lớp cuối cùng công khai RunMetadata
Metadata output (i.e., non-Tensor) for a single Run() call.
tensorflow.RunMetadata
Các lớp lồng nhau
lớp học | RunMetadata.Builder | Metadata output (i.e., non-Tensor) for a single Run() call. | |
lớp học | RunMetadata.FunctionGraphs | Loại protobuf tensorflow.RunMetadata.FunctionGraphs | |
giao diện | RunMetadata.FunctionGraphsOrBuilder |
Hằng số
int | COST_GRAPH_FIELD_NUMBER | |
int | FUNCTION_GRAPHS_FIELD_NUMBER | |
int | PARTITION_GRAPHS_FIELD_NUMBER | |
int | STEP_STATS_FIELD_NUMBER |
Phương pháp công khai
boolean | bằng (Đối tượng 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. |
Siêu dữ liệu Run tĩnh | |
ChạySiêu dữ liệu | |
com.google.protobuf.Descriptors.Descriptor tĩnh cuối cùng | |
RunMetadata.FunctionGraphs | getFunctionGraphs (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
int | getFunctionGraphsCount () This is only populated for graphs that are run as functions in TensorFlow V2. |
Danh sách< RunMetadata.FunctionGraphs > | getFunctionGraphsList () This is only populated for graphs that are run as functions in TensorFlow V2. |
RunMetadata.FunctionGraphsOrBuilder | getFunctionGraphsOrBuilder (chỉ mục int) This is only populated for graphs that are run as functions in TensorFlow V2. |
Danh sách<? mở rộng RunMetadata.FunctionGraphsOrBuilder > | getFunctionGraphsOrBuilderList () This is only populated for graphs that are run as functions in TensorFlow V2. |
GraphDef | getPartitionGraphs (chỉ mục int) Graphs of the partitions executed by executors. |
int | getPartitionGraphsCount () Graphs of the partitions executed by executors. |
Danh sách< GraphDef > | getPartitionGraphsList () Graphs of the partitions executed by executors. |
GraphDefOrBuilder | getPartitionGraphsOrBuilder (chỉ mục int) Graphs of the partitions executed by executors. |
Danh sách<? mở rộng GraphDefOrBuilder > | getPartitionGraphsOrBuilderList () Graphs of the partitions executed by executors. |
int | |
Thống kê bước | getStepStats () Statistics traced for this step. |
StepStatsOrBuilder | getStepStatsOrBuilder () Statistics traced for this step. |
com.google.protobuf.UnknownFieldSet cuối cùng | |
boolean | hasCostGraph () The cost graph for the computation defined by the run call. |
boolean | hasStepStats () Statistics traced for this step. |
int | mã băm () |
boolean cuối cùng | |
tĩnh RunMetadata.Builder | newBuilder ( nguyên mẫu RunMetadata ) |
tĩnh RunMetadata.Builder | |
RunMetadata.Builder | |
Siêu dữ liệu Run tĩnh | phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào) |
Siêu dữ liệu Run tĩnh | phân tích cú phápDelimitedFrom (Đầu vào luồng đầu vào, com.google.protobuf.ExtensionRegistryLite tiện ích mở rộngRegistry) |
Siêu dữ liệu Run tĩnh | ParseFrom (dữ liệu ByteBuffer) |
Siêu dữ liệu Run tĩnh | ParseFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
Siêu dữ liệu Run tĩnh | ParseFrom (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
Siêu dữ liệu Run tĩnh | ParseFrom (đầu vào com.google.protobuf.CodedInputStream) |
Siêu dữ liệu Run tĩnh | ParseFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
Siêu dữ liệu Run tĩnh | ParseFrom (dữ liệu com.google.protobuf.ByteString) |
Siêu dữ liệu Run tĩnh | ParseFrom (Đầu vào inputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
Siêu dữ liệu Run tĩnh | ParsFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
tĩnh | |
RunMetadata.Builder | toBuilder () |
trống rỗng | writeTo (đầu ra com.google.protobuf.CodedOutputStream) |
Phương pháp kế thừa
Hằng số
int tĩnh cuối cùng COST_GRAPH_FIELD_NUMBER
Giá trị không đổi: 2
int cuối cùng tĩnh công khai FUNCTION_GRAPHS_FIELD_NUMBER
Giá trị không đổi: 4
int cuối cùng tĩnh công khai PARTITION_GRAPHS_FIELD_NUMBER
Giá trị không đổi: 3
int tĩnh công khai STEP_STATS_FIELD_NUMBER
Giá trị không đổi: 1
Phương pháp công khai
boolean công khai bằng (Object obj)
CostGraphDef công khai getCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
CostGraphDefOrBuilder công khai getCostGraphOrBuilder ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
công khai tĩnh cuối cùng com.google.protobuf.Descriptors.Descriptor getDescriptor ()
công khai RunMetadata.FunctionGraphs getFunctionGraphs (chỉ mục 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 công khai 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;
Danh sách công khai< 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;
công khai RunMetadata.FunctionGraphsOrBuilder getFunctionGraphsOrBuilder (chỉ mục 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;
Danh sách công khai<? mở rộng 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;
công cộng getParserForType ()
GraphDef công khai getPartitionGraphs (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
int công khai getPartitionGraphsCount ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
Danh sách công khai< GraphDef > getPartitionGraphsList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
GraphDefOrBuilder công khai getPartitionGraphsOrBuilder (chỉ mục int)
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
Danh sách công khai<? mở rộng GraphDefOrBuilder > getPartitionGraphsOrBuilderList ()
Graphs of the partitions executed by executors.
repeated .tensorflow.GraphDef partition_graphs = 3;
int công khai getSerializedSize ()
StepStats công khai 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;
công khai 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;
trận chung kết công khai com.google.protobuf.UnknownFieldSet getUnknownFields ()
boolean công khai hasCostGraph ()
The cost graph for the computation defined by the run call.
.tensorflow.CostGraphDef cost_graph = 2;
boolean công khai 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;
mã băm int công khai ()
boolean cuối cùng công khai được khởi tạo ()
công khai tĩnh phân tích cú pháp RunMetadataDelimitedFrom (đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
IOException |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (dữ liệu ByteBuffer)
Ném
Giao thức đệm ngoại lệ không hợp lệ |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (đầu vào com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
IOException |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (Dữ liệu ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
Giao thức đệm ngoại lệ không hợp lệ |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (đầu vào com.google.protobuf.CodedInputStream)
Ném
IOException |
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công khai tĩnh phân tích cú pháp RunMetadataFrom (dữ liệu byte[], com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
Giao thức đệm ngoại lệ không hợp lệ |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (dữ liệu com.google.protobuf.ByteString)
Ném
Giao thức đệm ngoại lệ không hợp lệ |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (đầu vào InputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
IOException |
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phân tích cú pháp RunMetadata tĩnh công khaiFrom (dữ liệu com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Ném
Giao thức đệm ngoại lệ không hợp lệ |
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công cộng tĩnh trình phân tích cú pháp ()
public void writeTo (đầu ra com.google.protobuf.CodedOutputStream)
Ném
IOException |
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