COMPMID-556: Rename Error to Status and inverse logic

Change-Id: Ib57d4f7177cc6179302bda7ad870acb8bd3825f5 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112115 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
author: Georgios Pinitas <georgios.pinitas@arm.com> 2017-12-06 11:53:03 +0000
committer: Anthony Barbier <anthony.barbier@arm.com> 2018-11-02 16:42:17 +0000
commit: 631c41a4e3645a948b0f597caa77e8fa91ca0efc (patch)
tree: 164fd113818b8e890fc16bad97240056cb71e747 /src
parent: 57f249b08fd65af761d5c8bfe62de117d67a14c7 (diff)
download: ComputeLibrary-631c41a4e3645a948b0f597caa77e8fa91ca0efc.tar.gz
54 files changed, 291 insertions, 289 deletions
diff --git a/src/core/CL/kernels/CLActivationLayerKernel.cpp b/src/core/CL/kernels/CLActivationLayerKernel.cpp
index c097b5ff70..5346dbbe15 100644
--- a/src/core/CL/kernels/CLActivationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLActivationLayerKernel.cpp
@@ -45,7 +45,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::QASYMM8, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MSG((input->data_type() == DataType::QASYMM8) && (act_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU),
@@ -59,10 +59,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     if(output != nullptr)
     {
@@ -89,7 +89,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
                                                    AccessWindowHorizontal(input, 0, num_elems_processed_per_iteration));
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -194,12 +194,12 @@ void CLActivationLayerKernel::configure(ICLTensor *input, ICLTensor *output, Act
     _config_id += support::cpp11::to_string(input->info()->dimension(1));
 }
 
-Error CLActivationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
+Status CLActivationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (output == nullptr) ? nullptr : output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLActivationLayerKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
index e846a2bc3f..2789573293 100644
--- a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
+++ b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
@@ -43,7 +43,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_UNUSED(policy);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
@@ -61,10 +61,10 @@ Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, c
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -81,7 +81,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITen
 
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -141,12 +141,12 @@ void CLArithmeticAdditionKernel::configure(const ICLTensor *input1, const ICLTen
     ICLKernel::configure(win_config.second);
 }
 
-Error CLArithmeticAdditionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status CLArithmeticAdditionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLArithmeticAdditionKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp b/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
index 5cadd2a6de..cc2ef1f023 100644
--- a/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
+++ b/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
@@ -40,7 +40,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_UNUSED(policy);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
@@ -58,10 +58,10 @@ Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, c
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -77,7 +77,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITen
 
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -133,12 +133,12 @@ void CLArithmeticSubtractionKernel::configure(const ICLTensor *input1, const ICL
     ICLKernel::configure(win_config.second);
 }
 
-Error CLArithmeticSubtractionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status CLArithmeticSubtractionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLArithmeticSubtractionKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
index 62a203c97b..663b044b5d 100644
--- a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
@@ -39,10 +39,10 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
-                         const ITensorInfo *mean, const ITensorInfo *var,
-                         const ITensorInfo *beta, const ITensorInfo *gamma,
-                         float epsilon)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
+                          const ITensorInfo *mean, const ITensorInfo *var,
+                          const ITensorInfo *beta, const ITensorInfo *gamma,
+                          float epsilon)
 {
     ARM_COMPUTE_UNUSED(epsilon);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
@@ -58,10 +58,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     if(output != nullptr)
     {
@@ -87,7 +87,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         window_changed = update_window_and_padding(win, input_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -146,15 +146,15 @@ void CLBatchNormalizationLayerKernel::configure(ICLTensor *input, ICLTensor *out
     ICLKernel::configure(win_config.second);
 }
 
-Error CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
-                                                const ITensorInfo *mean, const ITensorInfo *var,
-                                                const ITensorInfo *beta, const ITensorInfo *gamma,
-                                                float epsilon)
+Status CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                                 const ITensorInfo *mean, const ITensorInfo *var,
+                                                 const ITensorInfo *beta, const ITensorInfo *gamma,
+                                                 float epsilon)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, var, beta, gamma, epsilon));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (output == nullptr) ? nullptr : output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLBatchNormalizationLayerKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp b/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
index df0578bc6e..9c15243a64 100644
--- a/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
+++ b/src/core/CL/kernels/CLDirectConvolutionLayerKernel.cpp
@@ -61,7 +61,7 @@ TensorShape get_output_shape(TensorShape input_shape, TensorShape weights_shape,
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, weights);
@@ -105,10 +105,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *weights, c
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *weights, ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target)
 {
     const unsigned int kernel_size = weights->dimension(0);
     const DataType     data_type   = input->data_type();
@@ -211,7 +211,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
 
     output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -419,13 +419,13 @@ void CLDirectConvolutionLayerKernel::configure(const ICLTensor *input, const ICL
     _config_id += support::cpp11::to_string(output->info()->dimension(1));
 }
 
