RunOptionsOrBuilder

antarmuka publik RunOptionsOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

DebugOptions abstrak
dapatkanDebugOptions () 
 EXPERIMENTAL.
abstrak DebugOptionsOrBuilder
dapatkanDebugOptionsOrBuilder () 
 EXPERIMENTAL.
abstrak RunOptions.Eksperimental
dapatkan Eksperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;
abstrak RunOptions.ExperimentalOrBuilder
dapatkanExperimentalOrBuilder ()
.tensorflow.RunOptions.Experimental experimental = 8;
abstrak ke dalam
dapatkanInterOpThreadPool () 
 The thread pool to use, if session_inter_op_thread_pool is configured.
boolean abstrak
dapatkanOutputPartitionGraphs () 
 Whether the partition graph(s) executed by the executor(s) should be
 outputted via RunMetadata.
boolean abstrak
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).
abstrak panjang
dapatkanTimeoutInMs () 
 Time to wait for operation to complete in milliseconds.
abstrak RunOptions.TraceLevel
dapatkanTraceLevel ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
abstrak ke dalam
dapatkanTraceLevelValue ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
boolean abstrak
hasDebugOptions () 
 EXPERIMENTAL.
boolean abstrak
memiliki Eksperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;

Metode Publik

abstrak publik DebugOptions getDebugOptions () 

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

abstrak publik DebugOptionsOrBuilder getDebugOptionsOrBuilder () 

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

abstrak publik RunOptions.Experimental getExperimental ()

.tensorflow.RunOptions.Experimental experimental = 8;

abstrak publik RunOptions.ExperimentalOrBuilder getExperimentalOrBuilder ()

.tensorflow.RunOptions.Experimental experimental = 8;

abstrak publik int 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;

boolean abstrak publik getOutputPartitionGraphs () 

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

boolean abstrak 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;

abstrak publik getTimeoutInMs panjang () 

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

abstrak publik RunOptions.TraceLevel getTraceLevel ()

.tensorflow.RunOptions.TraceLevel trace_level = 1;

abstrak publik int getTraceLevelValue ()

.tensorflow.RunOptions.TraceLevel trace_level = 1;

boolean abstrak publik hasDebugOptions () 

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

boolean abstrak publik hasExperimental ()

.tensorflow.RunOptions.Experimental experimental = 8;