TensorShapeProto

공개 최종 클래스 TensorShapeProto

 Dimensions of a tensor.
Protobuf 유형 tensorflow.TensorShapeProto

중첩 클래스

수업 TensorShapeProto.Builder
 Dimensions of a tensor. 
수업 TensorShapeProto.Dim
 One dimension of the tensor. 
상호 작용 TensorShapeProto.DimOrBuilder

상수

정수 DIM_FIELD_NUMBER
정수 UNKNOWN_RANK_FIELD_NUMBER

공개 방법

부울
같음 (객체 객체)
정적 TensorShapeProto
getDefaultInstance ()
TensorShapeProto
getDefaultInstanceForType ()
최종 정적 com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
TensorShapeProto.Dim
getDim (정수 인덱스)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
정수
getDim카운트 ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
목록< TensorShapeProto.Dim >
getDimList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (정수 인덱스)
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
목록<? TensorShapeProto.DimOrBuilder 확장 >
getDimOrBuilderList ()
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
getParserForType ()
정수
getSerializedSize ()
최종 com.google.protobuf.UnknownFieldSet
getUnknownFields ()
부울
getUnknownRank ()
 If true, the number of dimensions in the shape is unknown.
정수
해시 코드 ()
최종 부울
초기화됨 ()
정적 TensorShapeProto.Builder
newBuilder ( TensorShapeProto 프로토타입)
정적 TensorShapeProto.Builder
새로운 빌더 ()
TensorShapeProto.Builder
newBuilderForType ()
정적 TensorShapeProto
parsDelimitedFrom (InputStream 입력)
정적 TensorShapeProto
parseDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 TensorShapeProto
parsFrom (ByteBuffer 데이터)
정적 TensorShapeProto
ParseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 TensorShapeProto
ParseFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 TensorShapeProto
ParseFrom (com.google.protobuf.CodedInputStream 입력)
정적 TensorShapeProto
parseFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite 확장Registry)
정적 TensorShapeProto
ParseFrom (com.google.protobuf.ByteString 데이터)
정적 TensorShapeProto
ParseFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
정적 TensorShapeProto
ParseFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
공전
파서 ()
TensorShapeProto.Builder
toBuilder ()
무효의
writeTo (com.google.protobuf.CodedOutputStream 출력)

상속된 메서드

상수

공개 정적 최종 int DIM_FIELD_NUMBER

상수값: 2

공개 정적 최종 int UNKNOWN_RANK_FIELD_NUMBER

상수값: 3

공개 방법

공개 부울 은 (객체 obj)와 같습니다 .

공개 정적 TensorShapeProto getDefaultInstance ()

공개 TensorShapeProto getDefaultInstanceForType ()

공개 정적 최종 com.google.protobuf.Descriptors.Descriptor getDescriptor ()

공개 TensorShapeProto.Dim getDim (int 인덱스) 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

공개 int getDimCount () 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

공개 목록< TensorShapeProto.Dim > getDimList () 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

공개 TensorShapeProto.DimOrBuilder getDimOrBuilder (int 인덱스) 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

공개 목록<? TensorShapeProto.DimOrBuilder > getDimOrBuilderList ()를 확장합니다. 

 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.  If an entry has size -1, this
 corresponds to a dimension of unknown size. The names are
 optional.
 The order of entries in "dim" matters: It indicates the layout of the
 values in the tensor in-memory representation.
 The first entry in "dim" is the outermost dimension used to layout the
 values, the last entry is the innermost dimension.  This matches the
 in-memory layout of RowMajor Eigen tensors.
 If "dim.size()" > 0, "unknown_rank" must be false.
repeated .tensorflow.TensorShapeProto.Dim dim = 2;

공공의 getParserForType ()

공개 int getSerializedSize ()

공개 최종 com.google.protobuf.UnknownFieldSet getUnknownFields ()

공개 부울 getUnknownRank () 

 If true, the number of dimensions in the shape is unknown.
 If true, "dim.size()" must be 0.
bool unknown_rank = 3;

공개 int hashCode ()

공개 최종 부울 isInitialized ()

공개 정적 TensorShapeProto.Builder newBuilder ( TensorShapeProto 프로토타입)

공개 정적 TensorShapeProto.Builder newBuilder ()

공개 TensorShapeProto.Builder newBuilderForType ()

공개 정적 TensorShapeProto parsDelimitedFrom (InputStream 입력)

던지기
IO예외

공개 정적 TensorShapeProto parsDelimitedFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 정적 TensorShapeProto parsFrom (ByteBuffer 데이터)

던지기
잘못된프로토콜버퍼예외

공개 정적 TensorShapeProto parseFrom (com.google.protobuf.CodedInputStream 입력, com.google.protobuf.ExtensionRegistryLite 확장Registry)

던지기
IO예외

공개 정적 TensorShapeProto parsFrom (ByteBuffer 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
잘못된프로토콜버퍼예외

공개 정적 TensorShapeProto parsFrom (com.google.protobuf.CodedInputStream 입력)

던지기
IO예외

공개 정적 TensorShapeProto parsFrom (byte[] 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
잘못된프로토콜버퍼예외

공개 정적 TensorShapeProto parsFrom (com.google.protobuf.ByteString 데이터)

던지기
잘못된프로토콜버퍼예외

공개 정적 TensorShapeProto parsFrom (InputStream 입력, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
IO예외

공개 정적 TensorShapeProto parsFrom (com.google.protobuf.ByteString 데이터, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

던지기
잘못된프로토콜버퍼예외

공개 정적 파서 ()

공개 TensorShapeProto.Builder toBuilder ()

공개 무효 writeTo (com.google.protobuf.CodedOutputStream 출력)

던지기
IO예외