RunOptions.Experimental.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग 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.
प्रोटोबफ़ प्रकार tensorflow.RunOptions.Experimental

सार्वजनिक तरीके

RunOptions.प्रायोगिक.बिल्डर
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
RunOptions.प्रायोगिक
निर्माण ()
RunOptions.प्रायोगिक
बिल्डआंशिक ()
RunOptions.प्रायोगिक.बिल्डर
स्पष्ट ()
RunOptions.प्रायोगिक.बिल्डर
क्लियरकलेक्टिवग्राफकी ()
 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.प्रायोगिक.बिल्डर
क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
RunOptions.प्रायोगिक.बिल्डर
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
RunOptions.प्रायोगिक.बिल्डर
ClearRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.प्रायोगिक.बिल्डर
ClearUseRunHandlerPool ()
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
RunOptions.प्रायोगिक.बिल्डर
क्लोन ()
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).
RunOptions.प्रायोगिक
getDefaultInstanceForType ()
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
RunOptions.Experimental.RunHandlerPoolOptions
getRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptions.Builder
getRunHandlerPoolOptionsBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder
getRunHandlerPoolOptionsOrBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
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.
बूलियन
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
अंतिम बूलियन
प्रारंभ किया गया है ()
RunOptions.प्रायोगिक.बिल्डर
मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
RunOptions.प्रायोगिक.बिल्डर
मर्जफ्रॉम (com.google.protobuf.Message अन्य)
RunOptions.प्रायोगिक.बिल्डर
mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions मान)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
अंतिम RunOptions.Experimental.Builder
मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
RunOptions.प्रायोगिक.बिल्डर
setCollectiveGraphKey (लंबा मान)
 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.प्रायोगिक.बिल्डर
सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
RunOptions.प्रायोगिक.बिल्डर
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
RunOptions.प्रायोगिक.बिल्डर
setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions मान)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.प्रायोगिक.बिल्डर
setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder BuilderForValue)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
अंतिम RunOptions.Experimental.Builder
अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)
RunOptions.प्रायोगिक.बिल्डर
setUseRunHandlerPool (बूलियन मान)
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

विरासत में मिली विधियाँ

सार्वजनिक तरीके

सार्वजनिक RunOptions.Experimental.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक RunOptions.प्रायोगिक निर्माण ()

सार्वजनिक RunOptions.प्रायोगिक बिल्डआंशिक ()

सार्वजनिक RunOptions.Experimental.Builder स्पष्ट ()

सार्वजनिक RunOptions.Experimental.Builder ClearCollectiveGraphKey () 

 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 RunOptions.Experimental.Builder ClearField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक RunOptions.Experimental.Builder ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक RunOptions.Experimental.Builder ClearRunHandlerPoolOptions ()

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

सार्वजनिक RunOptions.Experimental.Builder ClearUseRunHandlerPool () 

 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 RunOptions.Experimental.Builder क्लोन ()

सार्वजनिक लंबे समय तक 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 RunOptions.प्रायोगिक getDefaultInstanceForType ()

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

सार्वजनिक RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

सार्वजनिक RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

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

सार्वजनिक RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

सार्वजनिक 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 बूलियन hasRunHandlerPoolOptions ()

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

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओ अपवाद

सार्वजनिक RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message अन्य)

सार्वजनिक RunOptions.Experimental.Builder mergeRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions मान)

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

सार्वजनिक अंतिम RunOptions.Experimental.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातFields)

सार्वजनिक RunOptions.Experimental.Builder setCollectiveGraphKey (लंबा मान) 

 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 RunOptions.Experimental.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक RunOptions.Experimental.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, int अनुक्रमणिका, ऑब्जेक्ट मान)

सार्वजनिक RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions मान)

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

सार्वजनिक RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder BuilderForValue)

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

सार्वजनिक अंतिम RunOptions.Experimental.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet अज्ञातFields)

सार्वजनिक RunOptions.Experimental.Builder setUseRunHandlerPool (बूलियन मान) 

 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;