Related Issues (20)
- Add a utility to check whether two Fused-einsums are performance-isomorphic. HOT 1
- Avoid `lp.fix_parameters` while timing/empirically verifying the transformation
- Fusion algorithm for composition of batched einsums
- Add .rtd-env-py3.yml
- Add empirical global memory bandwidth measurement
- Add empirical maximum FLOP rate measurement HOT 2
- Add helpers to compare the best result in the database with other tools HOT 1
- Add a CI to do some trivial checks on the database entries
- Remove dependency on OpenTuner. HOT 4
- Add parallel tuning capability HOT 5
- Use vertex coloring while canonicalizing the FusedEinsum HOT 1
- Support matching `max` and `min` reductions
- [docs] clarify that we use the same namespace for argument names and index names
- Pretty print a Batched einsum
- Validate the prescription of the transform space by fuzz testing
- feinsum.query should accept a cl.Device instead of cl.Context
- Check statement dependencies in `f.match_t_unit_to_einsum`
- Database should not store the kernel string rather a filepath that can be located HOT 1
- `f.loopy_utils` should provide a transformation to make i-th einsum operand as substitution
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from feinsum.