Expand distributed indexing, match numpy indexing scheme #938
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…y slice-indexing. UNTESTED
…sition in the index_proxy
4 tasks
…ays (#937) * Create ci.yaml * Update ci.yaml * Update ci.yaml * Create CITATION.cff * Update CITATION.cff * Update ci.yaml different python and pytorch versions * Update ci.yaml * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Delete pre-commit.yml * Update ci.yaml * Update CITATION.cff * Update tutorial.ipynb delete example with different split axis * Delete logo_heAT.pdf Removal of old logo * ht.nonzero() returns tuple of 1-D arrays instead of n-D arrays * Updated documentation and Unit-tests * replace x.larray with local_x * Code fixes * Fix return type of nonzero function and gout value * Made sure DNDarray meta-data is available to the tuple members * Transpose before if-branching + adjustments to accomodate it * Fixed global shape assignment * Updated changelog Co-authored-by: mtar <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Daniel Coquelin <[email protected]> Co-authored-by: Markus Goetz <[email protected]> Co-authored-by: Claudia Comito <[email protected]>
…pe and new split axis
This was referenced Aug 30, 2022
…oltz-analytics/heat into 914_adv-indexing-outshape-outsplit
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Description
DRAFT
Intro: main points from Numpy array indexing scheme
Heat: indexing massive, memory-distributed arrays
process-local indexing
distributed indexing
Memory footprint
Scaling behaviour
Issue/s resolved: #914 #918
Changes proposed:
Type of change
Memory requirements
Performance
Due Diligence
Does this change modify the behaviour of other functions? If so, which?
yes / no
skip ci