interface publique RunOptionsOrBuilder
| Sous-classes indirectes connues |
Méthodes publiques
| Options de débogage abstraites | getDebugOptions () EXPERIMENTAL. |
| abstrait DebugOptionsOrBuilder | getDebugOptionsOrBuilder () EXPERIMENTAL. |
| résumé RunOptions.Experimental | getExpérimental () .tensorflow.RunOptions.Experimental experimental = 8; |
| résumé RunOptions.ExperimentalOrBuilder | getExperimentalOrBuilder () .tensorflow.RunOptions.Experimental experimental = 8; |
| abstrait entier | getInterOpThreadPool () The thread pool to use, if session_inter_op_thread_pool is configured. |
| booléen abstrait | getOutputPartitionGraphs () Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata. |
| booléen abstrait | 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). |
| abstrait long | getTimeoutInMs () Time to wait for operation to complete in milliseconds. |
| résumé RunOptions.TraceLevel | getTraceLevel () .tensorflow.RunOptions.TraceLevel trace_level = 1; |
| abstrait entier | getTraceLevelValue () .tensorflow.RunOptions.TraceLevel trace_level = 1; |
| booléen abstrait | hasDebugOptions () EXPERIMENTAL. |
| booléen abstrait | aExpérimental () .tensorflow.RunOptions.Experimental experimental = 8; |
Méthodes publiques
public abstrait DebugOptions getDebugOptions ()
EXPERIMENTAL. Options used to initialize DebuggerState, if enabled.
.tensorflow.DebugOptions debug_options = 6; public abstrait DebugOptionsOrBuilder getDebugOptionsOrBuilder ()
EXPERIMENTAL. Options used to initialize DebuggerState, if enabled.
.tensorflow.DebugOptions debug_options = 6; résumé public RunOptions.Experimental getExperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;
résumé public RunOptions.ExperimentalOrBuilder getExperimentalOrBuilder ()
.tensorflow.RunOptions.Experimental experimental = 8;
public abstrait 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; public abstrait booléen getOutputPartitionGraphs ()
Whether the partition graph(s) executed by the executor(s) should be outputted via RunMetadata.
bool output_partition_graphs = 5; public abstrait booléen 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; public abstrait long getTimeoutInMs ()
Time to wait for operation to complete in milliseconds.
int64 timeout_in_ms = 2; résumé public RunOptions.TraceLevel getTraceLevel ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
public abstrait int getTraceLevelValue ()
.tensorflow.RunOptions.TraceLevel trace_level = 1;
public abstrait booléen hasDebugOptions ()
EXPERIMENTAL. Options used to initialize DebuggerState, if enabled.
.tensorflow.DebugOptions debug_options = 6; public abstrait booléen hasExperimental ()
.tensorflow.RunOptions.Experimental experimental = 8;