Execution.Builder

सार्वजनिक स्थैतिक अंतिम वर्ग निष्पादन.बिल्डर

 Data relating to the eager execution of an op or a Graph.
 For a op that generates N output tensors (N >= 0), only one
 Execution proto will be used to describe the execution event.
 
प्रोटोबफ़ प्रकार tensorflow.Execution

सार्वजनिक तरीके

निष्पादन.निर्माता
addAllInputTensorIds (Iterable<? लंबे> मान बढ़ाता है)
 IDs of the input tensors (if available).
निष्पादन.निर्माता
addAllOutputTensorDeviceIds (Iterable<? विस्तारित Integer> मान)
 Debugged-generated IDs of the devices on which the output tensors reside.
निष्पादन.निर्माता
addAllOutputTensorIds (Iterable<? लंबे> मान बढ़ाता है)
 IDs of the output tensors (if availbable).
निष्पादन.निर्माता
addAllTensorProtos (Iterable<? TensorProto > मान बढ़ाता है)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
addInputTensorIds (लंबा मान)
 IDs of the input tensors (if available).
निष्पादन.निर्माता
addOutputTensorDeviceIds (int मान)
 Debugged-generated IDs of the devices on which the output tensors reside.
निष्पादन.निर्माता
addOutputTensorIds (लंबा मान)
 IDs of the output tensors (if availbable).
निष्पादन.निर्माता
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
निष्पादन.निर्माता
addTensorProtos ( TensorProto मान)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
addTensorProtos ( TensorProto.Builder BuilderForValue)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
addTensorProtos (int सूचकांक, TensorProto मान)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
addTensorProtos (int इंडेक्स, TensorProto.Builder BuilderForValue)
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.बिल्डर
addTensorProtosBuilder ()
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.बिल्डर
addTensorProtosBuilder (int अनुक्रमणिका)
 Output Tensor values in the type described by `tensor_value_type`.
कार्यान्वयन
कार्यान्वयन
निष्पादन.निर्माता
निष्पादन.निर्माता
क्लियरकोडलोकेशन ()
 Stack trace of the eager execution.
निष्पादन.निर्माता
क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)
निष्पादन.निर्माता
क्लीयरग्राफआईडी ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
निष्पादन.निर्माता
ClearInputTensorIds ()
 IDs of the input tensors (if available).
निष्पादन.निर्माता
ClearNumOutputs ()
 Number of output tensors.
निष्पादन.निर्माता
ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
निष्पादन.निर्माता
क्लियरऑपटाइप ()
 Op type (e.g., "MatMul").
निष्पादन.निर्माता
ClearOutputTensorDeviceIds ()
 Debugged-generated IDs of the devices on which the output tensors reside.
निष्पादन.निर्माता
ClearOutputTensorIds ()
 IDs of the output tensors (if availbable).
निष्पादन.निर्माता
क्लियरटेन्सरडीबगमोड ()
 Type of the tensor value encapsulated in this proto.
निष्पादन.निर्माता
क्लीयरटेन्सरप्रोटोज़ ()
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
कोडस्थान
getCodeLocation ()
 Stack trace of the eager execution.
कोडस्थान.बिल्डर
getCodeLocationBuilder ()
 Stack trace of the eager execution.
CodeLocationOrBuilder
getCodeLocationOrBuilder ()
 Stack trace of the eager execution.
कार्यान्वयन
अंतिम स्थिर com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
डोरी
getGraphId ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
com.google.protobuf.ByteString
getGraphIdBytes ()
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
लंबा
getInputTensorIds (int अनुक्रमणिका)
 IDs of the input tensors (if available).
int यहाँ
getInputTensorIdsCount ()
 IDs of the input tensors (if available).
सूची<लंबी>
getInputTensorIdsList ()
 IDs of the input tensors (if available).
int यहाँ
getNumOutputs ()
 Number of output tensors.
डोरी
गेटऑपटाइप ()
 Op type (e.g., "MatMul").
com.google.protobuf.ByteString
getOpTypeBytes ()
 Op type (e.g., "MatMul").
int यहाँ
getOutputTensorDeviceIds (इंट इंडेक्स)
 Debugged-generated IDs of the devices on which the output tensors reside.
