Compute Backends and Automatic Differentiation #581
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This was referenced Dec 9, 2022
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Hi, just wanted to see if there is any update on this? Thanks |
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In a Nutshell
This PR introduces compute backends and automatic differentiation in ProbNum.
Detailed Description
TODO
test_normal.pytopytest-casesSymmetricMatrixNormalin linear solverlinalg.choleskyand related functions complying with array api standardlinalgfunctions from the array api standard in backenddtypeanddeviceofArraysrng_state_from_sampling_argsNormalCholeskyNormal.covnot invertible (only when sampling)seed->rng_statearrayin favor ofasarrayas_arrayetc. ->asarrayScalar{Type, Like},Array{Type, Like},Shape{Type, Like},Seed{Type, Like}) tobackend?Related Issues
None