feat(opr): add param(axis) for GetVarShape

feat(mge/imperative): GetVarShape support negative axis

GitOrigin-RevId: 30ce0758e66285e984de0bb410759032653cf20a

imperative/src/impl/ops/tensor_manip.cpp

@@ -40,10 +40,14 @@ SmallVector<TensorPtr> apply_on_physical_tensor(
             ptr[i] = shp.shape[i];
         }
     }else{
-        mgb_assert(op_def.axis < shp.ndim);
+        int32_t axis = op_def.axis;
+        if (axis < 0) {
+            axis += shp.ndim;
+        }
+        mgb_assert(axis >= 0 && axis < (int32_t)shp.ndim);
         hv = HostTensorND(inp->comp_node(), {1}, dtype::Int32());
         auto* ptr = hv.ptr<dt_int32>();
-        ptr[0] = shp.shape[op_def.axis];
+        ptr[0] = shp.shape[axis];
     }
     return {Tensor::make(std::move(hv))};
 }
@@ -65,10 +69,14 @@ std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
             ptr[i] = desc.layout[i];
         }
     }else{
-        mgb_assert(op_def.axis < desc.layout.ndim);
+        int32_t axis = op_def.axis;
+        if (axis < 0) {
+            axis += desc.layout.ndim;
+        }
+        mgb_assert(axis >= 0 && axis < (int32_t)desc.layout.ndim);
         value = DeviceTensorND(CompNode::default_cpu(), {1}, dtype::Int32());
         auto* ptr = value.ptr<dt_int32>();
-        ptr[0] = desc.layout[op_def.axis];
+        ptr[0] = desc.layout[axis];
     }
     return {{{value.layout(), desc.comp_node, std::move(value)}}, true};
 }