Symbol

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

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

   

   Definition Classes

   AnyRef → Any

4. def Group(symbols: Symbol*): Symbol

   

   Create a symbol that groups symbols together.

   Create a symbol that groups symbols together.

   symbols

   List of symbols to be grouped.

   returns

   The created group symbol.

5. def Variable(name: String, attr: Map[String, String] = null, shape: Shape = null, lrMult: Option[Float] = None, wdMult: Option[Float] = None, dType: DType.DType = null, kwargs: Map[String, String] = Map.empty[String, String]): Symbol

   

   Create a symbolic variable with specified name.

   Create a symbolic variable with specified name.

   name

   Name of the variable.

   attr

   Additional attributes to set on the variable.

   shape

   The shape of a variable. If specified, this will be used during the shape inference. If one has specified a different shape for this variable using a keyword argument when calling shape inference, this shape information will be ignored.

   lrMult

   The learning rate multiplier for input variable.

   wdMult

   Weight decay multiplier for input variable.

   dType

   The dtype for input variable. If not specified, this value will be inferred.

   kwargs

   Additional attributes which must start and end with double underscores.

   returns

   A symbol corresponding to an input to the computation graph.

6. def arange(start: Float, stop: Option[Float] = None, step: Float = 1.0f, repeat: Int = 1, name: String = null, dType: DType.DType = Base.MX_REAL_TYPE): Symbol

   

   Returns evenly spaced values within a given interval.

   Returns evenly spaced values within a given interval.

   start

   Start of interval. The default start value is 0.

   stop

   End of interval.

   step

   Spacing between values. The default step size is 1.

   repeat

   Number of times to repeat each element. The default repeat count is 1.

   dType

   The data type of the NDArray. The default datatype is DType.Float32.

   returns

   Symbol The created Symbol.

7. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

8. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. def createFromListedSymbols(operator: String, name: String = null, attr: Map[String, String] = null)(symbols: Array[Symbol], paramKwargs: Map[String, String] = null): Symbol

   

   Activation Operator of Neural Net.

   Activation Operator of Neural Net. The parameters listed below can be passed in as keyword arguments.

   attr

   Attributes set to the resulting symbol

   symbols

   Symbol parameters passed to create the resulting symbol

   paramKwargs

   Key-value parameters passed to create the resulting symbol

   returns

   the resulting symbol

10. def createFromListedSymbolsNoCheck(operator: String, name: String = null, attr: Map[String, String] = null)(symbols: Array[Symbol], kwargs: Map[String, Any] = null): Symbol

    

    Annotations

    @Deprecated

11. def createFromNamedSymbols(operator: String, name: String = null, attr: Map[String, String] = null)(symbols: Map[String, Symbol], paramKwargs: Map[String, String] = null): Symbol

    

    Activation Operator of Neural Net.

    Activation Operator of Neural Net. The parameters listed below can be passed in as keyword arguments.

    attr

    Attributes set to the resulting symbol

    symbols

    Named symbol parameters passed to create the resulting symbol

    paramKwargs

    Key-value parameters passed to create the resulting symbol

    returns

    the resulting symbol

12. def createFromNamedSymbolsNoCheck(operator: String, name: String = null, attr: Map[String, String] = null)(kwargs: Map[String, Any]): Symbol

    

    Annotations

    @Deprecated

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

    

    Definition Classes

    AnyRef

14. def equal[V](left: V, right: Symbol): Symbol

    

15. def equal[V](left: Symbol, right: V): Symbol

    

16. def equal(left: Symbol, right: Symbol): Symbol

    

17. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

18. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

20. def greater[V](left: Symbol, right: V): Symbol

    

21. def greater(left: Symbol, right: Symbol): Symbol

    

22. def greaterEqual[V](left: Symbol, right: V): Symbol

    

23. def greaterEqual(left: Symbol, right: Symbol): Symbol

    

24. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

25. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

26. def lesser[V](left: Symbol, right: V): Symbol

    

27. def lesser(left: Symbol, right: Symbol): Symbol

    

28. def lesserEqual[V](left: Symbol, right: V): Symbol

    

29. def lesserEqual(left: Symbol, right: Symbol): Symbol

    

30. def load(fname: String): Symbol

    

    Load symbol from a JSON file.

    Load symbol from a JSON file.

    You can also use pickle to do the job if you only work on python. The advantage of load/save is the file is language agnostic. This means the file saved using save can be loaded by other language binding of mxnet. You also get the benefit being able to directly load/save from cloud storage(S3, HDFS)

    fname

    The name of the file, examples:

    • s3://my-bucket/path/my-s3-symbol
    • hdfs://my-bucket/path/my-hdfs-symbol
    • /path-to/my-local-symbol

    returns

    The loaded symbol.

    See also

    Symbol.save : Used to save symbol into file.

31. def loadJson(json: String): Symbol

    

    Load symbol from json string.

    Load symbol from json string.

    json

    A json string.

    returns

    The loaded symbol.

    See also

    Symbol.tojson : Used to save symbol into json string.

32. def max[V](left: V, right: Symbol): Symbol

    

33. def max[V](left: Symbol, right: V): Symbol

    

34. def max(left: Symbol, right: Symbol): Symbol

    

35. def min[V](left: V, right: Symbol): Symbol

    

36. def min[V](left: Symbol, right: V): Symbol

    

37. def min(left: Symbol, right: Symbol): Symbol

    

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

    

    Definition Classes

    AnyRef

39. def notEqual[V](left: V, right: Symbol): Symbol

    

40. def notEqual[V](left: Symbol, right: V): Symbol

    

41. def notEqual(left: Symbol, right: Symbol): Symbol

    

42. final def notify(): Unit

    

    Definition Classes

    AnyRef

43. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

44. def ones(shape: Shape, dType: DType.DType = Base.MX_REAL_TYPE, ctx: Context = null): Symbol

    

    Returns a new symbol of given shape and type, filled with ones.

45. def pow[V](number: V, sym: Symbol): Symbol

    

46. def pow[V](sym: Symbol, number: V): Symbol

    

47. def pow(sym1: Symbol, sym2: Symbol): Symbol

    

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

    

    Definition Classes

    AnyRef

49. def toString(): String

    

    Definition Classes

    AnyRef → Any

50. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

53. def zeros(shape: Shape, dType: DType.DType = Base.MX_REAL_TYPE, ctx: Context = null): Symbol

    

    Returns a new symbol of given shape and type, filled with zeros.