sum#
Reduces the input by the sum of values across the specified axes.
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template<typename InType, int D>
__MATX_INLINE__ auto matx::sum(const InType &in, const int (&dims)[D])# Compute sum of input along axes
Returns a tensor representing the sum of all items in the reduction
- Template Parameters:
InType – Input data type
D – Num of dimensions to reduce over
- Parameters:
in – Input data to reduce
dims – Array containing dimensions to reduce over
- Returns:
Operator with reduced values of sum-reduce computed
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template<typename InType>
__MATX_INLINE__ auto matx::sum(const InType &in)# Compute sum of input
Returns a tensor representing the sum of all items in the reduction
- Template Parameters:
InType – Input data type
- Parameters:
in – Input data to reduce
- Returns:
Operator with reduced values of sum-reduce computed
Examples#
// Reduce a 4D tensor into a 0D by taking the sum of all elements
(t0 = sum(t4)).run(exec);
// Reduce a 3D tensor into a 2D by taking the sum of the last dimension
(b = sum(a, {2})).run(exec);