diff --git a/python/tvm/relay/transform/fake_quantization_to_integer.py b/python/tvm/relay/transform/fake_quantization_to_integer.py
index 6032dbf92d..0ed75191c4 100644
--- a/python/tvm/relay/transform/fake_quantization_to_integer.py
+++ b/python/tvm/relay/transform/fake_quantization_to_integer.py
@@ -87,6 +87,7 @@ def identity(expr, type_map):
 register_unary_identity("expand_dims")
 register_unary_identity("nn.max_pool2d")
 register_unary_identity("nn.batch_flatten")
+register_unary_identity("nn.depth_to_space")
 
 
 @register_fake_quantization_to_integer("nn.avg_pool2d")
diff --git a/tests/python/relay/test_pass_fake_quantization_to_integer.py b/tests/python/relay/test_pass_fake_quantization_to_integer.py
index 7ede17d07d..3680310b4f 100644
--- a/tests/python/relay/test_pass_fake_quantization_to_integer.py
+++ b/tests/python/relay/test_pass_fake_quantization_to_integer.py
@@ -501,3 +501,16 @@ def test_fake_quantize_pad():
     x_np = np.random.randint(-25, 25, size=[1, 383, 128], dtype="int8")
 
     compare_fq_to_int(op, [x_np])
+
+
+def test_fake_quantize_depth_to_space():
+    x = relay.var("x", shape=[1, 3, 224, 224], dtype="int8")
+
+    zero = relay.const(0)
+    x = relay.qnn.op.dequantize(x, relay.const(2.0), zero)
+    op = relay.op.nn.depth_to_space(x, 4)
+    op = relay.qnn.op.quantize(op, relay.const(2.0), zero)
+
+    x_np = np.random.randint(-128, 127, size=[1, 3, 224, 224], dtype="int8")
+
+    compare_fq_to_int(op, [x_np])