TensorShapeProto

כיתת גמר ציבורית TensorShapeProto

 Dimensions of a tensor.
tensorflow.TensorShapeProto מסוג Protobuf.TensorShapeProto

כיתות מקוננות

מַחלָקָה TensorShapeProto.Builder 
 Dimensions of a tensor. 
מַחלָקָה TensorShapeProto.Dim 
 One dimension of the tensor. 
מִמְשָׁק TensorShapeProto.DimOrBuilder

קבועים

int DIM_FIELD_NUMBER
int UNKNOWN_RANK_FIELD_NUMBER

שיטות ציבוריות

בוליאני
שווה (Object obj)
סטטי TensorShapeProto
getDefaultInstance ()
TensorShapeProto
getDefaultInstanceForType ()
final static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
TensorShapeProto.Dim
getDim (אינדקס int) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
int
getDimCount () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
רשימה< TensorShapeProto.Dim >
getDimList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder
getDimOrBuilder (int index) 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
רשימה<? מרחיב את TensorShapeProto.DimOrBuilder >
getDimOrBuilderList () 
 Dimensions of the tensor, such as {"input", 30}, {"output", 40}
 for a 30 x 40 2D tensor.
getParserForType ()
int
getSerializedSize ()
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
בוליאני
getUnknownRank () 
 If true, the number of dimensions in the shape is unknown.
int
hashcode ()
בוליאנית סופית
isinitialized ()
סטטי TensorShapeProto.Builder
newBuilder (אב טיפוס TensorShapeProto )
סטטי TensorShapeProto.Builder
newBuilder ()
TensorShapeProto.Builder
newBuilderForType ()
סטטי TensorShapeProto
parseDelimitedFrom (קלט InputStream)
סטטי TensorShapeProto
parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorShapeProto
parseFrom (נתוני ByteBuffer)
סטטי TensorShapeProto
parseFrom (קלט com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorShapeProto
parseFrom (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorShapeProto
parseFrom (קלט com.google.protobuf.CodedInputStream)
סטטי TensorShapeProto
parseFrom (נתוני byte[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorShapeProto
parseFrom (נתוני com.google.protobuf.ByteString)
סטטי TensorShapeProto
parseFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטטי TensorShapeProto
parseFrom (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
סטָטִי
מנתח ()
TensorShapeProto.Builder
toBuilder ()
בָּטֵל
writeTo (פלט com.google.protobuf.CodedOutputStream)

שיטות בירושה

קבועים

גמר סטטי ציבורי DIM_FIELD_NUMBER

ערך קבוע: 2

גמר סטטי ציבורי UNKNOWN_RANK_FIELD_NUMBER

ערך קבוע: 3

שיטות ציבוריות

שווה ערך בוליאני ציבורי (Object obj)

סטטי ציבורי TensorShapeProto getDefaultInstance ()

public TensorShapeProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

הציבור TensorShapeProto.Dim getDim (אינדקס int) 

 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;

public 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;

רשימה ציבורית< 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;

public TensorShapeProto.DimOrBuilder getDimOrBuilder (int index) 

 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;

רשימה ציבורית<? מרחיב את TensorShapeProto.DimOrBuilder > getDimOrBuilderList () 

 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;

פּוּמְבֵּי getParserForType ()

public int getSerializedSize ()

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

בוליאני ציבורי getUnknownRank () 

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

public int hashCode ()

בוליאני הסופי הציבורי הוא אתחול ()

TensorShapeProto.Builder newBuilder סטטי ציבורי (אב-טיפוס TensorShapeProto )

סטטי ציבורי TensorShapeProto.Builder newBuilder ()

public TensorShapeProto.Builder newBuilderForType ()

סטטי ציבורי TensorShapeProto parseDelimitedFrom (קלט InputStream)

זורק
IOException

סטטי ציבורי TensorShapeProto parseDelimitedFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorShapeProto parseFrom סטטי ציבורי (נתוני ByteBuffer)

זורק
InvalidProtocolBufferException

TensorShapeProto parseFrom סטטי ציבורי (com.google.protobuf.CodedInputStream קלט, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorShapeProto parseFrom סטטי ציבורי (נתוני ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

TensorShapeProto parseFrom סטטי ציבורי (קלט com.google.protobuf.CodedInputStream)

זורק
IOException

ציבורי סטטי TensorShapeProto parseFrom (נתוני byte[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

סטטי ציבורי TensorShapeProto parseFrom (נתוני com.google.protobuf.ByteString)

זורק
InvalidProtocolBufferException

ציבורי סטטי TensorShapeProto parseFrom (קלט InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
IOException

TensorShapeProto parseFrom סטטי ציבורי (נתוני com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

זורק
InvalidProtocolBufferException

סטטי ציבורי מנתח ()

הציבור TensorShapeProto.Builder toBuilder ()

public void writeTo (פלט com.google.protobuf.CodedOutputStream)

זורק
IOException