TensorInfo

パブリック最終クラスTensorInfo

 Information about a Tensor necessary for feeding or retrieval.
 

Protobuf 型tensorflow.TensorInfo

ネストされたクラス

クラス	TensorInfo.Builder		Information about a Tensor necessary for feeding or retrieval.
クラス	TensorInfo.CompositeTensor		Generic encoding for composite tensors.
インターフェース	TensorInfo.CompositeTensorOrBuilder
クラス	TensorInfo.CooSparse		For sparse tensors, The COO encoding stores a triple of values, indices, and shape.
インターフェース	TensorInfo.CooSparseOrBuilder
列挙型	TensorInfo.EncodingCase

定数

整数	COMPOSITE_TENSOR_FIELD_NUMBER
整数	COO_SPARSE_FIELD_NUMBER
整数	DTYPE_FIELD_NUMBER
整数	NAME_FIELD_NUMBER
整数	TENSOR_SHAPE_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)
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).
静的TensorInfo	getDefaultInstance ()
テンソル情報	getDefaultInstanceForType ()
最終的な静的 com.google.protobuf.Descriptors.Descriptor	getDescriptor ()
データ・タイプ	getDtype () .tensorflow.DataType dtype = 2;
整数	getDtypeValue () .tensorflow.DataType dtype = 2;
TensorInfo.EncodingCase	getEncodingCase ()
弦	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.
	getParserForType ()
整数	getSerializedSize ()
テンソル形状プロト	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.
最終的な com.google.protobuf.UnknownFieldSet	getUnknownFields ()
ブール値	hasCompositeTensor () Generic encoding for CompositeTensors.
ブール値	hasCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
ブール値	hasTensorShape () The static shape should be recorded here, to the extent that it can be known in advance.
整数	ハッシュコード（）
最終ブール値	isInitialized ()
静的TensorInfo.Builder	newBuilder ( TensorInfoプロトタイプ)
静的TensorInfo.Builder	newBuilder ()
TensorInfo.Builder	newBuilderForType ()
静的TensorInfo	parseDelimitedFrom (InputStream 入力)
静的TensorInfo	parseDelimitedFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorInfo	parseFrom (ByteBuffer データ)
静的TensorInfo	parseFrom (com.google.protobuf.CodedInputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorInfo	parseFrom (ByteBuffer データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorInfo	parseFrom (com.google.protobuf.CodedInputStream 入力)
静的TensorInfo	parseFrom (byte[] データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorInfo	parseFrom (com.google.protobuf.ByteString データ)
静的TensorInfo	parseFrom (InputStream 入力、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的TensorInfo	parseFrom (com.google.protobuf.ByteString データ、com.google.protobuf.ExtensionRegistryLite extensionRegistry)
静的	パーサー()
TensorInfo.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.TensorInfoOrBuilderより

抽象TensorInfo.CompositeTensor	getCompositeTensor () Generic encoding for CompositeTensors.
抽象TensorInfo.CompositeTensorOrBuilder	getCompositeTensorOrBuilder () Generic encoding for CompositeTensors.
抽象TensorInfo.CooSparse	getCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象TensorInfo.CooSparseOrBuilder	getCooSparseOrBuilder () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象データ型	getDtype () .tensorflow.DataType dtype = 2;
抽象整数	getDtypeValue () .tensorflow.DataType dtype = 2;
抽象TensorInfo.EncodingCase	getEncodingCase ()
抽象文字列	getName () For dense `Tensor`s, the name of the tensor in the graph.
抽象的な com.google.protobuf.ByteString	getNameBytes () For dense `Tensor`s, the name of the tensor in the graph.
抽象TensorShapeProto	getTensorShape () The static shape should be recorded here, to the extent that it can be known in advance.
抽象TensorShapeProtoOrBuilder	getTensorShapeOrBuilder () The static shape should be recorded here, to the extent that it can be known in advance.
抽象ブール値	hasCompositeTensor () Generic encoding for CompositeTensors.
抽象ブール値	hasCooSparse () There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象ブール値	hasTensorShape () The static shape should be recorded here, to the extent that it can be known in advance.

定数

パブリック静的最終整数COMPOSITE_TENSOR_FIELD_NUMBER

定数値: 5

パブリック静的最終整数COO_SPARSE_FIELD_NUMBER

定数値: 4

パブリック静的最終整数DTYPE_FIELD_NUMBER

定数値: 2

パブリック静的最終整数NAME_FIELD_NUMBER

定数値: 1

パブリック静的最終整数TENSOR_SHAPE_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 TensorInfo.CompositeTensor getCompositeTensor ()

 Generic encoding for CompositeTensors.
 

.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder ()

 Generic encoding for CompositeTensors.
 

.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public 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;

public 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;

public static TensorInfo getDefaultInstance ()

public TensorInfo getDefaultInstanceForType ()

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

public DataType getDtype ()

.tensorflow.DataType dtype = 2;

public int getDtypeValue ()

.tensorflow.DataType dtype = 2;

public TensorInfo.EncodingCase getEncodingCase ()

public String getName ()

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

public com.google.protobuf.ByteString getNameBytes ()

 For dense `Tensor`s, the name of the tensor in the graph.
 

string name = 1;

公共getParserForType ()

public int getSerializedSize ()

public 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;

public 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;

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

public boolean hasCompositeTensor ()

 Generic encoding for CompositeTensors.
 

.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

public boolean 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;

public boolean 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;

public int hashCode ()

パブリック最終ブール値isInitialized ()

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

public static TensorInfo.Builder newBuilder ()

public TensorInfo.Builder newBuilderForType ()

public static TensorInfo parseDelimitedFrom (InputStream 入力)

投げる

IO例外

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

投げる

IO例外

public static TensorInfo parseFrom (ByteBuffer データ)

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無効なプロトコルバッファ例外

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

投げる

IO例外

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

投げる

IO例外

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

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IO例外

public static TensorInfo 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 TensorInfo.Builder toBuilder ()

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

投げる

IO例外