[mlir] Rename GeneralizeOuterUnitDims{Un}PackOpPatterns

Renames:
  * `GeneralizeOuterUnitDimsPackOpPattern`,
  * `GeneralizeOuterUnitDimsUnPackOpPattern`,

as
  * `DecomposeOuterUnitDimsPackOpPattern`,
  * `OuterUnitDimsUnPackOpPattern`,

respectively. The new name better describes the underlying
transformation.

**NOTE** Depends on #116373 (please only review the top commit)

Author: banach-space

mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td

@@ -41,13 +41,12 @@ def ApplyEraseUnnecessaryInputsPatternsOp : Op<Transform_Dialect,
   let assemblyFormat = "attr-dict";
 }
 
-def ApplyGeneralizeTensorPackUnpackPatternsOp
-    : Op<Transform_Dialect, "apply_patterns.linalg.generalize_pack_unpack",
+def ApplyDecomposeTensorPackUnpackPatternsOp
+    : Op<Transform_Dialect, "apply_patterns.linalg.decompose_pack_unpack",
          [DeclareOpInterfaceMethods<PatternDescriptorOpInterface>]> {
   let description = [{
-    Collect patterns to generalize tensor.pack and tensor.unpack (i.e. to
-    decompose it into e.g. tensor::PadOp, linalg::transposeOp etc). Requires
-    all outer dims to be unit.
+    Collect patterns to decompose tensor.pack and tensor.unpack into e.g.
+    tensor::PadOp, linalg::transposeOp Ops. Requires all outer dims to be unit.
   }];
 
   let assemblyFormat = "attr-dict";

mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h

@@ -1548,7 +1548,7 @@ struct GeneralizePadOpPattern : public OpRewritePattern<tensor::PadOp> {
 ///     into %arg1[0, 0, 0, 0] [1, 1, 2, %tile_dim_1] [1, 1, 1, 1]
 ///     : tensor<2x?xf32> into tensor<1x1x2x?xf32>
 /// ```
-struct GeneralizeOuterUnitDimsPackOpPattern
+struct DecomposeOuterUnitDimsPackOpPattern
     : public OpRewritePattern<tensor::PackOp> {
   using OpRewritePattern<tensor::PackOp>::OpRewritePattern;
   LogicalResult matchAndRewrite(tensor::PackOp packOp,
@@ -1558,7 +1558,7 @@ struct GeneralizeOuterUnitDimsPackOpPattern
 /// Rewrites a tensor::UnPackOp into a sequence of rank-reduced extract_slice op
 /// + transpose op + insert_slice op, where the tensor::UnPackOp has outer dims
 /// being all 1s.
-struct GeneralizeOuterUnitDimsUnPackOpPattern
+struct DecomposeOuterUnitDimsUnPackOpPattern
     : public OpRewritePattern<tensor::UnPackOp> {
   using OpRewritePattern<tensor::UnPackOp>::OpRewritePattern;
   LogicalResult matchAndRewrite(tensor::UnPackOp unpackOp,
@@ -1686,7 +1686,7 @@ void populateDecomposeConvolutionPatterns(RewritePatternSet &patterns,
 /// Populates patterns to decompose tensor.pack and tensor.unpack Ops into e.g.
 /// tensor.pad, linalg.transpose, tensor.{insert|extract}_slice. Require all
 /// outer dims to be unit.
-void populateGeneralizePatterns(RewritePatternSet &patterns);
+void populateDecomposePackUnpackPatterns(RewritePatternSet &patterns);
 
 /// Populates patterns to transform linalg.conv_2d_xxx operations into
 /// linalg.generic (for img2col packing) and linalg.matmul.

mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp

@@ -229,9 +229,9 @@ void transform::ApplyEraseUnnecessaryInputsPatternsOp::populatePatterns(
   linalg::populateEraseUnnecessaryInputsPatterns(patterns);
 }
 
