общедоступный интерфейс DebugEventOrBuilder
| Известные косвенные подклассы |
Публичные методы
| абстрактные DebugMetadata | getDebugMetadata () Metadata related to this debugging data. |
| абстрактный DebugMetadataOrBuilder | getDebugMetadataOrBuilder () Metadata related to this debugging data. |
| абстрактное DebuggedDevice | getDebuggedDevice () A device on which debugger-instrumented ops and/or tensors reside. |
| абстрактный DebuggedDeviceOrBuilder | getDebuggedDeviceOrBuilder () A device on which debugger-instrumented ops and/or tensors reside. |
| абстрактный отладочный график | getDebuggedGraph () Information about a debugged graph. |
| абстрактный DebuggedGraphOrBuilder | getDebuggedGraphOrBuilder () Information about a debugged graph. |
| абстрактное исполнение | получитьВыполнение () Execution of an op or a Graph (e.g., a tf.function). |
| абстрактное выполнениеорбилдер | getExecutionOrBuilder () Execution of an op or a Graph (e.g., a tf.function). |
| абстрактный GraphExecutionTrace | getGraphExecutionTrace () A graph execution trace: Contains information about the intermediate tensors computed during the graph execution. |
| абстрактный GraphExecutionTraceOrBuilder | getGraphExecutionTraceOrBuilder () A graph execution trace: Contains information about the intermediate tensors computed during the graph execution. |
| абстрактная строка | получитьграфид () The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph. |
| абстрактный com.google.protobuf.ByteString | getGraphIdBytes () The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph. |
| абстрактный GraphOpCreation | getGraphOpCreation () The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function). |
| абстрактный GraphOpCreationOrBuilder | getGraphOpCreationOrBuilder () The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function). |
| абстрактный исходный файл | получить исходный файл () The content of a source file. |
| абстрактный саурцефилеорбилдер | getSourceFileOrBuilder () The content of a source file. |
| абстрактный StackFrameWithId | getStackFrameWithId () A stack frame (filename, line number and column number, function name and code string) with ID. |
| абстрактный StackFrameWithIdOrBuilder | getStackFrameWithIdOrBuilder () A stack frame (filename, line number and column number, function name and code string) with ID. |
| абстрактный длинный | получитьШаг () Step of training (if available). |
| абстрактный двойник | getWallTime () Timestamp in seconds (with microsecond precision). |
| абстрактный DebugEvent.WhatCase | |
| абстрактное логическое значение | имеетDebugMetadata () Metadata related to this debugging data. |
| абстрактное логическое значение | имеетDebuggedDevice () A device on which debugger-instrumented ops and/or tensors reside. |
| абстрактное логическое значение | имеетDebuggedGraph () Information about a debugged graph. |
| абстрактное логическое значение | имеетВыполнение () Execution of an op or a Graph (e.g., a tf.function). |
| абстрактное логическое значение | имеетGraphExecutionTrace () A graph execution trace: Contains information about the intermediate tensors computed during the graph execution. |
| абстрактное логическое значение | имеетграфопкреатион () The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function). |
| абстрактное логическое значение | имеетИсходныйФайл () The content of a source file. |
| абстрактное логическое значение | имеетStackFrameWithId () A stack frame (filename, line number and column number, function name and code string) with ID. |
Публичные методы
публичный абстрактный DebugMetadata getDebugMetadata ()
Metadata related to this debugging data.
.tensorflow.DebugMetadata debug_metadata = 3; публичный абстрактный DebugMetadataOrBuilder getDebugMetadataOrBuilder ()
Metadata related to this debugging data.
.tensorflow.DebugMetadata debug_metadata = 3; общедоступный абстрактный DebuggedDevice getDebuggedDevice ()
A device on which debugger-instrumented ops and/or tensors reside.
.tensorflow.DebuggedDevice debugged_device = 12; общедоступный абстрактный DebuggedDeviceOrBuilder getDebuggedDeviceOrBuilder ()
A device on which debugger-instrumented ops and/or tensors reside.
