TensorShapeProto

パブリック最終クラスTensorShapeProto

 Dimensions of a tensor.
 

Protobuf 型tensorflow.TensorShapeProto

ネストされたクラス

クラス	TensorShapeProto.Builder		Dimensions of a tensor.
クラス	TensorShapeProto.Dim		One dimension of the tensor.
インターフェース	TensorShapeProto.DimOrBuilder

定数

整数	DIM_FIELD_NUMBER
整数	UNKNOWN_RANK_FIELD_NUMBER

パブリックメソッド

ブール値	等しい(オブジェクトオブジェクト)
静的TensorShapeProto	getDefaultInstance ()
テンソル形状プロト	getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
TensorShapeProto.Dim	getDim (int インデックス) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
整数	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
リスト< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
TensorShapeProto.DimOrBuilder	getDimOrBuilder (int インデックス) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
リスト<? TensorShapeProto.DimOrBuilderを拡張します >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
	getParserForType ()
整数	getSerializedSize ()
最終的な com.google.protobuf.UnknownFieldSet	getUnknownFields ()
ブール値	getUnknownRank () If true, the number of dimensions in the shape is unknown.
整数	ハッシュコード（）
最終ブール値	isInitialized ()
静的TensorShapeProto.Builder	newBuilder ( TensorShapeProtoプロトタイプ)
静的TensorShapeProto.Builder	newBuilder ()
TensorShapeProto.Builder	newBuilderForType ()
静的TensorShapeProto	parseDelimitedFrom (InputStream 入力)
静的TensorShapeProto	parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorShapeProto	parseFrom (ByteBuffer データ)
静的TensorShapeProto	parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorShapeProto	parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorShapeProto	parseFrom (com.google.protobuf.CodedInputStream 入力)
静的TensorShapeProto	parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorShapeProto	parseFrom (com.google.protobuf.ByteString データ)
静的TensorShapeProto	parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorShapeProto	parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的	パーサー()
TensorShapeProto.Builder	toビルダー()
空所	writeTo (com.google.protobuf.CodedOutputStream 出力)

継承されたメソッド

クラスjava.lang.Objectから

ブール値	等しい(オブジェクト arg0)
最終クラス<?>	getクラス()
整数	ハッシュコード（）
最後の空白	通知する()
最後の空白	すべて通知()
弦	toString ()
最後の空白	wait (long arg0, int arg1)
最後の空白	待機(長い引数0)
最後の空白	待って（）

インターフェースorg.tensorflow.proto.framework.TensorShapeProtoOrBuilderより

抽象TensorShapeProto.Dim	getDim (int インデックス) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
抽象整数	getDimCount () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
抽象リスト< TensorShapeProto.Dim >	getDimList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
抽象TensorShapeProto.DimOrBuilder	getDimOrBuilder (int インデックス) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
抽象リスト<? TensorShapeProto.DimOrBuilderを拡張します >	getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.
抽象ブール値	getUnknownRank () If true, the number of dimensions in the shape is unknown.

定数

パブリック静的最終整数DIM_FIELD_NUMBER

定数値: 2

パブリック静的最終整数UNKNOWN_RANK_FIELD_NUMBER

定数値: 3

パブリックメソッド

public booleanに等しい(オブジェクト obj)

public static TensorShapeProto getDefaultInstance ()

public TensorShapeProto getDefaultInstanceForType ()

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

public TensorShapeProto.Dim getDim (int インデックス)

 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;

public List< 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 インデックス)

 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;

公開リスト<? extends 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;

公共getParserForType ()

public int getSerializedSize ()

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

public boolean 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 ()

パブリック最終ブール値isInitialized ()

public static TensorShapeProto.Builder newBuilder ( TensorShapeProtoプロトタイプ)

public static TensorShapeProto.Builder newBuilder ()

public TensorShapeProto.Builder newBuilderForType ()

public static TensorShapeProto parseDelimitedFrom (InputStream 入力)

投げる

IO例外

public static TensorShapeProto parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static TensorShapeProto parseFrom (ByteBuffer データ)

投げる

無効なプロトコルバッファ例外

public static TensorShapeProto parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static TensorShapeProto parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

無効なプロトコルバッファ例外

public static TensorShapeProto parseFrom (com.google.protobuf.CodedInputStream 入力)

投げる

IO例外

public static TensorShapeProto parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

無効なプロトコルバッファ例外

public static TensorShapeProto parseFrom (com.google.protobuf.ByteString データ)

投げる

無効なプロトコルバッファ例外

public static TensorShapeProto parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

IO例外

public static TensorShapeProto parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)

投げる

無効なプロトコルバッファ例外

パブリック静的パーサー()

public TensorShapeProto.Builder toBuilder ()

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

投げる

IO例外