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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 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K 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 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K 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 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
// "/job:localhost/replica:0/task:0/device:GPU:1"} // Then executing an operation on CUSTOM:0 will execute it on GPU:0 and GPU:1. // // Implicit copies onto `device_name` are allowed, replicating the value once // per device in `underlying_devices`. Implicit copies off of the device throw // an error. // // All component tensors must have the same dtype. Currently they must also have
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/c_api.h
// like shadowing a numpy array. // * We do not provide TF_OK since it is not strictly necessary and we // are not optimizing for convenience. // * We make assumption that one session has one graph. This should be // fine since we have the ability to run sub-graphs. // * We could allow NULL for some arguments (e.g., NULL options arg). // However since convenience is not a primary goal, we don't do this.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/c_api.h
TF_Function* function, TF_Status* status); // Removes a function from the context. Once removed, you can no longer // TFE_Execute it or TFE_Execute any TFE_Op which has it as an attribute or any // other function which calls it as an attribute. TF_CAPI_EXPORT extern void TFE_ContextRemoveFunction(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/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 30 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 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K 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 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
// Consumes the internal state of the tape (so cannot be called more than // once unless the tape is persistent) and produces the gradient of the target // tensors with respect to the source tensors. The output gradients are used // if not empty and not null. The result is populated with one tensor per // target element. Status ComputeGradient(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)