[Mlir-commits] [mlir] [mlir] Fix `tensor.pad` to remote newly static values (PR #79938)

Rob Suderman llvmlistbot at llvm.org
Mon Jan 29 19:27:07 PST 2024


https://github.com/rsuderman updated https://github.com/llvm/llvm-project/pull/79938

>From bc9d42a83049237af43c5dcf5132d60c441b94b9 Mon Sep 17 00:00:00 2001
From: Rob Suderman <rob.suderman at gmail.com>
Date: Mon, 29 Jan 2024 18:30:09 -0800
Subject: [PATCH 1/2] [mlir] Fix `tensor.pad` to remote newly static values

The canonicalization incrementally converts foldable dynamic hi/lo
padding to static hi/lo values. During this canonicalization the
static-fied valued should be removed from the dynamic values.
---
 mlir/lib/Dialect/Tensor/IR/TensorOps.cpp   | 6 +++++-
 mlir/test/Dialect/Tensor/canonicalize.mlir | 2 +-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
index b2fe58099b2fb..ff549c697c7fa 100644
--- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
+++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
@@ -3158,19 +3158,23 @@ struct FoldStaticPadding : public OpRewritePattern<PadOp> {
 
     // Extract the static info from the high and low operands.
     SmallVector<int64_t> constOperandsLow;
+    llvm::SmallVector<Value> newLows;
     for (auto operand : padTensorOp.getLow()) {
       APSInt intOp;
       if (!matchPattern(operand, m_ConstantInt(&intOp))) {
         constOperandsLow.push_back(ShapedType::kDynamic);
+        newLows.push_back(operand);
         continue;
       }
       constOperandsLow.push_back(intOp.getExtValue());
     }
     SmallVector<int64_t> constOperandsHigh;
+    llvm::SmallVector<Value> newHighs;
     for (auto operand : padTensorOp.getHigh()) {
       APSInt intOp;
       if (!matchPattern(operand, m_ConstantInt(&intOp))) {
         constOperandsHigh.push_back(ShapedType::kDynamic);
+        newHighs.push_back(operand);
         continue;
       }
       constOperandsHigh.push_back(intOp.getExtValue());
@@ -3222,7 +3226,7 @@ struct FoldStaticPadding : public OpRewritePattern<PadOp> {
         newOutDims, padTensorOp.getType().getElementType());
     auto newOp = rewriter.create<PadOp>(
         padTensorOp->getLoc(), newResultType, input, staticLow, staticHigh,
-        padTensorOp.getLow(), padTensorOp.getHigh(), padTensorOp.getNofold(),
+        newLows, newLows, padTensorOp.getNofold(),
         getPrunedAttributeList(padTensorOp, PadOp::getAttributeNames()));
 
     IRMapping mapper;
diff --git a/mlir/test/Dialect/Tensor/canonicalize.mlir b/mlir/test/Dialect/Tensor/canonicalize.mlir
index ed964071358ac..0ee38410400f2 100644
--- a/mlir/test/Dialect/Tensor/canonicalize.mlir
+++ b/mlir/test/Dialect/Tensor/canonicalize.mlir
@@ -1361,7 +1361,7 @@ func.func @pad_same_static_shape(%arg0: tensor<5x6xf32>, %a: index)
 // CHECK-LABEL:   func @pad_fold_static(
 // CHECK-SAME:      %[[INPUT:.*]]: tensor<?x64x?x?xf32>) -> tensor<?x?x?x?xf32> {
 // CHECK:           %[[CST:.*]] = arith.constant 0.000000e+00 : f32
-// CHECK:           %[[PADDING:.*]] = arith.constant 4 : index
+// CHECK-NOT:       %[[PADDING:.*]] = arith.constant 4 : index
 // CHECK:           %[[PADDED:.*]] = tensor.pad %[[INPUT]]
 // CHECK-SAME:        low[0, 4, 1, 1] high[0, 4, 1, 1]  {
 // CHECK:           ^bb0(%[[ARG1:.*]]: index, %[[ARG2:.*]]: index, %[[ARG3:.*]]: index, %[[ARG4:.*]]: index):

>From 98ece5159bf4766e97cca950c659574b1a53bb48 Mon Sep 17 00:00:00 2001
From: Rob Suderman <rob.suderman at gmail.com>
Date: Mon, 29 Jan 2024 19:26:51 -0800
Subject: [PATCH 2/2] fix typo

---
 mlir/lib/Dialect/Tensor/IR/TensorOps.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
index ff549c697c7fa..7b032caa666c3 100644
--- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
+++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
@@ -3226,7 +3226,7 @@ struct FoldStaticPadding : public OpRewritePattern<PadOp> {
         newOutDims, padTensorOp.getType().getElementType());
     auto newOp = rewriter.create<PadOp>(
         padTensorOp->getLoc(), newResultType, input, staticLow, staticHigh,
-        newLows, newLows, padTensorOp.getNofold(),
+        newLows, newHighs, padTensorOp.getNofold(),
         getPrunedAttributeList(padTensorOp, PadOp::getAttributeNames()));
 
     IRMapping mapper;



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