DebugEventOrBuilder

antarmuka publik DebugEventOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak DebugMetadata
dapatkanDebugMetadata ()
 Metadata related to this debugging data.
abstrak DebugMetadataOrBuilder
dapatkanDebugMetadataOrBuilder ()
 Metadata related to this debugging data.
abstrak DebuggedDevice
dapatkanDebuggedDevice ()
 A device on which debugger-instrumented ops and/or tensors reside.
abstrak DebuggedDeviceOrBuilder
dapatkanDebuggedDeviceOrBuilder ()
 A device on which debugger-instrumented ops and/or tensors reside.
abstrak DebuggedGraph
dapatkanDebuggedGraph ()
 Information about a debugged graph.
abstrak DebuggedGraphOrBuilder
dapatkanDebuggedGraphOrBuilder ()
 Information about a debugged graph.
Eksekusi abstrak
dapatkan Eksekusi ()
 Execution of an op or a Graph (e.g., a tf.function).
abstrak ExecutionOrBuilder
dapatkanExecutionOrBuilder ()
 Execution of an op or a Graph (e.g., a tf.function).
GraphExecutionTrace abstrak
dapatkanGraphExecutionTrace ()
 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
abstrak GraphExecutionTraceOrBuilder
getGraphExecutionTraceOrBuilder ()
 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
Tali abstrak
dapatkanGraphId ()
 The ID of the graph (i.e., FuncGraph) executed here: applicable only
 to the execution of a FuncGraph.
abstrak com.google.protobuf.ByteString
dapatkanGraphIdBytes ()
 The ID of the graph (i.e., FuncGraph) executed here: applicable only
 to the execution of a FuncGraph.
Abstrak GraphOpCreation
dapatkanGraphOpCreation ()
 The creation of an op within a graph (e.g., a FuncGraph compiled from
 a Python function).
abstrak GraphOpCreationOrBuilder
dapatkanGraphOpCreationOrBuilder ()
 The creation of an op within a graph (e.g., a FuncGraph compiled from
 a Python function).
File Sumber abstrak
dapatkanSourceFile ()
 The content of a source file.
abstrak SourceFileOrBuilder
dapatkanSourceFileOrBuilder ()
 The content of a source file.
abstrak StackFrameWithId
dapatkanStackFrameWithId ()
 A stack frame (filename, line number and column number, function name and
 code string) with ID.
abstrak StackFrameWithIdOrBuilder
dapatkanStackFrameWithIdOrBuilder ()
 A stack frame (filename, line number and column number, function name and
 code string) with ID.
abstrak panjang
dapatkanLangkah ()
 Step of training (if available).
abstrak ganda
dapatkanWaktu Dinding ()
 Timestamp in seconds (with microsecond precision).
abstrak DebugEvent.WhatCase
boolean abstrak
hasDebugMetadata ()
 Metadata related to this debugging data.
boolean abstrak
hasDebuggedDevice ()
 A device on which debugger-instrumented ops and/or tensors reside.
boolean abstrak
telahDebuggedGraph ()
 Information about a debugged graph.
boolean abstrak
memiliki Eksekusi ()
 Execution of an op or a Graph (e.g., a tf.function).
boolean abstrak
hasGraphExecutionTrace ()
 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
boolean abstrak
hasGraphOpCreation ()
 The creation of an op within a graph (e.g., a FuncGraph compiled from
 a Python function).
boolean abstrak
memilikiSourceFile ()
 The content of a source file.
boolean abstrak
hasStackFrameWithId ()
 A stack frame (filename, line number and column number, function name and
 code string) with ID.

Metode Publik

abstrak publik DebugMetadata getDebugMetadata ()

 Metadata related to this debugging data.
 
.tensorflow.DebugMetadata debug_metadata = 3;

abstrak publik DebugMetadataOrBuilder getDebugMetadataOrBuilder ()

 Metadata related to this debugging data.
 
