1 files changed, 113 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/kernel/MaxPoolLayer.cc b/runtime/onert/backend/cpu/kernel/MaxPoolLayer.cc
new file mode 100644
index 000000000..e35d5e92a
--- /dev/null
+++ b/runtime/onert/backend/cpu/kernel/MaxPoolLayer.cc
@@ -0,0 +1,113 @@
+/*
+ * Copyright (c) 2018 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 "MaxPoolLayer.h"
+
+#include <cker/operation/MaxPool.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace kernel
+{
+
+#define MAXPOOLING_PARAMETERS                            \
+  nnfw::cker::PoolParams op_params;                      \
+  op_params.stride_height = _strideHeight;               \
+  op_params.stride_width = _strideWidth;                 \
+  op_params.filter_height = _kernelHeight;               \
+  op_params.filter_width = _kernelWidth;                 \
+  op_params.padding_values.height = (int8_t)_paddingTop; \
+  op_params.padding_values.width = (int8_t)_paddingLeft;
+
+MaxPoolLayer::MaxPoolLayer()
+    : _input(nullptr), _output(nullptr), _paddingLeft(0), _paddingTop(0), _paddingRight(0),
+      _paddingBottom(0), _strideWidth(0), _strideHeight(0), _kernelWidth(0), _kernelHeight(0),
+      _activation(ir::Activation::NONE)
+{
+  // DO NOTHING
+}
+
+void MaxPoolLayer::maxPoolFloat32()
+{
+  MAXPOOLING_PARAMETERS
+  float output_activation_min, output_activation_max;
+  CalculateActivationRangeFloat(_activation, &output_activation_min, &output_activation_max);
+  op_params.float_activation_min = output_activation_min;
+  op_params.float_activation_max = output_activation_max;
+
+  nnfw::cker::MaxPool(op_params, convertTensorToCkerShape(_input),
+                      reinterpret_cast<const float *>(_input->buffer()),
+                      convertTensorToCkerShape(_output),
+                      reinterpret_cast<float *>(_output->buffer()));
+}
+void MaxPoolLayer::maxPoolQuant8()
+{
+  MAXPOOLING_PARAMETERS
+  int32_t output_activation_min = 0;
+  int32_t output_activation_max = 0;
+  CalculateActivationRangeUint8(_activation, _output, &output_activation_min,
+                                &output_activation_max);
+  op_params.quantized_activation_min = output_activation_min;
+  op_params.quantized_activation_max = output_activation_max;
+
+  nnfw::cker::MaxPool(op_params, convertTensorToCkerShape(_input),
+                      reinterpret_cast<const uint8_t *>(_input->buffer()),
+                      convertTensorToCkerShape(_output),
+                      reinterpret_cast<uint8_t *>(_output->buffer()));
+}
+
+void MaxPoolLayer::configure(const operand::Tensor *input, const uint32_t paddingLeft,
+                             const uint32_t paddingRight, const uint32_t paddingTop,
+                             const uint32_t paddingBottom, const uint32_t strideWidth,
+                             const uint32_t strideHeight, const uint32_t kernelWidth,
+                             const uint32_t kernelHeight, const ir::Activation activation,
+                             operand::Tensor *output)
+{
+  _input = input;
+  _paddingLeft = paddingLeft;
+  _paddingRight = paddingRight;
+  _paddingTop = paddingTop;
+  _paddingBottom = paddingBottom;
+  _strideWidth = strideWidth;
+  _strideHeight = strideHeight;
+  _kernelWidth = kernelWidth;
+  _kernelHeight = kernelHeight;
+  _activation = activation;
+  _output = output;
+}
+
+void MaxPoolLayer::run()
+{
+  if (_input->data_type() == OperandType::FLOAT32)
+  {
+    maxPoolFloat32();
+  }
+  else if (_input->data_type() == OperandType::QUANT8_ASYMM)
+  {
+    maxPoolQuant8();
+  }
+}
+
+#undef MAXPOOLING_PARAMETERS
+
+} // namespace kernel
+} // namespace cpu
+} // namespace backend
+} // namespace onert