Adding explicit padding support for L2Pool2D (#2633)
authorSiva Sai Vaddipati/System SW /SRI-Bangalore/Engineer/삼성전자 <siva.sai@samsung.com>
Mon, 10 Sep 2018 02:18:01 +0000 (07:48 +0530)
committer오형석/동작제어Lab(SR)/Staff Engineer/삼성전자 <hseok82.oh@samsung.com>
Mon, 10 Sep 2018 02:18:01 +0000 (11:18 +0900)
This commit enables L2Pool2D operation with explicit padding.
Related issue: #2562

Signed-off-by: Siva Sai <siva.sai@samsung.com>
runtimes/pure_arm_compute/src/compilation.cc
runtimes/pure_arm_compute/src/internal/op/L2Pool2D.cc
runtimes/pure_arm_compute/src/internal/op/L2Pool2D.h
runtimes/pure_arm_compute/src/internal/op/NodeVisitor.h
runtimes/pure_arm_compute/src/model.cc

index 9f17014..708defd 100644 (file)
@@ -481,6 +481,7 @@ public:
   void visit(const ::internal::tflite::op::Pad::Node &node) override;
   void visit(const ::internal::tflite::op::SpaceToDepth::Node &node) override;
   void visit(const ::internal::tflite::op::L2Pool2D::Implicit::Node &node) override;
+  void visit(const ::internal::tflite::op::L2Pool2D::Explicit::Node &node) override;
   void visit(const ::internal::tflite::op::EmbeddingLookup::Node &node) override;
 
 private:
@@ -3506,6 +3507,107 @@ void Planner::visit(const ::internal::tflite::op::L2Pool2D::Implicit::Node &node
   _builder.addStage(stage);
 }
 
