diff --git a/mmselfsup/datasets/samplers/deepcluster_sampler.py b/mmselfsup/datasets/samplers/deepcluster_sampler.py
index d3b3c90f..c85413ff 100644
--- a/mmselfsup/datasets/samplers/deepcluster_sampler.py
+++ b/mmselfsup/datasets/samplers/deepcluster_sampler.py
@@ -101,7 +101,7 @@ class DeepClusterSampler(DefaultSampler):
                     l, size_per_label, replace=(len(l) <= size_per_label)))
         indices = np.array(indices)
         np.random.shuffle(indices)
-        indices = indices[:N].astype(np.int).tolist()
+        indices = indices[:N].astype(int).tolist()
 
         # add extra samples to make it evenly divisible
         assert len(indices) <= self.total_size, \
diff --git a/mmselfsup/datasets/transforms/processing.py b/mmselfsup/datasets/transforms/processing.py
index f673b6f4..b6dfb362 100644
--- a/mmselfsup/datasets/transforms/processing.py
+++ b/mmselfsup/datasets/transforms/processing.py
@@ -198,7 +198,7 @@ class BEiTMaskGenerator(BaseTransform):
         Returns:
             dict: Result dict with added key ``mask``.
         """
-        mask = np.zeros(shape=self.get_shape(), dtype=np.int)
+        mask = np.zeros(shape=self.get_shape(), dtype=int)
         mask_count = 0
         while mask_count != self.num_masking_patches:
             max_mask_patches = self.num_masking_patches - mask_count