diff --git a/test/torchaudio_unittest/sox_io_backend/load_test.py b/test/torchaudio_unittest/sox_io_backend/load_test.py
index f2a514ea61..c1004f7865 100644
--- a/test/torchaudio_unittest/sox_io_backend/load_test.py
+++ b/test/torchaudio_unittest/sox_io_backend/load_test.py
@@ -83,7 +83,7 @@ def assert_mp3(self, sample_rate, num_channels, bit_rate, duration):
         data_ref = load_wav(ref_path)[0]
         # 5. Compare
         assert sr == sample_rate
-        self.assertEqual(data, data_ref, atol=3e-03, rtol=1.3e-06)
+        self.assertEqual(data, data_ref, atol=5e-05, rtol=1.3e-06)
 
     def assert_flac(self, sample_rate, num_channels, compression_level, duration):
         """`sox_io_backend.load` can load flac format.
diff --git a/torchaudio/csrc/sox/utils.cpp b/torchaudio/csrc/sox/utils.cpp
index 1ac6dd3faf..b200eec55b 100644
--- a/torchaudio/csrc/sox/utils.cpp
+++ b/torchaudio/csrc/sox/utils.cpp
@@ -169,7 +169,7 @@ torch::Tensor convert_to_tensor(
   // So make sure to create a new copy after processing samples.
   if (normalize || dtype == torch::kFloat32) {
     t = t.to(torch::kFloat32);
-    t *= (t > 0) / 2147483647. + (t < 0) / 2147483648.;
+    t.divide_(2147483648);
   } else if (dtype == torch::kInt32) {
     t = t.clone();
   } else if (dtype == torch::kInt16) {