-Error CLDirectConvolutionLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
-                                               const GPUTarget target)
+Status CLDirectConvolutionLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info,
+                                                const GPUTarget target)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, weights, biases, output, conv_info));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), weights->clone().get(), output->clone().get(), conv_info, target).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLDirectConvolutionLayerKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
index 62288cb771..ff2fc646aa 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
@@ -38,7 +38,7 @@ namespace arm_compute
 {
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
     ARM_COMPUTE_RETURN_ERROR_ON(max > 255);
@@ -58,10 +58,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, cons
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -87,7 +87,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         window_changed = window_changed || update_window_and_padding(win, bias_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -100,7 +100,7 @@ CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::CLGEMMLowpQuantizeDow
 {
 }
 
-Error CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, min, max));
@@ -109,7 +109,7 @@ Error CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const
                                                               output->clone().get())
                                 .first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_fixedpoint_multiplier, int result_shift,
diff --git a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
index 5d4b25c142..151a6588d5 100644
--- a/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
@@ -38,7 +38,7 @@ namespace arm_compute
 {
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
     ARM_COMPUTE_RETURN_ERROR_ON(max > 255);
@@ -58,10 +58,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, cons
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -87,7 +87,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         window_changed = window_changed || update_window_and_padding(win, bias_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -99,7 +99,7 @@ CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::CLGEMMLowpQuantizeDownInt32ToUint
     : _input(nullptr), _bias(nullptr), _output(nullptr)
 {
 }
-Error CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, min, max));
@@ -108,7 +108,7 @@ Error CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo
                                                               output->clone().get())
                                 .first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_offset, int result_mult_int, int result_shift, int min,
diff --git a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
index 25c5a7df77..df2104a051 100644
--- a/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLNormalizationLayerKernel.cpp
@@ -37,7 +37,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
@@ -59,10 +59,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, No
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, NormalizationLayerInfo norm_info)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, NormalizationLayerInfo norm_info)
 {
     // Output tensor auto initialization if not yet initialized
     auto_init_if_empty(*output, *input->clone());
@@ -86,7 +86,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
 
     output_access.set_valid_region(win, input->valid_region());
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -156,12 +156,12 @@ void CLNormalizationLayerKernel::configure(const ICLTensor *input, ICLTensor *ou
     _config_id += support::cpp11::to_string(input->info()->dimension(1));
 }
 
-Error CLNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info)
+Status CLNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, norm_info));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), norm_info).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLNormalizationLayerKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
index 9e89e1ca43..fd5e5d5862 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -42,8 +42,8 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
-                         ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+                          ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
 {
     ARM_COMPUTE_UNUSED(overflow_policy);
     ARM_COMPUTE_UNUSED(rounding_policy);
@@ -75,10 +75,10 @@ Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, c
         }
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -94,7 +94,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITen
                                                        input2->valid_region());
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -213,13 +213,13 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
     ICLKernel::configure(win_config.second);
 }
 
-Error CLPixelWiseMultiplicationKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
-                                                ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+Status CLPixelWiseMultiplicationKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+                                                 ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, scale, overflow_policy, rounding_policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLPixelWiseMultiplicationKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLPoolingLayerKernel.cpp b/src/core/CL/kernels/CLPoolingLayerKernel.cpp
index b0942e55b1..ac368c77ef 100644
--- a/src/core/CL/kernels/CLPoolingLayerKernel.cpp
+++ b/src/core/CL/kernels/CLPoolingLayerKernel.cpp
@@ -55,7 +55,7 @@ void auto_init(const ITensorInfo *input, ITensorInfo *output, unsigned int poole
     auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape));
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
@@ -87,10 +87,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
                                         "Invalid output pooling dimensions!");
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::tuple<Error, Window, CLPoolingConfig> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &pool_info)
+std::tuple<Status, Window, CLPoolingConfig> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PoolingLayerInfo &pool_info)
 {
     int                 pool_pad_x      = 0;
     int                 pool_pad_y      = 0;
@@ -160,7 +160,7 @@ std::tuple<Error, Window, CLPoolingConfig> validate_and_configure_window(ITensor
     bool                   window_changed = update_window_and_padding(win, input_access, output_access);
     output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_tuple(err, win, CLPoolingConfig(num_elems_processed_per_iteration, border_size));
 }
 } // namespace
@@ -281,12 +281,12 @@ void CLPoolingLayerKernel::configure(const ICLTensor *input, ICLTensor *output,
     _config_id += support::cpp11::to_string(output->info()->dimension(1));
 }
 
