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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// `StartExecute`s will deadlock). // // If `is_async=false` (constructor argument), `cancellation_manager` must // live until `Join` finishes. If `is_async=true` it must live until `Join` is // followed by `TFE_ContextAsyncWait` to clear pending operations. It will be // used to cancel all other operations if any fails. //
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Requests that the worker thread execute the specified operation. Blocks // until the previously pending operation (a StartExecute without a Join) has // finished, if any. // // `cancellation_manager` must live until after `Join` finishes and pending // `is_async` operations finish. In addition to allowing the caller to cancel // the operation, its `StartCancel` method will be called if op execution
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CONTRIBUTING.md
of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in [tensorflow/addons](https://github.com/tensorflow/addons) to get some airtime before a decision is made regarding whether they are to be migrated to the core.
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RELEASE.md
* Other: * Add necessary shape util support for bfloat16. * Add a way to run ops using a step function to MonitoredSession. * Add `DenseFlipout` probabilistic layer. * A new flag `ignore_live_threads` is available on train. If set to `True`, it will ignore threads that remain running when tearing down infrastructure after successfully completing training, instead of throwing a RuntimeError.
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