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Update ::OperandAdaptor to ::Adaptor

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The Adaptor can refer to attributes too, so update naming.

Follow up from https://reviews.llvm.org/D81741

PiperOrigin-RevId: 316451631
Change-Id: If2882e8ef2e75f70ae2c9193b4e8286ab3b0326f
This commit is contained in:
Jacques Pienaar 2020-06-15 06:25:37 -07:00 committed by TensorFlower Gardener
parent f926d8c10e
commit af52bd27dc
2 changed files with 4 additions and 4 deletions
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4
tensorflow/compiler/mlir/xla/transforms/lhlo_legalize_to_llvm.cc
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@ -35,7 +35,7 @@ struct StaticMemRefCastOpConverter
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 @@ struct DynamicMemRefCastOpConverter
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 =

4
tensorflow/compiler/mlir/xla/transforms/xla_legalize_to_linalg.cc
View File

@ -415,7 +415,7 @@ class LhloBroadcastInDimConverter
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 @@ class LhloBroadcastInDimConverter
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();