RunMetadata

کلاس نهایی عمومی RunMetadata

 Metadata output (i.e., non-Tensor) for a single Run() call.
 
نوع Protobuf tensorflow.RunMetadata

کلاس های تو در تو

کلاس RunMetadata.Builder
 Metadata output (i.e., non-Tensor) for a single Run() call. 
کلاس RunMetadata.FunctionGraphs نوع Protobuf tensorflow.RunMetadata.FunctionGraphs
رابط RunMetadata.FunctionGraphsOrBuilder

ثابت ها

بین المللی COST_GRAPH_FIELD_NUMBER
بین المللی FUNCTION_GRAPHS_FIELD_NUMBER
بین المللی PARTITION_GRAPHS_FIELD_NUMBER
بین المللی STEP_STATS_FIELD_NUMBER

روش های عمومی

بولی
برابر است (object obj)
CostGraphDef
getCostGraph ()
 The cost graph for the computation defined by the run call.
CostGraphDefOrBuilder
getCostGraphOrBuilder ()
 The cost graph for the computation defined by the run call.
RunMetadata استاتیک
RunMetadata
نهایی static com.google.protobuf.Descriptors.Descriptor
RunMetadata.FunctionGraphs
getFunctionGraphs (شاخص int)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
بین المللی
getFunctionGraphsCount ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
List< RunMetadata.FunctionGraphs >
getFunctionGraphsList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
RunMetadata.FunctionGraphsOrBuilder
getFunctionGraphsOrBuilder (شاخص int)
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
لیست<? RunMetadata.FunctionGraphsOrBuilder > را گسترش می دهد
getFunctionGraphsOrBuilderList ()
 This is only populated for graphs that are run as functions in TensorFlow
 V2.
GraphDef
getPartitionGraphs (شاخص int)
 Graphs of the partitions executed by executors.
بین المللی
getPartitionGraphsCount ()
 Graphs of the partitions executed by executors.
لیست < GraphDef >
getPartitionGraphsList ()
 Graphs of the partitions executed by executors.
GraphDefOrBuilder
getPartitionGraphsOrBuilder (شاخص int)
 Graphs of the partitions executed by executors.
لیست<? GraphDefOrBuilder > را گسترش می دهد
getPartitionGraphsOrBuilderList ()
 Graphs of the partitions executed by executors.
بین المللی
StepStats
getStepStats ()
 Statistics traced for this step.
StepStatsOrBuilder
getStepStatsOrBuilder ()
 Statistics traced for this step.
com.google.protobuf.UnknownFieldSet نهایی
بولی
hasCostGraph ()
 The cost graph for the computation defined by the run call.
بولی
hasStepStats ()
 Statistics traced for this step.
بین المللی
بولی نهایی
استاتیک RunMetadata.Builder
newBuilder (نمونه اولیه RunMetadata )
استاتیک RunMetadata.Builder
RunMetadata.Builder
RunMetadata استاتیک
parseDelimitedFrom (ورودی جریان ورودی)
RunMetadata استاتیک
parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata استاتیک
parseFrom (داده های ByteBuffer)
RunMetadata استاتیک
parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata استاتیک
parseFrom (داده‌های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata استاتیک
parseFrom (ورودی com.google.protobuf.CodedInputStream)
RunMetadata استاتیک
parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata استاتیک
parseFrom (داده های com.google.protobuf.ByteString)
RunMetadata استاتیک
parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RunMetadata استاتیک
parseFrom (داده‌های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ایستا
RunMetadata.Builder
خالی
writeTo (خروجی com.google.protobuf.CodedOutputStream)

روش های ارثی

ثابت ها

نهایی استاتیک عمومی COST_GRAPH_FIELD_NUMBER

مقدار ثابت: 2

نهایی استاتیک عمومی FUNCTION_GRAPHS_FIELD_NUMBER

ارزش ثابت: 4

نهایی استاتیک عمومی PARTITION_GRAPHS_FIELD_NUMBER

مقدار ثابت: 3

STEP_STATS_FIELD_NUMBER نهایی استاتیک عمومی

ارزش ثابت: 1

روش های عمومی

بولین عمومی برابر است (Object Obj)

عمومی CostGraphDef getCostGraph ()

 The cost graph for the computation defined by the run call.
 
