الفئة النهائية العامة RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
فئات متداخلة
فصل | RunMetadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
فصل | RunMetadata.FunctionGraphs | نوع Protobuf tensorflow.RunMetadata.FunctionGraphs | |
واجهة | RunMetadata.FunctionGraphsOrBuilder |
الثوابت
كثافة العمليات | COST_GRAPH_FIELD_NUMBER | |
كثافة العمليات | FUNCTION_GRAPHS_FIELD_NUMBER | |
كثافة العمليات | PARTITION_GRAPHS_FIELD_NUMBER | |
كثافة العمليات | STEP_STATS_FIELD_NUMBER |
الأساليب العامة
منطقية | يساوي (كائن كائن) |
CostGraphDef | الحصول على التكلفةالرسم البياني () The cost graph for the computation defined by the run call. |
CostGraphDefOrBuilder | getCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
بيانات تعريف التشغيل الثابتة | |
RunMetadata | |
النهائي الثابت com.google.protobuf.Descriptors.Descriptor | |
RunMetadata.FunctionGraphs | getFunctionGraphs (فهرس كثافة العمليات) This is only populated for graphs that are run as functions in TensorFlow V2. |
كثافة العمليات | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
القائمة< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (فهرس كثافة العمليات) This is only populated for graphs that are run as functions in TensorFlow V2. |
القائمة<؟ يمتد RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
GraphDef | getPartitionGraphs (فهرس كثافة العمليات) Graphs of the partitions executed by executors. |
كثافة العمليات | الحصول علىPartitionGraphsCount () Graphs of the partitions executed by executors. |
القائمة< GraphDef > | قائمة getPartitionGraphs () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (فهرس كثافة العمليات) Graphs of the partitions executed by executors. |
القائمة<؟ يمتد GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
كثافة العمليات | |
ستيبستاتس | الحصول على ستيبستاتس () Statistics traced for this step. |
StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
النهائي com.google.protobuf.UnknownFieldSet | |
منطقية | hasCostGraph () The cost graph for the computation defined by the run call. |
منطقية | هاستيبستاتس () Statistics traced for this step. |
كثافة العمليات | رمز التجزئة () |
منطقية نهائية | تمت التهيئة () |
ثابت RunMetadata.Builder | newBuilder (النموذج الأولي لبيانات RunMetadata ) |
ثابت RunMetadata.Builder | منشئ جديد () |
RunMetadata.Builder | |
بيانات تعريف التشغيل الثابتة | parseDelimitedFrom (إدخال InputStream) |
بيانات تعريف التشغيل الثابتة | parseDelimitedFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
بيانات تعريف التشغيل الثابتة | parseFrom (بيانات ByteBuffer) |
بيانات تعريف التشغيل الثابتة | parseFrom (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
بيانات تعريف التشغيل الثابتة | parseFrom (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
بيانات تعريف التشغيل الثابتة | parseFrom (com.google.protobuf.CodedInputStream الإدخال) |
بيانات تعريف التشغيل الثابتة | parseFrom (بيانات البايت[]، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
بيانات تعريف التشغيل الثابتة | parseFrom (بيانات com.google.protobuf.ByteString) |
بيانات تعريف التشغيل الثابتة | parseFrom (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
بيانات تعريف التشغيل الثابتة | parseFrom (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
ثابت | محلل () |
RunMetadata.Builder | إلى البناء () |
فارغ | writeTo (إخراج com.google.protobuf.CodedOutputStream) |
الطرق الموروثة
الثوابت
int النهائي الثابت العام COST_GRAPH_FIELD_NUMBER
القيمة الثابتة: 2
int النهائي الثابت العام FUNCTION_GRAPHS_FIELD_NUMBER
القيمة الثابتة: 4
العدد النهائي الثابت العام PARTITION_GRAPHS_FIELD_NUMBER
القيمة الثابتة: 3
العدد النهائي الثابت العام STEP_STATS_FIELD_NUMBER
القيمة الثابتة: 1
الأساليب العامة
القيمة المنطقية العامة تساوي (Object obj)
getCostGraph العامة CostGraphDef ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
getCostGraphDefOrBuilder العامة getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
النهائي العام الثابت com.google.protobuf.Descriptors.Descriptor getDescriptor ()
RunMetadata.FunctionGraphs العام getFunctionGraphs (مؤشر int)
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;
int public 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;
القائمة العامة< 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;
RunMetadata.FunctionGraphsOrBuilder العام getFunctionGraphsOrBuilder (فهرس كثافة العمليات)
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;
القائمة العامة <؟ يمتد RunMetadata.FunctionGraphsOrBuilder > getFunctionGraphsOrBuilderList ()
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;
عام الحصول على بارسيرفورتايب ()
GraphDef getPartitionGraphs العام (مؤشر int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
int public getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
القائمة العامة< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
GraphDefOrBuilder العام getPartitionGraphsOrBuilder (مؤشر int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
القائمة العامة <؟ يمتد GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
int public getSerializedSize ()
StepStats العامة 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;
GetStepStatsOrBuilder العامة 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;
النهائي العام com.google.protobuf.UnknownFieldSet getUnknownFields ()
hasCostGraph () المنطقي العام
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
hasStepStats المنطقية العامة ()
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;
كود التجزئة الدولي العام ()
تمت تهيئة القيمة المنطقية النهائية العامة ()
تحليل RunMetadata العام الثابت (InputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
IOEException |
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تحليل RunMetadata العام الثابت (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
IOEException |
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تحليل RunMetadata العام الثابت (بيانات ByteBuffer، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
InvalidProtocolBufferException |
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تحليل RunMetadata العام الثابت (بيانات البايت []، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
InvalidProtocolBufferException |
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تحليل RunMetadata العام الثابت (بيانات com.google.protobuf.ByteString)
رميات
InvalidProtocolBufferException |
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تحليل RunMetadata العام الثابت (إدخال InputStream، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
IOEException |
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تحليل RunMetadata العام الثابت (com.google.protobuf.ByteString data، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
رميات
InvalidProtocolBufferException |
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ساكنة عامة محلل ()
الكتابة إلى الفراغ العام (إخراج com.google.protobuf.CodedOutputStream)
رميات
IOEException |
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