-Error CLPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
+Status CLPoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info));
     ARM_COMPUTE_RETURN_ON_ERROR(std::get<0>(validate_and_configure_window(input->clone().get(), output->clone().get(), pool_info)));
 
-    return Error{};
+    return Status{};
 }
 
 void CLPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp b/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp
index 71f375f007..04a7639a83 100644
--- a/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp
+++ b/src/core/CL/kernels/CLSoftmaxLayerKernel.cpp
@@ -81,7 +81,7 @@ CLBuildOptions prepare_quantized_softmax_build_options(float input_scale, float
 
 // Arguments Validation
 
-Error validate_arguments_1DMax(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments_1DMax(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
@@ -98,10 +98,10 @@ Error validate_arguments_1DMax(const ITensorInfo *input, const ITensorInfo *outp
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape);
     }
 
-    return Error{};
+    return Status{};
 }
 
-Error validate_arguments_1DShiftExpSum(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
+Status validate_arguments_1DShiftExpSum(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(max, sum, output);
@@ -138,10 +138,10 @@ Error validate_arguments_1DShiftExpSum(const ITensorInfo *input, const ITensorIn
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(max, sum);
     }
 
-    return Error{};
+    return Status{};
 }
 
-Error validate_arguments_1DMaxShiftExpSum(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
+Status validate_arguments_1DMaxShiftExpSum(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(max, sum, output);
@@ -165,10 +165,10 @@ Error validate_arguments_1DMaxShiftExpSum(const ITensorInfo *input, const ITenso
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(max, sum);
     }
 
-    return Error{};
+    return Status{};
 }
 
-Error validate_arguments_1DNorm(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output)
+Status validate_arguments_1DNorm(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::S32, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(sum, output);
@@ -195,12 +195,12 @@ Error validate_arguments_1DNorm(const ITensorInfo *input, const ITensorInfo *sum
         }
     }
 
-    return Error{};
+    return Status{};
 }
 
 // Window validation
 
-std::pair<Error, Window> validate_and_configure_window_1DMax(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window_1DMax(ITensorInfo *input, ITensorInfo *output)
 {
     TensorShape output_shape{ input->tensor_shape() };
     output_shape.set(0, 1);
@@ -220,11 +220,11 @@ std::pair<Error, Window> validate_and_configure_window_1DMax(ITensorInfo *input,
 
     output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
-std::pair<Error, Window> validate_and_configure_window_1DShiftExpSum(ITensorInfo *input, ITensorInfo *max, ITensorInfo *output, ITensorInfo *sum)
+std::pair<Status, Window> validate_and_configure_window_1DShiftExpSum(ITensorInfo *input, ITensorInfo *max, ITensorInfo *output, ITensorInfo *sum)
 {
     const bool     is_quantized_asymmetric = is_data_type_quantized_asymmetric(input->data_type());
     const DataType tmp_data_type           = is_quantized_asymmetric ? DataType::S32 : input->data_type();
@@ -248,11 +248,11 @@ std::pair<Error, Window> validate_and_configure_window_1DShiftExpSum(ITensorInfo
     output_access.set_valid_region(win, input->valid_region());
     sum_access.set_valid_region(win, ValidRegion(Coordinates(), sum->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
-std::pair<Error, Window> validate_and_configure_window_1DMaxShiftExpSum(ITensorInfo *input, ITensorInfo *max, ITensorInfo *output, ITensorInfo *sum)
+std::pair<Status, Window> validate_and_configure_window_1DMaxShiftExpSum(ITensorInfo *input, ITensorInfo *max, ITensorInfo *output, ITensorInfo *sum)
 {
     // Output auto initialization if not yet initialized
     auto_init_if_empty(*sum, input->clone()->set_tensor_shape(max->tensor_shape()));
@@ -273,11 +273,11 @@ std::pair<Error, Window> validate_and_configure_window_1DMaxShiftExpSum(ITensorI
     output_access.set_valid_region(win, input->valid_region());
     sum_access.set_valid_region(win, ValidRegion(Coordinates(), sum->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
-std::pair<Error, Window> validate_and_configure_window_1DNorm(ITensorInfo *input, ITensorInfo *output, ITensorInfo *sum)
+std::pair<Status, Window> validate_and_configure_window_1DNorm(ITensorInfo *input, ITensorInfo *output, ITensorInfo *sum)
 {
     const QuantizationInfo allowed_quantization_info = QuantizationInfo(1.f / 256, 0);
     const bool             is_quantized_asymmetric   = (input->data_type() == DataType::S32);
@@ -299,7 +299,7 @@ std::pair<Error, Window> validate_and_configure_window_1DNorm(ITensorInfo *input
 
     output_access.set_valid_region(win, input->valid_region());
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -354,12 +354,12 @@ void CLLogits1DMaxKernel::configure(const ICLTensor *input, ICLTensor *output)
     _config_id += support::cpp11::to_string(input->info()->dimension(1));
 }
 
