1 files changed, 96 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/ReLU6.cpp b/compiler/locomotiv/src/Node/ReLU6.cpp
new file mode 100644
index 000000000..586c015fc
--- /dev/null
+++ b/compiler/locomotiv/src/Node/ReLU6.cpp
@@ -0,0 +1,96 @@
+/*
+ * Copyright (c) 2019 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 "NodeExecution.h"
+
+// TODO Remove deprecated code
+#if 0
+#include "NodeDataImpl.h"
+#include "NodeDomain.h"
+#include "Validation.h"
+
+#include <nncc/core/ADT/tensor/Shape.h>
+#include <nncc/core/ADT/tensor/Buffer.h>
+#include <nncc/core/ADT/tensor/IndexEnumerator.h>
+#include <nncc/core/ADT/tensor/LexicalLayout.h>
+
+using nncc::core::ADT::tensor::IndexEnumerator;
+using nncc::core::ADT::tensor::LexicalLayout;
+using nncc::core::ADT::tensor::make_buffer;
+
+#include <cassert>
+#include <stdexcept>
+#endif
+
+namespace
+{
+
+inline float relu6_ew(float val) { return val < 0.0f ? 0.0f : (val < 6.0f ? val : 6.0f); }
+
+} // namespace
+
+namespace locomotiv
+{
+
+void NodeExecution::execute(loco::ReLU6 *relu6)
+{
+// TODO Remove deprecated code
+#if 0
+  auto input_data = annot_data(relu6->input());
+
+  validate(input_data, "Input not ready");
+  validate(annot_domain(relu6->input()) != loco::Domain::Unknown,
+           "Input domain of ReLU is Unknown");
+
+  std::unique_ptr<NodeData> relu6_data = nullptr;
+
+  switch (input_data->dtype())
+  {
+    case loco::DataType::FLOAT32:
+    {
+      auto input_bufptr = input_data->as_f32_bufptr();
+      auto *shape = input_data->shape();
+      auto relu6_buf = make_buffer<float, LexicalLayout>(*shape);
+
+      for (IndexEnumerator e{*shape}; e.valid(); e.advance())
+      {
+        const auto &index = e.current();
+        relu6_buf.at(index) = relu6_ew(input_bufptr->at(index));
+      }
+
+      relu6_data = make_data(relu6_buf);
+      break;
+    }
+    default:
+      throw std::runtime_error("NYI for this DataType");
+  }
+
+  assert(relu6_data != nullptr);
+  annot_data(relu6, std::move(relu6_data));
+  annot_domain(relu6, annot_domain(relu6->input()));
+#endif
+
+  struct Func final : public UnaryFunc
+  {
+    float apply(float v) const final { return relu6_ew(v); }
+  };
+
+  Func f;
+
+  eltwise_unary(relu6, f);
+}
+
+} // namespace locomotiv