Revert "[mlir][Vector] Extend xfer drop unit dim patterns"

This reverts commit a53cd03deac5e6272e9dae88a90cd51410d312d5.

This commit is exposing some implementation gaps in other patterns.
Reverting for now.

diff --git a/mlir/lib/Dialect/Vector/Transforms/VectorTransferOpTransforms.cpp b/mlir/lib/Dialect/Vector/Transforms/VectorTransferOpTransforms.cpp
index 0e9dcf2..af0fcd0 100644 (file)
--- a/mlir/lib/Dialect/Vector/Transforms/VectorTransferOpTransforms.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/VectorTransferOpTransforms.cpp
@@ -63,7 +63,6 @@ private:
   std::vector<Operation *> opToErase;
 };
 
-} // namespace
 /// Return true if there is a path from start operation to dest operation,
 /// otherwise return false. The operations have to be in the same region.
 bool TransferOptimization::isReachable(Operation *start, Operation *dest) {
@@ -289,25 +288,14 @@ static int getReducedRank(ArrayRef<int64_t> shape) {
   return llvm::count_if(shape, [](int64_t dimSize) { return dimSize != 1; });
 }
 
-/// Returns a copy of `shape` without unit dims.
-static SmallVector<int64_t> getReducedShape(ArrayRef<int64_t> shape) {
-  SmallVector<int64_t> reducedShape;
-  llvm::copy_if(shape, std::back_inserter(reducedShape),
-                [](int64_t dimSize) { return dimSize != 1; });
-  return reducedShape;
-}
-
 /// Returns true if all values are `arith.constant 0 : index`
 static bool isZero(Value v) {
   auto cst = v.getDefiningOp<arith::ConstantIndexOp>();
   return cst && cst.value() == 0;
 }
 
-namespace {
-
-/// Rewrites `vector.transfer_read` ops where the source has unit dims, by
-/// inserting a memref.subview dropping those unit dims. The vector shapes are
-/// also reduced accordingly.
+/// Rewrites vector.transfer_read ops where the source has unit dims, by
+/// inserting a memref.subview dropping those unit dims.
 class TransferReadDropUnitDimsPattern
     : public OpRewritePattern<vector::TransferReadOp> {
   using OpRewritePattern::OpRewritePattern;
@@ -329,15 +317,12 @@ class TransferReadDropUnitDimsPattern
       return failure();
     if (!transferReadOp.getPermutationMap().isMinorIdentity())
       return failure();
-    // Check if the source shape can be further reduced.
     int reducedRank = getReducedRank(sourceType.getShape());
     if (reducedRank == sourceType.getRank())
-      return failure();
-    // Check if the reduced vector shape matches the reduced source shape.
-    // Otherwise, this case is not supported yet.
-    int vectorReducedRank = getReducedRank(vectorType.getShape());
-    if (reducedRank != vectorReducedRank)
-      return failure();
+      return failure(); // The source shape can't be further reduced.
+    if (reducedRank != vectorType.getRank())
+      return failure(); // This pattern requires the vector shape to match the
+                        // reduced source shape.
     if (llvm::any_of(transferReadOp.getIndices(),
                      [](Value v) { return !isZero(v); }))
       return failure();
@@ -346,22 +331,14 @@ class TransferReadDropUnitDimsPattern
     Value c0 = rewriter.create<arith::ConstantIndexOp>(loc, 0);
     SmallVector<Value> zeros(reducedRank, c0);
     auto identityMap = rewriter.getMultiDimIdentityMap(reducedRank);
-    auto reducedVectorType = VectorType::get(
-        getReducedShape(vectorType.getShape()), vectorType.getElementType());
-
-    auto newTransferReadOp = rewriter.create<vector::TransferReadOp>(
-        loc, reducedVectorType, reducedShapeSource, zeros, identityMap);
-    auto shapeCast = rewriter.createOrFold<vector::ShapeCastOp>(
-        loc, vectorType, newTransferReadOp);
-    rewriter.replaceOp(transferReadOp, shapeCast);
-
+    rewriter.replaceOpWithNewOp<vector::TransferReadOp>(
+        transferReadOp, vectorType, reducedShapeSource, zeros, identityMap);
     return success();
   }
 };
 
