Feature/337 determinant

[mtar]

Description

First implementation of determinant computation using Gaussian elimination with partial pivoting.

Issue/s resolved: #337

Changes proposed:

• add linalg.det

Type of change

• New feature

Due Diligence

• All split configurations tested
• Multiple dtypes tested in relevant functions
• Documentation updated (if needed)
• Updated changelog.md under the title "Pending Additions"

Does this change modify the behaviour of other functions? If so, which?

no

[codecov]

Codecov Report

Merging #877 (593ad7f) into master (293d873) will increase coverage by 0.02%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master     #877      +/-   ##
==========================================
+ Coverage   95.50%   95.52%   +0.02%     
==========================================
  Files          64       64              
  Lines        9579     9617      +38     
==========================================
+ Hits         9148     9187      +39     
+ Misses        431      430       -1     

Flag	Coverage Δ
gpu	94.66% <100.00%> (+0.03%)	⬆️
unit	91.10% <100.00%> (+0.04%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
heat/core/dndarray.py	97.00% <ø> (ø)
heat/core/linalg/basics.py	95.26% <100.00%> (+0.21%)	⬆️
heat/core/types.py	96.84% <0.00%> (+0.35%)	⬆️

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[coquelin77]

looks great to me. Just a small change

[coquelin77]

@mtar i have changed the shape rules to line up with torch's results. can you check this again?

[mtar]

@coquelin77 Thanks for addressing the wrong dimension of the result tensor.

I was now able to reduce some lines of code due to a fix in master.