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* Supports random number generation for all relevant types. Includes uniform, normal and exponential random numbers. --------- Co-authored-by: David Krasowska <krasowska89@gmail.com>
* Add Diagonal / UniformScaling support for NDArray * NDArray <: AbstractArray now
* support more unary/binary ops --------- Co-authored-by: krasow <krasow@u.northwestern.edu>
* support var, std, argmin, argmax --------- Co-authored-by: David Krasowska <krasowska89@gmail.com>
* Add cholesky and eigen, split out batched linalg
…unching patches (#174)
* Add GPU fft/ifft/fft!/ifft! and batched FFT on NDArray
* Add pairwise tensor contract with mode labels. Wrap cupynumeric's binary contract kernel and the helpers it needs so a later TensorOperations backend can map Index2Tuple onto contract! without einsum strings.
* sort, sort!, searchsorted --------- Co-authored-by: krasow <krasow@u.northwestern.edu> Co-authored-by: David Krasowska <krasowska89@gmail.com>
Match Julia array equality (including mixed dtypes and shape mismatch) without falling back to cupynumeric's length-1 1-d array_equal result.
Codecov Report❌ Patch coverage is
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Features:
LinearAlgebra.DiagonalNDArray <: AbstractArrayargmin,argmax,var,std,mean<<)eigen)@acceleratemacro which does escape analysis and multi-line broadcast fusionsort,sort!,searchsortedfirst,searcsortedlastTODO:
lib/cunumeric_wrapper_jll