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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
~DeviceThread(); // 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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tensorflow/c/eager/parallel_device/parallel_device.h
// TPUReplicatedInput and TPUReplicatedOutput respectively. For example, with // two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the // parallel device creates a parallel tensor `x` with `a` on the first of // `underlying_devices` and `b` on the second. Running `a_unpacked, b_unpacked = // TPUReplicatedOutput(input=x, num_replicas=2)` un-packs the parallel tensor // into its components. //
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tensorflow/c/eager/c_api_distributed_test.cc
std::vector<std::string>* control_ret_node_names, bool* control_rets_updated) override { // Inject failure to function instantiation if finding a node that contains // the given node name (error_node_) and requested device (error_device_). for (const auto node : graph->get()->nodes()) { if (node->name().find(error_node_) != string::npos &&
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README.md
[![Fuzzing Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/tensorflow.svg)](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow)
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// Adds `value` to the existing value of the variable. void AssignAdd(TFE_Context* context, TFE_TensorHandle* value, TF_Status* status); private: // Helper for running any single-argument assignment ops (Assign, AssignAdd, // AssignSub, ...). void GeneralAssignment(const char* op_name, TFE_Context* context, TFE_TensorHandle* value, TF_Status* status);
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tensorflow/c/env.h
TF_CAPI_EXPORT extern uint64_t TF_NowSeconds(void); // Populates a TF_ThreadOptions struct with system-default values. TF_CAPI_EXPORT extern void TF_DefaultThreadOptions(TF_ThreadOptions* options); // Returns a new thread that is running work_func and is identified // (for debugging/performance-analysis) by thread_name. // // The given param (which may be null) is passed to work_func when the thread
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// // 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. // // Set step_id to configure the step id used for rendezvous creation. step id
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tensorflow/c/eager/parallel_device/parallel_device.cc
return nullptr; } // For TFE_CustomDevice::copy_tensor_from_device in the parallel device // registration. // // Currently this is an error, and un-packing ParallelTensors must be performed // explicitly by running a TPUReplicatedOutput operation on the parallel device. // // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either
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tensorflow/c/c_api.h
// // The returned string is valid only until TF_DeleteServer is invoked. TF_CAPI_EXPORT extern const char* TF_ServerTarget(TF_Server* server); // Destroy an in-process TensorFlow server, frees memory. If server is running // it will be stopped and joined. TF_CAPI_EXPORT extern void TF_DeleteServer(TF_Server* server); // Register a listener method that processes printed messages. //
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tensorflow/c/c_api_experimental.cc
unsigned char TF_GetXlaConstantFoldingDisabled() { return static_cast<unsigned char>( tensorflow::GetBuildXlaOpsPassFlags()->tf_xla_disable_constant_folding); } void TF_SetXlaConstantFoldingDisabled(unsigned char should_enable) { tensorflow::GetBuildXlaOpsPassFlags()->tf_xla_disable_constant_folding = static_cast<bool>(should_enable); } void TF_SetXlaMinClusterSize(int size) { tensorflow::MarkForCompilationPassFlags* flags =
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