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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
/// Look up the entry with key `key` and copy it to `value` if found. If not /// found, call `compute_func`. If `compute_func` set `status` to `TF_OK`, /// store a copy of the output parameter in the cache, and another copy in /// `value`. void LookupOrCompute(const std::string& key, T* value, const ComputeFunc& compute_func, TF_Status* status) {
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_unified_experimental.h
// ----------------------------------------------------------------------------- // Core APIs // ----------------------------------------------------------------------------- // A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext;
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/experimental/filesystem/plugins/gcs/cleanup.h
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_CLEANUP_H_ #include <type_traits> #include <utility> namespace tf_gcs_filesystem { // A move-only RAII object that calls a stored cleanup functor when // destroyed. Cleanup<F> is the return type of gtl::MakeCleanup(F). template <typename F> class Cleanup { public: Cleanup() : released_(true), f_() {} template <typename G>
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.h
// partitioned tensor are combined into a single entry. const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const; // Attempts to look up the tensor named "name" and stores the found result in // "out_tensor". void GetTensor(const string& name, std::unique_ptr<tensorflow::Tensor>* out_tensor, TF_Status* out_status) const; private:
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/gradients.h
// `GradientTape::Watch`.) The op_id is simply a unique index assigned to each // op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. //
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)