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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
==============================================================================*/ // MakeCleanup(f) returns an RAII cleanup object that calls 'f' in its // destructor. The easiest way to use MakeCleanup is with a lambda argument, // capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example: // void func() { // FILE* fp = fopen("data.txt", "r");
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/eager/tape.h
std::vector<Gradient*>*, bool)> { public: template <typename lambda_type> explicit ForwardFunction(lambda_type lambda) : std::function<Status(const std::vector<Gradient*>&, std::vector<Gradient*>*, bool)>(lambda) {} }; // Computes Jacobian-vector products using forward-mode automatic // differentiation. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
// Returns true if the cache is enabled. If false, the BlockFetcher callback // is always executed during Read. bool IsCacheEnabled() const { return block_size_ > 0 && max_bytes_ > 0; } // We can not pass a lambda with capture as a function pointer to // `TF_StartThread`, so we have to wrap `Prune` inside a static function. static void PruneThread(void* param) { auto ram_file_block_cache = static_cast<RamFileBlockCache*>(param);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0)