공개 정적 최종 클래스 TensorInfo.Builder
Information about a Tensor necessary for feeding or retrieval.Protobuf 유형
tensorflow.TensorInfo 공개 방법
| TensorInfo.Builder | addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값) |
| 텐서정보 | 짓다 () |
| 텐서정보 | 빌드부분 () |
| TensorInfo.Builder | 분명한 () |
| TensorInfo.Builder | 클리어컴포지트텐서 () Generic encoding for CompositeTensors. |
| TensorInfo.Builder | 클리어쿠스파스 () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.Builder | 클리어D타입 () .tensorflow.DataType dtype = 2; |
| TensorInfo.Builder | 클리어인코딩 () |
| TensorInfo.Builder | ClearField (com.google.protobuf.Descriptors.FieldDescriptor 필드) |
| TensorInfo.Builder | 클리어이름 () For dense `Tensor`s, the name of the tensor in the graph. |
| TensorInfo.Builder | ClearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof) |
| TensorInfo.Builder | 클리어텐서셰이프 () The static shape should be recorded here, to the extent that it can be known in advance. |
| TensorInfo.Builder | 클론 () |
| TensorInfo.CompositeTensor | getCompositeTensor () Generic encoding for CompositeTensors. |
| TensorInfo.CompositeTensor.Builder | getCompositeTensorBuilder () Generic encoding for CompositeTensors. |
| TensorInfo.CompositeTensorOrBuilder | getCompositeTensorOrBuilder () Generic encoding for CompositeTensors. |
| TensorInfo.CooSparse | getCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.CooSparse.Builder | getCooSparseBuilder () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.CooSparseOrBuilder | getCooSparseOrBuilder () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| 텐서정보 | |
| 최종 정적 com.google.protobuf.Descriptors.Descriptor | |
| com.google.protobuf.Descriptors.Descriptor | |
| 데이터 형식 | getD유형 () .tensorflow.DataType dtype = 2; |
| 정수 | getDtype값 () .tensorflow.DataType dtype = 2; |
| TensorInfo.EncodingCase | |
| 끈 | getName () For dense `Tensor`s, the name of the tensor in the graph. |
| com.google.protobuf.ByteString | getNameBytes () For dense `Tensor`s, the name of the tensor in the graph. |
| TensorShapeProto | getTensorShape () The static shape should be recorded here, to the extent that it can be known in advance. |
| TensorShapeProto.Builder | getTensorShapeBuilder () The static shape should be recorded here, to the extent that it can be known in advance. |
| TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () The static shape should be recorded here, to the extent that it can be known in advance. |
| 부울 | hasCompositeTensor () Generic encoding for CompositeTensors. |
| 부울 | hasCoo스파스 () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| 부울 | hasTensorShape () The static shape should be recorded here, to the extent that it can be known in advance. |
| 최종 부울 | 초기화됨 () |
| TensorInfo.Builder | |
| TensorInfo.Builder | mergeCooSparse ( TensorInfo.CooSparse 값) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.Builder | mergeFrom (com.google.protobuf.다른 메시지 보내기) |
| TensorInfo.Builder | mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
| TensorInfo.Builder | mergeTensorShape ( TensorShapeProto 값) The static shape should be recorded here, to the extent that it can be known in advance. |
| 최종 TensorInfo.Builder | mergeUnknownFields (com.google.protobuf.UnknownFieldSet 알려지지 않은Fields) |
| TensorInfo.Builder | |
| TensorInfo.Builder | setCompositeTensor ( TensorInfo.CompositeTensor.Builder builderForValue) Generic encoding for CompositeTensors. |
| TensorInfo.Builder | setCooSparse ( TensorInfo.CooSparse 값) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.Builder | setCooSparse ( TensorInfo.CooSparse.Builder builderForValue) There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
| TensorInfo.Builder | |
| TensorInfo.Builder | setDtypeValue (정수 값) .tensorflow.DataType dtype = 2; |
| TensorInfo.Builder | setField (com.google.protobuf.Descriptors.FieldDescriptor 필드, 개체 값) |
| TensorInfo.Builder | setName (문자열 값) For dense `Tensor`s, the name of the tensor in the graph. |
| TensorInfo.Builder | setNameBytes (com.google.protobuf.ByteString 값) For dense `Tensor`s, the name of the tensor in the graph. |
| TensorInfo.Builder | setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 개체 값) |
| TensorInfo.Builder | setTensorShape ( TensorShapeProto 값) The static shape should be recorded here, to the extent that it can be known in advance. |
| TensorInfo.Builder | setTensorShape ( TensorShapeProto.Builder builderForValue) The static shape should be recorded here, to the extent that it can be known in advance. |
| 최종 TensorInfo.Builder | setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields) |
상속된 메서드
공개 방법
공개 TensorInfo.Builder ClearCompositeTensor ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.BuilderclearCooSparse ( )
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.Builder 클리어이름 ()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1; 공개 TensorInfo.Builder ClearTensorShape ()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 TensorInfo.CompositeTensor getCompositeTensor ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.CompositeTensor.Builder getCompositeTensorBuilder ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.CooSparse getCooSparse ()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.CooSparse.Builder getCooSparseBuilder ()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder ()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()
공개 com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
공개 int getDtypeValue ()
.tensorflow.DataType dtype = 2;
공개 문자열 getName ()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1; 공개 com.google.protobuf.ByteString getNameBytes ()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1; 공개 TensorShapeProto getTensorShape ()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 TensorShapeProto.Builder getTensorShapeBuilder ()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 부울 hasCompositeTensor ()
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 부울 hasCooSparse ()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 부울 hasTensorShape ()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 최종 부울 isInitialized ()
공개 TensorInfo.Builder mergeCompositeTensor ( TensorInfo.CompositeTensor 값)
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;공개 TensorInfo.Builder mergeCooSparse ( TensorInfo.CooSparse 값)
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.Builder mergeFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
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공개 TensorInfo.Builder mergeTensorShape ( TensorShapeProto 값)
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 TensorInfo.Builder setCompositeTensor ( TensorInfo.CompositeTensor 값)
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.Builder setCompositeTensor ( TensorInfo.CompositeTensor.Builder builderForValue)
Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5; 공개 TensorInfo.Builder setCooSparse ( TensorInfo.CooSparse 값)
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.Builder setCooSparse ( TensorInfo.CooSparse.Builder builderForValue)
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4; 공개 TensorInfo.Builder setName (문자열 값)
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1; 공개 TensorInfo.Builder setNameBytes (com.google.protobuf.ByteString 값)
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1; 공개 TensorInfo.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor 필드, int 인덱스, 객체 값)
공개 TensorInfo.Builder setTensorShape ( TensorShapeProto 값)
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3; 공개 TensorInfo.Builder setTensorShape ( TensorShapeProto.Builder builderForValue)
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;