final class TensorRepresentation extends GeneratedMessageV3 with TensorRepresentationOrBuilder
A TensorRepresentation captures the intent for converting columns in a dataset to TensorFlow Tensors (or more generally, tf.CompositeTensors). Note that one tf.CompositeTensor may consist of data from multiple columns, for example, a N-dimensional tf.SparseTensor may need N + 1 columns to provide the sparse indices and values. Note that the "column name" that a TensorRepresentation needs is a string, not a Path -- it means that the column name identifies a top-level Feature in the schema (i.e. you cannot specify a Feature nested in a STRUCT Feature).
Protobuf type tensorflow.metadata.v0.TensorRepresentation
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- By Inheritance
- TensorRepresentation
- TensorRepresentationOrBuilder
- GeneratedMessageV3
- Serializable
- AbstractMessage
- Message
- MessageOrBuilder
- AbstractMessageLite
- MessageLite
- MessageLiteOrBuilder
- AnyRef
- Any
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- Public
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Value Members
- def equals(obj: AnyRef): Boolean
- Definition Classes
- TensorRepresentation → AbstractMessage → Message → AnyRef → Any
- Annotations
- @Override()
- def findInitializationErrors(): List[String]
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getDefaultInstanceForType(): TensorRepresentation
- Definition Classes
- TensorRepresentation → MessageOrBuilder → MessageLiteOrBuilder
- Annotations
- @Override()
- def getDenseTensor(): DenseTensor
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
- returns
The denseTensor.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getDenseTensorOrBuilder(): DenseTensorOrBuilder
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getDescriptorForType(): Descriptor
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getField(field: FieldDescriptor): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getInitializationErrorString(): String
- Definition Classes
- AbstractMessage → MessageOrBuilder
- def getKindCase(): KindCase
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def getParserForType(): Parser[TensorRepresentation]
- Definition Classes
- TensorRepresentation → GeneratedMessageV3 → Message → MessageLite
- Annotations
- @Override()
- def getRaggedTensor(): RaggedTensor
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
- returns
The raggedTensor.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getRaggedTensorOrBuilder(): RaggedTensorOrBuilder
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getSerializedSize(): Int
- Definition Classes
- TensorRepresentation → GeneratedMessageV3 → AbstractMessage → MessageLite
- Annotations
- @Override()
- def getSparseTensor(): SparseTensor
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
- returns
The sparseTensor.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getSparseTensorOrBuilder(): SparseTensorOrBuilder
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getUnknownFields(): UnknownFieldSet
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def getVarlenSparseTensor(): VarLenSparseTensor
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
- returns
The varlenSparseTensor.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def getVarlenSparseTensorOrBuilder(): VarLenSparseTensorOrBuilder
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def hasDenseTensor(): Boolean
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
.tensorflow.metadata.v0.TensorRepresentation.DenseTensor dense_tensor = 1;
- returns
Whether the denseTensor field is set.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def hasField(field: FieldDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → MessageOrBuilder
- def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
- GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
- def hasRaggedTensor(): Boolean
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
.tensorflow.metadata.v0.TensorRepresentation.RaggedTensor ragged_tensor = 4;
- returns
Whether the raggedTensor field is set.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def hasSparseTensor(): Boolean
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
.tensorflow.metadata.v0.TensorRepresentation.SparseTensor sparse_tensor = 3;
- returns
Whether the sparseTensor field is set.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def hasVarlenSparseTensor(): Boolean
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
.tensorflow.metadata.v0.TensorRepresentation.VarLenSparseTensor varlen_sparse_tensor = 2;
- returns
Whether the varlenSparseTensor field is set.
- Definition Classes
- TensorRepresentation → TensorRepresentationOrBuilder
- Annotations
- @Override()
- def hashCode(): Int
- Definition Classes
- TensorRepresentation → AbstractMessage → Message → AnyRef → Any
- Annotations
- @Override()
- final def isInitialized(): Boolean
- Definition Classes
- TensorRepresentation → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
- Annotations
- @Override()
- def newBuilderForType(): Builder
- Definition Classes
- TensorRepresentation → Message → MessageLite
- Annotations
- @Override()
- def toBuilder(): Builder
- Definition Classes
- TensorRepresentation → Message → MessageLite
- Annotations
- @Override()
- def toByteArray(): Array[Byte]
- Definition Classes
- AbstractMessageLite → MessageLite
- def toByteString(): ByteString
- Definition Classes
- AbstractMessageLite → MessageLite
- final def toString(): String
- Definition Classes
- AbstractMessage → Message → AnyRef → Any
- def writeDelimitedTo(output: OutputStream): Unit
- Definition Classes
- AbstractMessageLite → MessageLite
- Annotations
- @throws(classOf[java.io.IOException])
- def writeTo(output: CodedOutputStream): Unit
- Definition Classes
- TensorRepresentation → GeneratedMessageV3 → AbstractMessage → MessageLite
- Annotations
- @Override()
- def writeTo(output: OutputStream): Unit
- Definition Classes
- AbstractMessageLite → MessageLite
- Annotations
- @throws(classOf[java.io.IOException])