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tensorflow/c/eager/abstract_operation.h
// Returns the operation's device name. // // The value returned may be different from the one set by SetDeviceName, but // it will be compatible with it: the name will be updated by device placement // logic to refer to the specific device chosen. // // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value // returned by DeviceName should be "/device:GPU:*" until a particular GPU is
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
template <typename G> Cleanup(Cleanup<G>&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {} // Assignment to a Cleanup object behaves like destroying it // and making a new one in its place, analogous to unique_ptr // semantics. Cleanup& operator=(Cleanup&& src) { // NOLINT if (!released_) f_(); released_ = src.released_; f_ = src.release(); return *this; }
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory). // If async execution is enabled, the copy may be enqueued and the call will
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/c_api_unified_experimental.h
int TF_OutputListNumOutputs(TF_OutputList* o); // Return the `i`th output in the list. TF_AbstractTensor* TF_OutputListGet(TF_OutputList* o, int i); // Append a tensor at the end of the output list, growing its size by one. void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor, TF_Status*); // TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
// Note: we hold onto mu_ for the rest of this function. In practice, this // is okay, as stat requests are typically fast, and concurrent requests are // often for the same file. Future work can split this up into one lock per // key if this proves to be a significant performance bottleneck. absl::MutexLock lock(&mu_); if (LookupLocked(key, value)) { return TF_SetStatus(status, TF_OK, ""); }
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // ----------------------------------------------------------------------------- // Eager Executor APIs. typedef struct TFE_Executor TFE_Executor; // Creates a new eager Executor. Nodes in one executor are guaranteed to be // executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.h
#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.h
std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>, std::unique_ptr<TensorSliceReader::VarToDataTypeMap> > BuildV2VarMaps(); // Invariant: exactly one of "reader_" and "v2_reader_" is non-null. std::unique_ptr<TensorSliceReader> reader_; std::unique_ptr<BundleReader> v2_reader_; std::unique_ptr<TensorSliceReader::VarToShapeMap> var_to_shape_map_;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
// TF_TriState is the C API typedef for tri-state. typedef enum TF_TriState { TF_TriState_Default = 0, TF_TriState_Off, TF_TriState_On, } TF_TriState; // TF_GrapplerItem represents a combination of a graph, one of more fetch nodes, // and potentially a set of nodes to feed. typedef struct TF_GrapplerItem TF_GrapplerItem; // Flags indicating whether existing optimizers should be turned off.
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
const std::vector<std::string> underlying_devices_; // A sequence of thread wrappers, one per device, for executing operations in // parallel. // // Conceptually this is a thread pool with one thread per device. It requires // less synchronization than a thread pool would for this task, since Execute // acquires each thread in order (and so only one Execute will schedule // blocking collective operations at a time), and avoids some dynamic
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0)