diff --git a/quimb/tensor/tensor_approx_spectral.py b/quimb/tensor/tensor_approx_spectral.py
index 802ec803..b5ab33b8 100644
--- a/quimb/tensor/tensor_approx_spectral.py
+++ b/quimb/tensor/tensor_approx_spectral.py
@@ -36,7 +36,7 @@ def construct_lanczos_tridiag_MPO(A, K, v0=None, initial_bond_dim=None,
     bsz = A.phys_dim()**A.L
     beta[1] = bsz  # == sqrt(prod(A.shape))
 
-    compress_kws = {'max_bond': max_bond, 'method': 'svd'}
+    compress_kws = {'max_bond': max_bond, 'method': 'svd', "renorm": True}
 
     for j in range(1, K + 1):
 
diff --git a/tests/test_tensor/test_belief_propagation/test_l2bp.py b/tests/test_tensor/test_belief_propagation/test_l2bp.py
index e669d3b8..3800bbec 100644
--- a/tests/test_tensor/test_belief_propagation/test_l2bp.py
+++ b/tests/test_tensor/test_belief_propagation/test_l2bp.py
@@ -80,7 +80,7 @@ def test_compress_double_layer_loopy(dtype, damping, update):
     # compress using basic local compression
     tn_eager = qtn.tensor_network_apply_op_vec(pepo, peps, contract=True)
     assert tn_eager.num_tensors == 12
-    tn_eager.compress_all_(max_bond=3)
+    tn_eager.compress_all_(max_bond=3, canonize=False)
     fid_basic = abs(tn_eager.H @ tn_lazy)
 
     # compress using BP
diff --git a/tests/test_tensor/test_tensor_1d.py b/tests/test_tensor/test_tensor_1d.py
index 0270f53f..a40681ec 100644
--- a/tests/test_tensor/test_tensor_1d.py
+++ b/tests/test_tensor/test_tensor_1d.py
@@ -298,9 +298,9 @@ def test_compress_mps_right(self):
     def test_compress_trim_max_bond(self, method):
         p0 = MPS_rand_state(20, 20)
         p = p0.copy()
-        p.compress(method=method)
+        p.compress(method=method, renorm=True)
         assert max(p["I4"].shape) == 20
-        p.compress(max_bond=13, method=method)
+        p.compress(max_bond=13, method=method, renorm=True)
         assert max(p["I4"].shape) == 13
         assert_allclose(p.H @ p, p0.H @ p0)
 
diff --git a/tests/test_tensor/test_tensor_core.py b/tests/test_tensor/test_tensor_core.py
index 7725c309..e86fda2a 100644
--- a/tests/test_tensor/test_tensor_core.py
+++ b/tests/test_tensor/test_tensor_core.py
@@ -525,22 +525,30 @@ def test_renorm(self, method):
         assert fn2 == pytest.approx(385.0)
         assert trc == pytest.approx(55.0)
 
-        tn2 = t.split("a", method="svd", cutoff=0.1, cutoff_mode="rsum2")
+        tn2 = t.split(
+            "a", method="svd", cutoff=0.1, renorm=True, cutoff_mode="rsum2"
+        )
         a_fn2 = tn2.H @ tn2
         assert qtn.bonds_size(*tn2) == 6
         assert a_fn2 == pytest.approx(fn2)
 
-        tn2 = t.split("a", method="svd", cutoff=40, cutoff_mode="sum2")
+        tn2 = t.split(
+            "a", method="svd", cutoff=40, renorm=True, cutoff_mode="sum2"
+        )
         a_fn2 = tn2.H @ tn2
         assert qtn.bonds_size(*tn2) == 6
         assert a_fn2 == pytest.approx(fn2)
 
-        tn1 = t.split("a", method="svd", cutoff=0.2, cutoff_mode="rsum1")
+        tn1 = t.split(
+            "a", method="svd", cutoff=0.2, renorm=True, cutoff_mode="rsum1"
+        )
         a_trc = tn1.trace("a", "b").real
         assert qtn.bonds_size(*tn1) == 6
         assert a_trc == pytest.approx(trc)
 
-        tn1 = t.split("a", method="svd", cutoff=11, cutoff_mode="sum1")
+        tn1 = t.split(
+            "a", method="svd", cutoff=11, renorm=True, cutoff_mode="sum1"
+        )
         a_trc = tn1.trace("a", "b").real
         assert qtn.bonds_size(*tn1) == 6
         assert a_trc == pytest.approx(trc)
@@ -1450,7 +1458,7 @@ def test_compress_between(self, method):
         B.expand_ind("d", 10)
         tn = A | B
         assert A.shared_bond_size(B) == 10
-        tn.compress_between("T1", "T2", method=method)
+        tn.compress_between("T1", "T2", method=method, mode="basic")
         assert A.shared_bond_size(B) == 5
 
     @pytest.mark.parametrize("method", ["svd", "eig", "isvd", "svds", "rsvd"])
@@ -1458,7 +1466,7 @@ def test_compress_all(self, method):
         k = MPS_rand_state(10, 7)
         k += k
         k /= 2
-        k.compress_all_(max_bond=7, method=method)
+        k.compress_all_(max_bond=7, method=method, mode="basic")
         assert k.max_bond() == 7
         assert_allclose(k.H @ k, 1.0)