all#
Returns a truth value if all values in the reduction converts to a boolean “true”
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template<typename InType, int D>
__MATX_INLINE__ auto matx::all(const InType &in, const int (&dims)[D])# Find if all values are != 0
Returns a boolean value indicating whether all values in the set of inputs are non-zero. The same aggregation rules apply for input vs output tensor size and what type of reduction is done.
- 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 all-reduce computed
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template<typename InType>
__MATX_INLINE__ auto matx::all(const InType &in)# Find if all values are != 0
Returns a boolean value indicating whether all values in the set of inputs are non-zero. The same aggregation rules apply for input vs output tensor size and what type of reduction is done.
- Template Parameters:
InType – Input data type
- Parameters:
in – Input data to reduce
- Returns:
Operator with reduced values of all-reduce computed
Examples#
// Reduce a 4D tensor into a 0D tensor where the 0D is "true" if all values in "t4"
// convert to "true", or "false" otherwise
(t0 = all(t4)).run(exec);
// Reduce a 4D tensor into a 2D tensor by collapsing the inner two dimensions. Both
// examples permute the dimensions before the reduction
(t2a = all(permute(t4,{2,3,0,1}))).run(exec);
(t2b = all(t4, {0,1})).run(exec);