diff --git a/src/gopt/impl/padding_channel.cpp b/src/gopt/impl/padding_channel.cpp
index 52a4368be8cd41a6dfe080b68b5dce82e2bb238f..9b1a71eb2639c47869143b3d03597157516d425f 100644
--- a/src/gopt/impl/padding_channel.cpp
+++ b/src/gopt/impl/padding_channel.cpp
@@ -558,7 +558,7 @@ void PaddingChannelPass::add_condition_padding_oprs_replace_func(LayoutTrans) {
             if (reduce->input().size() > 1) {
                 can_forward_padding = false;
             } else {
-                can_forward_padding = reduce->param().axis != 1;
+                can_forward_padding = axis != 1;
             }
         } else if (auto subtensor = opr->try_cast_final<opr::Subtensor>()) {
             auto indexs = subtensor->index_desc();
@@ -605,6 +605,7 @@ void PaddingChannelPass::add_nonpadding_oprs_replace_func(LayoutTrans) {
         return serialization::copy_opr_shallow(*opr, inps, opr->config());
     };
     m_opr_replace_funcs[opr::Reshape::typeinfo()] = replace_nonpadding_oprs;
+    m_opr_replace_funcs[opr::AxisAddRemove::typeinfo()] = replace_nonpadding_oprs;
     m_opr_replace_funcs[opr::GetVarShape::typeinfo()] = replace_nonpadding_oprs;
     m_opr_replace_funcs[opr::Concat::typeinfo()] = replace_nonpadding_oprs;
     m_opr_replace_funcs[opr::Dimshuffle::typeinfo()] = replace_nonpadding_oprs;
diff --git a/src/gopt/test/padding_channel.cpp b/src/gopt/test/padding_channel.cpp
index 67659ef004ac5d78b4013e3cf5da9aae87b5503a..697525b953c35982d32ae2de6c1bb0e54777325b 100644
--- a/src/gopt/test/padding_channel.cpp
+++ b/src/gopt/test/padding_channel.cpp
@@ -282,6 +282,85 @@ TEST(TestGoptInference, ChannelPaddingSubtensor) {
     MGB_ASSERT_TENSOR_NEAR(host_y, host_y_opt, 1e-2);
 }
 
+TEST(TestGoptInference, ChannelPaddingAxisAddRemove) {
+    HostTensorGenerator<> gen;
+    auto cn = CompNode::load("cpu0");
+    auto graph = ComputingGraph::make();
+    graph->options().graph_opt_level = 0;
+    auto mkcvar = [&](const char* name, const TensorShape& shp) {
+        return opr::SharedDeviceTensor::make(*graph, *gen(shp, cn)).rename(name);
+    };
+
+    auto host_x = gen({1, 3, 8, 8}, cn);
+    auto x = opr::Host2DeviceCopy::make(*graph, host_x);
+    //! Hybrid nchw44 mode
+    opr::ConvBias::Param param_conv;
+    param_conv.pad_h = param_conv.pad_w = 1;
+    auto w1 = mkcvar("w1", {8, 3, 3, 3}), b1 = mkcvar("w1", {1, 8, 1, 1}),
+         conv1 = opr::ConvBias::make(
+                 x, w1, b1, param_conv, {}, OperatorNodeConfig("conv1"));
+
+    auto w2 = mkcvar("w2", {1, 8, 1, 1}),
+         conv2 = opr::Convolution::make(conv1, w2, {}, {}, OperatorNodeConfig("conv2"));
+    auto remove_axis_1 = opr::AxisAddRemove::make(
+            conv2, {opr::AxisAddRemove::AxisDesc::make_remove(1)},
+            OperatorNodeConfig("remove_axis_1"));
+    auto add_axis_1 = opr::AxisAddRemove::make(
+            remove_axis_1, {opr::AxisAddRemove::AxisDesc::make_add(1)});
+    auto w3 = mkcvar("w3", {3, 1, 1, 1}),
+         conv3 = opr::Convolution::make(
+                 add_axis_1, w3, {}, {}, OperatorNodeConfig("conv3"));
+    auto remove_axis_0 = opr::AxisAddRemove::make(
+            conv3, {opr::AxisAddRemove::AxisDesc::make_remove(0)},
+            OperatorNodeConfig("remove_axis_0"));
+
+    SymbolVar y_pad;
+    unpack_vector(
+            gopt::GraphOptimizer{}
+                    .add_pass(gopt::PaddingChannelPass::make(
+                            cg::GraphCommonOptimizeOptions::LayoutTransform::NCHW44,
+                            true))
+                    .apply({{remove_axis_0}})
+                    .endpoint_vars(),
+            y_pad);
+    auto conv1_opt = find_opr<opr::ConvBias>(y_pad, "conv1");
+    auto conv2_opt = find_opr<opr::Convolution>(y_pad, "conv2");
+    auto remove_axis_1_opt = find_opr<opr::AxisAddRemove>(y_pad, "remove_axis_1");
+    auto conv3_opt = find_opr<opr::Convolution>(y_pad, "conv3");
+    auto remove_axis_0_opt = find_opr<opr::AxisAddRemove>(y_pad, "remove_axis_0");
+    //! do not padding input tensor
+    ASSERT_EQ(conv1_opt->input(0)->shape()[1], 3);
+    //! output tensor padding input tensor
+    ASSERT_EQ(conv2_opt->input(1)->shape()[0], 4);
+    ASSERT_EQ(conv2_opt->output(0)->shape()[1], 4);
+
+    //! AxisAddRemove always add subtensor
+    ASSERT_EQ(remove_axis_1_opt->input(0)->shape()[1], 1);
+
+    ASSERT_EQ(conv3_opt->input(1)->shape()[0], 4);
+    ASSERT_EQ(conv3_opt->output(0)->shape()[1], 4);
+
+    //! AxisAddRemove always add subtensor
+    ASSERT_EQ(remove_axis_0_opt->input(0)->shape()[1], 3);
+
+    graph->compile({{y_pad, {}}})
+            ->to_json()
+            ->writeto_fpath(
+                    output_file("TestGoptInference.ChannelPaddingAxisAddRemove.json"));
+
+    HostTensorND host_y_opt, host_y;
+    auto func = graph->compile(
+            {make_callback_copy(remove_axis_0, host_y),
+             make_callback_copy(y_pad, host_y_opt)});
+    func->execute();
+    MGB_ASSERT_TENSOR_NEAR(host_y, host_y_opt, 1e-2);
+
+    //! test change the input shape
+    *host_x = *gen({1, 3, 32, 32}, cn);
+    func->execute();
+    MGB_ASSERT_TENSOR_NEAR(host_y, host_y_opt, 1e-2);
+}
+
 TEST(TestGoptInference, ChannelPaddingReduce) {
     HostTensorGenerator<> gen;
     auto cn = CompNode::load("cpu0");