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
def
cardinality(): Int
- returns
exact number of entries in the mapping from dimensions to values.
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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.
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abstract
def
getTypes(): Array[Representable]
- returns
the types of all dimensions and the value as a single array.
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abstract
def
iterator(): TensorIterator
- returns
an iterator over entries in the mapping from dimensions to the value.
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getArity(): Int
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the arity, which is the total number of columns. As columns are dimensions plus a value, arity is by one greater than dimensionality.
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