+void Planner::visit(const ::internal::tflite::op::L2Pool2D::Explicit::Node &node)
+{
+  const ::internal::tflite::operand::Index ofm_index{node.param().ofm_index};
+  const ::internal::tflite::operand::Index ifm_index{node.param().ifm_index};
+
+  const ::internal::tflite::operand::Index kh_index{node.param().kh_index};
+  const ::internal::tflite::operand::Index kw_index{node.param().kw_index};
+
+  const ::internal::tflite::operand::Index vstride_index{node.param().vstride_index};
+  const ::internal::tflite::operand::Index hstride_index{node.param().hstride_index};
+
+  const ::internal::tflite::operand::Index padding_left_index{node.param().padding_left_index};
+  const ::internal::tflite::operand::Index padding_right_index{node.param().padding_right_index};
+  const ::internal::tflite::operand::Index padding_top_index{node.param().padding_top_index};
+  const ::internal::tflite::operand::Index padding_bottom_index{node.param().padding_bottom_index};
+
+  const ::internal::tflite::operand::Index activation_index{node.param().activation_index};
+
+  const auto ofm_shape = _ctx.at(ofm_index).shape().asFeature();
+  const auto ifm_shape = _ctx.at(ifm_index).shape().asFeature();
+
+  const int32_t kh = _ctx.at(kh_index).asScalar<int32_t>();
+  const int32_t kw = _ctx.at(kw_index).asScalar<int32_t>();
+
+  const int32_t vstride = _ctx.at(vstride_index).asScalar<int32_t>();
+  const int32_t hstride = _ctx.at(hstride_index).asScalar<int32_t>();
+
+  const int32_t padding_left = _ctx.at(padding_left_index).asScalar<int32_t>();
+  const int32_t padding_right = _ctx.at(padding_right_index).asScalar<int32_t>();
+  const int32_t padding_top = _ctx.at(padding_top_index).asScalar<int32_t>();
+  const int32_t padding_bottom = _ctx.at(padding_bottom_index).asScalar<int32_t>();
+
+  _builder.addShapeConstr(ofm_index, asTensorInfo(asTensorShape(_ctx.at(ofm_index).shape()),
+                                                  _ctx.at(ofm_index).type()));
+  _builder.addShapeConstr(ifm_index, asTensorInfo(asTensorShape(_ctx.at(ifm_index).shape()),
+                                                  _ctx.at(ifm_index).type()));
+
+  // Construct operation parameters
+  struct Param
+  {
+    int ofm_index;
+    int ifm_index;
+
+    uint32_t kw;
+    uint32_t kh;
+
+    Padding padding;
+    Stride stride;
+
+    FuseCode activation;
+  };
+
+  Param param;
+
+  param.ofm_index = ofm_index.asInt();
+  param.ifm_index = ifm_index.asInt();
+
+  param.kh = kh;
+  param.kw = kw;
+
+  param.stride.vertical = vstride;
+  param.stride.horizontal = hstride;
+
+  param.padding.left = padding_left;
+  param.padding.right = padding_right;
+  param.padding.top = padding_top;
+  param.padding.bottom = padding_bottom;
+
+  param.activation = static_cast<FuseCode>(_ctx.at(activation_index).asScalar<int32_t>());
+
+  auto stage = [param](const IAllocationContext &ctx, IExecutionBuilder &builder) {
+    auto ofm_alloc = ctx.at(::internal::tflite::operand::Index{param.ofm_index});
+    auto ifm_alloc = ctx.at(::internal::tflite::operand::Index{param.ifm_index});
+
+    ::arm_compute::PoolingLayerInfo info{::arm_compute::PoolingType::L2,
+                                         ::arm_compute::Size2D{param.kw, param.kh},
+                                         asPadStringInfo(param.padding, param.stride)};
+
+    if (::internal::arm_compute::isGpuMode())
+    {
+      std::unique_ptr<::arm_compute::CLPoolingLayer> fn{new ::arm_compute::CLPoolingLayer};
+
+      fn->configure(CAST_CL(ifm_alloc), CAST_CL(ofm_alloc), info);
+
+      builder.append("L2Pool2D", std::move(fn));
+    }
+    else
+    {
+      std::unique_ptr<::arm_compute::NEPoolingLayer> fn{new ::arm_compute::NEPoolingLayer};
+
+      fn->configure(ifm_alloc, ofm_alloc, info);
+
+      builder.append("L2Pool2D", std::move(fn));
+    }
+
+    ActivationBuilder{builder}.append(param.activation, ofm_alloc);
+  };
+
+  _builder.addStage(stage);
+}
+
 void Planner::visit(const ::internal::tflite::op::EmbeddingLookup::Node &node)
 {
   // TODO Implement EMBEDDING_LOOKUP
index e087e40..a6d866e 100644 (file)
@@ -11,6 +11,13 @@ namespace op
 {\r
 namespace L2Pool2D\r
 {\r
+namespace Explicit\r
+{\r
+\r
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }\r
+\r
+} // namespace Explicit\r
+\r
 namespace Implicit\r
 {\r
 \r
@@ -30,6 +37,42 @@ namespace op
 {\r
 namespace L2Pool2D\r
 {\r
+namespace Explicit\r
+{\r
+\r
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,\r
+             const uint32_t *outputs)\r
+{\r
+  assert(inputCount == 10 && outputCount == 1);\r
+\r
+  ofm_index = outputs[0];\r
+\r
+  // Each input should be interpreted as follows:\r
+  //\r
+  //  0 -> IFM Tensor Index\r
+  //  1 -> Padding_left index\r
+  //  2 -> Padding_right index\r
+  //  3 -> Padding_top index\r
+  //  4 -> Padding_bottom index\r
+  //  5 -> Horizontal (over width) Stride Index\r
+  //  6 -> Vertial (over height) Stride Index\r
+  //  7 -> Filter Width Index\r
+  //  8 -> Filter Height Index\r
+  //  9 -> FuseCode (activation) Index\r
+  ifm_index = inputs[0];\r
+  padding_left_index = inputs[1];\r
+  padding_right_index = inputs[2];\r
+  padding_top_index = inputs[3];\r
+  padding_bottom_index = inputs[4];\r
+  hstride_index = inputs[5];\r
+  vstride_index = inputs[6];\r
+  kw_index = inputs[7];\r
+  kh_index = inputs[8];\r
+  activation_index = inputs[9];\r
+}\r
+\r
+} // namespace Explicit\r
+\r
 namespace Implicit\r
 {\r
 \r
index 6f757d9..cd79bc9 100644 (file)
@@ -13,6 +13,55 @@ namespace op
 {\r
 namespace L2Pool2D\r
 {\r
+namespace Explicit\r
+{\r
+\r
+struct Param\r
+{\r
+  int32_t ofm_index;\r
+\r
+  int32_t ifm_index;\r
+\r
+  int32_t kw_index;\r
+  int32_t kh_index;\r
+\r
+  int32_t hstride_index;\r
+  int32_t vstride_index;\r
+\r
+  int32_t padding_left_index;\r
+  int32_t padding_right_index;\r
+  int32_t padding_top_index;\r
+  int32_t padding_bottom_index;\r
+\r
+  int32_t activation_index;\r
+\r
+  Param() = default;\r
+  Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount, const uint32_t *outputs);\r
+};\r
+\r
+class Node final : public op::Node\r
+{\r
+public:\r
+  Node(const Param &param) : _param(param)\r
+  {\r
+    // DO NOTHING\r
+  }\r
+\r
+public:\r
+  virtual ~Node() = default;\r
+\r
+public:\r
+  const Param &param(void) const { return _param; }\r
+\r
+public:\r
+  void accept(NodeVisitor &&) const override;\r
+\r
+private:\r
+  const Param _param;\r
+};\r
+\r
+} // namespace Explicit\r
+\r
 namespace Implicit\r
 {\r
 \r
index 3c9ce33..659ca08 100644 (file)
@@ -88,6 +88,7 @@ struct NodeVisitor
   virtual void visit(const Pad::Node &) = 0;
   virtual void visit(const SpaceToDepth::Node &) = 0;
   virtual void visit(const L2Pool2D::Implicit::Node &) = 0;
+  virtual void visit(const L2Pool2D::Explicit::Node &) = 0;
   virtual void visit(const EmbeddingLookup::Node &) = 0;
 };
 
index 500b103..3ce28dd 100644 (file)
@@ -589,8 +589,8 @@ int ANeuralNetworksModel_addOperation(ANeuralNetworksModel *model,
     case ANEURALNETWORKS_L2_POOL_2D:
     {
       // Input count is 7 for Implicit Padding
-      // TODO: Support explicit padding i.e for input count 10.
-      assert(inputCount == 7);
+      // Input count is 10 for Explicit Padding
+      assert(inputCount == 7 || inputCount == 10);
       assert(outputCount == 1);
 
       if (inputCount == 7)
@@ -605,8 +605,13 @@ int ANeuralNetworksModel_addOperation(ANeuralNetworksModel *model,
       }
       else
       {
-        /* TODO: Support Explicit padding as well. */
-        throw std::runtime_error{"Not supported operation"};
+        using internal::tflite::op::L2Pool2D::Explicit::Param;
+        using internal::tflite::op::L2Pool2D::Explicit::Node;
+
+        // Add 'operations'
+        auto &operations = model->deref().operations();
+
+        operations.emplace_back<Node>(Param{inputCount, inputs, outputCount, outputs});
       }
 
       break;