[neurun] Fix build break due to namespace change (#4625)

Remove specifying `compiler::` namespace for `IExecutionBuilder`. Use
`using` at the top of the source code instead.

Signed-off-by: Hanjoung Lee <hanjoung.lee@samsung.com>

diff --git a/runtimes/neurun/src/backend/acl_cl/StageGenerator.cc b/runtimes/neurun/src/backend/acl_cl/StageGenerator.cc
index a0d7ad7..c3f711b 100644 (file)
--- a/runtimes/neurun/src/backend/acl_cl/StageGenerator.cc
+++ b/runtimes/neurun/src/backend/acl_cl/StageGenerator.cc
@@ -52,6 +52,8 @@
 
 #include "Swizzle.h"
 
+using ::neurun::compiler::IExecutionBuilder;
+
 template <typename T> std::unique_ptr<T> make_layer(void) { return std::unique_ptr<T>{new T}; }
 
 std::unique_ptr<::neurun::backend::acl_cl::kernel::CLFunction>
@@ -86,7 +88,7 @@ namespace acl_cl
 class ActivationBuilder
 {
 public:
-  ActivationBuilder(compiler::IExecutionBuilder &builder) : _builder(builder)
+  ActivationBuilder(IExecutionBuilder &builder) : _builder(builder)
   {
     // DO NOTHING
   }
@@ -100,7 +102,7 @@ public:
   void append(FuseCode code, ::arm_compute::ICLTensor *tensor);
 
 private:
-  compiler::IExecutionBuilder &_builder;
+  IExecutionBuilder &_builder;
 };
 
 void ActivationBuilder::appendReLU(::arm_compute::ICLTensor *ifm_alloc)
@@ -205,7 +207,7 @@ void StageGenerator::visit(const model::operation::CastNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto ifm_alloc = tensors->at(param.ifm_index).get();
 
@@ -303,7 +305,7 @@ void StageGenerator::visit(const model::operation::Conv2DNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto ifm_alloc = tensors->at(param.ifm_index).get();
     auto ker_alloc = tensors->at(param.ker_index).get();
@@ -407,7 +409,7 @@ void StageGenerator::visit(const model::operation::DepthwiseConv2DNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto ifm_alloc = tensors->at(param.ifm_index).get();
     auto ker_alloc = tensors->at(param.ker_index).get();
@@ -524,7 +526,7 @@ void StageGenerator::visit(const model::operation::MaxPool2DNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto ifm_alloc = tensors->at(param.ifm_index).get();
 
@@ -639,7 +641,7 @@ void StageGenerator::visit(const model::operation::AvgPool2DNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto ifm_alloc = tensors->at(param.ifm_index).get();
 
@@ -685,7 +687,7 @@ void StageGenerator::visit(const model::operation::ConcatNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     // If tensor allocator allocate as subtensor
     bool canEliminate = true;
     for (auto ifm_ind : param.input_indexes)
@@ -794,7 +796,7 @@ void StageGenerator::visit(const model::operation::FullyConnectedNode &node)
   param.needs_reshape = needs_reshape;
   param.reshape = reshape;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto output_alloc = tensors->at(param.output_index).get();
     auto input_alloc = tensors->at(param.input_index).get();
     auto weight_alloc = tensors->at(param.weight_index).get();
@@ -852,7 +854,7 @@ void StageGenerator::visit(const model::operation::MulNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto lhs_alloc = tensors->at(param.lhs_index).get();
     auto rhs_alloc = tensors->at(param.rhs_index).get();
@@ -896,7 +898,7 @@ void StageGenerator::visit(const model::operation::ReshapeNode &node)
   tensors->dimCorrection(input_index, false);
   tensors->dimCorrection(output_index, false);
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto output_alloc = tensors->at(param.output_index).get();
     auto input_alloc = tensors->at(param.input_index).get();
 
@@ -928,7 +930,7 @@ void StageGenerator::visit(const model::operation::TanhNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto output_alloc = tensors->at(param.output_index).get();
     auto input_alloc = tensors->at(param.input_index).get();
 
@@ -966,7 +968,7 @@ void StageGenerator::visit(const model::operation::SoftmaxNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto output_alloc = tensors->at(param.output_index).get();
     auto input_alloc = tensors->at(param.input_index).get();
 
@@ -1067,7 +1069,7 @@ void StageGenerator::visit(const model::operation::StridedSliceNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto outputData_alloc = tensors->at(param.outputData_index).get();
     auto inputData_alloc = tensors->at(param.inputData_index).get();
 
@@ -1121,7 +1123,7 @@ void StageGenerator::visit(const model::operation::TransposeNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_idx).get();
     auto ifm_alloc = tensors->at(param.ifm_idx).get();
     const auto pv = getARMComputePermutationVector(param.rank, param.pv);
@@ -1176,7 +1178,7 @@ void StageGenerator::visit(const model::operation::AddNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto lhs_alloc = tensors->at(param.lhs_index).get();
     auto rhs_alloc = tensors->at(param.rhs_index).get();
@@ -1237,7 +1239,7 @@ void StageGenerator::visit(const model::operation::SubNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto lhs_alloc = tensors->at(param.lhs_index).get();
     auto rhs_alloc = tensors->at(param.rhs_index).get();
@@ -1299,7 +1301,7 @@ void StageGenerator::visit(const model::operation::DivNode &node)
 
   auto tensors = _tensor_builder;
 
-  returnStage([tensors, param](compiler::IExecutionBuilder &builder) {
+  returnStage([tensors, param](IExecutionBuilder &builder) {
     auto ofm_alloc = tensors->at(param.ofm_index).get();
     auto lhs_alloc = tensors->at(param.lhs_index).get();
     auto rhs_alloc = tensors->at(param.rhs_index).get();