int यहाँ
getOutputTensorDeviceIdsCount ()
 Debugged-generated IDs of the devices on which the output tensors reside.
सूची<पूर्णांक>
getOutputTensorDeviceIdsList ()
 Debugged-generated IDs of the devices on which the output tensors reside.
लंबा
getOutputTensorIds (int अनुक्रमणिका)
 IDs of the output tensors (if availbable).
int यहाँ
getOutputTensorIdsCount ()
 IDs of the output tensors (if availbable).
सूची<लंबी>
getOutputTensorIdsList ()
 IDs of the output tensors (if availbable).
TensorDebugMode
getTensorDebugMode ()
 Type of the tensor value encapsulated in this proto.
int यहाँ
getTensorDebugModeValue ()
 Type of the tensor value encapsulated in this proto.
टेंसरप्रोटो
getTensorProtos (int सूचकांक)
 Output Tensor values in the type described by `tensor_value_type`.
TensorProto.बिल्डर
getTensorProtosBuilder (int अनुक्रमणिका)
 Output Tensor values in the type described by `tensor_value_type`.
सूची < TensorProto.Builder >
getTensorProtosBuilderList ()
 Output Tensor values in the type described by `tensor_value_type`.
int यहाँ
getTensorProtosCount ()
 Output Tensor values in the type described by `tensor_value_type`.
सूची< TensorProto >
getTensorProtosList ()
 Output Tensor values in the type described by `tensor_value_type`.
TensorProtoOrBuilder
getTensorProtosOrBuilder (इंट इंडेक्स)
 Output Tensor values in the type described by `tensor_value_type`.
सूची<? TensorProtoOrBuilder > का विस्तार करता है
getTensorProtosOrBuilderList ()
 Output Tensor values in the type described by `tensor_value_type`.
बूलियन
hasCodeLocation ()
 Stack trace of the eager execution.
अंतिम बूलियन
निष्पादन.निर्माता
मर्जकोडलोकेशन ( कोडलोकेशन मान)
 Stack trace of the eager execution.
निष्पादन.निर्माता
मर्जफ्रॉम (com.google.protobuf.Message अन्य)
निष्पादन.निर्माता
मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)
अंतिम निष्पादन.बिल्डर
मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)
निष्पादन.निर्माता
रिमूवटेन्सरप्रोटोस (इंट इंडेक्स)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
सेटकोडलोकेशन ( कोडलोकेशन मान)
 Stack trace of the eager execution.
निष्पादन.निर्माता
सेटकोडलोकेशन ( CodeLocation.Builder BuilderForValue)
 Stack trace of the eager execution.
निष्पादन.निर्माता
सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)
निष्पादन.निर्माता
setGraphId (स्ट्रिंग मान)
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
निष्पादन.निर्माता
setGraphIdBytes (com.google.protobuf.ByteString मान)
 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
निष्पादन.निर्माता
setInputTensorIds (int सूचकांक, लंबा मान)
 IDs of the input tensors (if available).
निष्पादन.निर्माता
setNumOutputs (int मान)
 Number of output tensors.
निष्पादन.निर्माता
सेटऑपटाइप (स्ट्रिंग मान)
 Op type (e.g., "MatMul").
निष्पादन.निर्माता
setOpTypeBytes (com.google.protobuf.ByteString मान)
 Op type (e.g., "MatMul").
निष्पादन.निर्माता
setOutputTensorDeviceIds (int इंडेक्स, int मान)
 Debugged-generated IDs of the devices on which the output tensors reside.
निष्पादन.निर्माता
setOutputTensorIds (int सूचकांक, लंबा मान)
 IDs of the output tensors (if availbable).
निष्पादन.निर्माता
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)
निष्पादन.निर्माता
setTensorDebugMode ( TensorDebugMode मान)
 Type of the tensor value encapsulated in this proto.
निष्पादन.निर्माता
setTensorDebugModeValue (int मान)
 Type of the tensor value encapsulated in this proto.
निष्पादन.निर्माता
setTensorProtos (int सूचकांक, TensorProto मान)
 Output Tensor values in the type described by `tensor_value_type`.
निष्पादन.निर्माता
setTensorProtos (int इंडेक्स, TensorProto.Builder BuilderForValue)
 Output Tensor values in the type described by `tensor_value_type`.
अंतिम निष्पादन.बिल्डर
अज्ञात फ़ील्ड सेट करें (com.google.protobuf. अज्ञात फ़ील्ड सेट अज्ञात फ़ील्ड)

