1 files changed, 76 insertions, 0 deletions
diff --git a/onert-micro/luci-interpreter/src/kernels/Relu6.cpp b/onert-micro/luci-interpreter/src/kernels/Relu6.cpp
new file mode 100644
index 000000000..718622858
--- /dev/null
+++ b/onert-micro/luci-interpreter/src/kernels/Relu6.cpp
@@ -0,0 +1,76 @@
+/*
+ * 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 "Builders.h"
+#include "kernels/Utils.h"
+#include "SISOKernel.h"
+
+#include "PALReluCommon.h"
+
+namespace luci_interpreter
+{
+
+void configure_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
+{
+  kernels::SISOKernel kernel(cur_op, runtime_graph);
+
+  LUCI_INTERPRETER_CHECK(Tensor::element_type(kernel.input()) ==
+                         Tensor::element_type(kernel.output()));
+  LUCI_INTERPRETER_CHECK(Tensor::num_dims(kernel.input()) == Tensor::num_dims(kernel.output()));
+  LUCI_INTERPRETER_CHECK(Tensor::num_elements(kernel.input()) ==
+                         Tensor::num_elements(kernel.output()));
+}
+
+void execute_kernel_CircleRelu6(const circle::Operator *cur_op, BaseRuntimeGraph *runtime_graph)
+{
+  kernels::SISOKernel kernel(cur_op, runtime_graph);
+
+  const auto *input_data = runtime_graph->getDataByTensor(kernel.input());
+  assert(input_data);
+
+  auto *output_data = runtime_graph->getDataByTensor(kernel.output());
+
+  bool is_inplace = runtime_graph->is_inplace_op(cur_op);
+
+  switch (Tensor::element_type(kernel.input()))
+  {
+#ifndef DIS_FLOAT
+    case DataType::FLOAT32:
+    {
+      const float *input_data_float = kernels::getTensorData<float>(input_data);
+      float *output_data_float = kernels::getTensorData<float>(output_data);
+      if (is_inplace)
+      {
+        output_data_float = const_cast<float *>(input_data_float);
+      }
+
+      assert(output_data_float);
+      const int flat_size =
+        kernels::getTensorRuntimeShape(kernel.input(), runtime_graph).flatSize();
+
+      luci_interpreter_pal::ReLUCommon(flat_size, input_data_float, output_data_float, 0.0f, true);
+      break;
+    }
+#endif // DIS_FLOAT
+    default:
+      assert(false && "Unsupported type");
+  }
+
+  if (is_inplace)
+    runtime_graph->makeInplaceOperation(kernel.input(), kernel.output());
+}
+
+} // namespace luci_interpreter