1 files changed, 104 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/UnpackLayer.cc b/runtime/onert/backend/cpu/kernel/UnpackLayer.cc
new file mode 100644
index 000000000..fe07e3e19
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/UnpackLayer.cc
@@ -0,0 +1,104 @@
+/*
+ * 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 "UnpackLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/Unpack.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+UnpackLayer::UnpackLayer() : _input(nullptr), _outputs(), _axis(0), _num_output(0)
+{
+  // DO NOTHING
+}
+
+void UnpackLayer::unpackFloat32()
+{
+  nnfw::cker::UnpackParams op_params;
+  op_params.axis = _axis;
+  op_params.num_split = _num_output;
+
+  std::vector<nnfw::cker::Shape *> outputDimsPtr;
+  std::vector<nnfw::cker::Shape> outputDims;
+  outputDimsPtr.reserve(_num_output);
+  outputDims.reserve(_num_output);
+
+  for (int32_t i = 0; i < _num_output; i++)
+  {
+    outputDims.push_back(convertTensorToCkerShape(_outputs[i]));
+    outputDimsPtr.push_back(&outputDims[i]);
+  }
+
+  std::vector<float *> outputFloatPtrs;
+
+  for (const auto output : _outputs)
+  {
+    outputFloatPtrs.emplace_back(reinterpret_cast<float *>(output->buffer()));
+  }
+
+  nnfw::cker::Unpack<float>(op_params, convertTensorToCkerShape(_input),
+                            reinterpret_cast<float *>(_input->buffer()),
+                            convertTensorToCkerShape(_outputs[0]), outputFloatPtrs.data());
+}
+
+void UnpackLayer::unpackQuant8()
+{
+  // cker quant8 pack is not implemented yet
+  throw std::runtime_error{"Unpack: NYI quant8 type"};
+}
+
+void UnpackLayer::configure(const operand::Tensor *input, uint32_t axis, int32_t num,
+                            std::vector<operand::Tensor *> &outputs)
+{
+  assert(input != nullptr);
+  assert(outputs.size() > 0);
+  assert(outputs.size() == (size_t)num);
+
+  _input = input;
+  _axis = axis;
+  _num_output = num;
+  _outputs = outputs;
+}
+
+void UnpackLayer::run()
+{
+  if (_input->data_type() == OperandType::FLOAT32)
+  {
+    unpackFloat32();
+  }
+  else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+  {
+    unpackQuant8();
+  }
+  else
+  {
+    throw std::runtime_error{"Unpack: Unsupported input type"};
+  }
+}
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert