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tensorflow/compiler/mlir/lite/stablehlo/transforms/fold_broadcast_pass.cc
using FoldBroadcastInDimBeforeMulOp = FoldBroadcastInDimBeforeBinaryElementwiseOp<mhlo::MulOp>; // Constant folds mhlo.mul, this folder doesn't have an upper limit on how many // elements can be folded. LogicalResult ConstantFoldMul(mhlo::MulOp op, PatternRewriter &rewriter) { ShapedType type = mlir::dyn_cast<ShapedType>(op.getType()); Type etype = type.getElementType(); Attribute result = {}; if (mlir::isa<FloatType>(etype)) {
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