1 files changed, 71 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/TanhLayer.cc b/runtime/onert/backend/cpu/kernel/TanhLayer.cc
new file mode 100644
index 000000000..6a9274f7a
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/TanhLayer.cc
@@ -0,0 +1,71 @@
+/*
+ * 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 "TanhLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/Tanh.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+TanhLayer::TanhLayer() : _input(nullptr), _output(nullptr)
+{
+  // DO NOTHING
+}
+
+void TanhLayer::tanhFloat32()
+{
+  nnfw::cker::Tanh(convertTensorToCkerShape(_input),
+                   reinterpret_cast<const float *>(_input->buffer()),
+                   convertTensorToCkerShape(_output), reinterpret_cast<float *>(_output->buffer()));
+}
+
+void TanhLayer::tanhQuant8()
+{
+  // cker quant8 tanh is not implemented yet
+  throw std::runtime_error{"NYI"};
+}
+
+void TanhLayer::configure(const operand::Tensor *input, operand::Tensor *output)
+{
+  _input = input;
+  _output = output;
+}
+
+void TanhLayer::run()
+{
+  if (_input->data_type() == OperandType::FLOAT32)
+  {
+    tanhFloat32();
+  }
+  else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+  {
+    tanhQuant8();
+  }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert