RunOptions

RunOptions kelas akhir publik

 Options for a single Run() call.
 
Protobuf mengetik tensorflow.RunOptions

Kelas Bersarang

kelas JalankanOptions.Builder
 Options for a single Run() call. 
kelas RunOptions.Eksperimental
 Everything inside Experimental is subject to change and is not subject
 to API stability guarantees in
 https://www.tensorflow.org/guide/version_compat. 
antarmuka JalankanOptions.ExperimentalOrBuilder
enum JalankanOptions.TraceLevel
 TODO(pbar) Turn this into a TraceOptions proto which allows
 tracing to be controlled in a more orthogonal manner?
 
Protobuf enum tensorflow.RunOptions.TraceLevel

Konstanta

ke dalam DEBUG_OPTIONS_FIELD_NUMBER
ke dalam EXPERIMENTAL_FIELD_NUMBER
ke dalam INTER_OP_THREAD_POOL_FIELD_NUMBER
ke dalam OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER
ke dalam REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER
ke dalam TIMEOUT_IN_MS_FIELD_NUMBER
ke dalam TRACE_LEVEL_FIELD_NUMBER

Metode Publik

boolean
sama dengan (Objek objek)
Opsi Debug
dapatkanDebugOptions ()
 EXPERIMENTAL.
DebugOptionsOrBuilder
RunOptions statis
Opsi Jalankan
com.google.protobuf.Descriptors.Descriptor statis terakhir
RunOptions.Eksperimental
dapatkan Eksperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;
JalankanOptions.ExperimentalOrBuilder
dapatkanExperimentalOrBuilder ()
.tensorflow.RunOptions.Experimental experimental = 8;
ke dalam
dapatkanInterOpThreadPool ()
 The thread pool to use, if session_inter_op_thread_pool is configured.
boolean
dapatkanOutputPartitionGraphs ()
 Whether the partition graph(s) executed by the executor(s) should be
 outputted via RunMetadata.
boolean
dapatkanReportTensorAllocationsUponOom ()
 When enabled, causes tensor allocation information to be included in
 the error message when the Run() call fails because the allocator ran
 out of memory (OOM).
ke dalam
panjang
dapatkanTimeoutInMs ()
 Time to wait for operation to complete in milliseconds.
JalankanOptions.TraceLevel
dapatkanTraceLevel ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
ke dalam
dapatkanTraceLevelValue ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
final com.google.protobuf.UnknownFieldSet
boolean
hasDebugOptions ()
 EXPERIMENTAL.
boolean
memiliki Eksperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;
ke dalam
boolean terakhir
RunOptions.Builder statis
newBuilder (prototipe RunOptions )
RunOptions.Builder statis
JalankanOptions.Builder
RunOptions statis
parseDelimitedFrom (masukan Aliran Masukan)
RunOptions statis
parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions statis
parseFrom (data ByteBuffer)
RunOptions statis
parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions statis
parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions statis
parseFrom (com.google.protobuf.CodedInputStream masukan)
RunOptions statis
parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions statis
parseFrom (com.google.protobuf.ByteString data)
RunOptions statis
parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunOptions statis
parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statis
JalankanOptions.Builder
ruang kosong
writeTo (com.google.protobuf.CodedOutputStream keluaran)

Metode Warisan

Konstanta

int akhir statis publik DEBUG_OPTIONS_FIELD_NUMBER

Nilai Konstan: 6

int akhir statis publik EXPERIMENTAL_FIELD_NUMBER

Nilai Konstan: 8

int akhir statis publik INTER_OP_THREAD_POOL_FIELD_NUMBER

Nilai Konstan: 3

int akhir statis publik OUTPUT_PARTITION_GRAPHS_FIELD_NUMBER

Nilai Konstan: 5

int final statis publik REPORT_TENSOR_ALLOCATIONS_UPON_OOM_FIELD_NUMBER

Nilai Konstan: 7

int final statis publik TIMEOUT_IN_MS_FIELD_NUMBER

Nilai Konstan: 2

int akhir statis publik TRACE_LEVEL_FIELD_NUMBER

Nilai Konstan: 1

Metode Publik

boolean publik sama (Obj objek)

DebugOptions publik getDebugOptions ()

 EXPERIMENTAL.  Options used to initialize DebuggerState, if enabled.
 
.tensorflow.DebugOptions debug_options = 6;

publik DebugOptionsOrBuilder getDebugOptionsOrBuilder ()

 EXPERIMENTAL.  Options used to initialize DebuggerState, if enabled.
 
.tensorflow.DebugOptions debug_options = 6;

RunOptions statis publik getDefaultInstance ()

RunOptions publik getDefaultInstanceForType ()

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

RunOptions publik. Geteksperimental eksperimental ()

.tensorflow.RunOptions.Experimental experimental = 8;

RunOptions.ExperimentalOrBuilder publik getExperimentalOrBuilder ()

.tensorflow.RunOptions.Experimental experimental = 8;

int publik getInterOpThreadPool ()

 The thread pool to use, if session_inter_op_thread_pool is configured.
 To use the caller thread set this to -1 - this uses the caller thread
 to execute Session::Run() and thus avoids a context switch. Using the
 caller thread to execute Session::Run() should be done ONLY for simple
 graphs, where the overhead of an additional context switch is
 comparable with the overhead of Session::Run().
 
int32 inter_op_thread_pool = 3;

getOutputPartitionGraphs boolean publik ()

 Whether the partition graph(s) executed by the executor(s) should be
 outputted via RunMetadata.
 
bool output_partition_graphs = 5;

publik dapatkanParserForType ()

boolean publik getReportTensorAllocationsUponOom ()

 When enabled, causes tensor allocation information to be included in
 the error message when the Run() call fails because the allocator ran
 out of memory (OOM).
 Enabling this option can slow down the Run() call.
 
bool report_tensor_allocations_upon_oom = 7;

publik int getSerializedSize ()

getTimeoutInMs publik yang panjang ()

 Time to wait for operation to complete in milliseconds.
 
int64 timeout_in_ms = 2;

RunOptions.TraceLevel publik getTraceLevel ()

.tensorflow.RunOptions.TraceLevel trace_level = 1;

int publik getTraceLevelValue ()

.tensorflow.RunOptions.TraceLevel trace_level = 1;

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

boolean publik hasDebugOptions ()

 EXPERIMENTAL.  Options used to initialize DebuggerState, if enabled.
 
.tensorflow.DebugOptions debug_options = 6;

boolean publik hasEksperimental ()

.tensorflow.RunOptions.Experimental experimental = 8;

kode hash int publik ()

boolean akhir publik diinisialisasi ()

RunOptions.Builder statis publik newBuilder (prototipe RunOptions )

RunOptions.Builder statis publik newBuilder ()

RunOptions.Builder publik newBuilderForType ()

RunOptions statis publik parseDelimitedFrom (input InputStream)

Melempar
Pengecualian IO

RunOptions statis publik parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom RunOptions statis publik (data ByteBuffer)

Melempar
InvalidProtocolBufferException

parseFrom RunOptions statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom RunOptions statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

parseFrom RunOptions statis publik (com.google.protobuf.CodedInputStream input)

Melempar
Pengecualian IO

parseFrom RunOptions statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

parseFrom RunOptions statis publik (com.google.protobuf.ByteString data)

Melempar
InvalidProtocolBufferException

parseFrom RunOptions statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
Pengecualian IO

parseFrom RunOptions statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Melempar
InvalidProtocolBufferException

statis publik pengurai ()

RunOptions.Builder toBuilder publik ()

public void writeTo (com.google.protobuf.CodedOutputStream keluaran)

Melempar
Pengecualian IO