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tensorflow/c/eager/immediate_execution_distributed_manager.h
// Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def, int keep_alive_secs) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// // Below here we do the gradient algorithm. It works as follows: // // First we filter the tape to just the subset of operations we want to // differentiate. In the process of doing so we count how many times each Tensor // is used as an input to an op (so we know when we're done computing gradients // for that Tensor). We also count, for each tape entry, how many of its output
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/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping
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)