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tensorflow/c/eager/c_api_experimental.h
TFE_MonitoringCounterCell* cell); // APIs for Counter without label. typedef struct TFE_MonitoringCounter0 TFE_MonitoringCounter0; // Returns a new Counter metric object. The caller should manage lifetime of // the object. Using duplicate metric name will crash the program with fatal // error. TF_CAPI_EXPORT extern TFE_MonitoringCounter0* TFE_MonitoringNewCounter0(
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RELEASE.md
Neeraj Pradhan, Nehal J Wani, Neil, Nick, Nick Lewycky, Niels Ole Salscheider, Niklas SilfverströM, Niranjan Hasabnis, Nuka-137, Nutti, ocjosen, olicht, omeir1, P Sudeepam, Paige Bailey, Palmer Lao, Pan Daoxin, Pariksheet Pinjari, Pasquale Minervini, Patrick J. Lopresti, Patrik Gustavsson, Pavel Akhtyamov, Pavel Samolysov, PENGWA, per1234, PeterLee, Phan Van Nguyen Duc, Philipp Jund,
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tensorflow/c/c_api.cc
"Creating while loops is not supported on mobile. File a bug at " "https://github.com/tensorflow/tensorflow/issues if this feature is " "important to you"); #else // If it appears the caller created or modified `params`, don't free resources if (!ValidateConstWhileParams(*params, status)) return; TF_FinishWhileHelper(params, status, outputs); FreeWhileResources(params);
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// 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 // fails on any device in order to cancel the others. void StartExecute(TFE_Context* context, const char* operation_name,
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tensorflow/c/c_api_experimental.cc
// scheduled on that same threadpool, causing a deadlock in cases where the // caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph
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tensorflow/c/eager/tape.h
// Fetches the current Jacobian-vector product associated with `tensor_id`, or // a nullptr if none is available. // // Returns a borrowed reference, i.e. does not run VSpace::MarkAsResult on its // return value. The caller should increment the reference count before // deleting the ForwardAccumulator or calling DeleteGradient if keeping a // persistent reference to a non-null result. Gradient* FetchJVP(int64_t tensor_id);
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