Reductions
As an intro to masked reductions, please find the document on reduction semantics here.
In general, an operator is a reduction operator if it reduces one or more dimensions of the input tensor to a single value
(e.g. think nanmean
or nansum
)
MaskedTensor currently supports the following reductions:

Returns the sum of all elements in the 

Returns the mean value of all elements in the 

Returns the minimum value of each slice of the 

Returns the maximum value of each slice of the 

Returns the product of all elements in the 
The next ops to be implemented will be in the ones in the MaskedTensor Reduction RFC. If you would like any others implemented, please create a feature request with proposed input/output semantics!