-Error CLLogits1DMaxKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status CLLogits1DMaxKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_1DMax(input, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_1DMax(input->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 CLLogits1DShiftExpSumKernel::CLLogits1DShiftExpSumKernel()
@@ -416,12 +416,12 @@ void CLLogits1DShiftExpSumKernel::configure(const ICLTensor *input, const ICLTen
     ICLKernel::configure(win_config.second);
 }
 
-Error CLLogits1DShiftExpSumKernel::validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
+Status CLLogits1DShiftExpSumKernel::validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_1DShiftExpSum(input, max, output, sum));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_1DShiftExpSum(input->clone().get(), max->clone().get(), output->clone().get(), sum->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLLogits1DShiftExpSumKernel::run(const Window &window, cl::CommandQueue &queue)
@@ -523,12 +523,12 @@ void CLLogits1DMaxShiftExpSumKernel::configure(const ICLTensor *input, ICLTensor
     ICLKernel::configure(win_config.second);
 }
 
-Error CLLogits1DMaxShiftExpSumKernel::validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
+Status CLLogits1DMaxShiftExpSumKernel::validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_1DMaxShiftExpSum(input, max, output, sum));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_1DMaxShiftExpSum(input->clone().get(), max->clone().get(), output->clone().get(), sum->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 CLLogits1DMaxShiftExpSumKernel::ParallelReductionInfo CLLogits1DMaxShiftExpSumKernel::is_parallel_reduction(size_t size)
@@ -613,12 +613,12 @@ void CLLogits1DNormKernel::configure(const ICLTensor *input, const ICLTensor *su
     ICLKernel::configure(win_config.second);
 }
 
-Error CLLogits1DNormKernel::validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output)
+Status CLLogits1DNormKernel::validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_1DNorm(input, sum, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_1DNorm(input->clone().get(), output->clone().get(), sum->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void CLLogits1DNormKernel::run(const Window &window, cl::CommandQueue &queue)
diff --git a/src/core/CL/kernels/CLTransposeKernel.cpp b/src/core/CL/kernels/CLTransposeKernel.cpp
index abc9f0219c..deb22e3044 100644
--- a/src/core/CL/kernels/CLTransposeKernel.cpp
+++ b/src/core/CL/kernels/CLTransposeKernel.cpp
@@ -52,11 +52,12 @@ TensorShape transposed_tensor_shape(const TensorShape &in)
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
 {
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32,
-                                                         DataType::F16,
-                                                         DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8,
+                                                         DataType::U16, DataType::S16, DataType::QS16,
+                                                         DataType::U32, DataType::S32,
+                                                         DataType::F16, DataType::F32);
 
     if(output->total_size() != 0)
     {
@@ -67,10 +68,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     // Configure kernel window
     const unsigned int num_elems_processed_per_iteration = max_cl_vector_width / input->element_size();
@@ -92,17 +93,17 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
 
-Error CLTransposeKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status CLTransposeKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
-    return Error{};
+    return Status{};
 }
 
 void CLTransposeKernel::configure(const ICLTensor *input, ICLTensor *output)
diff --git a/src/core/CPP/kernels/CPPPermuteKernel.cpp b/src/core/CPP/kernels/CPPPermuteKernel.cpp
index 55cc00ffbf..4b137b01d4 100644
--- a/src/core/CPP/kernels/CPPPermuteKernel.cpp
+++ b/src/core/CPP/kernels/CPPPermuteKernel.cpp
@@ -44,7 +44,7 @@ TensorShape get_output_shape(const ITensorInfo *input, const PermutationVector &
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8,
                                                          DataType::U16, DataType::S16, DataType::QS16,
@@ -62,7 +62,7 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 } // namespace
 
@@ -150,10 +150,10 @@ void CPPPermuteKernel::configure(const ITensor *input, ITensor *output, const Pe
     ICPPKernel::configure(win);
 }
 
-Error CPPPermuteKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
+Status CPPPermuteKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, perm));
-    return Error{};
+    return Status{};
 }
 
 void CPPPermuteKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/Error.cpp b/src/core/Error.cpp
index be362bb7cf..b593c27a7f 100644
--- a/src/core/Error.cpp
+++ b/src/core/Error.cpp
@@ -30,16 +30,16 @@
 
 using namespace arm_compute;
 
