* remove GroupOp.Meta and st_arg
* inline axis_arg
* only allow .buffer on reshapes (or the buffer)
* gate is the other way
* still want can_pad?
* use op_in_backward_slice_with_self
* .buffer is recursive
* lint
* pathlib there
* delete the old rangeify path and all the children stuff
* remove the on_stack stuff and any retries
* don't use the p word
* Revert "remove the on_stack stuff and any retries"
This reverts commit 49a2b328b9.
* rtoposort is fast, can replace rangeify with this
* fast rangeify
* work
* fast rangeify works for mnist
* should work
* progress
* pad fix
* FAST
* tests passing
* don't delete those shape ops
* put in rangeify map
* ending ranges fix
* tests
* mstack/mselect no hacks
* move to indexing.py
* touch up tests + add comments
* disable failing test
* actually make the file readable
* failing
* error
* update test_clone_doesnt_dedup to use base
* new_flat_buffer passes
* fix test_reorder_expand
* remove the view stuff
* remove that test, we don't want this view const behavior
* test_setitem_becomes_subbuffer is good
* remove skipping cast in simplify_valid [pr]
unsupported statements are handled in uop_given_valid already. the test failed because (100%x) somehow got simplified
* better test
* fix bmnist torch with RANGEIFY=1
* alt
* test and comment
* this was always wrong
* simple failing test for rangeify
* simple upat to match the old behavior
* add ordering
* fix some tests
* fix more tests
* shorten comment
* update test
* add rule and test
* add rule and test
* remove check
* use fold_divmod_congruence instead of simplify
* adjust tests
* shorten line
* new algo
* add test
* add function to un-nest the div
* add UOp.factor
* test UOp.factor
* uop_given_valid tries to factor simplex expression
* shorten line
* symbolic_flat is back
* change that back
* fix those new tests
* new rule for ordering
* factor multiple factors
* no symbolic_flat
* symbolic_flat to there
* move that back
* fix imports
* merge correctly
* linter happy
* add rule
* add a test
* cleanup
* revert that for now
* UOp.factor returns self instead of None
* try all_candidates
* remove or_else
* post index symbolic
* add test
* maket this closer to the original
* increase mac hlb_cifar min step time
* add some ordering tests
* cleanup
* increase pytest timeout time
* check dtype
