공개 최종 클래스 TensorInfo
Information about a Tensor necessary for feeding or retrieval.Protobuf 유형
tensorflow.TensorInfo
중첩 클래스
수업 | TensorInfo.Builder | Information about a Tensor necessary for feeding or retrieval. | |
수업 | TensorInfo.CompositeTensor | Generic encoding for composite tensors. | |
상호 작용 | TensorInfo.CompositeTensorOrBuilder | ||
수업 | TensorInfo.CooSparse | For sparse tensors, The COO encoding stores a triple of values, indices, and shape. | |
상호 작용 | TensorInfo.CooSparseOrBuilder | ||
열거형 | TensorInfo.EncodingCase |
상수
정수 | COMPOSITE_TENSOR_FIELD_NUMBER | |
정수 | COO_SPARSE_FIELD_NUMBER | |
정수 | DTYPE_FIELD_NUMBER | |
정수 | NAME_FIELD_NUMBER | |
정수 | TENSOR_SHAPE_FIELD_NUMBER |
공개 방법
부울 | 같음 (객체 객체) |
TensorInfo.CompositeTensor | getCompositeTensor () 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.CooSparseOrBuilder | getCooSparseOrBuilder () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). |
정적 TensorInfo | |
텐서정보 | |
최종 정적 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. |
정수 | |
TensorShapeProto | getTensorShape () 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. |
최종 com.google.protobuf.UnknownFieldSet | |
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. |
정수 | 해시 코드 () |
최종 부울 | 초기화됨 () |
정적 TensorInfo.Builder | newBuilder ( TensorInfo 프로토타입) |
정적 TensorInfo.Builder | 새로운 빌더 () |
TensorInfo.Builder | |
정적 TensorInfo | parsDelimitedFrom (InputStream 입력) |
정적 TensorInfo | parseDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
정적 TensorInfo | parsFrom (ByteBuffer 데이터) |
정적 TensorInfo | ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
정적 TensorInfo | ParseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
정적 TensorInfo | ParseFrom (com.google.protobuf.CodedInputStream 입력) |
정적 TensorInfo | parseFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry) |
정적 TensorInfo | ParseFrom (com.google.protobuf.ByteString 데이터) |
정적 TensorInfo | ParseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
정적 TensorInfo | ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
공전 | 파서 () |
TensorInfo.Builder | toBuilder () |
무효의 | writeTo (com.google.protobuf.CodedOutputStream 출력) |
상속된 메서드
상수
공개 정적 최종 int COMPOSITE_TENSOR_FIELD_NUMBER
상수값: 5
공개 정적 최종 int COO_SPARSE_FIELD_NUMBER
상수값: 4
공개 정적 최종 int DTYPE_FIELD_NUMBER
상수값: 2
공개 정적 최종 정수 NAME_FIELD_NUMBER
상수값: 1
공개 정적 최종 int TENSOR_SHAPE_FIELD_NUMBER
상수값: 3
공개 방법
공개 부울 은 (객체 obj)와 같습니다 .
공개 TensorInfo.CompositeTensor getCompositeTensor ()
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.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 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;
공공의 getParserForType ()
공개 int getSerializedSize ()
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 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 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()
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 int hashCode ()
공개 최종 부울 isInitialized ()
공개 정적 TensorInfoparseDelimitedFrom ( InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
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공개 정적 TensorInfo parseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
IO예외 |
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공개 정적 TensorInfo parseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
잘못된프로토콜버퍼예외 |
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공개 정적 TensorInfo parsFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
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잘못된프로토콜버퍼예외 |
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공개 정적 TensorInfo parseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
IO예외 |
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공개 정적 TensorInfo parseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
던지기
잘못된프로토콜버퍼예외 |
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공개 정적 파서 ()
공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)
던지기
IO예외 |
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