-Error arm_compute::create_error_va_list(ErrorCode error_code, const char *function, const char *file, const int line, const char *msg, va_list args)
+Status arm_compute::create_error_va_list(ErrorCode error_code, const char *function, const char *file, const int line, const char *msg, va_list args)
 {
     char out[512];
     int  offset = snprintf(out, sizeof(out), "in %s %s:%d: ", function, file, line);
     vsnprintf(out + offset, sizeof(out) - offset, msg, args);
 
-    return Error(error_code, std::string(out));
+    return Status(error_code, std::string(out));
 }
 
-Error arm_compute::create_error(ErrorCode error_code, const char *function, const char *file, const int line, const char *msg, ...)
+Status arm_compute::create_error(ErrorCode error_code, const char *function, const char *file, const int line, const char *msg, ...)
 {
     va_list args;
     va_start(args, msg);
@@ -54,9 +54,9 @@ void arm_compute::error(const char *function, const char *file, const int line,
     va_start(args, msg);
     auto err = create_error_va_list(ErrorCode::RUNTIME_ERROR, function, file, line, msg, args);
     va_end(args);
-    throw std::runtime_error(err.description());
+    throw std::runtime_error(err.error_description());
 }
-void Error::internal_throw_on_error()
+void Status::internal_throw_on_error()
 {
-    throw std::runtime_error(_description);
+    throw std::runtime_error(_error_description);
 }
diff --git a/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp b/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp
index 6452393ca0..8a98cf7cbc 100644
--- a/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp
+++ b/src/core/NEON/kernels/NEArithmeticAdditionKernel.cpp
@@ -356,7 +356,7 @@ void add_saturate_U8_U8_S16(const ITensor *in1, const ITensor *in2, ITensor *out
     input1, input2, output);
 }
 
-inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+inline Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_UNUSED(policy);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2, output);
@@ -382,10 +382,10 @@ inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *in
         && !(input1->data_type() == DataType::F16 && input2->data_type() == DataType::F16 && output->data_type() == DataType::F16),
         "You called addition with the wrong image formats");
 
-    return Error{};
+    return Status{};
 }
 
-inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -403,7 +403,7 @@ inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input
 
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -482,12 +482,12 @@ void NEArithmeticAdditionKernel::configure(const ITensor *input1, const ITensor
     INEKernel::configure(win_config.second);
 }
 
-Error NEArithmeticAdditionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status NEArithmeticAdditionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEArithmeticAdditionKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEArithmeticSubtractionKernel.cpp b/src/core/NEON/kernels/NEArithmeticSubtractionKernel.cpp
index 619669ae35..3db80285c0 100644
--- a/src/core/NEON/kernels/NEArithmeticSubtractionKernel.cpp
+++ b/src/core/NEON/kernels/NEArithmeticSubtractionKernel.cpp
@@ -349,7 +349,7 @@ void sub_saturate_U8_U8_S16(const ITensor *in1, const ITensor *in2, ITensor *out
     input1, input2, output);
 }
 
-inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+inline Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_UNUSED(policy);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2, output);
@@ -375,10 +375,10 @@ inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *in
         && !(input1->data_type() == DataType::F16 && input2->data_type() == DataType::F16 && output->data_type() == DataType::F16),
         "You called subtract with the wrong image formats");
 
-    return Error{};
+    return Status{};
 }
 
-inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -396,7 +396,7 @@ inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input
 
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -475,12 +475,12 @@ void NEArithmeticSubtractionKernel::configure(const ITensor *input1, const ITens
     INEKernel::configure(win_config.second);
 }
 
-Error NEArithmeticSubtractionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status NEArithmeticSubtractionKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEArithmeticSubtractionKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp b/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
index 4bbf67d13b..f5144c6bf3 100644
--- a/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEBatchNormalizationLayerKernel.cpp
@@ -35,7 +35,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma, float epsilon)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma, float epsilon)
 {
     ARM_COMPUTE_UNUSED(epsilon);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QS16, DataType::F16, DataType::F32);
@@ -52,10 +52,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, var, beta, gamma);
     ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != mean->dimension(0));
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
 
@@ -64,7 +64,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
     AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
     bool                   window_changed = update_window_and_padding(win, input_access, output_access);
     output_access.set_valid_region(win, input->valid_region());
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -306,13 +306,14 @@ void NEBatchNormalizationLayerKernel::configure(ITensor *input, ITensor *output,
     INEKernel::configure(win_config.second);
 }
 
