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ci/devinfra/docker_windows/Dockerfile
choco install KB2999226; \ choco install KB3033929; \ choco install KB3035131; \ choco install maven; \ choco install ninja; \ choco install nodejs --version 9.3.0; \ choco install nodejs.install --version 9.3.0; \ choco install nuget.commandline; \ choco install openjdk11; \ choco install peazip; \ choco install peazip.install; \
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SECURITY.md
computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph). Since models are practically programs that TensorFlow executes, using untrusted models or graphs is equivalent to running untrusted code. If you need to run untrusted models, execute them inside a [**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions
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RELEASE.md
* `tf.saved_model.SaveOptions` * `SaveOptions` now takes a new argument called `experimental_debug_stripper`. When enabled, this strips the debug nodes from both the node defs and the function defs of the graph. Note that this currently only strips the `Assert` nodes from the graph and converts them into `NoOp`s instead. * `tf.data` * `tf.data` now has an `autotune_options.initial_parallelism` option to
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tensorflow/BUILD
"//smartass/brain/configure/...", "//tensorflow/...", "//tensorflow_decision_forests/...", "//tensorflow_federated/...", "//tensorflow_models/google/recml/...", "//third_party/cloud_tpu/convergence_tools/sdc_monitoring/...", "//third_party/cloud_tpu/inference_converter/...", "//third_party/py/cloud_ml_autoflow/...",
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README.md
## Resources * [TensorFlow.org](https://www.tensorflow.org) * [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/) * [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official) * [TensorFlow Examples](https://github.com/tensorflow/examples) * [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
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