Package org.tensorflow.framework
Class TensorInfo
- java.lang.Object
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- org.nd4j.shade.protobuf.AbstractMessageLite
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- org.nd4j.shade.protobuf.AbstractMessage
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- org.nd4j.shade.protobuf.GeneratedMessageV3
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- org.tensorflow.framework.TensorInfo
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- All Implemented Interfaces:
Serializable,org.nd4j.shade.protobuf.Message,org.nd4j.shade.protobuf.MessageLite,org.nd4j.shade.protobuf.MessageLiteOrBuilder,org.nd4j.shade.protobuf.MessageOrBuilder,TensorInfoOrBuilder
public final class TensorInfo extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements TensorInfoOrBuilder
Information about a Tensor necessary for feeding or retrieval.
Protobuf typetensorflow.TensorInfo- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classTensorInfo.BuilderInformation about a Tensor necessary for feeding or retrieval.static classTensorInfo.CooSparseFor sparse tensors, The COO encoding stores a triple of values, indices, and shape.static interfaceTensorInfo.CooSparseOrBuilderstatic classTensorInfo.EncodingCase-
Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter
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Field Summary
Fields Modifier and Type Field Description static intCOO_SPARSE_FIELD_NUMBERstatic intDTYPE_FIELD_NUMBERstatic intNAME_FIELD_NUMBERstatic intTENSOR_SHAPE_FIELD_NUMBER
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description booleanequals(Object obj)TensorInfo.CooSparsegetCooSparse()There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).TensorInfo.CooSparseOrBuildergetCooSparseOrBuilder()There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).static TensorInfogetDefaultInstance()TensorInfogetDefaultInstanceForType()static org.nd4j.shade.protobuf.Descriptors.DescriptorgetDescriptor()DataTypegetDtype().tensorflow.DataType dtype = 2;intgetDtypeValue().tensorflow.DataType dtype = 2;TensorInfo.EncodingCasegetEncodingCase()StringgetName()For dense `Tensor`s, the name of the tensor in the graph.org.nd4j.shade.protobuf.ByteStringgetNameBytes()For dense `Tensor`s, the name of the tensor in the graph.org.nd4j.shade.protobuf.Parser<TensorInfo>getParserForType()intgetSerializedSize()TensorShapeProtogetTensorShape()The static shape should be recorded here, to the extent that it can be known in advance.TensorShapeProtoOrBuildergetTensorShapeOrBuilder()The static shape should be recorded here, to the extent that it can be known in advance.org.nd4j.shade.protobuf.UnknownFieldSetgetUnknownFields()booleanhasCooSparse()There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix).inthashCode()booleanhasName()For dense `Tensor`s, the name of the tensor in the graph.booleanhasTensorShape()The static shape should be recorded here, to the extent that it can be known in advance.protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()booleanisInitialized()static TensorInfo.BuildernewBuilder()static TensorInfo.BuildernewBuilder(TensorInfo prototype)TensorInfo.BuildernewBuilderForType()protected TensorInfo.BuildernewBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)protected ObjectnewInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)static TensorInfoparseDelimitedFrom(InputStream input)static TensorInfoparseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static TensorInfoparseFrom(byte[] data)static TensorInfoparseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static TensorInfoparseFrom(InputStream input)static TensorInfoparseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static TensorInfoparseFrom(ByteBuffer data)static TensorInfoparseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static TensorInfoparseFrom(org.nd4j.shade.protobuf.ByteString data)static TensorInfoparseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static TensorInfoparseFrom(org.nd4j.shade.protobuf.CodedInputStream input)static TensorInfoparseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)static org.nd4j.shade.protobuf.Parser<TensorInfo>parser()TensorInfo.BuildertoBuilder()voidwriteTo(org.nd4j.shade.protobuf.CodedOutputStream output)-
Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Field Detail
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NAME_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER
- See Also:
- Constant Field Values
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COO_SPARSE_FIELD_NUMBER
public static final int COO_SPARSE_FIELD_NUMBER
- See Also:
- Constant Field Values
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DTYPE_FIELD_NUMBER
public static final int DTYPE_FIELD_NUMBER
- See Also:
- Constant Field Values
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TENSOR_SHAPE_FIELD_NUMBER
public static final int TENSOR_SHAPE_FIELD_NUMBER
- See Also:
- Constant Field Values
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Method Detail
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newInstance
protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstancein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getUnknownFields
public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
- Specified by:
getUnknownFieldsin interfaceorg.nd4j.shade.protobuf.MessageOrBuilder- Overrides:
getUnknownFieldsin classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDescriptor
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTablein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getEncodingCase
public TensorInfo.EncodingCase getEncodingCase()
- Specified by:
getEncodingCasein interfaceTensorInfoOrBuilder
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hasName
public boolean hasName()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;- Specified by:
hasNamein interfaceTensorInfoOrBuilder- Returns:
- Whether the name field is set.
