diff --git a/mindspore/dataset/transforms/vision/validators.py b/mindspore/dataset/transforms/vision/validators.py
index aff2d3bc0cd..63cb7683c15 100644
--- a/mindspore/dataset/transforms/vision/validators.py
+++ b/mindspore/dataset/transforms/vision/validators.py
@@ -830,6 +830,9 @@ def check_uniform_augmentation(method):
         else:
             num_ops = 2
 
+        if not isinstance(num_ops, int):
+            raise ValueError("Number of operations should be an integer.")
+
         if num_ops <= 0:
             raise ValueError("num_ops should be greater than zero")
         if num_ops > len(operations):
diff --git a/tests/ut/python/dataset/test_uniform_augment.py b/tests/ut/python/dataset/test_uniform_augment.py
index de3b525a073..93a936da4c3 100644
--- a/tests/ut/python/dataset/test_uniform_augment.py
+++ b/tests/ut/python/dataset/test_uniform_augment.py
@@ -226,16 +226,40 @@ def test_cpp_uniform_augment_exception_nonpositive_numops(num_ops=0):
         logger.info("Got an exception in DE: {}".format(str(e)))
         assert "num_ops" in str(e)
 
-def test_cpp_uniform_augment_random_crop_ut():
+def test_cpp_uniform_augment_exception_float_numops(num_ops=2.5):
+    """
+    Test UniformAugment invalid float number of ops
+    """
+    logger.info("Test CPP UniformAugment invalid float num_ops exception")
+
+    transforms_ua = [C.RandomCrop(size=[224, 224], padding=[32, 32, 32, 32]),
+                     C.RandomHorizontalFlip(),
+                     C.RandomVerticalFlip(),
+                     C.RandomColorAdjust(),
+                     C.RandomRotation(degrees=45)]
+
+    try:
+        uni_aug = C.UniformAugment(operations=transforms_ua, num_ops=num_ops)
+
+    except BaseException as e:
+        logger.info("Got an exception in DE: {}".format(str(e)))
+        assert "integer" in str(e)
+
+def test_cpp_uniform_augment_random_crop_badinput(num_ops=1):
+    """
+    Test UniformAugment with greater crop size
+    """
+    logger.info("Test CPP UniformAugment with random_crop bad input")
     batch_size=2
     cifar10_dir = "../data/dataset/testCifar10Data"
     ds1 = de.Cifar10Dataset(cifar10_dir, shuffle=False)  # shape = [32,32,3]
 
     transforms_ua = [
+        # Note: crop size [224, 224] > image size [32, 32]
         C.RandomCrop(size=[224, 224]),
         C.RandomHorizontalFlip()
     ]
-    uni_aug = C.UniformAugment(operations=transforms_ua, num_ops=1)
+    uni_aug = C.UniformAugment(operations=transforms_ua, num_ops=num_ops)
     ds1 = ds1.map(input_columns="image", operations=uni_aug)
 
     # apply DatasetOps
@@ -254,4 +278,5 @@ if __name__ == "__main__":
     test_cpp_uniform_augment_exception_pyops(num_ops=1)
     test_cpp_uniform_augment_exception_large_numops(num_ops=6)
     test_cpp_uniform_augment_exception_nonpositive_numops(num_ops=0)
-    test_cpp_uniform_augment_random_crop_ut()
+    test_cpp_uniform_augment_exception_float_numops(num_ops=2.5)
+    test_cpp_uniform_augment_random_crop_badinput(num_ops=1)