Update ::OperandAdaptor to ::Adaptor
The Adaptor can refer to attributes too, so update naming.
Follow up from https://reviews.llvm.org/D81741
PiperOrigin-RevId: 316451631
Change-Id: If2882e8ef2e75f70ae2c9193b4e8286ab3b0326f
diff --git a/tensorflow/compiler/mlir/xla/transforms/lhlo_legalize_to_llvm.cc b/tensorflow/compiler/mlir/xla/transforms/lhlo_legalize_to_llvm.cc
index 8846d79..99d2c08 100644
--- a/tensorflow/compiler/mlir/xla/transforms/lhlo_legalize_to_llvm.cc
+++ b/tensorflow/compiler/mlir/xla/transforms/lhlo_legalize_to_llvm.cc
@@ -35,7 +35,7 @@
auto loc = op->getLoc();
auto cast_op = cast<StaticMemRefCastOp>(op);
- StaticMemRefCastOp::OperandAdaptor operands_adaptor(operands);
+ StaticMemRefCastOp::Adaptor operands_adaptor(operands);
MemRefDescriptor sourceMemRef(operands_adaptor.operand());
MemRefType targetMemRefType =
@@ -86,7 +86,7 @@
auto loc = op->getLoc();
auto cast_op = cast<DynamicMemRefCastOp>(op);
- DynamicMemRefCastOp::OperandAdaptor operands_adaptor(operands);
+ DynamicMemRefCastOp::Adaptor operands_adaptor(operands);
MemRefDescriptor sourceMemRef(operands_adaptor.operand());
MemRefType targetMemRefType =
diff --git a/tensorflow/compiler/mlir/xla/transforms/xla_legalize_to_linalg.cc b/tensorflow/compiler/mlir/xla/transforms/xla_legalize_to_linalg.cc
index 0e48425..ad78a01 100644
--- a/tensorflow/compiler/mlir/xla/transforms/xla_legalize_to_linalg.cc
+++ b/tensorflow/compiler/mlir/xla/transforms/xla_legalize_to_linalg.cc
@@ -415,7 +415,7 @@
LogicalResult matchAndRewrite(
xla_lhlo::BroadcastInDimOp op, ArrayRef<Value> args,
ConversionPatternRewriter& rewriter) const final {
- xla_lhlo::BroadcastInDimOp::OperandAdaptor operand_adaptor(args);
+ xla_lhlo::BroadcastInDimOp::Adaptor operand_adaptor(args);
auto result_type = operand_adaptor.output().getType().cast<MemRefType>();
auto result_shape = result_type.getShape();
@@ -476,7 +476,7 @@
std::pair<Value, SmallVector<int64_t, 2>> InsertReshapeIfNecessary(
xla_lhlo::BroadcastInDimOp op, ArrayRef<Value> args,
ConversionPatternRewriter& rewriter) const {
- xla_lhlo::BroadcastInDimOp::OperandAdaptor operand_adaptor(args);
+ xla_lhlo::BroadcastInDimOp::Adaptor operand_adaptor(args);
Value operand = operand_adaptor.operand();
auto operand_type = operand_adaptor.operand().getType().cast<MemRefType>();
auto operand_shape = operand_type.getShape();