diff --git a/test/test_torch.py b/test/test_torch.py
index 2bccf650e0b48..52eda30e37562 100644
--- a/test/test_torch.py
+++ b/test/test_torch.py
@@ -7310,6 +7310,20 @@ def test_ctor_with_numpy_array(self):
                 for i in range(len(array)):
                     self.assertEqual(tensor[i], array[i])
 
+    @unittest.skipIf(not TEST_NUMPY, "Numpy not found")
+    def test_ctor_with_numpy_scalar_ctor(self):
+        dtypes = [
+            np.double,
+            np.float,
+            np.float16,
+            np.int64,
+            np.int32,
+            np.int16,
+            np.uint8
+        ]
+        for dtype in dtypes:
+            self.assertEqual(dtype(42), torch.tensor(dtype(42)).item())
+
     @unittest.skipIf(not TEST_NUMPY, "Numpy not found")
     def test_numpy_index(self):
         i = np.int32([0, 1, 2])
diff --git a/torch/csrc/utils/tensor_new.cpp b/torch/csrc/utils/tensor_new.cpp
index 3a8b4a7bbc159..d03fd55f2accf 100644
--- a/torch/csrc/utils/tensor_new.cpp
+++ b/torch/csrc/utils/tensor_new.cpp
@@ -139,8 +139,10 @@ ScalarType infer_scalar_type(PyObject *obj) {
   }
 #ifdef USE_NUMPY
   if (PyArray_Check(obj)) {
-    auto array = (PyArrayObject*)obj;
-    return numpy_dtype_to_aten(PyArray_TYPE(array));
+    return numpy_dtype_to_aten(PyArray_TYPE((PyArrayObject*)obj));
+  }
+  if (PyArray_CheckScalar(obj)) {
+    return numpy_dtype_to_aten(PyArray_TYPE((PyArrayObject*)(PyArray_FromScalar(obj, NULL))));
   }
 #endif
   if (PySequence_Check(obj)) {