-Error NEBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma,
-                                                float epsilon)
+Status NEBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta,
+                                                 const ITensorInfo *gamma,
+                                                 float              epsilon)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, var, beta, gamma, epsilon));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output ? output->clone().get() : nullptr).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEBatchNormalizationLayerKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NECol2ImKernel.cpp b/src/core/NEON/kernels/NECol2ImKernel.cpp
index ca769f73cc..9fda65feb4 100644
--- a/src/core/NEON/kernels/NECol2ImKernel.cpp
+++ b/src/core/NEON/kernels/NECol2ImKernel.cpp
@@ -48,7 +48,7 @@ TensorShape get_output_shape(const ITensorInfo *input, const Size2D &convolved_d
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8,
                                                          DataType::U16, DataType::S16, DataType::QS16,
@@ -63,7 +63,7 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 } // namespace
 
@@ -139,10 +139,10 @@ void NECol2ImKernel::configure(const ITensor *input, ITensor *output, const Size
     INEKernel::configure(win);
 }
 
-Error NECol2ImKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
+Status NECol2ImKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, convolved_dims));
-    return Error{};
+    return Status{};
 }
 
 void NECol2ImKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp b/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp
index 1f4d9b176e..2f8afd8b06 100644
--- a/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.cpp
@@ -40,7 +40,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::U8, DataType::S8,
                                                          DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32,
@@ -58,10 +58,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     unsigned int           num_elems_processed_per_iteration_x = (input->element_size() == 1) ? 8 : 4;
     constexpr unsigned int num_elems_processed_per_iteration_y = 4;
@@ -80,7 +80,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         output_access.set_valid_region(win, input->valid_region());
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -213,12 +213,12 @@ void NEGEMMInterleave4x4Kernel::configure(const ITensor *input, ITensor *output)
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMInterleave4x4Kernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status NEGEMMInterleave4x4Kernel::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMInterleave4x4Kernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp b/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp
index e971dcba8e..768dd8b33e 100644
--- a/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMInterleaveBlockedKernel.cpp
@@ -49,7 +49,7 @@ TensorShape get_output_shape(const ITensorInfo *input, unsigned int block_height
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_width, unsigned int block_height)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_width, unsigned int block_height)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
@@ -63,10 +63,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, un
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int block_width, unsigned int block_height)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int block_width, unsigned int block_height)
 {
     const unsigned int num_elems_processed_per_iteration_x = block_width;
     const unsigned int num_elems_processed_per_iteration_y = block_height;
@@ -90,7 +90,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         output_access.set_valid_region(win, input->valid_region());
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -196,13 +196,13 @@ void NEGEMMInterleaveBlockedKernel::configure(const ITensor *input, ITensor *out
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMInterleaveBlockedKernel::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_height, unsigned int block_width, bool transpose)
+Status NEGEMMInterleaveBlockedKernel::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int block_height, unsigned int block_width, bool transpose)
 {
     ARM_COMPUTE_UNUSED(transpose);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_width, block_height));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), block_width, block_height).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMInterleaveBlockedKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
index a68a01f6a6..d22773d5e0 100644
--- a/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.cpp
@@ -720,7 +720,7 @@ class Coordinates;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::S8, DataType::U8);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1);
@@ -745,10 +745,10 @@ Error validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, c
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(in1_shape[2] != 1 && in0_shape[2] != in1_shape[2], "Input1 tensor must have the same number of batches of input0 or the number of batches must be set to 1");
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration_x = 16;
     constexpr unsigned int num_elems_processed_per_iteration_y = 4;
@@ -786,7 +786,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input0, ITen
         output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape()));
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -815,12 +815,12 @@ void NEGEMMLowpMatrixMultiplyKernel::configure(const ITensor *input0, const ITen
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMLowpMatrixMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
+Status NEGEMMLowpMatrixMultiplyKernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpMatrixMultiplyKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.cpp
index 62f4014acb..2cf99dd292 100644
--- a/src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.cpp
@@ -46,8 +46,8 @@ class Coordinates;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row,
-                         int32_t a_offset, int32_t b_offset)
+Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row,
+                          int32_t a_offset, int32_t b_offset)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32);
 
