class ScalarFloatTensor extends ScalarTensor
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Instance Constructors
- new ScalarFloatTensor(value: Float)
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
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final
def
asInstanceOf[T0]: T0
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def
cardinality(): Int
- returns
exact number of entries in the mapping from dimensions to values.
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- ScalarTensor → TensorData
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def
clone(): AnyRef
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eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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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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- ScalarTensor → TensorData
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def
finalize(): Unit
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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.
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- TensorData
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final
def
getClass(): Class[_]
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def
getShape(): Array[Long]
- returns
the current shape of the data or the supplied shape of the data
- Definition Classes
- ScalarTensor → TensorData
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final
def
getType(): Primitive
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- protected[scalar]
- Definition Classes
- ScalarTensor
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def
getTypes(): Array[Representable]
- returns
the types of all dimensions and the value as a single array.
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- ScalarFloatTensor → TensorData
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def
hashCode(): Int
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def
isEmpty(): Boolean
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- TensorData
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final
def
isInstanceOf[T0]: Boolean
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def
iterator(): TensorIterator
- returns
an iterator over entries in the mapping from dimensions to the value.
- Definition Classes
- ScalarFloatTensor → TensorData
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- @Override()
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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toString(): String
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def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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