This reduces the number of variables that are contained in the base mapper and helps reduce register spills
Change: 112809881
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Change: 112699191
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matrix-vector products and provides various fixes for CUDA.
Change: 112298067
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well the crash reported in https://github.com/tensorflow/tensorflow/issues/713.
Change: 111874622
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reductions on GPU"
Change: 111739152
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Change: 111713364
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imported.
Change: 110842260
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