1 files changed, 3 insertions, 18 deletions
diff --git a/src/runtime/NEON/functions/NEGEMMConv2d.cpp b/src/runtime/NEON/functions/NEGEMMConv2d.cpp
index 790543a34a..94ceb6d27c 100644
--- a/src/runtime/NEON/functions/NEGEMMConv2d.cpp
+++ b/src/runtime/NEON/functions/NEGEMMConv2d.cpp
@@ -26,37 +26,24 @@
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/core/utils/quantization/AsymmHelpers.h"
 #include "arm_compute/runtime/NEON/NEScheduler.h"
-#include "src/core/helpers/MemoryHelpers.h"
 #include "src/runtime/cpu/operators/CpuGemmDirectConv2d.h"
 
 #include <set>
 
 namespace arm_compute
 {
-using OperatorType      = cpu::CpuGemmDirectConv2d;
-using WorkspaceDataType = WorkspaceData<Tensor>;
+using OperatorType = cpu::CpuGemmDirectConv2d;
 
 struct NEGEMMConv2d::Impl
 {
     ITensorPack                   tensors{};
-    MemoryGroup                   mg{};
     std::unique_ptr<OperatorType> op{ nullptr };
-    WorkspaceDataType             ws{};
-
-    void allocate_and_add_workspace()
-    {
-        if(op)
-        {
-            ws = manage_workspace<Tensor>(op->workspace(), mg, tensors);
-        }
-    }
 };
 
 NEGEMMConv2d::NEGEMMConv2d(const std::shared_ptr<IMemoryManager> &memory_manager)
     : _impl(std::make_unique<Impl>())
 {
-    _impl->op = std::make_unique<OperatorType>();
-    _impl->mg = MemoryGroup(memory_manager);
+    _impl->op = std::make_unique<OperatorType>(memory_manager);
 }
 
 NEGEMMConv2d::~NEGEMMConv2d() = default;
@@ -68,9 +55,7 @@ void NEGEMMConv2d::configure(ITensor *input, const ITensor *weights, const ITens
     _impl->tensors.add_const_tensor(TensorType::ACL_SRC_2, biases);
     _impl->tensors.add_tensor(TensorType::ACL_DST, output);
 
-    _impl->op->configure(input->info(), weights->info(), ((biases) ? biases->info() : nullptr), output->info(), info);
-
-    _impl->allocate_and_add_workspace();
+    _impl->op->configure(input->info(), weights->info(), biases->info(), output->info(), info);
 }
 
 Status NEGEMMConv2d::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const Conv2dInfo &info)