Introduce ReduceMin in PACL (#3729)

This patch introduces ReduceMin in PACL.
Related issue: #3459

Signed-off-by: prasannar <prasanna.r@samsung.com>

diff --git a/runtimes/pure_arm_compute/src/compilation.cc b/runtimes/pure_arm_compute/src/compilation.cc
index 885b803..00e88e0 100644 (file)
--- a/runtimes/pure_arm_compute/src/compilation.cc
+++ b/runtimes/pure_arm_compute/src/compilation.cc
@@ -531,6 +531,7 @@ public:
   void visit(const ::internal::tflite::op::Softmax::Node &node) override;
   void visit(const ::internal::tflite::op::StridedSlice::Node &node) override;
   void visit(const ::internal::tflite::op::ReduceMax::Node &node) override;
+  void visit(const ::internal::tflite::op::ReduceMin::Node &node) override;
   void visit(const ::internal::tflite::op::Cast::Node &node) override;
   void visit(const ::internal::tflite::op::TopKV2::Node &node) override;
   void visit(const ::internal::tflite::op::Gather::Node &node) override;
@@ -2551,6 +2552,13 @@ void Planner::visit(const ::internal::tflite::op::StridedSlice::Node &node)
   _builder.addStage(stage);
 }
 
+void Planner::visit(const ::internal::tflite::op::ReduceMin::Node &node)
+{
+  VERBOSE(ReduceMin) << "Configure REDUCEMIN operation" << std::endl;
+
+  throw std::runtime_error("Not supported, yet");
+}
+
 void Planner::visit(const ::internal::tflite::op::ReduceMax::Node &node)
 {
   VERBOSE(ReduceMax) << "Configure REDUCEMAX operation" << std::endl;

diff --git a/runtimes/pure_arm_compute/src/internal/op/NodeVisitor.h b/runtimes/pure_arm_compute/src/internal/op/NodeVisitor.h
index 3ff95e5..2d76c14 100644 (file)
--- a/runtimes/pure_arm_compute/src/internal/op/NodeVisitor.h
+++ b/runtimes/pure_arm_compute/src/internal/op/NodeVisitor.h
@@ -40,6 +40,7 @@
 #include "internal/op/FullyConnected.h"
 #include "internal/op/Softmax.h"
 #include "internal/op/ReduceMax.h"
+#include "internal/op/ReduceMin.h"
 #include "internal/op/Cast.h"
 #include "internal/op/TopKV2.h"
 #include "internal/op/Gather.h"
@@ -224,6 +225,12 @@ struct NodeVisitor
    */
   virtual void visit(const ReduceMax::Node &) = 0;
   /**
+   * @brief Visit a ReduceMin node
+   * @param[in] node ReduceMin node to visit
+   * @return N/A
+   */
+  virtual void visit(const ReduceMin::Node &) = 0;
+  /**
    * @brief Visit a Cast node
    * @param[in] node Cast node to visit
    * @return N/A

diff --git a/runtimes/pure_arm_compute/src/internal/op/ReduceMin.cc b/runtimes/pure_arm_compute/src/internal/op/ReduceMin.cc
new file mode 100644 (file)
index 0000000..72b6079
--- /dev/null
+++ b/runtimes/pure_arm_compute/src/internal/op/ReduceMin.cc
@@ -0,0 +1,65 @@
+/*
+ * 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 "internal/op/ReduceMin.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace ReduceMin
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace ReduceMin
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace ReduceMin
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+             const uint32_t *outputs)
+{
+  assert(inputCount == 2 && outputCount == 1);
+
+  ofm_index = outputs[0];
+
+  // Each input should be interpreted as follows:
+  //
+  //  0 -> Input Tensor Index
+  //  1 -> Axis Tensor Index
+  ifm_index = inputs[0];
+  axis_index = inputs[1];
+}
+
+} // namespace ReduceMin
+} // namespace op
+} // namespace tflite
+} // namespace internal

diff --git a/runtimes/pure_arm_compute/src/internal/op/ReduceMin.h b/runtimes/pure_arm_compute/src/internal/op/ReduceMin.h
new file mode 100644 (file)
index 0000000..5dd82ec
--- /dev/null
+++ b/runtimes/pure_arm_compute/src/internal/op/ReduceMin.h
@@ -0,0 +1,107 @@
+/*
+ * 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.
+ */
+
+/**
+ * @file    ReduceMin.h
+ * @ingroup COM_AI_RUNTIME
+ * @brief   This file defines internal::tflite::op::ReduceMin::Param struct
+ *          and internal::tflite::op::ReduceMin::Node class
+ */
+#ifndef __INTERNAL_OP_REDUCEMIN_H__
+#define __INTERNAL_OP_REDUCEMIN_H__
+
+#include "internal/op/Node.h"
+
+#include <cstdint>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace ReduceMin
+{
+
+/**
+ * @brief Struct to have indexes for operation parameter
+ */
+struct Param
+{
+  int32_t ofm_index; /**< Index of output feature map */
+
+  int32_t ifm_index;  /**< Index of input feature map */
+  int32_t axis_index; /**< Index of axis */
+  /**
+   * @brief Construct as default
+   */
+  Param() = default;
+  /**
+   * @brief Construct a new Param object with params
+   * @param[in] inputCount  Count of inputs
+   * @param[in] inputs      Pointer of inputs
+   * @param[in] outputCount Count of outputs
+   * @param[in] outputs     Pointer of outputs
+   */
+  Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, const uint32_t *outputs);
+};
+
+/**
+ * @brief Class to represent an operation of data structure
+ */
+class Node final : public op::Node
+{
+public:
+  /**
+   * @brief Construct a new Node object with param
+   * @param[in] param Param object that makes up a Node
+   */
+  Node(const Param &param) : _param(param)
+  {
+    // DO NOTHING
+  }
+
+public:
+  /**
+   * @brief Destruct as default
+   */
+  virtual ~Node() = default;
+
+public:
+  /**
+   * @brief  Get a reference of Param object
+   * @return Reference of Param object
+   */
+  const Param &param(void) const { return _param; }
+
+public:
+  /**
+   * @brief Visit this Node by NodeVisitor
+   * @param[in] v Visitor
+   * @return N/A
+   */
+  void accept(NodeVisitor &&) const override;
+
+private:
+  const Param _param;
+};
+
+} // namespace ReduceMin
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+#endif // __INTERNAL_OP_REDUCEMIN_H__

diff --git a/runtimes/pure_arm_compute/src/model.cc b/runtimes/pure_arm_compute/src/model.cc
index 2f27c67..6580698 100644 (file)
--- a/runtimes/pure_arm_compute/src/model.cc
+++ b/runtimes/pure_arm_compute/src/model.cc
@@ -751,6 +751,18 @@ int ANeuralNetworksModel_addOperationEx(ANeuralNetworksModel *model,
 
       break;
     }
+    case ANEURALNETWORKS_REDUCE_MIN_EX:
+    {
+      using internal::tflite::op::ReduceMin::Param;
+      using internal::tflite::op::ReduceMin::Node;
+
+      // Add 'operations'
+      auto &operations = model->deref().operations();
+
+      operations.emplace_back<Node>(Param{inputCount, inputs, outputCount, outputs});
+
+      break;
+    }
     case ANEURALNETWORKS_TENSORFLOW_MAX_EX:
     {
       using internal::tflite::op::ReduceMax::Param;