1 files changed, 65 insertions, 0 deletions
diff --git a/compiler/luci-interpreter/src/kernels/LocalResponseNormalization.cpp b/compiler/luci-interpreter/src/kernels/LocalResponseNormalization.cpp
new file mode 100644
index 000000000..08efa1d6a
--- /dev/null
+++ b/compiler/luci-interpreter/src/kernels/LocalResponseNormalization.cpp
@@ -0,0 +1,65 @@
+/*
+ * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed 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.
+ */
+
+#include "kernels/LocalResponseNormalization.h"
+
+#include "kernels/Utils.h"
+
+#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
+
+#include <stdexcept>
+
+namespace luci_interpreter
+{
+
+namespace kernels
+{
+
+LocalResponseNormalization::LocalResponseNormalization(
+    const Tensor *input, Tensor *output, const LocalResponseNormalizationParams &params)
+    : KernelWithParams<LocalResponseNormalizationParams>({input}, {output}, params)
+{
+}
+
+void LocalResponseNormalization::configure()
+{
+  assert(input()->shape().num_dims() == 4);
+  assert(output()->element_type() == DataType::FLOAT32);
+  assert(input()->element_type() == output()->element_type());
+  output()->resize(input()->shape());
+}
+
+void LocalResponseNormalization::execute() const
+{
+  switch (output()->element_type())
+  {
+    case DataType::FLOAT32:
+      tflite::LocalResponseNormalizationParams op_params;
+      op_params.range = params().radius;
+      op_params.bias = params().bias;
+      op_params.alpha = params().alpha;
+      op_params.beta = params().beta;
+      tflite::optimized_ops::LocalResponseNormalization(
+          op_params, getTensorShape(input()), getTensorData<float>(input()),
+          getTensorShape(output()), getTensorData<float>(output()));
+      break;
+    default:
+      throw std::runtime_error("Unsupported type.");
+  }
+}
+
+} // namespace kernels
+} // namespace luci_interpreter