[AUTO_SCHEDULER] Add feature extraction directly from PrimFunc#10455
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cc @comaniac |
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@tkonolige can you kick another job now that eric PR has landed. |
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March 8, 2022 16:21
Allow users to directly extract features from a PrimFunc. Extracted features can be used to get an estimate of flops, memory load size, or arithmetic intensity from a PrimFunc. Also fix feature extraction to correctly measure the number of arithmetic operations width vector datatypes.
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| void VisitStmt_(const StoreNode* node) final { | ||
| MathOpCounter math_op_counter; |
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Do we hit this function now? Note that Load / Store node are deprecated after eric PR cc @Lunderberg
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No, we don't hit this. I've removed it.
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| + T.load("float32x128", A.data, T.ramp(k, 128, 128), T.broadcast(True, 128)) | ||
| * T.broadcast(T.load("float32", B.data, y * 128 + k), 128), | ||
| T.broadcast(True, 128), | ||
| ) |
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cc @Lunderberg @vinx13 @junrushao1994 on recommendation on using T.load / store in new tests.
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I rewrote this to use buffer store.
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Otherwise LGTM.
Also cc @merrymercy @junrushao1994 to check the changes in feature extractions.
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…e#10455) * [AUTO_SCHEDULER] Add feature extraction directly from PrimFunc Allow users to directly extract features from a PrimFunc. Extracted features can be used to get an estimate of flops, memory load size, or arithmetic intensity from a PrimFunc. Also fix feature extraction to correctly measure the number of arithmetic operations width vector datatypes. * fix param name * log scale in cc instead of python * rename functions, remove load/store * forgot rename in tests * forgot to commit rename
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Allow users to directly extract features from a PrimFunc. Extracted features can be used to get an estimate of flops, memory load size, or arithmetic intensity of a PrimFunc. I've improved support to handle PrimFuncs created from a full lowering pass in addition to the limited lowering that auto_scheduler uses.
Also fix feature extraction to correctly measure the number of arithmetic operations width vector datatypes.
This change will not change features used by auto_scheduler's cost models.
@junrushao1994 @merrymercy @masahi