RunOptions.Experimental.Builder

מחלקה סופית סטטית ציבורית 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.
Tensorflow מסוג tensorflow.RunOptions.Experimental

שיטות ציבוריות

RunOptions.Experimental.Builder
addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
RunOptions.ניסוי
לבנות ()
RunOptions.ניסוי
buildPartial ()
RunOptions.Experimental.Builder
ברור ()
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).
RunOptions.Experimental.Builder
clearField (שדה com.google.protobuf.Descriptors.FieldDescriptor)
RunOptions.Experimental.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
RunOptions.Experimental.Builder
clearRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
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.
RunOptions.Experimental.Builder
שיבוט ()
ארוך
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.ניסוי
getDefaultInstanceForType ()
final static 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;
בוליאני
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.
בוליאני
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
בוליאנית סופית
isinitialized ()
RunOptions.Experimental.Builder
mergeFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions.Experimental.Builder
mergeFrom (com.google.protobuf.Message אחר)
RunOptions.Experimental.Builder
mergeRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions )
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
Final RunOptions.Experimental.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
RunOptions.Experimental.Builder
setCollectiveGraphKey (ערך ארוך)
 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.Builder
setField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
RunOptions.Experimental.Builder
setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס אינט, ערך אובייקט)
RunOptions.Experimental.Builder
setRunHandlerPoolOptions (ערך 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;
Final RunOptions.Experimental.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
RunOptions.Experimental.Builder
setUseRunHandlerPool (ערך בוליאני)
 If true, then operations (using the inter-op pool) across all
 session::run() calls will be centrally scheduled, optimizing for (median
 and tail) latency.

שיטות בירושה

שיטות ציבוריות

public RunOptions.Experimental.Builder addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)

public RunOptions. build ניסיוני ()

public RunOptions.Experimental buildPartial ()

public RunOptions.Experimental.Builder clear ()

public 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;

public RunOptions.Experimental.Builder clearField (שדה com.google.protobuf.Descriptors.FieldDescriptor)

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

public RunOptions.Experimental.Builder clearRunHandlerPoolOptions ()

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

public 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;

שיבוט RunOptions.Experimental.Builder ציבורי ()

public long 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;

public RunOptions.Experimental getDefaultInstanceForType ()

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

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

public RunOptions.Experimental.RunHandlerPoolOptions getRunHandlerPoolOptions ()

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

public RunOptions.Experimental.RunHandlerPoolOptions.Builder getRunHandlerPoolOptionsBuilder ()

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

public RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder getRunHandlerPoolOptionsOrBuilder ()

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

getUseRunHandlerPool ציבורי בוליאני () 

 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;

בוליאני ציבורי hasRunHandlerPoolOptions ()

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

בוליאני הסופי הציבורי הוא אתחול ()

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

זורק
IOException

public RunOptions.Experimental.Builder mergeFrom (com.google.protobuf.Message אחר)

public RunOptions.Experimental.Builder mergeRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions )

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

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

public RunOptions.Experimental.Builder setCollectiveGraphKey (ערך ארוך) 

 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 (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)

public RunOptions.Experimental.Builder setRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, אינדקס int, ערך אובייקט)

public RunOptions.Experimental.Builder setRunHandlerPoolOptions (ערך RunOptions.Experimental.RunHandlerPoolOptions )

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

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

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

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

public RunOptions.Experimental.Builder setUseRunHandlerPool (ערך בוליאני) 

 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;