Revert "[PACL] Apply DepthwiseConvolutionLayer3x3 to DepthwiseConv operation (#4354)" (#4840)

This reverts commit 34f49de36ae41f10735fd570e006981671e13a68.

The same changes were merged in acl v19.02.
Related PR : https://review.mlplatform.org/#/c/ml/ComputeLibrary/+/511/

Signed-off-by: Jiyoung Yun <jy910.yun@samsung.com>

3 files changed, 22 insertions, 84 deletions

diff --git a/runtimes/pure_arm_compute/src/compilation.cc b/runtimes/pure_arm_compute/src/compilation.cc
index dcf7a30ea..d028e01dc 100644
--- a/runtimes/pure_arm_compute/src/compilation.cc
+++ b/runtimes/pure_arm_compute/src/compilation.cc
@@ -1324,35 +1324,20 @@ void Planner::visit(const ::internal::tflite::op::DepthwiseConv2D::Implicit::Nod
 
     if (::internal::arm_compute::isGpuMode())
     {
-      if (getHeight(ker_alloc) == 3 && getWidth(ker_alloc) == 3)
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer3x3>();
-        fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc),
-                      CAST_CL(ofm_alloc), conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
-      else
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer>();
-        fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc),
-                      CAST_CL(ofm_alloc), conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
+      auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer>();
+
+      fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc), CAST_CL(ofm_alloc),
+                    conv_info, param.multipler);
+
+      builder.append("DepthwiseConv2D", std::move(fn));
     }
     else
     {
-      if (getHeight(ker_alloc) == 3 && getWidth(ker_alloc) == 3)
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer3x3>();
-        fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
-      else
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer>();
-        fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
+      auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer>();
+
+      fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
+
+      builder.append("DepthwiseConv2D", std::move(fn));
     }
 
     ActivationBuilder{builder}.append(param.activation, ofm_alloc);
@@ -1482,35 +1467,20 @@ void Planner::visit(const ::internal::tflite::op::DepthwiseConv2D::Explicit::Nod
 
     if (::internal::arm_compute::isGpuMode())
     {
-      if (getHeight(ker_alloc) == 3 && getWidth(ker_alloc) == 3)
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer3x3>();
-        fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc),
-                      CAST_CL(ofm_alloc), conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
-      else
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer>();
-        fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc),
-                      CAST_CL(ofm_alloc), conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
+      auto fn = nnfw::cpp14::make_unique<::arm_compute::CLDepthwiseConvolutionLayer>();
+
+      fn->configure(CAST_CL(ifm_alloc), CAST_CL(ker_alloc), CAST_CL(bias_alloc), CAST_CL(ofm_alloc),
+                    conv_info, param.multipler);
+
+      builder.append("DepthwiseConv2D", std::move(fn));
     }
     else
     {
-      if (getHeight(ker_alloc) == 3 && getWidth(ker_alloc) == 3)
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer3x3>();
-        fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
-      else
-      {
-        auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer>();
-        fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
-        builder.append("DepthwiseConv2D", std::move(fn));
-      }
+      auto fn = nnfw::cpp14::make_unique<::arm_compute::NEDepthwiseConvolutionLayer>();
+
+      fn->configure(ifm_alloc, ker_alloc, bias_alloc, ofm_alloc, conv_info, param.multipler);
+
+      builder.append("DepthwiseConv2D", std::move(fn));
     }
 
     ActivationBuilder{builder}.append(param.activation, ofm_alloc);
diff --git a/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.cc b/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.cc
index eabae097f..1a5c735ee 100644
--- a/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.cc
+++ b/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.cc
@@ -150,17 +150,3 @@
 {
   return ::arm_compute::TensorInfo(shape, 1, type, asQuantizationInfo(scale, zeroPoint));
 }
-
-size_t getHeight(const ::arm_compute::ITensor *tensor)
-{
-  assert(tensor != nullptr);
-  return tensor->info()->dimension(::arm_compute::get_data_layout_dimension_index(
-      tensor->info()->data_layout(), ::arm_compute::DataLayoutDimension::HEIGHT));
-}
-
-size_t getWidth(const ::arm_compute::ITensor *tensor)
-{
-  assert(tensor != nullptr);
-  return tensor->info()->dimension(::arm_compute::get_data_layout_dimension_index(
-      tensor->info()->data_layout(), ::arm_compute::DataLayoutDimension::WIDTH));
-}
diff --git a/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.h b/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.h
index c8d94e8c3..211a6ac87 100644
--- a/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.h
+++ b/runtimes/pure_arm_compute/src/internal/arm_compute/Cast.h
@@ -153,22 +153,4 @@ void copyCast(const FromT value, ::arm_compute::ITensor *to, const ::arm_compute
   }
 }
 
-/**
- * @brief       Get the value of the height dimension for a given tensor
- * @param[in]   tensor   Target tensor of arm compute
- * @return      The height value
- */
-// TODO It seems that this helper function is not for casting, but we couldn't find proper source
-//      location.
-size_t getHeight(const ::arm_compute::ITensor *tensor);
-
-/**
- * @brief       Get the value of the width dimension for a given tensor
- * @param[in]   tensor   Target tensor of arm compute
- * @return      The width value
- */
-// TODO It seems that this helper function is not for casting, but we couldn't find proper source
-//      location.
-size_t getWidth(const ::arm_compute::ITensor *tensor);
-
 #endif // __ARM_COMPUTE_CAST_H__