Optimization Cycle I: Loop merge & transient refine#465
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FlorianDeconinck wants to merge 100 commits into
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Optimization Cycle I: Loop merge & transient refine#465FlorianDeconinck wants to merge 100 commits into
FlorianDeconinck wants to merge 100 commits into
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…lInTasklet` Move re-usable functions into `tree_common_op`
Move pipeline defaults inside the Pipeline itself and have orchestration call default Mockup of passes required for merging to behave
Use symbols in the replacement directory. Update DaCe to a version that doesn't re-initialize the symbols. And fix the test failure in python 3.13.
This has been replaced with `InlineOffgridConditionals` pass
- Local are no longer transient on GPU - RefineTransients is deactivated
This commit brings an optimization config, which will allow to teak optmiization parameters per NDSLRuntime and/or `orchestrate()` call.
- Remove "Config" from nested name - Add `GPU` & apply to orchestration - Some docs - Display configuration for building ranks
…havior of allocation when`fortran_aligned` that does not pad dimensions to be the same length Added a `--pad_non_interface_dimensions` to the unit tests to pass the flag during testing
Let's keep the naming of this consistent with the pass name, i.e. `KernelizeMaps` / `KernelizeMap`.
On GPU, we already used the OptimizationConfig to turn on/off certain pipeline passes. This commit extends that work to the `CPUPipeline` and adds OptimizationConfig flags where missing.
Because we have a "dace/" directory in `ndsl/dsl`, the previous import could be resolved as a local import. If that happened (depending on import order), then the DaCe's `Config` object would not be found there. Resolved by importing `Config` from `dace.config`, which is unambiguous to resolve.
The default merging order for `CartesianMerge` is to follow the loop order of the given backend. This commit adds support for a custom merge oder override.
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Description
Readying for mainline the following Schedule Tree transform:
CartesianMergeInlineVertical2DWriteCartesianRefineTransientsQOL / Tooling:
TreeOptimizationStatisticswill record the before/after count of maps, fors and transients🐞 Regression/ Bugs worked around
Locals are now non-transient in GPU because of bugs showing during tree optimizationCartesianRefineTransientsis not applied on GPU - same as aboveHow has this been tested?
New tests when needed
Checklist