diff --git a/mindspore/ccsrc/dataset/engine/datasetops/source/sampler/random_sampler.cc b/mindspore/ccsrc/dataset/engine/datasetops/source/sampler/random_sampler.cc
index de8cde409f567614b6bfb971254aae9e38c936ee..e0efda6e535fce834447858f195c3797d1915a00 100644
--- a/mindspore/ccsrc/dataset/engine/datasetops/source/sampler/random_sampler.cc
+++ b/mindspore/ccsrc/dataset/engine/datasetops/source/sampler/random_sampler.cc
@@ -53,6 +53,7 @@ Status RandomSampler::InitSampler() {
   num_samples_ = (user_num_samples_ < num_samples_) ? user_num_samples_ : num_samples_;
   CHECK_FAIL_RETURN_UNEXPECTED(num_samples_ > 0 && num_rows_ > 0, "both num_samples & num_rows need to be positive");
   samples_per_buffer_ = samples_per_buffer_ > num_samples_ ? num_samples_ : samples_per_buffer_;
+  rnd_.seed(seed_++);
   if (replacement_ == false) {
     shuffled_ids_.reserve(num_rows_);
     for (int64_t i = 0; i < num_rows_; i++) {
@@ -62,7 +63,6 @@ Status RandomSampler::InitSampler() {
   } else {
     dist = std::make_unique<std::uniform_int_distribution<int64_t>>(0, num_rows_ - 1);
   }
-  rnd_.seed(seed_++);
   return Status::OK();
 }
 
diff --git a/tests/ut/python/dataset/test_datasets_celeba.py b/tests/ut/python/dataset/test_datasets_celeba.py
index 6b8859f433fcedc473c14f2f65d4c8dbcabb8618..11c5fcb67a78b96509646b2c7fa226cf22ae37c8 100644
--- a/tests/ut/python/dataset/test_datasets_celeba.py
+++ b/tests/ut/python/dataset/test_datasets_celeba.py
@@ -20,7 +20,7 @@ DATA_DIR = "../data/dataset/testCelebAData/"
 
 
 def test_celeba_dataset_label():
-    data = ds.CelebADataset(DATA_DIR, decode=True)
+    data = ds.CelebADataset(DATA_DIR, decode=True, shuffle=False)
     expect_labels = [
         [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 1,
          0, 0, 1],