-void transform::ApplyGeneralizeTensorPackUnpackPatternsOp::populatePatterns(
+void transform::ApplyDecomposeTensorPackUnpackPatternsOp::populatePatterns(
     RewritePatternSet &patterns) {
-  linalg::populateGeneralizePatterns(patterns);
+  linalg::populateDecomposePackUnpackPatterns(patterns);
 }
 
 void transform::ApplyFoldUnitExtentDimsViaReshapesPatternsOp::populatePatterns(

mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp

@@ -1138,7 +1138,7 @@ getPackUnpackRankReducedPerm(ArrayRef<int64_t> shape,
   return perm;
 }
 
-LogicalResult GeneralizeOuterUnitDimsPackOpPattern::matchAndRewrite(
+LogicalResult DecomposeOuterUnitDimsPackOpPattern::matchAndRewrite(
     tensor::PackOp packOp, PatternRewriter &rewriter) const {
   // TODO: support the case that outer dimensions are not all 1s. A
   // tensor.expand_shape will be generated in this case.
@@ -1239,7 +1239,7 @@ LogicalResult GeneralizeOuterUnitDimsPackOpPattern::matchAndRewrite(
   return success();
 }
 
-LogicalResult GeneralizeOuterUnitDimsUnPackOpPattern::matchAndRewrite(
+LogicalResult DecomposeOuterUnitDimsUnPackOpPattern::matchAndRewrite(
     tensor::UnPackOp unpackOp, PatternRewriter &rewriter) const {
   int64_t srcRank = unpackOp.getSourceRank();
   int64_t destRank = unpackOp.getDestRank();
@@ -1619,7 +1619,7 @@ void linalg::populateDecomposeConvolutionPatterns(RewritePatternSet &patterns,
       patterns.getContext(), benefit);
 }
 
-void linalg::populateGeneralizePatterns(RewritePatternSet &patterns) {
+void linalg::populateDecomposePackUnpackPatterns(RewritePatternSet &patterns) {
   // TODO: Add and test patterns for tensor.unpack
-  patterns.add<GeneralizeOuterUnitDimsPackOpPattern>(patterns.getContext());
+  patterns.add<DecomposeOuterUnitDimsPackOpPattern>(patterns.getContext());
 }

mlir/test/Dialect/Linalg/generalize-tensor-pack-tile.mlir renamed to mlir/test/Dialect/Linalg/decompose-tensor-pack-tile.mlir

@@ -1,4 +1,7 @@
-// RUN: mlir-opt -split-input-file --transform-interpreter --canonicalize --test-linalg-transform-patterns="test-generalize-tensor-pack"  %s | FileCheck %s
+// RUN: mlir-opt -split-input-file -transform-interpreter --canonicalize \
+// RUN: -transform-preload-library='transform-library-paths=%p/td/decompose-pack.mlir' \
+// RUN: -transform-interpreter=entry-point=decompose_pack \
+// RUN: -transform-interpreter  %s | FileCheck %s
 
 func.func @KCRS_to_KCRSsr(%arg0: tensor<1x1x128x64xf32>, %arg1: tensor<1x1x4x8x8x32xf32>) -> tensor<1x1x4x8x8x32xf32> {
   %0 = tensor.pack %arg0 inner_dims_pos = [3, 2] inner_tiles = [8, 32] into %arg1 : tensor<1x1x128x64xf32> -> tensor<1x1x4x8x8x32xf32>

mlir/test/Dialect/Linalg/generalize-tensor-pack.mlir renamed to mlir/test/Dialect/Linalg/decompose-tensor-pack.mlir

