RunOptions.ExperimentalOrBuilder

सार्वजनिक स्थैतिक इंटरफ़ेस RunOptions.ExperimentalOrBuilder

ज्ञात अप्रत्यक्ष उपवर्ग RunOptions.Experimental , RunOptions.Experimental.Builder RunOptions.प्रायोगिक Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.  RunOptions.प्रायोगिक.बिल्डर Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.

सार्वजनिक तरीके

अमूर्त लंबा	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).
सार RunOptions.Experimental.RunHandlerPoolOptions	getRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
सार RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder	getRunHandlerPoolOptionsOrBuilder () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
अमूर्त बूलियन	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.
अमूर्त बूलियन	hasRunHandlerPoolOptions () .tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

सार्वजनिक तरीके

सार्वजनिक सार लंबा 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;

सार्वजनिक सार RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

सार्वजनिक सार RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

सार्वजनिक सार बूलियन 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;

सार्वजनिक सार बूलियन hasRunHandlerPoolOptions ()

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