RunOptions.ExperimentalOrBuilder

interface estática pública RunOptions.ExperimentalOrBuilder

Subclasses indiretas conhecidas RunOptions.Experimental , RunOptions.Experimental.Builder RunOptions.Experimental Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.  RunOptions.Experimental.Builder Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

Métodos Públicos

abstrato longo	getCollectiveGraphKey () If non-zero, declares that this graph is going to use collective ops and must synchronize step_ids with any other graph with this same group_key value (in a distributed computation where tasks run disjoint graphs).
RunOptions.Experimental.RunHandlerPoolOptions abstrato	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder abstrato	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
booleano abstrato	getUseRunHandlerPool () If true, then operations (using the inter-op pool) across all session::run() calls will be centrally scheduled, optimizing for (median and tail) latency.
booleano abstrato	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

Métodos Públicos

público abstrato longo getCollectiveGraphKey ()

 If non-zero, declares that this graph is going to use collective
 ops and must synchronize step_ids with any other graph with this
 same group_key value (in a distributed computation where tasks
 run disjoint graphs).
 

int64 collective_graph_key = 1;

público abstrato RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

público abstrato RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

público abstrato booleano getUseRunHandlerPool ()

 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
 Consider using this option for CPU-bound workloads like inference.
 

bool use_run_handler_pool = 2;

público abstrato booleano hasRunHandlerPoolOptions ()

.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;