Type Members

1.  case class BoolTensor(shape: TensorShape, data: Seq[Boolean]) extends TypedTensor[DT_BOOL.type] with Product with Serializable
2.  case class DComplexTensor(shape: TensorShape, data: Seq[Double]) extends TypedTensor[DT_COMPLEX128.type] with Product with Serializable
3.  case class DoubleTensor(shape: TensorShape, data: Seq[Double]) extends TypedTensor[DT_DOUBLE.type] with Product with Serializable
4.  case class FloatTensor(shape: TensorShape, data: Seq[Float]) extends TypedTensor[DT_FLOAT.type] with Product with Serializable
5.  case class Int16Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_INT16.type] with Product with Serializable
6.  case class Int32Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_INT32.type] with Product with Serializable
7.  case class Int64Tensor(shape: TensorShape, data: Seq[Long]) extends TypedTensor[DT_INT64.type] with Product with Serializable
8.  case class Int8Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_INT8.type] with Product with Serializable
9.  trait IntTensor[T <: DataType] extends TypedTensor[T]
10.  case class MapTensor(shape: TensorShape, data: Seq[Map[String, TypedTensor[_]]]) extends TypedTensor[DT_MAP.type] with Product with Serializable
11.  final case class MapTensorData(subtensors: Map[String, TensorProto] = ...) extends GeneratedMessage with Message[MapTensorData] with Updatable[MapTensorData] with Product with Serializable

    Annotations

    @SerialVersionUID()

12.  case class SComplexTensor(shape: TensorShape, data: Seq[Float]) extends TypedTensor[DT_COMPLEX64.type] with Product with Serializable
13.  case class StringTensor(shape: TensorShape, data: Seq[String]) extends TypedTensor[DT_STRING.type] with Product with Serializable
14.  final case class TensorProto(dtype: DataType = ..., tensorShape: Option[TensorShapeProto] = None, versionNumber: Int = 0, tensorContent: ByteString = ..., halfVal: Seq[Int] = _root_.scala.collection.Seq.empty, floatVal: Seq[Float] = _root_.scala.collection.Seq.empty, doubleVal: Seq[Double] = _root_.scala.collection.Seq.empty, intVal: Seq[Int] = _root_.scala.collection.Seq.empty, stringVal: Seq[ByteString] = _root_.scala.collection.Seq.empty, scomplexVal: Seq[Float] = _root_.scala.collection.Seq.empty, int64Val: Seq[Long] = _root_.scala.collection.Seq.empty, boolVal: Seq[Boolean] = _root_.scala.collection.Seq.empty, dcomplexVal: Seq[Double] = _root_.scala.collection.Seq.empty, variantVal: Seq[VariantTensorDataProto] = _root_.scala.collection.Seq.empty, uint32Val: Seq[Int] = _root_.scala.collection.Seq.empty, uint64Val: Seq[Long] = _root_.scala.collection.Seq.empty, mapVal: Seq[MapTensorData] = _root_.scala.collection.Seq.empty) extends GeneratedMessage with Message[TensorProto] with Updatable[TensorProto] with Product with Serializable

    Protocol buffer representing a tensor.

    Protocol buffer representing a tensor.

    tensorShape

    Shape of the tensor.

    versionNumber

    Version number. In version 0, if the "repeated xxx" representations contain only one element, that element is repeated to fill the shape. This makes it easy to represent a constant Tensor with a single value.

    tensorContent

    Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation can be used for all tensor types. The purpose of this representation is to reduce serialization overhead during RPC call by avoiding serialization of many repeated small items.

    halfVal

    DT_HALF. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.

    floatVal

    DT_FLOAT.

    doubleVal

    DT_DOUBLE.

    intVal

    DT_INT32, DT_INT16, DT_INT8, DT_UINT8.

    stringVal

    DT_STRING

    scomplexVal

    DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.

    int64Val

    DT_INT64

    boolVal

    DT_BOOL

    dcomplexVal

    DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.

    variantVal

    DT_VARIANT

    uint32Val

    DT_UINT32

    uint64Val

    DT_UINT64

    mapVal

    Hydroserving

    Annotations

    @SerialVersionUID()

15.  trait TensorProtoLens[T <: TypedTensor[_]] extends AnyRef
16.  trait TypedTensor[DTypeT] extends AnyRef
17.  trait TypedTensorFactory[TensorT <: TypedTensor[_]] extends AnyRef
18.  case class Uint16Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_UINT16.type] with Product with Serializable
19.  case class Uint32Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_UINT32.type] with Product with Serializable
20.  case class Uint64Tensor(shape: TensorShape, data: Seq[Long]) extends TypedTensor[DT_UINT64.type] with Product with Serializable
21.  case class Uint8Tensor(shape: TensorShape, data: Seq[Int]) extends IntTensor[DT_UINT8.type] with Product with Serializable
22.  final case class VariantTensorDataProto(typeName: String = "", metadata: ByteString = ..., tensors: Seq[TensorProto] = _root_.scala.collection.Seq.empty) extends GeneratedMessage with Message[VariantTensorDataProto] with Updatable[VariantTensorDataProto] with Product with Serializable

    Protocol buffer representing the serialization format of DT_VARIANT tensors.

    Protocol buffer representing the serialization format of DT_VARIANT tensors.

    typeName

    Name of the type of objects being serialized.

    metadata

    Portions of the object that are not Tensors.

    tensors

    Tensors contained within objects being serialized.

    Annotations

    @SerialVersionUID()