GraphExecutionTraceOrBuilder

antarmuka publik GraphExecutionTraceOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

Tali abstrak
dapatkan Nama Perangkat () 
 Name of the device that the op belongs to.
abstrak com.google.protobuf.ByteString
dapatkanDeviceNameBytes () 
 Name of the device that the op belongs to.
Tali abstrak
dapatkan NamaOp () 
 Name of the op (applicable only in the case of the `FULL_TENSOR` trace
 level).
abstrak com.google.protobuf.ByteString
dapatkanOpNameBytes () 
 Name of the op (applicable only in the case of the `FULL_TENSOR` trace
 level).
abstrak ke dalam
dapatkanOutputSlot () 
 Output slot of the tensor (applicable only in the case of the `FULL_TENSOR`
 trace level).
TensorDebugMode abstrak
dapatkanTensorDebugMode () 
 Type of the tensor value encapsulated in this proto.
abstrak ke dalam
dapatkanTensorDebugModeValue () 
 Type of the tensor value encapsulated in this proto.
TensorProto abstrak
dapatkan TensorProto () 
 Tensor value in the type described by `tensor_value_type`.
TensorProtoOrBuilder abstrak
dapatkanTensorProtoOrBuilder () 
 Tensor value in the type described by `tensor_value_type`.
Tali abstrak
dapatkanTfdbgContextId () 
 Unique ID of the context that the executed op(s) belong to (e.g., a
 compiled concrete tf.function).
abstrak com.google.protobuf.ByteString
dapatkanTfdbgContextIdBytes () 
 Unique ID of the context that the executed op(s) belong to (e.g., a
 compiled concrete tf.function).
boolean abstrak
memilikiTensorProto () 
 Tensor value in the type described by `tensor_value_type`.

Metode Publik

String abstrak publik getDeviceName () 

 Name of the device that the op belongs to.
string device_name = 6;

abstrak publik com.google.protobuf.ByteString getDeviceNameBytes () 

 Name of the device that the op belongs to.
string device_name = 6;

String abstrak publik getOpName () 

 Name of the op (applicable only in the case of the `FULL_TENSOR` trace
 level).
string op_name = 2;

abstrak publik com.google.protobuf.ByteString getOpNameBytes () 

 Name of the op (applicable only in the case of the `FULL_TENSOR` trace
 level).
string op_name = 2;

abstrak publik int getOutputSlot () 

 Output slot of the tensor (applicable only in the case of the `FULL_TENSOR`
 trace level).
int32 output_slot = 3;

abstrak publik TensorDebugMode getTensorDebugMode () 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 4;

abstrak publik int getTensorDebugModeValue () 

 Type of the tensor value encapsulated in this proto.
.tensorflow.TensorDebugMode tensor_debug_mode = 4;

abstrak publik TensorProto getTensorProto () 

 Tensor value in the type described by `tensor_value_type`.
 This tensor may summarize the value of a single intermediate op of the
 graph, or those of multiple intermediate tensors.
.tensorflow.TensorProto tensor_proto = 5;

abstrak publik TensorProtoOrBuilder getTensorProtoOrBuilder () 

 Tensor value in the type described by `tensor_value_type`.
 This tensor may summarize the value of a single intermediate op of the
 graph, or those of multiple intermediate tensors.
.tensorflow.TensorProto tensor_proto = 5;

String abstrak publik getTfdbgContextId () 

 Unique ID of the context that the executed op(s) belong to (e.g., a
 compiled concrete tf.function).
string tfdbg_context_id = 1;

abstrak publik com.google.protobuf.ByteString getTfdbgContextIdBytes () 

 Unique ID of the context that the executed op(s) belong to (e.g., a
 compiled concrete tf.function).
string tfdbg_context_id = 1;

boolean abstrak publik hasTensorProto () 

 Tensor value in the type described by `tensor_value_type`.
 This tensor may summarize the value of a single intermediate op of the
 graph, or those of multiple intermediate tensors.
.tensorflow.TensorProto tensor_proto = 5;