* Trigger process replay from pull request title
* idk how this thing works btw
* test if it will work
* try 2
* Revert "idk how this thing works btw"
This reverts commit 580da51b07.
* Revert "try 2"
This reverts commit 7ff1e86d5d.
* test if it works
* meh
* Reapply "idk how this thing works btw"
This reverts commit dd33ad7c14.
* revert
replaced all dtype.np with _to_np_dtype defined in tensor.py.
after this, the only numpy usages are (1) Tensor(np.ndarray), (2) construct .numpy() output, (3) numpy random buffer
* Create UnaryOps.RECIP and BinaryOps.IDIV and changing uses of BinaryOps.DIV
* Delete unused import
* Add cstyle renderer
* Fix formatting text
* Fix test error due to bad implementation of renderer
* Add PTX support
* Add RECIP to LLVMIR
* Remove BinaryOps.DIV from symbolic test
* Change some test and fix C floor division
* Change references to DIV for the RECIP or IDIV
* Add mimic idiv for symbolic test
* Restore floor
* Mimic idiv
* cast to int
* Fix some test and renderer
* Remove DIV for render nodes
* Resolve issue with div
* Add TestRenderer
* Fix test
* fix error
* Fix PAD test
* Fix div implementation
* Remove DIV
* Add upcast to rshift, due to use of MUL and RECIP on DIV
* Fix linter
* Remove complete BinaryOps.DIV
* Fix lint
* Fix some test
* Revert mul modification
* Fix tests
* Fix CLANG for uops
* Revert IDIV function
* Minor fix
* modify pattern matching rule to support nan
* Fix UNSAFE_PADS_OPS to add UnaryOps.RECIP
* Remove const folding for IDIV and fix PTX
* Complete remove IDIV from extra
* Remove test_div from TestFloatUOps due to test on recip
* Fix linearizer
* fix
* Fix test_22
* Fix llvm
* Apply trunc function for llvmlit
* use floor instead of trunc
* Use correct type
* Generate new fuzz db
* Fix rshift, do not cast to float to support idiv
* Return upcast=false to rshift
* Add to unsafepad BinaryOps.IDIV
* Remove RECIP override for CUDA
* add atol / rtol for the test
* Remove cast to int on IDIV
* Regenerate sops
* delete sops.gz
* regenerate
* regenerate
* regenerate
* Reduce margins
* pass atol and rtol as parametersg for _test_metrics
* regenerated dataset
* Regenerate
* Remove duplicated
* Revert changes on extra
* Remove changes extra and NOQA for test
* Remove E501
* Remove and change line
* Remove E501
* Fix atan2
* Revert import and E501
* Remove E501
* Add hrcp to halp ops
* Remove 1 of hrcp
* Remove last DIV and add type check on uops for IDIV
* Fix new tests
* Fix tests and custom function
* Regenerate dataset
* Regenerate dataset
* Revert dataset
* Change generate dataset script
* Remove line
* Change IDIV, type checker validate if x,y and z are int
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
`where(self, 0)` incorrectly upcasted the output. `where(self, False)` is correct but looks unnatural, so added a cast at the end. Pattern matcher can fold the cast into where branches
get rid of some confusing transpose and permute, and the if condition on dim. Saved a kernel for each dim != 0 case in test by removing the dangling transpose at the end
* failed test case for getitem with leading Nones
torch matched numpy so tinygrad is incorrect.
another repro
```
t = np.arange(12).reshape((3, 4))
print(t[None, None, np.array([1, 2])])
t = torch.arange(12).reshape((3, 4))
print(t[None, None, torch.tensor([1, 2])].numpy())
t = Tensor.arange(12).reshape(3, 4)
print(t[None, None, Tensor([1, 2])].numpy())
```
* # noqa