@@ -82,11 +82,11 @@ Error validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vector
         }
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *mm_result, ITensorInfo *vector_sum_col, ITensorInfo *vector_sum_row,
-                                                       int32_t a_offset, int32_t b_offset)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *mm_result, ITensorInfo *vector_sum_col, ITensorInfo *vector_sum_row,
+                                                        int32_t a_offset, int32_t b_offset)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
     bool                   window_changed                    = false;
@@ -111,7 +111,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *mm_result, I
                                                                      vector_sum_row_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -158,8 +158,8 @@ void NEGEMMLowpOffsetContributionKernel::configure(ITensor *mm_result, const ITe
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMLowpOffsetContributionKernel::validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row,
-                                                   int32_t a_offset, int32_t b_offset)
+Status NEGEMMLowpOffsetContributionKernel::validate(const ITensorInfo *mm_result, const ITensorInfo *vector_sum_col, const ITensorInfo *vector_sum_row,
+                                                    int32_t a_offset, int32_t b_offset)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(mm_result, vector_sum_col, vector_sum_row, a_offset, b_offset));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(mm_result->clone().get(),
@@ -168,7 +168,7 @@ Error NEGEMMLowpOffsetContributionKernel::validate(const ITensorInfo *mm_result,
                                                               a_offset, b_offset)
                                 .first); // NOLINT
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpOffsetContributionKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
index c6f7ca4fb2..1e369ab03a 100644
--- a/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.cpp
@@ -41,7 +41,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
     ARM_COMPUTE_RETURN_ERROR_ON(max > 255);
@@ -61,10 +61,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, cons
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -90,7 +90,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         window_changed = window_changed || update_window_and_padding(win, bias_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -262,7 +262,7 @@ void NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(const
     _func                      = is_bounded_relu ? &NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run<true> : &NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run<false>;
 }
 
-Error NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, min, max));
@@ -271,7 +271,7 @@ Error NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(const
                                                               output->clone().get())
                                 .first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
index 68b81d8a79..7f351020b9 100644
--- a/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.cpp
@@ -40,7 +40,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32);
     ARM_COMPUTE_RETURN_ERROR_ON(max > 255);
@@ -60,10 +60,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, cons
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -89,7 +89,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         window_changed = window_changed || update_window_and_padding(win, bias_access);
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -269,7 +269,7 @@ void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure(const ITensor *inp
     _func                      = is_bounded_relu ? &NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run<true> : &NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run<false>;
 }
 
-Error NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, min, max));
@@ -278,7 +278,7 @@ Error NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo
                                                               output->clone().get())
                                 .first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMLowpReductionKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.cpp
index 81094f8743..0aadfc941c 100644
--- a/src/core/NEON/kernels/NEGEMMLowpReductionKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMLowpReductionKernel.cpp
@@ -46,14 +46,14 @@ class Coordinates;
 
 namespace
 {
-Error validate_arguments_matrix_a_reduction(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments_matrix_a_reduction(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
 
-    return Error{};
+    return Status{};
 }
-std::pair<Error, Window> validate_and_configure_window_matrix_a_reduction(ITensorInfo *input, ITensorInfo *output, bool is_reshaped)
+std::pair<Status, Window> validate_and_configure_window_matrix_a_reduction(ITensorInfo *input, ITensorInfo *output, bool is_reshaped)
 {
     const unsigned int num_elems_processed_per_iteration = is_reshaped ? 4 : 1;
 
@@ -66,19 +66,19 @@ std::pair<Error, Window> validate_and_configure_window_matrix_a_reduction(ITenso
 
     output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
-Error validate_arguments_matrix_b_reduction(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments_matrix_b_reduction(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window_matrix_b_reduction(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window_matrix_b_reduction(ITensorInfo *input, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -92,7 +92,7 @@ std::pair<Error, Window> validate_and_configure_window_matrix_b_reduction(ITenso
 
     output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), output->tensor_shape()));
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -119,13 +119,13 @@ void NEGEMMLowpMatrixAReductionKernel::configure(const ITensor *mtx_a, ITensor *
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMLowpMatrixAReductionKernel::validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row, int32_t num_mtx_a_cols, bool is_interleaved4x4)
+Status NEGEMMLowpMatrixAReductionKernel::validate(const ITensorInfo *mtx_a, const ITensorInfo *vector_sum_row, int32_t num_mtx_a_cols, bool is_interleaved4x4)
 {
     ARM_COMPUTE_UNUSED(num_mtx_a_cols);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_matrix_a_reduction(mtx_a, vector_sum_row));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_matrix_a_reduction(mtx_a->clone().get(), vector_sum_row->clone().get(), is_interleaved4x4).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpMatrixAReductionKernel::run(const Window &window, const ThreadInfo &info)
@@ -266,14 +266,14 @@ void NEGEMMLowpMatrixBReductionKernel::configure(const ITensor *mtx_b, ITensor *
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMLowpMatrixBReductionKernel::validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col, int32_t num_mtx_b_rows, bool is_transposed1xW)
+Status NEGEMMLowpMatrixBReductionKernel::validate(const ITensorInfo *mtx_b, const ITensorInfo *vector_sum_col, int32_t num_mtx_b_rows, bool is_transposed1xW)
 {
     ARM_COMPUTE_UNUSED(num_mtx_b_rows);
     ARM_COMPUTE_UNUSED(is_transposed1xW);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_matrix_b_reduction(mtx_b, vector_sum_col));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_matrix_b_reduction(mtx_b->clone().get(), vector_sum_col->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpMatrixBReductionKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
index 7d79c664d1..a88dc655c1 100644
--- a/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
+++ b/src/core/NEON/kernels/NEGEMMTranspose1xWKernel.cpp
@@ -52,7 +52,7 @@ TensorShape get_output_shape(const ITensorInfo *input)
     return output_shape;
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::U8, DataType::S8,
                                                          DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32,
@@ -67,10 +67,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     const unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
     const int          scale_x                           = num_elems_processed_per_iteration;
@@ -92,7 +92,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         output_access.set_valid_region(win, ValidRegion(Coordinates(0, 0), input->tensor_shape()));
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -116,12 +116,12 @@ void NEGEMMTranspose1xWKernel::configure(const ITensor *input, ITensor *output)
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status NEGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMTranspose1xWKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEIm2ColKernel.cpp b/src/core/NEON/kernels/NEIm2ColKernel.cpp
index 7a9b06ebda..8eb235b360 100644
--- a/src/core/NEON/kernels/NEIm2ColKernel.cpp
+++ b/src/core/NEON/kernels/NEIm2ColKernel.cpp
@@ -42,7 +42,7 @@ using namespace arm_compute;
 