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getName
public String getName()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;- Specified by:
getNamein interfaceTensorInfoOrBuilder- Returns:
- The name.
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getNameBytes
public org.nd4j.shade.protobuf.ByteString getNameBytes()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;- Specified by:
getNameBytesin interfaceTensorInfoOrBuilder- Returns:
- The bytes for name.
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hasCooSparse
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;- Specified by:
hasCooSparsein interfaceTensorInfoOrBuilder- Returns:
- Whether the cooSparse field is set.
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getCooSparse
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;- Specified by:
getCooSparsein interfaceTensorInfoOrBuilder- Returns:
- The cooSparse.
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getCooSparseOrBuilder
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;- Specified by:
getCooSparseOrBuilderin interfaceTensorInfoOrBuilder
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getDtypeValue
public int getDtypeValue()
.tensorflow.DataType dtype = 2;- Specified by:
getDtypeValuein interfaceTensorInfoOrBuilder- Returns:
- The enum numeric value on the wire for dtype.
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getDtype
public DataType getDtype()
.tensorflow.DataType dtype = 2;- Specified by:
getDtypein interfaceTensorInfoOrBuilder- Returns:
- The dtype.
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hasTensorShape
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;- Specified by:
hasTensorShapein interfaceTensorInfoOrBuilder- Returns:
- Whether the tensorShape field is set.
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getTensorShape
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;- Specified by:
getTensorShapein interfaceTensorInfoOrBuilder- Returns:
- The tensorShape.
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getTensorShapeOrBuilder
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;- Specified by:
getTensorShapeOrBuilderin interfaceTensorInfoOrBuilder
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitializedin interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classorg.nd4j.shade.protobuf.GeneratedMessageV3
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writeTo
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws IOException- Specified by:
writeToin interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
writeToin classorg.nd4j.shade.protobuf.GeneratedMessageV3- Throws:
IOException
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getSerializedSize
public int getSerializedSize()
- Specified by:
getSerializedSizein interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
getSerializedSizein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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equals
public boolean equals(Object obj)
- Specified by:
equalsin interfaceorg.nd4j.shade.protobuf.Message- Overrides:
equalsin classorg.nd4j.shade.protobuf.AbstractMessage
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hashCode
public int hashCode()
- Specified by:
hashCodein interfaceorg.nd4j.shade.protobuf.Message- Overrides:
hashCodein classorg.nd4j.shade.protobuf.AbstractMessage
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parseFrom
public static TensorInfo parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorInfo parseFrom(InputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static TensorInfo parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static TensorInfo parseDelimitedFrom(InputStream input) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static TensorInfo parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseFrom
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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newBuilderForType
public TensorInfo.Builder newBuilderForType()
- Specified by:
newBuilderForTypein interfaceorg.nd4j.shade.protobuf.Message- Specified by:
newBuilderForTypein interfaceorg.nd4j.shade.protobuf.MessageLite
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newBuilder
public static TensorInfo.Builder newBuilder()
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newBuilder
public static TensorInfo.Builder newBuilder(TensorInfo prototype)
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toBuilder
public TensorInfo.Builder toBuilder()
- Specified by:
toBuilderin interfaceorg.nd4j.shade.protobuf.Message- Specified by:
toBuilderin interfaceorg.nd4j.shade.protobuf.MessageLite
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newBuilderForType
protected TensorInfo.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForTypein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstance
public static TensorInfo getDefaultInstance()
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parser
public static org.nd4j.shade.protobuf.Parser<TensorInfo> parser()
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getParserForType
public org.nd4j.shade.protobuf.Parser<TensorInfo> getParserForType()
- Specified by:
getParserForTypein interfaceorg.nd4j.shade.protobuf.Message- Specified by:
getParserForTypein interfaceorg.nd4j.shade.protobuf.MessageLite- Overrides:
getParserForTypein classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstanceForType
public TensorInfo getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForTypein interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
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