diff --git a/mlir/lib/Target/LLVMIR/ModuleTranslation.cpp b/mlir/lib/Target/LLVMIR/ModuleTranslation.cpp
--- a/mlir/lib/Target/LLVMIR/ModuleTranslation.cpp
+++ b/mlir/lib/Target/LLVMIR/ModuleTranslation.cpp
@@ -119,9 +119,12 @@
   if (!llvm::ConstantDataSequential::isElementTypeCompatible(innermostLLVMType))
     return nullptr;
 
+  ShapedType type = denseElementsAttr.getType();
+  if (type.getNumElements() == 0)
+    return nullptr;
+
   // Compute the shape of all dimensions but the innermost. Note that the
   // innermost dimension may be that of the vector element type.
-  ShapedType type = denseElementsAttr.getType();
   bool hasVectorElementType = type.getElementType().isa<VectorType>();
   unsigned numAggregates =
       denseElementsAttr.getNumElements() /
diff --git a/mlir/test/Target/LLVMIR/llvmir.mlir b/mlir/test/Target/LLVMIR/llvmir.mlir
--- a/mlir/test/Target/LLVMIR/llvmir.mlir
+++ b/mlir/test/Target/LLVMIR/llvmir.mlir
@@ -21,6 +21,9 @@
 // CHECK: @int_global_array_zero_elements = internal constant [3 x [0 x [4 x float]]] zeroinitializer
 llvm.mlir.global internal constant @int_global_array_zero_elements(dense<> : tensor<3x0x4xf32>) : !llvm.array<3 x array<0 x array<4 x f32>>>
 
+// CHECK: @int_global_array_zero_elements_1d = internal constant [0 x float] zeroinitializer
+llvm.mlir.global internal constant @int_global_array_zero_elements_1d(dense<> : tensor<0xf32>) : !llvm.array<0 x f32>
+
 // CHECK: @i32_global_addr_space = internal addrspace(7) global i32 62
 llvm.mlir.global internal @i32_global_addr_space(62: i32) {addr_space = 7 : i32} : i32