[mlir][vector] Distribute all non-permutation or broadcasted masked transfer reads (#73539)

The primary difficulty with distribution of masked transfers is when the
permutation map permutes the vector, in which case the distribution
logic needs to make sure the correct mask elements end up with the
distributed transfer. This is only tricky when the permutation map has a
permutation in it, so we can relax the condition for distribution.

Author: qedawkins

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

@@ -837,7 +837,7 @@ struct WarpOpTransferRead : public OpRewritePattern<WarpExecuteOnLane0Op> {
       // of which lane is responsible for which element is captured strictly
       // by shape information on the warp op, and thus requires materializing
       // the permutation in IR.
-      if (!read.getPermutationMap().isMinorIdentity())
+      if (!mlir::compressUnusedDims(read.getPermutationMap()).isIdentity())
         return failure();
       VectorType maskType =
           getDistributedType(read.getMaskType(), map, warpOp.getWarpSize());

mlir/test/Dialect/Vector/vector-warp-distribute.mlir

@@ -1351,6 +1351,32 @@ func.func @warp_propagate_masked_transfer_read(%laneid: index, %src: memref<4096
 
 // -----
 
+func.func @warp_propagate_nontrivial_map_masked_transfer_read(%laneid: index, %src: memref<4096x4096xf32>, %index: index) -> vector<2xf32> {
+  %f0 = arith.constant 0.000000e+00 : f32
+  %c0 = arith.constant 0 : index
+  %r = vector.warp_execute_on_lane_0(%laneid)[64] -> (vector<2xf32>) {
+    %mask = "mask_def_0"() : () -> (vector<128xi1>)
+    %0 = vector.transfer_read %src[%index, %c0], %f0, %mask {in_bounds = [true], permutation_map = affine_map<(d0, d1) -> (d0)>} : memref<4096x4096xf32>, vector<128xf32>
+    vector.yield %0 : vector<128xf32>
+  }
+  return %r : vector<2xf32>
+}
+
+//   CHECK-PROP-DAG: #[[$MAP0:.+]] = affine_map<()[s0, s1] -> (s0 + s1 * 2)>
+//   CHECK-PROP-DAG: #[[$MAP1:.+]] = affine_map<(d0, d1) -> (d0)>
+// CHECK-PROP-LABEL: func.func @warp_propagate_nontrivial_map_masked_transfer_read
+//  CHECK-PROP-SAME:   %[[ARG0:.+]]: index, {{.*}}, %[[ARG2:.+]]: index
+//       CHECK-PROP:   %[[C0:.*]] = arith.constant 0 : index
+//       CHECK-PROP:   %[[R:.*]] = vector.warp_execute_on_lane_0(%{{.*}})[64] -> (vector<2xi1>) {
+//       CHECK-PROP:     %[[M0:.*]] = "mask_def_0"
+//       CHECK-PROP:     vector.yield %[[M0]] : vector<128xi1>
+//       CHECK-PROP:   }
+//       CHECK-PROP:   %[[DIST_READ_IDX0:.+]] = affine.apply #[[$MAP0]]()[%[[ARG2]], %[[ARG0]]]
+//       CHECK-PROP:   vector.transfer_read {{.*}}[%[[DIST_READ_IDX0]], %[[C0]]], {{.*}}, %[[R]]
+//  CHECK-PROP-SAME:   permutation_map = #[[$MAP1]]} {{.*}} vector<2xf32>
+
+// -----
+
 func.func @warp_propagate_masked_transfer_read_shared_mask(%laneid: index, %src: memref<4096x4096xf32>, %index: index, %index2: index, %mask_ub: index) -> (vector<2xf32>, vector<2xf32>) {
   %f0 = arith.constant 0.000000e+00 : f32
   %c0 = arith.constant 0 : index