[Mlir-commits] [mlir] [mlir][tensor] Fix a bug in constant packing folding. (PR #87296)

[llvmlistbot at llvm.org]

llvmbot wrote:


<!--LLVM PR SUMMARY COMMENT-->

@llvm/pr-subscribers-mlir-tensor

Author: Han-Chung Wang (hanhanW)

<details>
<summary>Changes</summary>

We can't just check if it is a splat constant or not. We should also check if the value match.

---
Full diff: https://github.com/llvm/llvm-project/pull/87296.diff


2 Files Affected:

- (modified) mlir/lib/Dialect/Tensor/IR/TensorOps.cpp (+9-4) 
- (modified) mlir/test/Dialect/Tensor/canonicalize.mlir (+33) 


``````````diff
diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
index 38a9ad60bb7948..8dc1ef67ce65c5 100644
--- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
+++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
@@ -1069,9 +1069,11 @@ void EmptyOp::getCanonicalizationPatterns(RewritePatternSet &results,
 /// Try to remove a tensor operation if it would only reshape a constant.
 /// Removes the op and replaces the constant with a new constant of the result
 /// shape.
-static OpFoldResult reshapeConstantSource(DenseElementsAttr source,
-                                          TensorType result) {
-  if (source && source.isSplat() && result.hasStaticShape())
+static OpFoldResult
+reshapeConstantSource(DenseElementsAttr source, TensorType result,
+                      std::optional<Attribute> cst = std::nullopt) {
+  if (source && source.isSplat() && result.hasStaticShape() &&
+      (!cst.has_value() || source.getSplatValue<Attribute>() == cst.value()))
     return source.resizeSplat(result);
 
   return {};
@@ -4143,9 +4145,12 @@ bool PackOp::isLikePad() {
 }
 
 OpFoldResult PackOp::fold(FoldAdaptor adaptor) {
+  std::optional<Attribute> paddingValue;
+  if (adaptor.getPaddingValue())
+    paddingValue = adaptor.getPaddingValue();
   if (OpFoldResult reshapedSource = reshapeConstantSource(
           llvm::dyn_cast_if_present<DenseElementsAttr>(adaptor.getSource()),
-          getResult().getType()))
+          adaptor.getDestType(), paddingValue))
     return reshapedSource;
   return {};
 }
diff --git a/mlir/test/Dialect/Tensor/canonicalize.mlir b/mlir/test/Dialect/Tensor/canonicalize.mlir
index 9ab54fe9c133db..ac365c9d297e88 100644
--- a/mlir/test/Dialect/Tensor/canonicalize.mlir
+++ b/mlir/test/Dialect/Tensor/canonicalize.mlir
@@ -830,6 +830,39 @@ func.func @fold_pack_constant_splat(%dest : tensor<8x16x8x32xf32>) -> tensor<8x1
 
 // -----
 
+// CHECK-LABEL: func @fold_padding_value_pack_constant_splat
+//   CHECK-NOT: tensor.pack
+//       CHECK: arith.constant dense<1.000000e-01> : tensor<8x16x8x32xf32>
+func.func @fold_padding_value_pack_constant_splat(%dest : tensor<8x16x8x32xf32>) -> tensor<8x16x8x32xf32> {
+  %pad = arith.constant 1.000000e-01 : f32
+  %cst = arith.constant dense<1.000000e-01> : tensor<63x127xf32>
+  %0 = tensor.pack %cst
+    padding_value(%pad : f32)
+    outer_dims_perm = [1, 0] inner_dims_pos = [0, 1]
+    inner_tiles = [8, 32] into %dest : tensor<63x127xf32> -> tensor<8x16x8x32xf32>
+  return %0 : tensor<8x16x8x32xf32>
+}
+
+
+// -----
+
+// CHECK-LABEL: func @nofold_padding_value_pack_constant_splat
+//       CHECK: arith.constant dense<1.000000e-01> : tensor<63x127xf32>
+//       CHECK: tensor.pack
+func.func @nofold_padding_value_pack_constant_splat(%dest : tensor<8x16x8x32xf32>) -> tensor<8x16x8x32xf32> {
+  %pad = arith.constant 0.0 : f32
+  %cst = arith.constant dense<1.000000e-01> : tensor<63x127xf32>
+  %0 = tensor.pack %cst
+    padding_value(%pad : f32)
+    outer_dims_perm = [1, 0]
+    inner_dims_pos = [0, 1]
+    inner_tiles = [8, 32]
+    into %dest : tensor<63x127xf32> -> tensor<8x16x8x32xf32>
+  return %0 : tensor<8x16x8x32xf32>
+}
+
+// -----
+
 func.func @fold_padding_value_pack(%arg0: tensor<1200x500000xf32>) -> tensor<31250x1200x16x1xf32> {
   %cst = arith.constant 0.000000e+00 : f32
   %0 = tensor.empty() : tensor<31250x1200x16x1xf32>

``````````

</details>


https://github.com/llvm/llvm-project/pull/87296