diff --git a/imperative/src/impl/ops/tensor_manip.cpp b/imperative/src/impl/ops/tensor_manip.cpp
index 7123e13c62425d382158b7f669d27fa473cd553c..98d1c7b26b5382230c160736fc8686804dc24d22 100644
--- a/imperative/src/impl/ops/tensor_manip.cpp
+++ b/imperative/src/impl/ops/tensor_manip.cpp
@@ -20,22 +20,30 @@ namespace {
 cg::OperatorNodeBase* apply_on_var_node(
         const OpDef& def,
         const VarNodeArray& inputs) {
-    def.cast_final_safe<GetVarShape>();
-    return opr::GetVarShape::make(inputs).node()->owner_opr();
+    auto&& op_def = def.cast_final_safe<GetVarShape>();
+    return opr::GetVarShape::make(inputs, op_def.param()).node()->owner_opr();
 }
 
 SmallVector<TensorPtr> apply_on_physical_tensor(
         const OpDef& def,
         const SmallVector<TensorPtr>& inputs) {
-    def.cast_final_safe<GetVarShape>();
+    auto&& op_def = def.cast_final_safe<GetVarShape>();
     mgb_assert(inputs.size() == 1, "GetVarShape take 1 input, got %lu", inputs.size());
     auto&& inp = inputs[0];
     auto&& shp = inp->layout();
     mgb_assert(shp.ndim != 0, "input shape invalid");
-    HostTensorND hv(inp->comp_node(), {shp.ndim}, dtype::Int32());
-    auto* ptr = hv.ptr<dt_int32>();
-    for (size_t i = 0; i < shp.ndim; ++i) {
-        ptr[i] = shp.shape[i];
+    HostTensorND hv;
+    if (op_def.axis == opr::GetVarShape::Param::INVALID_AXIS){
+        hv = HostTensorND(inp->comp_node(), {shp.ndim}, dtype::Int32());
+        auto* ptr = hv.ptr<dt_int32>();
+        for (size_t i = 0; i < shp.ndim; ++i) {
+            ptr[i] = shp.shape[i];
+        }
+    }else{
+        mgb_assert(op_def.axis < shp.ndim);
+        hv = HostTensorND(inp->comp_node(), {1}, dtype::Int32());
+        auto* ptr = hv.ptr<dt_int32>();
+        ptr[0] = shp.shape[op_def.axis];
     }
     return {Tensor::make(std::move(hv))};
 }
@@ -43,29 +51,31 @@ SmallVector<TensorPtr> apply_on_physical_tensor(
 std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
         const OpDef& def,
         const SmallVector<LogicalTensorDesc>& inputs) {
-    def.cast_final_safe<GetVarShape>();
+    auto&& op_def = def.cast_final_safe<GetVarShape>();
     mgb_assert(inputs.size() == 1, "GetVarShape take 1 input, got %lu", inputs.size());
     auto&& desc = inputs[0];
     if (!desc.layout.ndim) {
         return {{{TensorLayout(dtype::Int32()), desc.comp_node}}, true};
     }
-    DeviceTensorND value(CompNode::default_cpu(), {desc.layout.ndim}, dtype::Int32());
-    auto* ptr = value.ptr<dt_int32>();
-    for (size_t i = 0; i < desc.layout.ndim; ++i) {
-        ptr[i] = desc.layout[i];
+    DeviceTensorND value;
+    if (op_def.axis == opr::GetVarShape::Param::INVALID_AXIS){
+        value = DeviceTensorND(CompNode::default_cpu(), {desc.layout.ndim}, dtype::Int32());
+        auto* ptr = value.ptr<dt_int32>();
+        for (size_t i = 0; i < desc.layout.ndim; ++i) {
+            ptr[i] = desc.layout[i];
+        }
+    }else{
+        mgb_assert(op_def.axis < desc.layout.ndim);
+        value = DeviceTensorND(CompNode::default_cpu(), {1}, dtype::Int32());
+        auto* ptr = value.ptr<dt_int32>();
+        ptr[0] = desc.layout[op_def.axis];
     }
     return {{{value.layout(), desc.comp_node, std::move(value)}}, true};
 }
 
 std::shared_ptr<OpDef> make_from_op_node(cg::OperatorNodeBase* node_) {
     auto* node = &node_->cast_final_safe<opr::GetVarShape>();
-    if (node->config().comp_node().size() ||
-            node->config().output_dtype().valid() ||
-            node->param().axis != opr::GetVarShape::Param::INVALID_AXIS) {
-        mgb_log_debug("weird GetVarShape");
-        return OpTrait::find_by_typeinfo(OprAttr::typeinfo())->make_from_op_node(node);
-    }
-    return GetVarShape::make();
+    return GetVarShape::make(node->param());
 }
 
 OP_TRAIT_REG(GetVarShape, GetVarShape, opr::GetVarShape)
diff --git a/src/core/include/megbrain/ir/ops.td b/src/core/include/megbrain/ir/ops.td
index c96d3cda877909d21b6dca65f21528432be73f47..9d8a54d0c133c47e0ffa115ae19bc96b9d8f775a 100644
--- a/src/core/include/megbrain/ir/ops.td
+++ b/src/core/include/megbrain/ir/ops.td
@@ -122,7 +122,7 @@ def Eye: MgbHashableOp<"Eye", [EyeParam]> {
   );
 }
 
-def GetVarShape : MgbHashableOp<"GetVarShape">;
+def GetVarShape : MgbHashableOp<"GetVarShape", [OptionalAxisV1Param]>;
 
 def Concat: MgbHashableOp<"Concat", [AxisParam]> {
   let extraArguments = (ins