विरासत में मिली विधियाँ

सार्वजनिक तरीके

सार्वजनिक निष्पादन.बिल्डर addAllInputTensorIds (Iterable<? लंबे> मान बढ़ाता है)

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक निष्पादन.बिल्डर addAllOutputTensorDeviceIds (Iterable<? विस्तारित Integer> मान)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक निष्पादन.बिल्डर addAllOutputTensorIds (Iterable<? लंबे> मान बढ़ाता है)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक निष्पादन.बिल्डर addAllTensorProtos (Iterable<? TensorProto > मान बढ़ाता है)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर addInputTensorIds (लंबा मान)

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक निष्पादन.बिल्डर addOutputTensorDeviceIds (int मान)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक निष्पादन.बिल्डर addOutputTensorIds (लंबा मान)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक निष्पादन.बिल्डर addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक निष्पादन.बिल्डर addTensorProtos ( TensorProto मान)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर addTensorProtos ( TensorProto.Builder BuilderForValue)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर addTensorProtos (int सूचकांक, TensorProto मान)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर addTensorProtos (int सूचकांक, TensorProto.Builder BuilderForValue)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक TensorProto.Builder addTensorProtosBuilder ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक TensorProto.Builder addTensorProtosBuilder (int अनुक्रमणिका)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन बिल्ड ()

सार्वजनिक निष्पादन बिल्डआंशिक ()

सार्वजनिक निष्पादन.बिल्डर स्पष्ट ()

सार्वजनिक निष्पादन.बिल्डर क्लियरकोडलोकेशन ()

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक निष्पादन.बिल्डर क्लियरफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड)

सार्वजनिक निष्पादन.बिल्डर क्लियरग्राफआईडी ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 
string graph_id = 3;

सार्वजनिक निष्पादन.बिल्डर क्लियरइनपुटटेन्सोरआईड्स ()

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक निष्पादन.बिल्डर क्लियरनमआउटपुट ()

 Number of output tensors.
 
int32 num_outputs = 2;

सार्वजनिक निष्पादन.बिल्डर क्लियरवनऑफ़ (com.google.protobuf.Descriptors.OneofDescriptor oneof)

सार्वजनिक निष्पादन.बिल्डर क्लियरऑपटाइप ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 
string op_type = 1;

सार्वजनिक निष्पादन.बिल्डर क्लियरआउटपुटटेन्सरडिवाइसआईडी ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक निष्पादन.बिल्डर क्लियरआउटपुटटेन्सोरआईड्स ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक निष्पादन.बिल्डर क्लियरटेन्सरडीबगमोड ()

 Type of the tensor value encapsulated in this proto.
 
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

सार्वजनिक निष्पादन.बिल्डर क्लियरटेन्सरप्रोटोस ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर क्लोन ()

सार्वजनिक कोडस्थान getCodeLocation ()

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक CodeLocation.Builder getCodeLocationBuilder ()

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक CodeLocationOrBuilder getCodeLocationOrBuilder ()

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक निष्पादन getDefaultInstanceForType ()

सार्वजनिक स्थैतिक अंतिम com.google.protobuf.Descriptors.Descriptor getDescriptor ()

सार्वजनिक com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

सार्वजनिक स्ट्रिंग getGraphId ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 
string graph_id = 3;

सार्वजनिक com.google.protobuf.ByteString getGraphIdBytes ()

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 
string graph_id = 3;

सार्वजनिक लंबे getInputTensorIds (int सूचकांक)

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक int getInputTensorIdsCount ()

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक सूची<लंबा> getInputTensorIdsList ()

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक int getNumOutputs ()

 Number of output tensors.
 
int32 num_outputs = 2;

सार्वजनिक स्ट्रिंग getOpType ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 
string op_type = 1;

सार्वजनिक com.google.protobuf.ByteString getOpTypeBytes ()

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 
string op_type = 1;

सार्वजनिक int getOutputTensorDeviceIds (int अनुक्रमणिका)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक int getOutputTensorDeviceIdsCount ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक सूची<पूर्णांक> getOutputTensorDeviceIdsList ()

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक लंबे getOutputTensorIds (int सूचकांक)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक int getOutputTensorIdsCount ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक सूची<लंबा> getOutputTensorIdsList ()

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक TensorDebugMode getTensorDebugMode ()

 Type of the tensor value encapsulated in this proto.
 
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

सार्वजनिक int getTensorDebugModeValue ()

 Type of the tensor value encapsulated in this proto.
 
