[Mlir-commits] [mlir] Reapply "[mlir][vector] Drop inner unit dims for transfer ops on dynamic shapes." (#80712) (PR #81778)

Diego Caballero llvmlistbot at llvm.org
Wed Feb 14 11:14:40 PST 2024


https://github.com/dcaballe created https://github.com/llvm/llvm-project/pull/81778

This reverts commit b4c7152eb4f7971c111e3e2f60b55892def58d5d.

Downstream regression due to another issue that this PR exposes. We have identified the work-items to fix the new issue here: https://github.com/openxla/iree/issues/16406

>From edb9acb799f80f75b098b00965db39545dc952e0 Mon Sep 17 00:00:00 2001
From: Diego Caballero <diegocaballero at google.com>
Date: Wed, 14 Feb 2024 19:09:46 +0000
Subject: [PATCH] Reapply "[mlir][vector] Drop inner unit dims for transfer ops
 on dynamic shapes." (#80712)

This reverts commit b4c7152eb4f7971c111e3e2f60b55892def58d5d.

Downstream regression due to another issue that this PR exposes.
We have identified the work-items to fix the new issue here: https://github.com/openxla/iree/issues/16406

Co-authored-by: Han-Chung Wang <hanchung at google.com>
---
 .../Vector/Transforms/VectorTransforms.cpp    | 14 ++++++++------
 ...tor-transfer-collapse-inner-most-dims.mlir | 19 +++++++++++++++++++
 2 files changed, 27 insertions(+), 6 deletions(-)

diff --git a/mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp b/mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp
index 53ae138d1e43a0..74dd1dfaca0da8 100644
--- a/mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp
@@ -1237,7 +1237,7 @@ class DropInnerMostUnitDimsTransferRead
       return failure();
 
     auto srcType = dyn_cast<MemRefType>(readOp.getSource().getType());
-    if (!srcType || !srcType.hasStaticShape())
+    if (!srcType)
       return failure();
 
     if (!readOp.getPermutationMap().isMinorIdentity())
@@ -1261,19 +1261,21 @@ class DropInnerMostUnitDimsTransferRead
                         targetType.getElementType());
 
     auto loc = readOp.getLoc();
+    SmallVector<OpFoldResult> sizes =
+        memref::getMixedSizes(rewriter, loc, readOp.getSource());
+    SmallVector<OpFoldResult> offsets(srcType.getRank(),
+                                      rewriter.getIndexAttr(0));
+    SmallVector<OpFoldResult> strides(srcType.getRank(),
+                                      rewriter.getIndexAttr(1));
     MemRefType resultMemrefType =
         getMemRefTypeWithDroppingInnerDims(rewriter, srcType, dimsToDrop);
-    SmallVector<int64_t> offsets(srcType.getRank(), 0);
-    SmallVector<int64_t> strides(srcType.getRank(), 1);
-
     ArrayAttr inBoundsAttr =
         readOp.getInBounds()
             ? rewriter.getArrayAttr(
                   readOp.getInBoundsAttr().getValue().drop_back(dimsToDrop))
             : ArrayAttr();
     Value rankedReducedView = rewriter.create<memref::SubViewOp>(
-        loc, resultMemrefType, readOp.getSource(), offsets, srcType.getShape(),
-        strides);
+        loc, resultMemrefType, readOp.getSource(), offsets, sizes, strides);
     auto permMap = getTransferMinorIdentityMap(
         cast<ShapedType>(rankedReducedView.getType()), resultTargetVecType);
     Value result = rewriter.create<vector::TransferReadOp>(
diff --git a/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir b/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
index 750879df129b14..3984f17f9e8cdb 100644
--- a/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
+++ b/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
@@ -16,6 +16,25 @@ func.func @contiguous_inner_most_view(%in: memref<1x1x8x1xf32, strided<[3072, 8,
 
 // -----
 
+func.func @contiguous_outer_dyn_inner_most_view(%in: memref<?x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x8x1xf32>{
+  %c0 = arith.constant 0 : index
+  %cst = arith.constant 0.0 : f32
+  %0 = vector.transfer_read %in[%c0, %c0, %c0, %c0], %cst {in_bounds = [true, true, true]} : memref<?x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>, vector<1x8x1xf32>
+  return %0 : vector<1x8x1xf32>
+}
+//      CHECK: func @contiguous_outer_dyn_inner_most_view(
+// CHECK-SAME:   %[[SRC:[a-zA-Z0-9]+]]
+//  CHECK-DAG:   %[[C0:.+]] = arith.constant 0 : index
+//  CHECK-DAG:   %[[D0:.+]] = memref.dim %[[SRC]], %[[C0]]
+//      CHECK:   %[[SRC_0:.+]] = memref.subview %[[SRC]][0, 0, 0, 0] [%[[D0]], 1, 8, 1] [1, 1, 1, 1]
+// CHECK-SAME:    memref<?x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>> to memref<?x1x8xf32, strided<[3072, 8, 1], offset: ?>>
+//      CHECK:   %[[VEC:.+]] = vector.transfer_read %[[SRC_0]]
+// CHECK-SAME:    memref<?x1x8xf32, strided<[3072, 8, 1], offset: ?>>, vector<1x8xf32>
+//      CHECK:   %[[RESULT:.+]] = vector.shape_cast %[[VEC]]
+//      CHECK:   return %[[RESULT]]
+
+// -----
+
 func.func @contiguous_inner_most_dim(%A: memref<16x1xf32>, %i:index, %j:index) -> (vector<8x1xf32>) {
   %c0 = arith.constant 0 : index
   %f0 = arith.constant 0.0 : f32



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