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Author SHA1 Message Date
Tres Popp d086b8a0ec Correct HLO atan2 lowering in cases of -inf and -0 inputs. 
This is being done by just removing the approximation and lowering to atan2 lib calls later to make the implementation the same as XLA. Note that if the approximation is brought back later, it can be fixed by changing the IR checking `less-than(X, 0)` to `less-than(copysign(X, 1), 0)`

PiperOrigin-RevId: 356253941
 2021-02-08 06:58:04 -08:00
A. Unique TensorFlower 9a1abaa212 Integrate LLVM at llvm/llvm-project@e2d7d3cb0e 
Updates LLVM usage to match
[e2d7d3cb0ead](https://github.com/llvm/llvm-project/commit/e2d7d3cb0ead)

PiperOrigin-RevId: 351915841
 2021-01-14 18:05:33 -08:00
A. Unique TensorFlower bae0815ef0 [MLIR][KernelGen] Legalize `atan` to approximation 
PiperOrigin-RevId: 335417836
 2020-10-05 08:05:52 -07:00
A. Unique TensorFlower 049ca060a1 [MLIR][KernelGen] Legalize `atan2` to approximation 
Legalize `atan2` analogously to XLA.  `atan2` is first reduced to `atan` on the
interval [-1, 1] and subsequently approximated.  This CL also adds e2e tests for
trigonometric approximations.

PiperOrigin-RevId: 334794336
 2020-10-01 05:34:48 -07:00
A. Unique TensorFlower 08e0d09463 [MLIR][KernelGen] Rename `legalize-tanh-to-approximation` to `legalize-trigonometric-to-approximation` 
To add more approximation lowerings in the future, generalize the pass name.

PiperOrigin-RevId: 333340075
 2020-09-23 11:53:45 -07:00