[lib/conversion] Create seed only if needed in `convert-torch-convers… #3926
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…ion-to-mlprogram` pass This PR changes `convert-torch-conversion-to-mlprogram` pass implementation by moving seed generation inside `ConvertGetNextSeedOp` pattern. Previously, global seed was being created by this pass, even when its only consumer `torch_c.get_next_seed` op is not present in the IR. This pass is part of Torch->Linalg conversion pipeline. Always creating global seed created an issue for the case when downstream compiler doesn't expect/support `ml_program` dialect in linalg on tensor IR format. However, when starting torch IR has `torch_c.get_next_seed` op, `ml_program` will still be present and will need to be handled by downstream compilers.
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@ramiro050 @stellaraccident can you please take a look? |
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I'm on vacation and will review substantial changes when I'm back. If you can find another reviewer who knows these parts, that is fine too |
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@vivekkhandelwal1 can you please review this? |
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…ion-to-mlprogram` pass
This PR changes
convert-torch-conversion-to-mlprogrampass implementation by moving seed generation insideConvertGetNextSeedOppattern.Previously, global seed was being created by this pass, even when its only consumer
torch_c.get_next_seedop is not present in the IR. This pass is part of Torch->Linalg conversion pipeline. Always creating global seed created an issue for the case when downstream compiler doesn't expect/supportml_programdialect in linalg on tensor IR format. However, when starting torch IR hastorch_c.get_next_seedop,ml_programwill still be present and will need to be handled by downstream compilers.