-/// Rewrites `vector.transfer_write` ops where the "source" (i.e. destination)
-/// has unit dims, by inserting a `memref.subview` dropping those unit dims. The
-/// vector shapes are also reduced accordingly.
+/// Rewrites vector.transfer_write ops where the "source" (i.e. destination) has
+/// unit dims, by inserting a memref.subview dropping those unit dims.
 class TransferWriteDropUnitDimsPattern
     : public OpRewritePattern<vector::TransferWriteOp> {
   using OpRewritePattern::OpRewritePattern;
@@ -383,15 +360,12 @@ class TransferWriteDropUnitDimsPattern
       return failure();
     if (!transferWriteOp.getPermutationMap().isMinorIdentity())
       return failure();
-    // Check if the destination shape can be further reduced.
     int reducedRank = getReducedRank(sourceType.getShape());
     if (reducedRank == sourceType.getRank())
-      return failure();
-    // Check if the reduced vector shape matches the reduced destination shape.
-    // Otherwise, this case is not supported yet.
-    int vectorReducedRank = getReducedRank(vectorType.getShape());
-    if (reducedRank != vectorReducedRank)
-      return failure();
+      return failure(); // The source shape can't be further reduced.
+    if (reducedRank != vectorType.getRank())
+      return failure(); // This pattern requires the vector shape to match the
+                        // reduced source shape.
     if (llvm::any_of(transferWriteOp.getIndices(),
                      [](Value v) { return !isZero(v); }))
       return failure();
@@ -400,20 +374,12 @@ class TransferWriteDropUnitDimsPattern
     Value c0 = rewriter.create<arith::ConstantIndexOp>(loc, 0);
     SmallVector<Value> zeros(reducedRank, c0);
     auto identityMap = rewriter.getMultiDimIdentityMap(reducedRank);
-    VectorType reducedVectorType = VectorType::get(
-        getReducedShape(vectorType.getShape()), vectorType.getElementType());
-
-    auto shapeCast = rewriter.createOrFold<vector::ShapeCastOp>(
-        loc, reducedVectorType, vector);
     rewriter.replaceOpWithNewOp<vector::TransferWriteOp>(
-        transferWriteOp, shapeCast, reducedShapeSource, zeros, identityMap);
-
+        transferWriteOp, vector, reducedShapeSource, zeros, identityMap);
     return success();
   }
 };
 
-} // namespace
-
 /// Return true if the memref type has its inner dimension matching the given
 /// shape. Otherwise return false.
 static int64_t hasMatchingInnerContigousShape(MemRefType memrefType,
@@ -473,8 +439,6 @@ checkAndCollapseInnerZeroIndices(ValueRange indices, int64_t firstDimToCollapse,
   return success();
 }
 
-namespace {
-
 /// Rewrites contiguous row-major vector.transfer_read ops by inserting
 /// memref.collapse_shape on the source so that the resulting
 /// vector.transfer_read has a 1D source. Requires the source shape to be
@@ -768,7 +732,6 @@ class RewriteScalarWrite : public OpRewritePattern<vector::TransferWriteOp> {
     return success();
   }
 };
-
 } // namespace
 
 void mlir::vector::transferOpflowOpt(RewriterBase &rewriter,

diff --git a/mlir/test/Dialect/Vector/vector-transfer-drop-unit-dims-patterns.mlir b/mlir/test/Dialect/Vector/vector-transfer-drop-unit-dims-patterns.mlir
index 3efa069..e4e2e3b 100644 (file)
--- a/mlir/test/Dialect/Vector/vector-transfer-drop-unit-dims-patterns.mlir
+++ b/mlir/test/Dialect/Vector/vector-transfer-drop-unit-dims-patterns.mlir
@@ -15,14 +15,6 @@ func.func @transfer_read_rank_reducing(
 //  CHECK-SAME:     memref<1x1x3x2xi8, {{.*}}> to memref<3x2xi8, {{.*}}>
 //       CHECK:   vector.transfer_read %[[SUBVIEW]]
 
-transform.sequence failures(propagate) {
-^bb1(%module_op: !pdl.operation):
-  transform.vector.apply_rank_reducing_subview_patterns %module_op
-      : (!pdl.operation) -> !pdl.operation
-}
-
-// -----
-
 func.func @transfer_write_rank_reducing(%arg : memref<1x1x3x2xi8, strided<[6, 6, 2, 1], offset: ?>>, %vec : vector<3x2xi8>) {
     %c0 = arith.constant 0 : index
     vector.transfer_write %vec, %arg [%c0, %c0, %c0, %c0] :
@@ -36,97 +28,6 @@ func.func @transfer_write_rank_reducing(%arg : memref<1x1x3x2xi8, strided<[6, 6,
 //  CHECK-SAME:     memref<1x1x3x2xi8, {{.*}}> to memref<3x2xi8, {{.*}}>
 //       CHECK:   vector.transfer_write %{{.*}}, %[[SUBVIEW]]
 
