diff --git a/arm_compute/core/Error.h b/arm_compute/core/Error.h
index c9a0d85..0854f2c 100644
--- a/arm_compute/core/Error.h
+++ b/arm_compute/core/Error.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2016-2019, 2021 Arm Limited.
+ * Copyright (c) 2016-2019, 2021, 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -204,9 +204,10 @@
 #define ARM_COMPUTE_RETURN_ON_ERROR(status) \
     do                                      \
     {                                       \
-        if(!bool(status))                   \
+        const auto s = status;              \
+        if(!bool(s))                        \
         {                                   \
-            return status;                  \
+            return s;                       \
         }                                   \
     } while(false)
 
diff --git a/arm_compute/core/Validate.h b/arm_compute/core/Validate.h
index cf7eb8b..5bffc16 100644
--- a/arm_compute/core/Validate.h
+++ b/arm_compute/core/Validate.h
@@ -490,9 +490,9 @@
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_1 == nullptr, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info_2 == nullptr, function, file, line);
-    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, tensor_infos...));
 
-    const std::array < const ITensorInfo *, 2 + sizeof...(Ts) > tensors_info_array{ { tensor_info_1, tensor_info_2, std::forward<Ts>(tensor_infos)... } };
+    const std::array < const ITensorInfo *, 2 + sizeof...(Ts) > tensors_info_array{ { tensor_info_1, tensor_info_2, tensor_infos... } };
     ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(std::next(tensors_info_array.cbegin()), tensors_info_array.cend(), [&](const ITensorInfo * tensor_info)
     {
         return detail::have_different_dimensions((*tensors_info_array.cbegin())->tensor_shape(), tensor_info->tensor_shape(), upper_dim);
@@ -518,7 +518,7 @@
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_1 == nullptr, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_2 == nullptr, function, file, line);
-    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, tensors...));
     ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_shapes(function, file, line, upper_dim, tensor_1->info(), tensor_2->info(),
                                                                            detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
     return arm_compute::Status{};
@@ -543,10 +543,10 @@
                                                              const ITensorInfo *tensor_info, Ts... tensor_infos)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line);
-    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, tensor_infos...));
 
     DataLayout &&tensor_data_layout = tensor_info->data_layout();
-    const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { std::forward<Ts>(tensor_infos)... } };
+    const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { tensor_infos... } };
     ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_infos_array.begin(), tensors_infos_array.end(), [&](const ITensorInfo * tensor_info_obj)
     {
         return tensor_info_obj->data_layout() != tensor_data_layout;
@@ -594,10 +594,10 @@
                                                            const ITensorInfo *tensor_info, Ts... tensor_infos)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor_info == nullptr, function, file, line);
-    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensor_infos)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, tensor_infos...));
 
     DataType &&tensor_data_type = tensor_info->data_type();
-    const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { std::forward<Ts>(tensor_infos)... } };
+    const std::array<const ITensorInfo *, sizeof...(Ts)> tensors_infos_array{ { tensor_infos... } };
     ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(std::any_of(tensors_infos_array.begin(), tensors_infos_array.end(), [&](const ITensorInfo * tensor_info_obj)
     {
         return tensor_info_obj->data_type() != tensor_data_type;
@@ -620,7 +620,7 @@
                                                            const ITensor *tensor, Ts... tensors)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
-    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, std::forward<Ts>(tensors)...));
+    ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_nullptr(function, file, line, tensors...));
     ARM_COMPUTE_RETURN_ON_ERROR(::arm_compute::error_on_mismatching_data_types(function, file, line, tensor->info(),
                                                                                detail::get_tensor_info_t<ITensorInfo *>()(tensors)...));
     return arm_compute::Status{};
diff --git a/src/core/CL/CLCompileContext.cpp b/src/core/CL/CLCompileContext.cpp
index ea03d59..2d024f9 100644
--- a/src/core/CL/CLCompileContext.cpp
+++ b/src/core/CL/CLCompileContext.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020-2022 Arm Limited.
+ * Copyright (c) 2020-2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -331,8 +331,8 @@
 
 void CLCompileContext::set_device(cl::Device device)
 {
-    _device            = std::move(device);
     _is_wbsm_supported = get_wbsm_support_info(device);
+    _device            = std::move(device);
 }
 
 cl::NDRange CLCompileContext::default_ndrange() const
diff --git a/src/core/NEON/kernels/arm_gemm/gemm_hybrid_indirect.hpp b/src/core/NEON/kernels/arm_gemm/gemm_hybrid_indirect.hpp
index 0bbcd10..1780375 100644
--- a/src/core/NEON/kernels/arm_gemm/gemm_hybrid_indirect.hpp
+++ b/src/core/NEON/kernels/arm_gemm/gemm_hybrid_indirect.hpp
@@ -440,7 +440,7 @@
             in_row_strings = std::vector<const To * const *>(_args._Ksections, nullptr);
 
             for (unsigned int i=0; i<_args._Ksections; i++) {
-                in_row_strings[i] = &(in_row_ptrs[i * strategy::out_height()]);
+                in_row_strings[i] = &(in_row_ptrs.data()[i * strategy::out_height()]);
             }
         }
 
diff --git a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
index 9c85631..3069d6b 100644
--- a/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
+++ b/src/cpu/operators/internal/CpuGemmAssemblyDispatch.cpp
@@ -794,7 +794,7 @@
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->data_type() == DataType::S8 && d->data_type() != DataType::S32, "Only S32 output supported for S8 input");
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(a->data_type() == DataType::QASYMM8 && (d->data_type() != DataType::QASYMM8 && d->data_type() != DataType::S32),
                                     "Only QASYMM8/S32 output supported for QASYMM8 input");
-    arm_compute::WeightFormat expected_weight_format;
+    arm_compute::WeightFormat expected_weight_format = arm_compute::WeightFormat::UNSPECIFIED;
     const Status              ret = CpuGemmAssemblyDispatch::has_opt_impl(expected_weight_format, a, b, c, d, info);
     if((bool)ret && expected_weight_format != arm_compute::WeightFormat::ANY)
     {