diff --git a/scico/test/test_numpy_util.py b/scico/test/test_numpy_util.py
index be1c9f5ab..faab01dc5 100644
--- a/scico/test/test_numpy_util.py
+++ b/scico/test/test_numpy_util.py
@@ -1,16 +1,10 @@
-import warnings
-
 import numpy as np
 
-import jax.numpy as jnp
-
 import pytest
 
 import scico.numpy as snp
-from scico.numpy import BlockArray
 from scico.numpy.util import (
     complex_dtype,
-    ensure_on_device,
     indexed_shape,
     is_complex_dtype,
     is_nested,
@@ -24,31 +18,6 @@
 from scico.random import randn
 
 
-def test_ensure_on_device():
-    # Used to restore the warnings after the context is used
-    with warnings.catch_warnings():
-        # Ignores warning raised by ensure_on_device
-        warnings.filterwarnings(action="ignore", category=UserWarning)
-
-        NP = np.ones(2)
-        SNP = snp.ones(2)
-        BA = snp.blockarray([NP, SNP])
-        NP_, SNP_, BA_ = ensure_on_device(NP, SNP, BA)
-
-        assert isinstance(NP_, jnp.ndarray)
-
-        assert isinstance(SNP_, jnp.ndarray)
-        assert SNP.unsafe_buffer_pointer() == SNP_.unsafe_buffer_pointer()
-
-        assert isinstance(BA_, BlockArray)
-        assert isinstance(BA_[0], jnp.ndarray)
-        assert isinstance(BA_[1], jnp.ndarray)
-        assert BA[1].unsafe_buffer_pointer() == BA_[1].unsafe_buffer_pointer()
-
-        NP_ = ensure_on_device(NP)
-        assert isinstance(NP_, jnp.ndarray)
-
-
 def test_no_nan_divide_array():
     x, key = randn((4,), dtype=np.float32)
     y, key = randn(x.shape, dtype=np.float32, key=key)