To codegen deferred runtime asserts, I need to be able to convert sympy expressions back into regular Python expressions that I can put in FX graphs. This PR adds some of the machinery to do this: it adds a new sympy analysis that runs operations on all FX traceable operations that can also be run with plain Python int/float/bool/etc. It's tested by symbolic tracing through the analysis, and then testing that this traced graph gives the same result as running the Python analysis directly.
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/113978
Approved by: https://github.com/aakhundov, https://github.com/lezcano
This PR:
- Adds `floordiv` and `truncdiv` as they were missing
- Maps `div` to its correct definition (it was being mapped to `floordiv`)
- Simplifies the bounds of `floordiv`
- Fixes some issues with the returned types of `floor` `ceil`
- Adds tests for the previous point
Pull Request resolved: https://github.com/pytorch/pytorch/pull/100547
Approved by: https://github.com/ezyang
This utility allows us to conveniently abstract interpret Sympy expressions with respect to some alternative domain. I am particularly interested in using ValueRanges to do range analysis on expressions (not this PR).
Some minor house-keeping:
* ReferenceAnalysis got moved to its own file, sprouted a constant() implementation, and some uses of math.* got converted to sympy.*
* ValueRangeAnalysis now understands mod
* Test file gets moved from `test_value_ranges.py` to `test_sympy_utils.py`
Signed-off-by: Edward Z. Yang <ezyang@meta.com>
Pull Request resolved: https://github.com/pytorch/pytorch/pull/94985
Approved by: https://github.com/eellison