-transform.sequence failures(propagate) {
-^bb1(%module_op: !pdl.operation):
-  transform.vector.apply_rank_reducing_subview_patterns %module_op
-      : (!pdl.operation) -> !pdl.operation
-}
-
-// -----
-
-func.func @transfer_read_and_vector_rank_reducing(
-      %arg : memref<1x1x3x2x1xf32>) -> vector<3x2x1xf32> {
-    %c0 = arith.constant 0 : index
-    %cst = arith.constant 0.0 : f32
-    %v = vector.transfer_read %arg[%c0, %c0, %c0, %c0, %c0], %cst :
-      memref<1x1x3x2x1xf32>, vector<3x2x1xf32>
-    return %v : vector<3x2x1xf32>
-}
-
-// CHECK-LABEL: func @transfer_read_and_vector_rank_reducing
-//  CHECK-SAME:     %[[ARG:.+]]: memref<1x1x3x2x1xf32>
-//       CHECK:   %[[SUBVIEW:.+]] = memref.subview %[[ARG]][0, 0, 0, 0, 0] [1, 1, 3, 2, 1] [1, 1, 1, 1, 1]
-//  CHECK-SAME:     memref<1x1x3x2x1xf32> to memref<3x2xf32>
-//       CHECK:   vector.transfer_read %[[SUBVIEW]]{{.*}} {in_bounds = [true, true]} : memref<3x2xf32>, vector<3x2xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%module_op: !pdl.operation):
-  transform.vector.apply_rank_reducing_subview_patterns %module_op
-      : (!pdl.operation) -> !pdl.operation
-}
-
-// -----
-
-func.func @transfer_write_and_vector_rank_reducing(
-      %arg : memref<1x1x3x2x1xf32>,
-      %vec : vector<3x2x1xf32>) {
-    %c0 = arith.constant 0 : index
-    vector.transfer_write %vec, %arg [%c0, %c0, %c0, %c0, %c0] :
-      vector<3x2x1xf32>, memref<1x1x3x2x1xf32>
-    return
-}
-
-// CHECK-LABEL: func @transfer_write_and_vector_rank_reducing
-//  CHECK-SAME:     %[[ARG:.+]]: memref<1x1x3x2x1xf32>
-//       CHECK:   %[[SUBVIEW:.+]] = memref.subview %[[ARG]][0, 0, 0, 0, 0] [1, 1, 3, 2, 1] [1, 1, 1, 1, 1]
-//  CHECK-SAME:     memref<1x1x3x2x1xf32> to memref<3x2xf32>
-//       CHECK:   vector.transfer_write %{{.*}}, %[[SUBVIEW]]{{.*}} {in_bounds = [true, true]} : vector<3x2xf32>, memref<3x2xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%module_op: !transform.any_op):
-  transform.vector.apply_rank_reducing_subview_patterns %module_op
-      : (!transform.any_op) -> !transform.any_op
-}
-
-// -----
-
-func.func @transfer_read_and_vector_rank_reducing_to_0d(
-      %arg : memref<1x1x1x1x1xf32>) -> vector<1x1x1xf32> {
-    %c0 = arith.constant 0 : index
-    %cst = arith.constant 0.0 : f32
-    %v = vector.transfer_read %arg[%c0, %c0, %c0, %c0, %c0], %cst :
-      memref<1x1x1x1x1xf32>, vector<1x1x1xf32>
-    return %v : vector<1x1x1xf32>
-}
-
-// CHECK-LABEL: func @transfer_read_and_vector_rank_reducing_to_0d
-//  CHECK-SAME:     %[[MEMREF:.+]]: memref<1x1x1x1x1xf32>
-//       CHECK:   %[[SUBVIEW:.+]] = memref.subview %[[MEMREF]][0, 0, 0, 0, 0] [1, 1, 1, 1, 1] [1, 1, 1, 1, 1] : memref<1x1x1x1x1xf32> to memref<f32>
-//       CHECK:   %[[READ:.+]] = vector.transfer_read %[[SUBVIEW]]{{.*}} : memref<f32>, vector<f32>
-//       CHECK:   vector.shape_cast %[[READ]] : vector<f32> to vector<1x1x1xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%module_op: !pdl.operation):
-  transform.vector.apply_rank_reducing_subview_patterns %module_op
-      : (!pdl.operation) -> !pdl.operation
-}
-
-// -----
-
-func.func @transfer_write_and_vector_rank_reducing_to_0d(
-      %arg : memref<1x1x1x1x1xf32>,
-      %vec : vector<1x1x1xf32>) {
-    %c0 = arith.constant 0 : index
-    vector.transfer_write %vec, %arg [%c0, %c0, %c0, %c0, %c0] :
-      vector<1x1x1xf32>, memref<1x1x1x1x1xf32>
-    return
-}
-
-// CHECK-LABEL: func @transfer_write_and_vector_rank_reducing_to_0d
-//  CHECK-SAME:     %[[MEMREF:.+]]: memref<1x1x1x1x1xf32>, %[[VECTOR:.+]]: vector<1x1x1xf32>
-//       CHECK:   %[[SUBVIEW:.+]] = memref.subview %[[MEMREF]][0, 0, 0, 0, 0] [1, 1, 1, 1, 1] [1, 1, 1, 1, 1] : memref<1x1x1x1x1xf32> to memref<f32>
-//       CHECK:   %[[SHCAST:.+]] = vector.shape_cast %[[VECTOR]] : vector<1x1x1xf32> to vector<f32>
-//       CHECK:   vector.transfer_write %[[SHCAST]], %[[SUBVIEW]]{{.*}} : vector<f32>, memref<f32>
 
 transform.sequence failures(propagate) {
 ^bb1(%module_op: !transform.any_op):