@@ -1,4 +1,6 @@
-// RUN: mlir-opt  --transform-preload-library='transform-library-paths=%p/td/generalize-pack.mlir' -split-input-file  --transform-interpreter %s | FileCheck %s
+// RUN: mlir-opt -split-input-file \
+// RUN: -transform-preload-library='transform-library-paths=%p/td/decompose-pack.mlir' \
+// RUN: -transform-interpreter=entry-point=decompose_pack %s | FileCheck %s
 
 func.func @simple_KCRS_to_KCRSsr(%arg0: tensor<?x?xi32>, %arg1: tensor<1x1x?x1xi32>) -> tensor<1x1x?x1xi32> {
   %c8 = arith.constant 8 : index

mlir/test/Dialect/Linalg/generalize-tensor-unpack-tile.mlir renamed to mlir/test/Dialect/Linalg/decompose-tensor-unpack-tile.mlir

@@ -1,4 +1,4 @@
-// RUN: mlir-opt -split-input-file --transform-interpreter --canonicalize --test-linalg-transform-patterns="test-generalize-tensor-unpack"  %s | FileCheck %s
+// RUN: mlir-opt -split-input-file --transform-interpreter --canonicalize --test-linalg-transform-patterns="test-decompose-tensor-unpack"  %s | FileCheck %s
 
 func.func @KCRSsr_to_KCRS(%arg0: tensor<1x1x4x8x8x32xf32>, %arg1: tensor<1x1x128x64xf32>) -> tensor<1x1x128x64xf32> {
   %0 = tensor.unpack %arg0 inner_dims_pos = [3, 2] inner_tiles = [8, 32] into %arg1 : tensor<1x1x4x8x8x32xf32> -> tensor<1x1x128x64xf32>

mlir/test/Dialect/Linalg/generalize-tensor-unpack.mlir renamed to mlir/test/Dialect/Linalg/decompose-tensor-unpack.mlir

@@ -1,4 +1,4 @@
-// RUN: mlir-opt -split-input-file --test-linalg-transform-patterns="test-generalize-tensor-unpack"  %s | FileCheck %s
+// RUN: mlir-opt -split-input-file --test-linalg-transform-patterns="test-decompose-tensor-unpack"  %s | FileCheck %s
 
 func.func @simple_KCRSsr_to_KCRS(%arg0: tensor<1x1x1x1x8x32xf32>, %arg1: tensor<1x1x32x8xf32>) -> tensor<1x1x32x8xf32> {
   %0 = tensor.unpack %arg0 inner_dims_pos = [3, 2] inner_tiles = [8, 32] into %arg1 : tensor<1x1x1x1x8x32xf32> -> tensor<1x1x32x8xf32>

mlir/test/Dialect/Linalg/td/generalize-pack.mlir renamed to mlir/test/Dialect/Linalg/td/decompose-pack.mlir

@@ -1,10 +1,10 @@
 module @transforms attributes { transform.with_named_sequence } {
-  transform.named_sequence @__transform_main(%module: !transform.any_op {transform.readonly}) {
+  transform.named_sequence @decompose_pack(%module: !transform.any_op {transform.readonly}) {
     %pack = transform.structured.match ops{["tensor.pack"]} in %module : (!transform.any_op) -> !transform.any_op
 
     %1 = transform.get_parent_op %pack {isolated_from_above} : (!transform.any_op) -> !transform.any_op
     transform.apply_patterns to %1 {
-      transform.apply_patterns.linalg.generalize_pack_unpack
+      transform.apply_patterns.linalg.decompose_pack_unpack
     } : !transform.any_op
 
     transform.yield

mlir/test/Integration/Dialect/Linalg/CPU/pack-dynamic-inner-tile.mlir

@@ -1,6 +1,6 @@
 // DEFINE: %{compile} =  mlir-opt %s \
 // DEFINE: -transform-interpreter -test-transform-dialect-erase-schedule |\
-// DEFINE:  mlir-opt --test-linalg-transform-patterns="test-generalize-tensor-pack"\
+// DEFINE:  mlir-opt --test-linalg-transform-patterns="test-decompose-tensor-pack"\
 // DEFINE:    --test-transform-dialect-erase-schedule \
 // DEFINE:    -one-shot-bufferize="bufferize-function-boundaries" \
 // DEFINE:    -buffer-deallocation-pipeline="private-function-dynamic-ownership" \