diff --git a/tests/operators/test_cutlass_scaled_mm.py b/tests/operators/test_cutlass_scaled_mm.py
index d158d115d..f71d9d3ef 100644
--- a/tests/operators/test_cutlass_scaled_mm.py
+++ b/tests/operators/test_cutlass_scaled_mm.py
@@ -67,8 +67,8 @@ class Test(unittest.TestCase):
             baseline = paddle.add(baseline, bias)
         out_type = a.dtype
         c = cutlass_scaled_mm(a_q, b_q, a_scales, b_scales, out_type, bias)
-        euqal = np.allclose(baseline.numpy(), c.numpy(), rtol=1e-2, atol=1e-2)
-        print(euqal)  #
+        equal = np.allclose(baseline.numpy(), c.numpy(), rtol=1e-2, atol=1e-2)
+        print(equal)  #
 
     def test_cutlass_scaled_mm_int8(self):
         """
@@ -90,8 +90,8 @@ class Test(unittest.TestCase):
             baseline = paddle.add(baseline, bias)
         out_type = a.dtype
         c = cutlass_scaled_mm(a_q, b_q, a_scales, b_scales, out_type, bias)
-        euqal = np.allclose(baseline.numpy(), c.numpy(), rtol=1e-2, atol=1e-2)
-        print(euqal)  #
+        equal = np.allclose(baseline.numpy(), c.numpy(), rtol=1e-2, atol=1e-2)
+        print(equal)  #
 
 
 if __name__ == "__main__":
diff --git a/tests/operators/test_w4afp8_gemm.py b/tests/operators/test_w4afp8_gemm.py
index 66ec408df..29459ddf3 100644
--- a/tests/operators/test_w4afp8_gemm.py
+++ b/tests/operators/test_w4afp8_gemm.py
@@ -30,10 +30,10 @@ class TestW4AFP8GEMM(unittest.TestCase):
         self.TokenPadding = 0
 
         tokens = [self.tokens_per_group] * self.BATCH
-        self.tokens_perfix_sum = np.cumsum(tokens)
+        self.tokens_prefix_sum = np.cumsum(tokens)
 
         self.tokens = paddle.to_tensor(tokens, dtype="int64")
-        self.tokens_perfix_sum = paddle.to_tensor(self.tokens_perfix_sum, dtype="int64")
+        self.tokens_prefix_sum = paddle.to_tensor(self.tokens_prefix_sum, dtype="int64")
         self.all_tokens = int(self.tokens.sum())
 
         self.input_fp8 = paddle.randn([self.all_tokens, self.K], dtype="bfloat16").astype(paddle.float8_e4m3fn)
@@ -81,7 +81,7 @@ class TestW4AFP8GEMM(unittest.TestCase):
             out_cuda = w4afp8_gemm(
                 self.input_fp8,
                 weight_int4.cuda(),
-                self.tokens_perfix_sum,
+                self.tokens_prefix_sum,
                 self.input_row_sum.astype("float32"),
                 weight_dequant_scale.astype("float32"),
                 int(self.TokenPadding),
diff --git a/tests/operators/test_wfp8afp8_sparse_gemm.py b/tests/operators/test_wfp8afp8_sparse_gemm.py
index e1cc51fef..99e83dd45 100644
--- a/tests/operators/test_wfp8afp8_sparse_gemm.py
+++ b/tests/operators/test_wfp8afp8_sparse_gemm.py
@@ -109,11 +109,11 @@ class TestWFp8Afp8SparseGemm(unittest.TestCase):
         TokenPadding = 0
 
         tokens = [tokens_per_group] * BATCH
-        tokens_perfix_sum = np.cumsum(tokens)
-        tokens_perfix_sum = np.insert(tokens_perfix_sum, 0, 0)
+        tokens_prefix_sum = np.cumsum(tokens)
+        tokens_prefix_sum = np.insert(tokens_prefix_sum, 0, 0)
 
         tokens = paddle.to_tensor(tokens, dtype="int32")
-        tokens_perfix_sum = paddle.to_tensor(tokens_perfix_sum, dtype="int32")
+        tokens_prefix_sum = paddle.to_tensor(tokens_prefix_sum, dtype="int32")
 
         all_tokens = int(tokens.sum())
 
@@ -148,7 +148,7 @@ class TestWFp8Afp8SparseGemm(unittest.TestCase):
             input_fp8,
             convert_sparse_idx,
             pack_weight.reshape([BATCH, N, K // 2]),
-            tokens_perfix_sum if TokenPadding == 0 else tokens,
+            tokens_prefix_sum if TokenPadding == 0 else tokens,
             1 / weight_scale,
             out_pd,
             int(TokenPadding),