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trait TensorData extends AnyRef

A typed container of structured data. Maps a (potentially empty) tuple of dimensions to a scalar value. For efficiency, a single object represents the entire data structure. Sequential access is provided via TensorIterator.

The typical use of TensorData is:

TensorData td = ...;
TensorIterator ti = td.iterator();
ti.start();
while (ti.isValid()) {
 ti.getInt(0);
 ti.getFloat(1);
 ti.getInt(2);
// and others getXXX(),
// the getXXX(dimensionality) corresponding to the value
 ti.next();
}

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Abstract Value Members

  1. abstract def cardinality(): Int

    returns

    exact number of entries in the mapping from dimensions to values.

  2. abstract def estimatedCardinality(): Int

    returns

    conservative estimate of number of entries in the mapping from dimensions to values. Can be cheaper to evaluate than the exact one.

  3. abstract def getTypes(): Array[Representable]

    returns

    the types of all dimensions and the value as a single array.

  4. abstract def iterator(): TensorIterator

    returns

    an iterator over entries in the mapping from dimensions to the value.

Concrete Value Members

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

    returns

    the arity, which is the total number of columns. As columns are dimensions plus a value, arity is by one greater than dimensionality.

  10. final def getClass(): Class[_]
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  11. def getShape(): Array[Long]

    returns

    the current shape of the data or the supplied shape of the data

  12. def hashCode(): Int
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  13. def isEmpty(): Boolean
  14. final def isInstanceOf[T0]: Boolean
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