Net

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

5. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

9. def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

11. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

12. def hashCode(): Int

    Definition Classes

    AnyRef → Any

13. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

14. def load[T](path: String, weightPath: String = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): KerasNet[T]

    Load model from path.

    Load model from path.

    T

    numeric type

    path

    path to save module, local file system, HDFS and Amazon S3 is supported. HDFS path should be like "hdfs://[host]:[port]/xxx" Amazon S3 path should be like "s3a://bucket/xxx"

    weightPath

    : where weight is stored

    returns

    An Analytics Zoo model.

15. def loadBigDL[T](path: String, weightPath: String = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): GraphNet[T]

    Load BigDL model from path.

    Load BigDL model from path.

    T

    numeric type

    path

    path to save module, local file system, HDFS and Amazon S3 is supported. HDFS path should be like "hdfs://[host]:[port]/xxx" Amazon S3 path should be like "s3a://bucket/xxx"

    weightPath

    : where weight is stored

    returns

    model loaded from path

16. def loadCaffe[T](defPath: String, modelPath: String)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): GraphNet[T]

    Loaf caffe trained model from prototxt and weight files

    Loaf caffe trained model from prototxt and weight files

    defPath

    caffe model definition file path

    modelPath

    caffe model binary file containing weight and bias

17. def loadTF[T](folder: String)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): GraphNet[T]

    Load TensorFlow model from exported folder.

    Load TensorFlow model from exported folder.

    folder

    The folder path which contains 'frozen_inference_graph.pb' and 'graph_meta.json'.

    returns

    model loaded from path

18. def loadTF[T](graphFile: String, inputs: Seq[String], outputs: Seq[String], byteOrder: ByteOrder = ByteOrder.LITTLE_ENDIAN, binFile: Option[String] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): GraphNet[T]

    Load tensorflow model from its saved protobuf file.

    Load tensorflow model from its saved protobuf file.

    graphFile

    where is the protobuf model file

    inputs

    input node names

    outputs

    output node names, the output tensor order is same with the node order

    byteOrder

    byte order in the tensorflow file. The default value is little endian

    binFile

    where is the model variable file

    returns

    model loaded from path

19. def loadTFCheckpoints[T](graphFile: String, binFile: String, byteOrder: ByteOrder = ByteOrder.LITTLE_ENDIAN)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Session[T]

    Load tensorflow checkpoints

    Load tensorflow checkpoints

    T

    graphFile

    binFile

    returns

20. def loadTorch[T](path: String)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): GraphNet[T]

    Load Torch model from path.

    Load Torch model from path.

    T

    numeric type

    path

    path to load module, local file system, HDFS and Amazon S3 is supported. HDFS path should be like "hdfs://[host]:[port]/xxx" Amazon S3 path should be like "s3a://bucket/xxx"

    returns

    model loaded from path

21. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

22. final def notify(): Unit

    Definition Classes

    AnyRef

23. final def notifyAll(): Unit

    Definition Classes

    AnyRef

24. def setInitMethod(module: AbstractModule[_, _, _], weightInitMethod: InitializationMethod = null, biasInitMethod: InitializationMethod = null, throwException: Boolean = true): Unit

25. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

26. def toString(): String

    Definition Classes

    AnyRef → Any

27. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

28. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

29. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )