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.
 
סוג Protobuf tensorflow.RunOptions.Experimental

שיטות ציבוריות

RunOptions.Experimental.Builder
addRepeatedField (שדה com.google.protobuf.Descriptors.FieldDescriptor, ערך אובייקט)
RunOptions.ניסוי
RunOptions.ניסוי
RunOptions.Experimental.Builder
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
אָרוֹך
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
final static com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
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
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

בוליאני
שווה (Object arg0)
כיתה אחרונה<?>
getClass ()
int
hashcode ()
ריק סופי
להודיע ​​()
ריק סופי
הודע הכל ()
חוּט
toString ()
ריק סופי
המתן (ארג0 ארוך, אינט arg1)
ריק סופי
המתן (ארג0 ארוך)
ריק סופי
חכה ()
org.tensorflow.proto.framework.RunOptions.ExperimentalOrBuilder
מופשט 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).
תקציר RunOptions.Experimental.RunHandlerPoolOptions
getRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
תקציר RunOptions.Experimental.RunHandlerPoolOptionsOrBuilder
getRunHandlerPoolOptionsOrBuilder ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;
בוליאני מופשט
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 מופשט
hasRunHandlerPoolOptions ()
.tensorflow.RunOptions.Experimental.RunHandlerPoolOptions run_handler_pool_options = 3;

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 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;