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tensorflow/c/c_api_experimental.h
// `tensor_id`, associated with `session`. There must be a graph node named // "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads // from a placeholder node "arg_tensor_enqueue_<tensor_id>". // // `tensor` is still owned by the caller. This call will be blocked if the queue // has reached its capacity, and will be unblocked when the queued tensors again // drop below the capacity due to dequeuing. //
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tensorflow/c/c_api_experimental.cc
<< session->graph->graph.ToGraphDefDebug().DebugString(); } TF_Operation* dequeue_op = TF_GraphOperationByName( session->graph, tensorflow::strings::StrCat("fifo_queue_dequeue_", tensor_id).c_str()); if (dequeue_op == nullptr) { status->status = tensorflow::errors::Internal( "Unable to find the dequeue node in the TF graph."); return nullptr; }
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tensorflow/c/eager/c_api_experimental.h
// have been executed. Note that "execution" here refers to kernel execution / // scheduling of copies, etc. Similar to sync execution, it doesn't guarantee // that lower level device queues (like GPU streams) have been flushed. // // This call may not block for execution of ops enqueued concurrently with this // call. TF_CAPI_EXPORT extern void TFE_ExecutorWaitForAllPendingNodes(
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RELEASE.md
* Added 1D, 2D and 3D Fourier transform ops for real signals to `tf.spectral`. * Added a `tf.bincount` function. * Added Keras 2 API to contrib. * Added a new lightweight queue-like object - `RecordInput`. * Added `tf.contrib.image.compose_transforms` function. * Bring `tf.estimator.*` into the API. Non-deprecated functionality from
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// re-use a thread. std::vector<std::unique_ptr<DeviceThread>> device_threads_; // A cancellation manager to use if the caller does not provide one. When ops // are executed asynchronously this must outlive the queued op, so it can't be // function-local to Execute. mutable std::unique_ptr<CancellationManager> default_cancellation_manager_; }; // Contains a tuple of tensors, one on each of the `underlying_devices_` of the
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