.tensorflow.DebuggedDevice debugged_device = 12; публичный абстрактный DebuggedGraph getDebuggedGraph ()
Information about a debugged graph.
.tensorflow.DebuggedGraph debugged_graph = 8; публичный абстрактный DebuggedGraphOrBuilder getDebuggedGraphOrBuilder ()
Information about a debugged graph.
.tensorflow.DebuggedGraph debugged_graph = 8; публичное абстрактное выполнение getExecution ()
Execution of an op or a Graph (e.g., a tf.function).
.tensorflow.Execution execution = 9; общедоступный абстрактный ExecutionOrBuilder getExecutionOrBuilder ()
Execution of an op or a Graph (e.g., a tf.function).
.tensorflow.Execution execution = 9; публичный абстрактный GraphExecutionTrace getGraphExecutionTrace ()
A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
.tensorflow.GraphExecutionTrace graph_execution_trace = 10; публичный абстрактный GraphExecutionTraceOrBuilder getGraphExecutionTraceOrBuilder ()
A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
.tensorflow.GraphExecutionTrace graph_execution_trace = 10; общедоступная абстрактная строка getGraphId ()
The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
string graph_id = 11; общедоступный абстрактный com.google.protobuf.ByteString getGraphIdBytes ()
The ID of the graph (i.e., FuncGraph) executed here: applicable only to the execution of a FuncGraph.
string graph_id = 11; публичный абстрактный GraphOpCreation getGraphOpCreation ()
The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
.tensorflow.GraphOpCreation graph_op_creation = 7; публичный абстрактный GraphOpCreationOrBuilder getGraphOpCreationOrBuilder ()
The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
.tensorflow.GraphOpCreation graph_op_creation = 7; общедоступный абстрактный SourceFile getSourceFile ()
The content of a source file.
.tensorflow.SourceFile source_file = 4; общедоступный абстрактный SourceFileOrBuilder getSourceFileOrBuilder ()
The content of a source file.
.tensorflow.SourceFile source_file = 4; публичный абстрактный StackFrameWithId getStackFrameWithId ()
A stack frame (filename, line number and column number, function name and code string) with ID.
.tensorflow.StackFrameWithId stack_frame_with_id = 6; публичный абстрактный StackFrameWithIdOrBuilder getStackFrameWithIdOrBuilder ()
A stack frame (filename, line number and column number, function name and code string) with ID.
.tensorflow.StackFrameWithId stack_frame_with_id = 6; публичный абстрактный длинный getStep ()
Step of training (if available).
int64 step = 2; публичный абстрактный двойной getWallTime ()
Timestamp in seconds (with microsecond precision).
double wall_time = 1; общедоступное абстрактное логическое значение hasDebugMetadata ()
Metadata related to this debugging data.
.tensorflow.DebugMetadata debug_metadata = 3; общедоступное абстрактное логическое значение hasDebuggedDevice ()
A device on which debugger-instrumented ops and/or tensors reside.
.tensorflow.DebuggedDevice debugged_device = 12; общедоступное абстрактное логическое значение hasDebuggedGraph ()
Information about a debugged graph.
.tensorflow.DebuggedGraph debugged_graph = 8; общедоступное абстрактное логическое значение hasExecution ()
Execution of an op or a Graph (e.g., a tf.function).
.tensorflow.Execution execution = 9; общедоступное абстрактное логическое значение hasGraphExecutionTrace ()
A graph execution trace: Contains information about the intermediate tensors computed during the graph execution.
.tensorflow.GraphExecutionTrace graph_execution_trace = 10; общедоступное абстрактное логическое значение hasGraphOpCreation ()
The creation of an op within a graph (e.g., a FuncGraph compiled from a Python function).
.tensorflow.GraphOpCreation graph_op_creation = 7; общедоступное абстрактное логическое значение hasSourceFile ()
The content of a source file.
.tensorflow.SourceFile source_file = 4; общедоступное абстрактное логическое значение hasStackFrameWithId ()
A stack frame (filename, line number and column number, function name and code string) with ID.
.tensorflow.StackFrameWithId stack_frame_with_id = 6;