.tensorflow.CostGraphDef cost_graph = 2;

عمومی CostGraphDefOrBuilder getCostGraphOrBuilder ()

 The cost graph for the computation defined by the run call.
 
.tensorflow.CostGraphDef cost_graph = 2;

عمومی استاتیک RunMetadata getDefaultInstance ()

عمومی RunMetadata getDefaultInstanceForType ()

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

عمومی RunMetadata.FunctionGraphs getFunctionGraphs (int index)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

public int getFunctionGraphsCount ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

لیست عمومی < RunMetadata.FunctionGraphs > getFunctionGraphsList ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

عمومی RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int index)

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

لیست عمومی<? RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList را گسترش می دهد ()

 This is only populated for graphs that are run as functions in TensorFlow
 V2. There will be an entry below for each function that is traced.
 The main use cases of the post_optimization_graph and the partition_graphs
 is to give the caller insight into the graphs that were actually run by the
 runtime. Additional information (such as those in step_stats) will match
 these graphs.
 We also include the pre_optimization_graph since it is usually easier to
 read, and is helpful in situations where the caller wants to get a high
 level idea of what the built graph looks like (since the various graph
 optimization passes might change the structure of the graph significantly).
 
repeated .tensorflow.RunMetadata.FunctionGraphs function_graphs = 4;

عمومی getParserForType ()

عمومی GraphDef getPartitionGraphs (int index)

 Graphs of the partitions executed by executors.
 
repeated .tensorflow.GraphDef partition_graphs = 3;

public int getPartitionGraphsCount ()

 Graphs of the partitions executed by executors.
 
repeated .tensorflow.GraphDef partition_graphs = 3;

لیست عمومی< GraphDef > getPartitionGraphsList ()

 Graphs of the partitions executed by executors.
 
repeated .tensorflow.GraphDef partition_graphs = 3;

عمومی GraphDefOrBuilder getPartitionGraphsOrBuilder (int index)

 Graphs of the partitions executed by executors.
 
repeated .tensorflow.GraphDef partition_graphs = 3;

لیست عمومی<? گسترش GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()

 Graphs of the partitions executed by executors.
 
repeated .tensorflow.GraphDef partition_graphs = 3;

عمومی int getSerializedSize ()

عمومی StepStats getStepStats ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 
.tensorflow.StepStats step_stats = 1;

عمومی StepStatsOrBuilder getStepStatsOrBuilder ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 
.tensorflow.StepStats step_stats = 1;

عمومی نهایی com.google.protobuf.UnknownFieldSet getUnknownFields ()

بولی عمومی hasCostGraph ()

 The cost graph for the computation defined by the run call.
 
.tensorflow.CostGraphDef cost_graph = 2;

hasStepStats بولی عمومی ()

 Statistics traced for this step. Populated if tracing is turned on via the
 "RunOptions" proto.
 EXPERIMENTAL: The format and set of events may change in future versions.
 
.tensorflow.StepStats step_stats = 1;

هش کد عمومی ()

بولین نهایی عمومی isInitialized ()

عمومی استاتیک RunMetadata.Builder newBuilder (نمونه اولیه RunMetadata )

عمومی استاتیک RunMetadata.Builder newBuilder ()

عمومی RunMetadata.Builder newBuilderForType ()

عمومی استاتیک RunMetadata parseDelimitedFrom (ورودی جریان ورودی)

پرتاب می کند
IOException

عمومی استاتیک RunMetadata parseDelimitedFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک RunMetadata parseFrom (داده ByteBuffer)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک RunMetadata parseFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک RunMetadata parseFrom (داده های ByteBuffer، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک RunMetadata parseFrom (ورودی com.google.protobuf.CodedInputStream)

پرتاب می کند
IOException

عمومی استاتیک RunMetadata parseFrom (بایت[] داده، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک RunMetadata parseFrom (داده های com.google.protobuf.ByteString)

پرتاب می کند
InvalidProtocolBufferException

عمومی استاتیک RunMetadata parseFrom (ورودی InputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی استاتیک RunMetadata parseFrom (داده های com.google.protobuf.ByteString، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
InvalidProtocolBufferException

استاتیک عمومی تجزیه کننده ()

عمومی RunMetadata.Builder toBuilder ()

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

پرتاب می کند
IOException