| Commit message (Collapse) | Author | Age |
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keras.SimpleRNNCell.
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yongtang:22115-tf.contrib.image.transform-float16-gpu
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requested device placement of the XlaLaunch op must be derived from the subgraph.
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contain additional boilerplate later on. Unfortunately it could not be extended to include the error handling.
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Where "X" is the parameter number. Previously, fusion parameter names including
the name of the original instruction which produced the value which was
confusing.
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keras_preprocessing.
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- Use absolute links instead of relative links. Relative links
break when published on website.
- Correct NNAPI abbreviation.
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self.session().
* Move from self.test_session(graph=ops.Graph(), ...) to self.session(...) (semantically equivalent).
* Move from self.test_session() to self.cached_session(config=self.config) when run_in_graph_and_eager_modes(config=config) is set to be consistent between eager and non eager modes.
self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about:
* the fact that the session may be reused.
* the session is not closed even when doing a "with self.test_session()" statement.
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--workspace path if provided.
This allows repositories that depend on TensorFlow to execute
'bazel run @org_tensorflow//:configure -- --workspace $(pwd)'
to configure TensorFlow.
END_PUBLIC
Before this change, the .tf_configure.bazelrc ended up in the bazel exec root, and 'bazel clean' would undo the configuration.
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(1) Skip UnaryOpComposition rewrite if the optimized graph needs to have a gradient registered for all nodes.
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context.
This resembles the behaviour for initializer ops.
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- Make parameter always defined before other instructions.
- Add extra indentations to the predecessor field in ToString() method to make it clear.
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Fixes #21719
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Currently, we run tests on machines with GPUs based on the "gpu" tag, and the
tests automatically adapt to whether a GPU is available. Creating two targets,
one tagged with "gpu" and one not, will make us run the tests in both modes.
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of tf.cond, which allows the static shape to be propagated correctly when available.
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learning rate to be modified at runtime. The implementation is not yet complete.
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(actual implementation is pending).
Added comments with pointers to C++ implementations of optimizers.
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kernel supports any combination of the dtypes, and does not need a separate kernel for each dtype.
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48cd2c3f351ff188bc85684b84a91b6e6d17d896
This has absl::flat_hash_map in it.
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