diff --git a/src/relay/pass/quantize/realize.cc b/src/relay/pass/quantize/realize.cc
index 4cf84f43e90b..84116e53347b 100644
--- a/src/relay/pass/quantize/realize.cc
+++ b/src/relay/pass/quantize/realize.cc
@@ -499,6 +499,9 @@ Expr AvgPoolRealize(const Call& ref_call,
 RELAY_REGISTER_OP("nn.avg_pool2d")
 .set_attr<FForwardRewrite>("FQRealizeRewrite", AvgPoolRealize);
 
+RELAY_REGISTER_OP("nn.global_avg_pool2d")
+.set_attr<FForwardRewrite>("FQRealizeRewrite", AvgPoolRealize);
+
 Expr CastHintRealize(const Call& ref_call,
                      const Array<Expr>& new_args,
                      const NodeRef& ctx) {
diff --git a/tests/python/relay/test_pass_auto_quantize.py b/tests/python/relay/test_pass_auto_quantize.py
new file mode 100644
index 000000000000..bda0f41d49c2
--- /dev/null
+++ b/tests/python/relay/test_pass_auto_quantize.py
@@ -0,0 +1,40 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import tvm
+from tvm import relay
+from tvm.relay import testing
+
+
+def test_mul_rewrite():
+    data = relay.var("data", shape=(1, 16, 64, 64))
+    conv = relay.nn.conv2d(data, relay.var("weight"),
+                           kernel_size=(3, 3),
+                           padding=(1, 1),
+                           channels=16)
+    act = relay.nn.relu(data=conv)
+    pool = relay.nn.global_avg_pool2d(data=act)
+    f = relay.Function(relay.analysis.free_vars(act), act * pool)
+    mod, params = testing.create_workload(f)
+
+    with relay.quantize.qconfig(skip_conv_layers=[]):
+        qmod = relay.quantize.quantize(mod, params)
+
+    relay.build(qmod, "llvm", params=params)
+
+
+if __name__ == "__main__":
+    test_mul_rewrite()