.tensorflow.DebugMetadata debug_metadata = 3;

abstrak publik DebuggedDevice getDebuggedDevice ()

 A device on which debugger-instrumented ops and/or tensors reside.
 
.tensorflow.DebuggedDevice debugged_device = 12;

abstrak publik DebuggedDeviceOrBuilder getDebuggedDeviceOrBuilder ()

 A device on which debugger-instrumented ops and/or tensors reside.
 
.tensorflow.DebuggedDevice debugged_device = 12;

abstrak publik DebuggedGraph getDebuggedGraph ()

 Information about a debugged graph.
 
.tensorflow.DebuggedGraph debugged_graph = 8;

abstrak publik DebuggedGraphOrBuilder getDebuggedGraphOrBuilder ()

 Information about a debugged graph.
 
.tensorflow.DebuggedGraph debugged_graph = 8;

Eksekusi abstrak publik getExecution ()

 Execution of an op or a Graph (e.g., a tf.function).
 
.tensorflow.Execution execution = 9;

abstrak publik ExecutionOrBuilder getExecutionOrBuilder ()

 Execution of an op or a Graph (e.g., a tf.function).
 
.tensorflow.Execution execution = 9;

abstrak publik GraphExecutionTrace getGraphExecutionTrace ()

 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
 
.tensorflow.GraphExecutionTrace graph_execution_trace = 10;

abstrak publik GraphExecutionTraceOrBuilder getGraphExecutionTraceOrBuilder ()

 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
 
.tensorflow.GraphExecutionTrace graph_execution_trace = 10;

String abstrak publik getGraphId ()

 The ID of the graph (i.e., FuncGraph) executed here: applicable only
 to the execution of a FuncGraph.
 
string graph_id = 11;

abstrak publik 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;

abstrak publik 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;

abstrak publik 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;

SourceFile abstrak publik getSourceFile ()

 The content of a source file.
 
.tensorflow.SourceFile source_file = 4;

abstrak publik SourceFileOrBuilder getSourceFileOrBuilder ()

 The content of a source file.
 
.tensorflow.SourceFile source_file = 4;

abstrak publik 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;

abstrak publik 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;

getStep panjang abstrak publik ()

 Step of training (if available).
 
int64 step = 2;

abstrak publik getWallTime ganda ()

 Timestamp in seconds (with microsecond precision).
 
double wall_time = 1;

abstrak publik DebugEvent.WhatCase getWhatCase ()

boolean abstrak publik hasDebugMetadata ()

 Metadata related to this debugging data.
 
.tensorflow.DebugMetadata debug_metadata = 3;

boolean abstrak publik hasDebuggedDevice ()

 A device on which debugger-instrumented ops and/or tensors reside.
 
.tensorflow.DebuggedDevice debugged_device = 12;

boolean abstrak publik hasDebuggedGraph ()

 Information about a debugged graph.
 
.tensorflow.DebuggedGraph debugged_graph = 8;

boolean abstrak publik hasExecution ()

 Execution of an op or a Graph (e.g., a tf.function).
 
.tensorflow.Execution execution = 9;

boolean abstrak publik hasGraphExecutionTrace ()

 A graph execution trace: Contains information about the intermediate
 tensors computed during the graph execution.
 
.tensorflow.GraphExecutionTrace graph_execution_trace = 10;

boolean abstrak publik hasGraphOpCreation ()

 The creation of an op within a graph (e.g., a FuncGraph compiled from
 a Python function).
 
.tensorflow.GraphOpCreation graph_op_creation = 7;

boolean abstrak publik hasSourceFile ()

 The content of a source file.
 
.tensorflow.SourceFile source_file = 4;

boolean abstrak publik hasStackFrameWithId ()

 A stack frame (filename, line number and column number, function name and
 code string) with ID.
 
.tensorflow.StackFrameWithId stack_frame_with_id = 6;