only tranpose non leading unit dims

Author: KoolJBlack

mlir/lib/Dialect/Vector/Transforms/VectorDropLeadUnitDim.cpp

@@ -399,13 +399,28 @@ mlir::vector::castAwayContractionLeadingOneDim(vector::ContractionOp contractOp,
           transposeResults.push_back(targetExpr);
         }
       }
+
+      // Check if the transpose effects outer unit dims only. Such transposes do
+      // not materially effect the underlying vector and can be omitted.
+      bool tranposeNonOuterUnitDims = false;
+      for (int64_t i = 0; i < (int64_t)perm.size(); ++i) {
+        if (perm[i] != i && i != (int64_t)perm.size() - 1) {
+          if (operands[it.index()].getType().cast<ShapedType>().getDimSize(i) !=
+              1) {
+            tranposeNonOuterUnitDims = true;
+          }
+        }
+      }
+
       // Do the tranpose now if needed so that we can drop the
       // correct dim using extract later.
       if (tranposeNeeded) {
         map = AffineMap::get(map.getNumDims(), 0, transposeResults,
                              contractOp.getContext());
-        operands[it.index()] = rewriter.create<vector::TransposeOp>(
-            contractOp.getLoc(), operands[it.index()], perm);
+        if (tranposeNonOuterUnitDims) {
+          operands[it.index()] = rewriter.createOrFold<vector::TransposeOp>(
+              contractOp.getLoc(), operands[it.index()], perm);
+        }
       }
     }
     // We have taken care to have the dim to be dropped be

mlir/test/Dialect/Vector/vector-dropleadunitdim-transforms.mlir

@@ -166,6 +166,28 @@ func.func @cast_away_contraction_leading_one_dims_nonleadingunitdim_rank4_acctra
 
 // -----
 
+// CHECK-DAG: #[[$MAP_0:.+]] = affine_map<(d0, d1, d2) -> (d0, d2)>
+// CHECK-DAG: #[[$MAP_1:.+]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
+// CHECK-DAG: #[[$MAP_2:.+]] = affine_map<(d0, d1, d2) -> (d1)>
+
+// CHECK-LABEL:   func.func @cast_away_contraction_leading_one_dims_vec_mat(
+// CHECK-SAME:                                 %[[VAL_0:.*]]: vector<1x1x8xi32>,
+// CHECK-SAME:                                 %[[VAL_1:.*]]: vector<1x8x8xi32>,
+// CHECK-SAME:                                 %[[VAL_2:.*]]: vector<1x8xi32>) -> vector<1x8xi32> {
+// CHECK:           %[[VAL_3:.*]] = vector.extract %[[VAL_0]][0] : vector<1x8xi32> from vector<1x1x8xi32>
+// CHECK:           %[[VAL_4:.*]] = vector.extract %[[VAL_2]][0] : vector<8xi32> from vector<1x8xi32>
+// CHECK:           %[[VAL_5:.*]] = vector.contract {indexing_maps = [#[[$MAP_0]], #[[$MAP_1]], #[[$MAP_2]]], iterator_types = ["parallel", "parallel", "reduction"], kind = #vector.kind<add>} %[[VAL_3]], %[[VAL_1]], %[[VAL_4]] : vector<1x8xi32>, vector<1x8x8xi32> into vector<8xi32>
+// CHECK:           %[[VAL_6:.*]] = vector.broadcast %[[VAL_5]] : vector<8xi32> to vector<1x8xi32>
+// CHECK:           return %[[VAL_6]] : vector<1x8xi32>
+// CHECK:         }
+func.func @cast_away_contraction_leading_one_dims_vec_mat(%lhs: vector<1x1x8xi32>,
+                          %rhs: vector<1x8x8xi32>,
+                          %acc: vector<1x8xi32>) -> vector<1x8xi32> {
+  %result = vector.contract {indexing_maps = [affine_map<(d0, d1, d2, d3) -> (d0, d1, d3)>, affine_map<(d0, d1, d2, d3) -> (d0, d2, d3)>, affine_map<(d0, d1, d2, d3) -> (d1, d2)>], iterator_types = ["parallel", "parallel", "parallel", "reduction"], kind = #vector.kind<add>} %lhs, %rhs, %acc : vector<1x1x8xi32>, vector<1x8x8xi32> into vector<1x8xi32>
+  return %result : vector<1x8xi32>
+}
+
+// -----
 // CHECK-DAG: #[[MAP0:.*]] = affine_map<(d0, d1, d2, d3) -> (d0, d1, d3)>
 // CHECK-DAG: #[[MAP1:.*]] = affine_map<(d0, d1, d2, d3) -> (d0, d3, d2)>
 // CHECK-DAG: #[[MAP2:.*]] = affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)>