RunMetadata kelas akhir publik
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
Kelas Bersarang
kelas | Jalankan Metadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
kelas | JalankanMetadata.FunctionGraphs | Tipe protobuf tensorflow.RunMetadata.FunctionGraphs | |
antarmuka | JalankanMetadata.FunctionGraphsOrBuilder |
Konstanta
ke dalam | COST_GRAPH_FIELD_NUMBER | |
ke dalam | FUNCTION_GRAPHS_FIELD_NUMBER | |
ke dalam | PARTITION_GRAPHS_FIELD_NUMBER | |
ke dalam | STEP_STATS_FIELD_NUMBER |
Metode Publik
boolean | sama dengan (Objek objek) |
BiayaGraphDef | dapatkanCostGraph () The cost graph for the computation defined by the run call. |
CostGraphDefOrBuilder | dapatkanCostGraphOrBuilder () The cost graph for the computation defined by the run call. |
RunMetadata statis | |
Jalankan Metadata | |
com.google.protobuf.Descriptors.Descriptor statis terakhir | |
JalankanMetadata.FunctionGraphs | getFunctionGraphs (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2. |
ke dalam | dapatkanFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
Daftar< JalankanMetadata.FunctionGraphs > | dapatkanFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
JalankanMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (indeks int) This is only populated for graphs that are run as functions in TensorFlow V2. |
Daftar<? memperluas RunMetadata.FunctionGraphsOrBuilder > | dapatkanFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
GrafikDef | getPartitionGraphs (indeks int) Graphs of the partitions executed by executors. |
ke dalam | dapatkanPartitionGraphsCount () Graphs of the partitions executed by executors. |
Daftar< GraphDef > | dapatkanPartitionGraphsList () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (indeks int) Graphs of the partitions executed by executors. |
Daftar<? memperluas GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
ke dalam | |
Statistik Langkah | dapatkanStepStats () Statistics traced for this step. |
StepStatsOrBuilder | dapatkanStepStatsOrBuilder () Statistics traced for this step. |
final com.google.protobuf.UnknownFieldSet | |
boolean | hasCostGraph () The cost graph for the computation defined by the run call. |
boolean | hasStepStats () Statistics traced for this step. |
ke dalam | Kode hash () |
boolean terakhir | |
RunMetadata.Builder statis | newBuilder (prototipe RunMetadata ) |
RunMetadata.Builder statis | |
Jalankan Metadata.Builder | |
RunMetadata statis | parseDelimitedFrom (masukan Aliran Masukan) |
RunMetadata statis | parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statis | parseFrom (data ByteBuffer) |
RunMetadata statis | parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statis | parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statis | parseFrom (com.google.protobuf.CodedInputStream masukan) |
RunMetadata statis | parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statis | parseFrom (com.google.protobuf.ByteString data) |
RunMetadata statis | parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
RunMetadata statis | parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
statis | pengurai () |
Jalankan Metadata.Builder | |
ruang kosong | writeTo (com.google.protobuf.CodedOutputStream keluaran) |
Metode Warisan
Konstanta
int akhir statis publik COST_GRAPH_FIELD_NUMBER
Nilai Konstan: 2
int akhir statis publik FUNCTION_GRAPHS_FIELD_NUMBER
Nilai Konstan: 4
int final statis publik PARTITION_GRAPHS_FIELD_NUMBER
Nilai Konstan: 3
int akhir statis publik STEP_STATS_FIELD_NUMBER
Nilai Konstan: 1
Metode Publik
boolean publik sama (Obj objek)
CostGraphDef publik getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
CostGraphDefOrBuilder publik getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
RunMetadata.FunctionGraphs publik getFunctionGraphs (indeks 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 publik 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;
Daftar publik< 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;
publik RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (int indeks)
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;
Daftar Publik<? memperluas 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;
publik dapatkanParserForType ()
publik GraphDef getPartitionGraphs (int indeks)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
int publik getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
Daftar publik< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
publik GraphDefOrBuilder getPartitionGraphsOrBuilder (int indeks)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
Daftar Publik<? memperluas GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
publik int getSerializedSize ()
StepStats publik 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;
StepStatsOrBuilder publik 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;
public final com.google.protobuf.UnknownFieldSet getUnknownFields ()
boolean publik hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
boolean publik hasStepStats ()
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;
kode hash int publik ()
boolean akhir publik diinisialisasi ()
parseDelimitedFrom RunMetadata statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
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parseFrom RunMetadata statis publik (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
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parseFrom RunMetadata statis publik (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
ProtokolBufferException Tidak Valid |
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parseFrom RunMetadata statis publik (com.google.protobuf.CodedInputStream masukan)
Melempar
Pengecualian IO |
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parseFrom RunMetadata statis publik (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
ProtokolBufferException Tidak Valid |
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parseFrom RunMetadata statis publik (com.google.protobuf.ByteString data)
Melempar
ProtokolBufferException Tidak Valid |
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parseFrom RunMetadata statis publik (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
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parseFrom RunMetadata statis publik (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
ProtokolBufferException Tidak Valid |
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statis publik pengurai ()
public void writeTo (com.google.protobuf.CodedOutputStream keluaran)
Melempar
Pengecualian IO |
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