publiczny interfejs statyczny RunMetadata.FunctionGraphsOrBuilder
Znane podklasy pośrednie |
Metody publiczne
streszczenie GraphDef | getPartitionGraphs (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1; |
streszczenie wew | getPartitionGraphsCount () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1; |
lista abstrakcyjna <GraphDef> | getPartitionGraphsList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1; |
streszczenie GraphDefOrBuilder | getPartitionGraphsOrBuilder (indeks int) TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1; |
lista abstrakcyjna<? rozszerza GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () TODO(nareshmodi): Include some sort of function/cache-key identifier? repeated .tensorflow.GraphDef partition_graphs = 1; |
streszczenie GraphDef | getPostOptimizationGraph () .tensorflow.GraphDef post_optimization_graph = 3; |
streszczenie GraphDefOrBuilder | getPostOptimizationGraphOrBuilder () .tensorflow.GraphDef post_optimization_graph = 3; |
streszczenie GraphDef | getPreOptimizationGraph () .tensorflow.GraphDef pre_optimization_graph = 2; |
streszczenie GraphDefOrBuilder | getPreOptimizationGraphOrBuilder () .tensorflow.GraphDef pre_optimization_graph = 2; |
abstrakcyjna wartość logiczna | maWykresPostOptymalizacji () .tensorflow.GraphDef post_optimization_graph = 3; |
abstrakcyjna wartość logiczna | maWykresPreOptymalizacji () .tensorflow.GraphDef pre_optimization_graph = 2; |
Metody publiczne
publiczne streszczenie GraphDef getPartitionGraphs (indeks int)
TODO(nareshmodi): Include some sort of function/cache-key identifier?
repeated .tensorflow.GraphDef partition_graphs = 1;
publiczne streszczenie int getPartitionGraphsCount ()
TODO(nareshmodi): Include some sort of function/cache-key identifier?
repeated .tensorflow.GraphDef partition_graphs = 1;
publiczna lista abstrakcyjna< GraphDef > getPartitionGraphsList ()
TODO(nareshmodi): Include some sort of function/cache-key identifier?
repeated .tensorflow.GraphDef partition_graphs = 1;
publiczne streszczenie GraphDefOrBuilder getPartitionGraphsOrBuilder (indeks int)
TODO(nareshmodi): Include some sort of function/cache-key identifier?
repeated .tensorflow.GraphDef partition_graphs = 1;
publiczna lista abstrakcyjna<? rozszerza GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
TODO(nareshmodi): Include some sort of function/cache-key identifier?
repeated .tensorflow.GraphDef partition_graphs = 1;
publiczne streszczenie GraphDef getPostOptimizationGraph ()
.tensorflow.GraphDef post_optimization_graph = 3;
publiczne streszczenie GraphDefOrBuilder getPostOptimizationGraphOrBuilder ()
.tensorflow.GraphDef post_optimization_graph = 3;
publiczne streszczenie GraphDef getPreOptimizationGraph ()
.tensorflow.GraphDef pre_optimization_graph = 2;
publiczne streszczenie GraphDefOrBuilder getPreOptimizationGraphOrBuilder ()
.tensorflow.GraphDef pre_optimization_graph = 2;
publiczna wartość logiczna abstrakcyjna hasPostOptimizationGraph ()
.tensorflow.GraphDef post_optimization_graph = 3;
publiczna wartość logiczna abstrakcyjna maPreOptimizationGraph ()
.tensorflow.GraphDef pre_optimization_graph = 2;