Preserve linear_transform in Lattigo backend - #3315
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Rebased over #3313. The new changes are the secret-to-ckks and scheme-to-backend conversion passes, as well as the e2e tests and enabling it in the lattigo config. Interestingly: openfhe's linear_transform op is not part of their public API (and it only supports dense mode anyway, so it's less useful) so that backend is not enabled. |
mdgrs
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I mostly live in the CKKS world, but this has broken a BGV test:
tests/Examples/common/cmux.mlir:1:1
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| // logBabyStepGiantStepRatio | ||
| // For now default to 0. | ||
| int64_t logBSGSRatio = 0; |
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That is an input to the lattigo linear-transform op.
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This change: - Implements the LWE-to-Lattigo lowering pattern for kernel.linear_transform to lattigo.ckks.linear_transform. - Enables has_kernel_linear_transform = 1 in Lattigo target config. - Fixes the Lattigo emitter to dynamically convert float32 diagonals to float64 in Go. - Resolves LevelQ and Scale matching issues in the emitter using dynamic ciphertext level instead of compile-time constants. - Aligns encoding slots with actual slot counts for CKKS bootstrapping. After this change, the e2e lattigo tests using linalg.matvec lower to use the linear_transform op. Still TODO is lowering a conv operator to an intermediate matvec op so it can be preserved as a linear_transform op, which is a bit of a larger change because it requires extracting the lowering for conv ops to occur before layout-propagation, and hard-coding the layout choice. PiperOrigin-RevId: 960437546
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| return rewriter.notifyMatchFailure(op, | ||
| "input LWE type has no modulus chain"); | ||
| } | ||
| int64_t levelQ = |
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Should this be modulusChain.getCurrent()? the LattigoCKKSOps.td documentation says that what needs to be passed to the CKKSLinearTransformOp is the level at which the operation should be performed
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Preserve linear_transform in Lattigo backend
This change:
After this change, the e2e lattigo tests using linalg.matvec lower to use the linear_transform op.
Still TODO is lowering a conv operator to an intermediate matvec op so it can be preserved as a linear_transform op, which is a bit of a larger change because it requires extracting the lowering for conv ops to occur before layout-propagation, and hard-coding the layout choice.