diff --git a/src/tim/transform/ops/l2normalization_layout_inference.h b/src/tim/transform/ops/l2normalization_layout_inference.h
index dac6404..00148ed 100644
--- a/src/tim/transform/ops/l2normalization_layout_inference.h
+++ b/src/tim/transform/ops/l2normalization_layout_inference.h
@@ -42,7 +42,7 @@ class L2NormalizationLayoutInfer : public OpLayoutInfer {
     auto input_pv = context_->GetPermuteVector(src_input);
 
     int32_t axis =
-        MapAxis(input_pv->AsStdVec(), op_->impl()->node()->nn_param.lrn.axis);
+        MapAxis(input_pv->AsStdVec(), op_->impl()->node()->nn_param.l2_normalize.axis);
 
     auto l2norm =
         context_->infer_graph_->CreateOperation<vx::ops::L2Normalization>(axis);
diff --git a/src/tim/vx/ops/l2normalization_test.cc b/src/tim/vx/ops/l2normalization_test.cc
new file mode 100644
index 0000000..3d139e7
--- /dev/null
+++ b/src/tim/vx/ops/l2normalization_test.cc
@@ -0,0 +1,56 @@
+/****************************************************************************
+*
+*    Copyright (c) 2020-2023 Vivante Corporation
+*
+*    Permission is hereby granted, free of charge, to any person obtaining a
+*    copy of this software and associated documentation files (the "Software"),
+*    to deal in the Software without restriction, including without limitation
+*    the rights to use, copy, modify, merge, publish, distribute, sublicense,
+*    and/or sell copies of the Software, and to permit persons to whom the
+*    Software is furnished to do so, subject to the following conditions:
+*
+*    The above copyright notice and this permission notice shall be included in
+*    all copies or substantial portions of the Software.
+*
+*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+*    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+*    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+*    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+*    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+*    DEALINGS IN THE SOFTWARE.
+*
+*****************************************************************************/
+#include "tim/vx/context.h"
+#include "tim/vx/graph.h"
+#include "tim/vx/ops/l2normalization.h"
+#include "test_utils.h"
+#include "gtest/gtest.h"
+
+TEST(L2Norm, axis_1_shape_2_3_float) {
+    auto ctx = tim::vx::Context::Create();
+    auto graph = ctx->CreateGraph();
+
+    tim::vx::ShapeType io_shape({2,3});
+    tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
+                            io_shape, tim::vx::TensorAttribute::INPUT);
+    tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
+                            io_shape, tim::vx::TensorAttribute::OUTPUT);
+
+    auto input_tensor = graph->CreateTensor(input_spec);
+    auto output_tensor = graph->CreateTensor(output_spec);
+
+    std::vector<float> in_data = {0.0f, 3.0f, 3.0f, 0.0f, 4.0f, 4.0f};
+    std::vector<float> golden = {0.0f, 0.6f, 0.6f, 0.0f, 0.8f, 0.8f};
+
+    EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
+    auto op = graph->CreateOperation<tim::vx::ops::L2Normalization>(1);
+    (*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
+
+    EXPECT_TRUE(graph->Compile());
+    EXPECT_TRUE(graph->Run());
+
+    std::vector<float> output(6);
+    EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
+    EXPECT_TRUE(ArraysMatch(golden, output, 1e-5f));
+}
\ No newline at end of file