[mlir] Optimize const values AffineMap::compose (#141005)
The original implementation will create two intermediate AffineMap in the context, calling this compose function with different values multiple times will occupy a lot of memory. To improve the performance, we can call the AffineExpr::replace directly, so we don't need to store all combinations of values in the context.
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@ -580,15 +580,13 @@ AffineMap AffineMap::compose(AffineMap map) const {
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SmallVector<int64_t, 4> AffineMap::compose(ArrayRef<int64_t> values) const {
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assert(getNumSymbols() == 0 && "Expected symbol-less map");
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SmallVector<AffineExpr, 4> exprs;
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exprs.reserve(values.size());
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MLIRContext *ctx = getContext();
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for (auto v : values)
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exprs.push_back(getAffineConstantExpr(v, ctx));
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auto resMap = compose(AffineMap::get(0, 0, exprs, ctx));
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for (int64_t value : values)
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exprs.push_back(getAffineConstantExpr(value, ctx));
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SmallVector<int64_t, 4> res;
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res.reserve(resMap.getNumResults());
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for (auto e : resMap.getResults())
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res.push_back(cast<AffineConstantExpr>(e).getValue());
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res.reserve(getNumResults());
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for (auto e : getResults())
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res.push_back(cast<AffineConstantExpr>(e.replaceDims(exprs)).getValue());
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return res;
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}
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