TensorShapeProto

כיתת גמר ציבורית TensorShapeProto

 Dimensions of a tensor.
 

tensorflow.TensorShapeProto מסוג Protobuf.TensorShapeProto

כיתות מקוננות

מעמד	TensorShapeProto.Builder		Dimensions of a tensor.
מעמד	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

מכיתה java.lang.Object

בוליאני	שווה (Object arg0)
שיעור אחרון<?>	getClass ()
int	hashcode ()
ריק סופי	להודיע ​​()
ריק סופי	הודע הכל ()
חוּט	toString ()
ריק סופי	המתן (ארג0 ארוך, int arg1)
ריק סופי	חכה (ארג0 ארוך)
ריק סופי	חכה ()

מהממשק org.tensorflow.proto.framework.TensorShapeProtoOrBuilder

תקציר TensorShapeProto.Dim	getDim (אינדקס int) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
מופשט int	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
רשימה מופשטת< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
תקציר TensorShapeProto.DimOrBuilder	getDimOrBuilder (int index) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
רשימה מופשטת<? מרחיב את TensorShapeProto.DimOrBuilder >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
בוליאני מופשט	getUnknownRank () If true, the number of dimensions in the shape is unknown.

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 ()

Public TensorShapeProto.Dim getDim (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;

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