RunOptions.Experimental.Builder

kelas akhir statis publik 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.
Tipe protobuf tensorflow.RunOptions.Experimental

Metode Publik

JalankanOptions.Eksperimental.Builder
addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
RunOptions.Eksperimental
membangun ()
RunOptions.Eksperimental
membangunPartial ()
JalankanOptions.Eksperimental.Builder
jernih ()
JalankanOptions.Eksperimental.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).
JalankanOptions.Eksperimental.Builder
clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor)
JalankanOptions.Eksperimental.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
JalankanOptions.Eksperimental.Builder
clearRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
JalankanOptions.Eksperimental.Builder
hapusUseRunHandlerPool () 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
JalankanOptions.Eksperimental.Builder
klon ()
panjang
dapatkanCollectiveGraphKey () 
 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.Eksperimental
dapatkanDefaultInstanceForType ()
com.google.protobuf.Descriptors.Descriptor statis terakhir
dapatkanDescriptor ()
com.google.protobuf.Descriptors.Descriptor
dapatkanDescriptorForType ()
RunOptions.Eksperimental.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;
boolean
dapatkanUseRunHandlerPool () 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.
boolean
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
boolean terakhir
diinisialisasi ()
JalankanOptions.Eksperimental.Builder
mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
JalankanOptions.Eksperimental.Builder
mergeFrom (com.google.protobuf.Pesan lainnya)
JalankanOptions.Eksperimental.Builder
mergeRunHandlerPoolOptions (nilai RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Eksperimental.Builder terakhir
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
JalankanOptions.Eksperimental.Builder
setCollectiveGraphKey (nilai panjang) 
 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).
JalankanOptions.Eksperimental.Builder
setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
JalankanOptions.Eksperimental.Builder
setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
JalankanOptions.Eksperimental.Builder
setRunHandlerPoolOptions (nilai RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
JalankanOptions.Eksperimental.Builder
setRunHandlerPoolOptions ( RunOptions.Eksperimental.RunHandlerPoolOptions.Builder builderForValue)
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
RunOptions.Eksperimental.Builder terakhir
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
JalankanOptions.Eksperimental.Builder
setUseRunHandlerPool (nilai boolean) 
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

Metode Warisan

Metode Publik

public RunOptions.Experimental.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

RunOptions publik. Pembuatan eksperimental ()

RunOptions publik. BuildPartial eksperimental ()

RunOptions.Experimental.Builder publik jelas ()

RunOptions.Experimental.Builder publik 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;

RunOptions.Experimental.Builder clearField publik (bidang com.google.protobuf.Descriptors.FieldDescriptor)

RunOptions.Experimental.Builder clearOneof publik (com.google.protobuf.Descriptors.OneofDescriptor oneof)

RunOptions.Experimental.Builder publik clearRunHandlerPoolOptions ()

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

RunOptions.Experimental.Builder publik 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;

klon RunOptions.Experimental.Builder publik ()

getCollectiveGraphKey panjang publik () 

 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;

RunOptions publik. GetDefaultInstanceForType eksperimental ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

RunOptions.Experimental.RunHandlerPoolOptions publik getRunHandlerPoolOptions ()

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

RunOptions.Experimental.RunHandlerPoolOptions.Builder publik getRunHandlerPoolOptionsBuilder ()

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

publik RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

boolean publik 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;

boolean publik hasRunHandlerPoolOptions ()

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

boolean akhir publik diinisialisasi ()

RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message lainnya) publik

RunOptions.Experimental.Builder mergeRunHandlerPoolOptions publik (nilai RunOptions.Experimental.RunHandlerPoolOptions )

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

RunOptions.Experimental.Builder mergeUnknownFields final publik (com.google.protobuf.UnknownFieldSet unknownFields)

public RunOptions.Experimental.Builder setCollectiveGraphKey (nilai panjang) 

 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;

public RunOptions.Experimental.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)

public RunOptions.Experimental.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)

RunOptions.Experimental.Builder setRunHandlerPoolOptions publik (nilai RunOptions.Experimental.RunHandlerPoolOptions )

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

RunOptions.Experimental.Builder setRunHandlerPoolOptions ( RunOptions.Experimental.RunHandlerPoolOptions.Builder builderForValue)

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

RunOptions.Experimental.Builder setUnknownFields final publik (com.google.protobuf.UnknownFieldSet unknownFields)

RunOptions.Experimental.Builder setUseRunHandlerPool publik (nilai boolean) 

 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;