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

सार्वजनिक TensorProto getTensorProtos (int अनुक्रमणिका)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक TensorProto.Builder getTensorProtosBuilder (int अनुक्रमणिका)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक सूची < TensorProto.Builder > getTensorProtosBuilderList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक int getTensorProtosCount ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक सूची < TensorProto > getTensorProtosList ()

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक TensorProtoOrBuilder getTensorProtosOrBuilder (int अनुक्रमणिका)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक सूची<? TensorProtoOrBuilder > getTensorProtosOrBuilderList () का विस्तार करता है

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक बूलियन hasCodeLocation ()

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक अंतिम बूलियन आरंभीकृत है ()

सार्वजनिक निष्पादन.बिल्डर मर्जकोडलोकेशन ( कोडलोकेशन मान)

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक निष्पादन.बिल्डर मर्जफ्रॉम (com.google.protobuf.Message अन्य)

सार्वजनिक निष्पादन.बिल्डर मर्जफ्रॉम (com.google.protobuf.CodedInputStream इनपुट, com.google.protobuf.ExtensionRegistryLite एक्सटेंशनरजिस्ट्री)

फेंकता
आईओ अपवाद

सार्वजनिक अंतिम निष्पादन.बिल्डर मर्जअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)

सार्वजनिक निष्पादन.बिल्डर रिमूव टेन्सरप्रोटोस (इंट इंडेक्स)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर सेटकोडलोकेशन ( कोडलोकेशन मान)

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक निष्पादन.बिल्डर सेटकोडलोकेशन ( CodeLocation.Builder BuilderForValue)

 Stack trace of the eager execution.
 
.tensorflow.CodeLocation code_location = 8;

सार्वजनिक निष्पादन.बिल्डर सेटफ़ील्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, ऑब्जेक्ट मान)

सार्वजनिक निष्पादन.बिल्डर सेटग्राफआईडी (स्ट्रिंग मान)

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 
string graph_id = 3;

सार्वजनिक निष्पादन.बिल्डर सेटग्राफआईडीबाइट्स (com.google.protobuf.ByteString मान)

 The graph that's executed: applicable only to the eager
 execution of a FuncGraph.
 
string graph_id = 3;

सार्वजनिक निष्पादन.बिल्डर setInputTensorIds (int सूचकांक, लंबा मान)

 IDs of the input tensors (if available).
 
repeated int64 input_tensor_ids = 4;

सार्वजनिक निष्पादन.बिल्डर setNumOutputs (int मान)

 Number of output tensors.
 
int32 num_outputs = 2;

सार्वजनिक निष्पादन.बिल्डर सेटऑपटाइप (स्ट्रिंग मान)

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 
string op_type = 1;

सार्वजनिक निष्पादन.बिल्डर सेटऑपटाइपबाइट्स (com.google.protobuf.ByteString मान)

 Op type (e.g., "MatMul").
 In the case of a Graph, this is the name of the Graph.
 
string op_type = 1;

सार्वजनिक निष्पादन.बिल्डर setOutputTensorDeviceIds (int सूचकांक, int मान)

 Debugged-generated IDs of the devices on which the output tensors reside.
 To look up details about the device (e.g., name), cross-reference this
 field with the DebuggedDevice messages.
 
repeated int32 output_tensor_device_ids = 9;

सार्वजनिक निष्पादन.बिल्डर setOutputTensorIds (int सूचकांक, लंबा मान)

 IDs of the output tensors (if availbable).
 If specified, must have the same length as tensor_protos.
 
repeated int64 output_tensor_ids = 5;

सार्वजनिक निष्पादन.बिल्डर सेटरिपीटेडफिल्ड (com.google.protobuf.Descriptors.FieldDescriptor फ़ील्ड, इंट इंडेक्स, ऑब्जेक्ट वैल्यू)

सार्वजनिक निष्पादन.बिल्डर सेटटेन्सरडीबगमोड ( टेन्सोरडीबगमोड मान)

 Type of the tensor value encapsulated in this proto.
 
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

सार्वजनिक निष्पादन.बिल्डर setTensorDebugModeValue (int मान)

 Type of the tensor value encapsulated in this proto.
 
.tensorflow.TensorDebugMode tensor_debug_mode = 6;

सार्वजनिक निष्पादन.बिल्डर सेटटेन्सरप्रोटोस (इंट इंडेक्स, टेंसरप्रोटो वैल्यू)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक निष्पादन.बिल्डर सेटटेन्सरप्रोटोस (इंट इंडेक्स, टेंसरप्रोटो.बिल्डर बिल्डरफॉरवैल्यू)

 Output Tensor values in the type described by `tensor_value_type`.
 The length of this should match `num_outputs`.
 
repeated .tensorflow.TensorProto tensor_protos = 7;

सार्वजनिक अंतिम निष्पादन.बिल्डर सेटअज्ञातफ़ील्ड्स (com.google.protobuf.UnknownFieldSet अज्ञातफ़ील्ड्स)