[MHLO] Don't crash trying to constant fold mhlo.convert on complex
MLIR still doesn't have a complex attribute so this can't be implemented, so just bail out instead of trying to fold. PiperOrigin-RevId: 373128307
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@ -27,6 +27,11 @@ namespace hlo {
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mlir::ElementsAttr ConvertElementsAttr(const mlir::ElementsAttr& elements,
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mlir::Type new_type) {
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auto old_type = getElementTypeOrSelf(elements);
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// TODO(kramerb): Add support when MLIR can represent const complex tensors.
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if (old_type.isa<mlir::ComplexType>() || new_type.isa<mlir::ComplexType>()) {
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return {};
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}
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size_t bit_width = new_type.isBF16() ? 64 : new_type.getIntOrFloatBitWidth();
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if (old_type.isa<mlir::FloatType>()) {
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@ -245,3 +245,53 @@ func @const_high_rank_tensor() -> tensor<2x3xi32> {
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return %0 : tensor<2x3xi32>
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}
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// -----
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// CHECK-LABEL: func @const_int_complex
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func @const_int_complex() -> tensor<2xcomplex<f32>> {
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%cst = mhlo.constant dense<[0, 1]> : tensor<2xi1>
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// CHECK: mhlo.convert
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%0 = "mhlo.convert"(%cst) : (tensor<2xi1>) -> tensor<2xcomplex<f32>>
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return %0 : tensor<2xcomplex<f32>>
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}
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// -----
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// CHECK-LABEL: func @const_float_complex
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func @const_float_complex() -> tensor<2xcomplex<f64>> {
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%cst = mhlo.constant dense<[0.0, 1.0]> : tensor<2xf32>
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// CHECK: mhlo.convert
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%0 = "mhlo.convert"(%cst) : (tensor<2xf32>) -> tensor<2xcomplex<f64>>
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return %0 : tensor<2xcomplex<f64>>
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}
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// -----
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// CHECK-LABEL: func @const_complex_int
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func @const_complex_int() -> tensor<i32> {
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%cst = mhlo.constant dense<(0.0, 1.0)> : tensor<complex<f32>>
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// CHECK: mhlo.convert
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%0 = "mhlo.convert"(%cst) : (tensor<complex<f32>>) -> tensor<i32>
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return %0 : tensor<i32>
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}
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// -----
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// CHECK-LABEL: func @const_complex_float
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func @const_complex_float() -> tensor<f32> {
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%cst = mhlo.constant dense<(0.0, 1.0)> : tensor<complex<f32>>
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// CHECK: mhlo.convert
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%0 = "mhlo.convert"(%cst) : (tensor<complex<f32>>) -> tensor<f32>
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return %0 : tensor<f32>
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}
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// -----
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// CHECK-LABEL: func @const_complex_complex
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func @const_complex_complex() -> tensor<complex<f64>> {
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%cst = mhlo.constant dense<(0.0, 1.0)> : tensor<complex<f32>>
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// CHECK: mhlo.convert
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%0 = "mhlo.convert"(%cst) : (tensor<complex<f32>>) -> tensor<complex<f64>>
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return %0 : tensor<complex<f64>>
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}
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