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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// Eager async execution is only supported when remote eager is not in use // (b/157523095). explicit ParallelDevice(const std::vector<std::string>& devices, bool is_async = false, int in_flight_nodes_limit = 0); ~ParallelDevice(); // Helper to copy a tensor handle from another device once for each component // of the ParallelDevice. // // Sets a bad status and returns a nullptr if `tensor` is already on the
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
TF_Buffer* buf, TF_Status* status); // Some TF ops need a step container to be set to limit the lifetime of some // resources (mostly TensorArray and Stack, used in while loop gradients in // graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/c_test.c
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include <limits.h> #include <memory.h> #include <stdio.h> #include <stdlib.h> #include <time.h> #include <unistd.h> #ifdef _WIN32 #include <process.h> #endif #include "tensorflow/c/c_api.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
/// /// This class is thread safe. template <typename T> class ExpiringLRUCache { public: /// A `max_age` of 0 means that nothing is cached. A `max_entries` of 0 means /// that there is no limit on the number of entries in the cache (however, if /// `max_age` is also 0, the cache will not be populated). ExpiringLRUCache(uint64_t max_age, size_t max_entries,
C - Registered: Tue Apr 30 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
// 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 // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes. // The effect is bounding the memory held by inflight TensorHandles that are
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/tfe_executor_internal.h
struct TFE_Executor { explicit TFE_Executor(bool async, bool enable_streaming_enqueue, int in_flight_nodes_limit) : owned_executor(new tensorflow::EagerExecutor( async, enable_streaming_enqueue, in_flight_nodes_limit)) {} explicit TFE_Executor(tensorflow::EagerExecutor* executor) : owned_executor(nullptr), unowned_executor(executor) {}
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Nov 22 20:30:59 GMT 2022 - 1.5K bytes - Viewed (0)