[Mlir-commits] [mlir] [MLIR][Presburger][WIP] Implement vertex enumeration and chamber decomposition for polytope generating function computation. (PR #78987)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Wed Jan 24 21:23:51 PST 2024
================
@@ -147,6 +149,323 @@ GeneratingFunction mlir::presburger::detail::unimodularConeGeneratingFunction(
std::vector({denominator}));
}
+/// We use Gaussian elimination to find the solution to a set of d equations
+/// of the form
+/// a_1 x_1 + ... + a_d x_d + b_1 m_1 + ... + b_p m_p + c = 0
+/// where x_i are variables,
+/// m_i are parameters and
+/// a_i, b_i, c are rational coefficients.
+/// The solution expresses each x_i as an affine function of the m_i, and is
+/// therefore represented as a matrix of size d x (p+1).
+/// If there is no solution, we return null.
+std::optional<ParamPoint>
+mlir::presburger::detail::solveParametricEquations(FracMatrix equations) {
+ // equations is a d x (d + p + 1) matrix.
+ // Each row represents an equation.
+ unsigned d = equations.getNumRows();
+ unsigned numCols = equations.getNumColumns();
+
+ // If the determinant is zero, there is no unique solution.
+ // Thus we return null.
+ if (FracMatrix(equations.getSubMatrix(/*fromRow=*/0, /*toRow=*/d - 1,
+ /*fromColumn=*/0,
+ /*toColumn=*/d - 1))
+ .determinant() == 0)
+ return std::nullopt;
+
+ // Perform row operations to make each column all zeros except for the
+ // diagonal element, which is made to be one.
+ for (unsigned i = 0; i < d; ++i) {
+ // First ensure that the diagonal element is nonzero, by swapping
+ // it with a row that is non-zero at column i.
+ if (equations(i, i) != 0)
+ continue;
+ for (unsigned j = i + 1; j < d; ++j) {
+ if (equations(j, i) == 0)
+ continue;
+ equations.swapRows(j, i);
+ break;
+ }
+
+ Fraction diagElement = equations(i, i);
+
+ // Apply row operations to make all elements except the diagonal to zero.
+ for (unsigned j = 0; j < d; ++j) {
+ if (i == j)
+ continue;
+ if (equations(j, i) == 0)
+ continue;
+ // Apply row operations to make element (j, i) zero by subtracting the
+ // ith row, appropriately scaled.
+ Fraction currentElement = equations(j, i);
+ equations.addToRow(/*sourceRow=*/i, /*targetRow=*/j,
+ /*scale=*/-currentElement / diagElement);
+ }
+ }
+
+ // Rescale diagonal elements to 1.
+ for (unsigned i = 0; i < d; ++i) {
+ Fraction diagElement = equations(i, i);
+ for (unsigned j = 0; j < numCols; ++j)
+ equations(i, j) = equations(i, j) / diagElement;
+ }
+
+ // Now we have reduced the equations to the form
+ // x_i + b_1' m_1 + ... + b_p' m_p + c' = 0
+ // i.e. each variable appears exactly once in the system, and has coefficient
+ // one.
+ // Thus we have
+ // x_i = - b_1' m_1 - ... - b_p' m_p - c
+ // and so we return the negation of the last p + 1 columns of the matrix.
+ // We copy these columns and return them.
+ ParamPoint vertex =
+ equations.getSubMatrix(/*fromRow=*/0, /*toRow=*/d - 1,
+ /*fromColumn=*/d, /*toColumn=*/numCols - 1);
+ for (unsigned i = 0; i < d; ++i)
+ vertex.negateRow(i);
+
+ return vertex;
+}
+
+/// This is an implementation of the Clauss-Loechner algorithm for chamber
+/// decomposition.
+/// We maintain a list of pairwise disjoint chambers and their vertex-sets;
+/// we iterate over the vertex list, each time appending the vertex to the
+/// chambers where it is active and creating a new chamber if necessary.
+///
+/// Given the region each vertex is active in, for each subset of vertices,
+/// the region that precisely this subset is in, is the intersection of the
+/// regions that these are active in, intersected with the complements of the
+/// remaining regions.
+std::vector<std::pair<PresburgerRelation, std::vector<unsigned>>>
+mlir::presburger::detail::computeChamberDecomposition(
----------------
Abhinav271828 wrote:
I did make a pass over it, is something still inconsistent?
https://github.com/llvm/llvm-project/pull/78987
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