forked from OSchip/llvm-project
[mlir] Change DenseArrayAttr to TensorType
Previously, DenseArrayAttr used VectorType for its shaped type. VectorType is problematic for arrays because it doesn't support zero dimensions, meaning that an empty array would have `vector<i32>` as its type. ElementsAttr would think that an empty dense array is size 1, not 0. This patch switches over to TensorType, which does support zero dimensions. Fixes #56860 Reviewed By: mehdi_amini Differential Revision: https://reviews.llvm.org/D130921
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@ -1880,7 +1880,7 @@ void AsmPrinter::Impl::printAttribute(Attribute attr,
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os << "[:f64";
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break;
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}
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if (denseArrayAttr.getType().getRank())
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if (denseArrayAttr.size())
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os << " ";
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denseArrayAttr.printWithoutBraces(os);
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os << "]";
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@ -884,7 +884,7 @@ struct denseArrayAttrEltTypeBuilder<int8_t> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::I8;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, IntegerType::get(context, 8));
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return RankedTensorType::get(shape, IntegerType::get(context, 8));
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}
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};
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template <>
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@ -892,7 +892,7 @@ struct denseArrayAttrEltTypeBuilder<int16_t> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::I16;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, IntegerType::get(context, 16));
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return RankedTensorType::get(shape, IntegerType::get(context, 16));
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}
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};
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template <>
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@ -900,7 +900,7 @@ struct denseArrayAttrEltTypeBuilder<int32_t> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::I32;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, IntegerType::get(context, 32));
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return RankedTensorType::get(shape, IntegerType::get(context, 32));
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}
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};
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template <>
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@ -908,7 +908,7 @@ struct denseArrayAttrEltTypeBuilder<int64_t> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::I64;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, IntegerType::get(context, 64));
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return RankedTensorType::get(shape, IntegerType::get(context, 64));
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}
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};
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template <>
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@ -916,7 +916,7 @@ struct denseArrayAttrEltTypeBuilder<float> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::F32;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, Float32Type::get(context));
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return RankedTensorType::get(shape, Float32Type::get(context));
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}
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};
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template <>
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@ -924,7 +924,7 @@ struct denseArrayAttrEltTypeBuilder<double> {
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constexpr static auto eltType = DenseArrayBaseAttr::EltType::F64;
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static ShapedType getShapedType(MLIRContext *context,
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ArrayRef<int64_t> shape) {
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return VectorType::get(shape, Float64Type::get(context));
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return RankedTensorType::get(shape, Float64Type::get(context));
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}
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};
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} // namespace
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@ -934,8 +934,8 @@ template <typename T>
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DenseArrayAttr<T> DenseArrayAttr<T>::get(MLIRContext *context,
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ArrayRef<T> content) {
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auto size = static_cast<int64_t>(content.size());
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auto shapedType = denseArrayAttrEltTypeBuilder<T>::getShapedType(
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context, size ? ArrayRef<int64_t>{size} : ArrayRef<int64_t>{});
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auto shapedType =
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denseArrayAttrEltTypeBuilder<T>::getShapedType(context, size);
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auto eltType = denseArrayAttrEltTypeBuilder<T>::eltType;
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auto rawArray = ArrayRef<char>(reinterpret_cast<const char *>(content.data()),
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content.size() * sizeof(T));
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