 namespace
 {
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::QS16, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
@@ -51,7 +51,7 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output, co
     ARM_COMPUTE_UNUSED(kernel_dims);
     ARM_COMPUTE_UNUSED(conv_info);
 
-    return Error{};
+    return Status{};
 }
 
 template <typename T, bool has_pads>
@@ -373,10 +373,10 @@ void NEIm2ColKernel::configure(const ITensor *input, ITensor *output, const Size
     IKernel::configure(window);
 }
 
-Error NEIm2ColKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
+Status NEIm2ColKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, kernel_dims, conv_info, has_bias));
-    return Error{};
+    return Status{};
 }
 
 void NEIm2ColKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp b/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
index d765966960..c271032e54 100644
--- a/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
+++ b/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
@@ -54,7 +54,7 @@ const float       scale255_constant      = 1.f / 255.f;
 const float32x4_t scale255_constant_f32q = vdupq_n_f32(scale255_constant);
 const float32x4_t positive_round_f32q    = vdupq_n_f32(0.5f);
 
-inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+inline Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
 {
     ARM_COMPUTE_UNUSED(overflow_policy);
     ARM_COMPUTE_UNUSED(rounding_policy);
@@ -91,10 +91,10 @@ inline Error validate_arguments(const ITensorInfo *input1, const ITensorInfo *in
         ARM_COMPUTE_RETURN_ERROR_ON_MSG(!((normalized_mantissa == 0.5f) && (-14 <= exponent) && (exponent <= 1)), "Scale value not supported (Should be 1/(2^n) or 1/255");
     }
 
-    return Error{};
+    return Status{};
 }
 
-inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
 {
     constexpr unsigned int num_elems_processed_per_iteration = 16;
 
@@ -112,7 +112,7 @@ inline std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input
 
     output_access.set_valid_region(win, valid_region);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -662,13 +662,13 @@ void NEPixelWiseMultiplicationKernel::configure(const ITensor *input1, const ITe
     INEKernel::configure(win_config.second);
 }
 
-Error NEPixelWiseMultiplicationKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy,
-                                                RoundingPolicy rounding_policy)
+Status NEPixelWiseMultiplicationKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy,
+                                                 RoundingPolicy rounding_policy)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, scale, overflow_policy, rounding_policy));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input1->clone().get(), input2->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEPixelWiseMultiplicationKernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/NEON/kernels/NETransposeKernel.cpp b/src/core/NEON/kernels/NETransposeKernel.cpp
index ce46c54546..e84beeeb36 100644
--- a/src/core/NEON/kernels/NETransposeKernel.cpp
+++ b/src/core/NEON/kernels/NETransposeKernel.cpp
@@ -71,7 +71,7 @@ unsigned int num_elems_processed(size_t element_size)
     }
 }
 
-Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32,
                                                          DataType::F16,
@@ -86,10 +86,10 @@ Error validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
     }
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
 {
     const unsigned int num_elems_processed_per_iteration = num_elems_processed(input->element_size());
 
@@ -111,7 +111,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITens
         output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
     }
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 
@@ -247,12 +247,12 @@ void transpose_32bit_elements(const ITensor *in, ITensor *out, const Window &win
 }
 } // namespace
 
-Error NETransposeKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status NETransposeKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
-    return Error{};
+    return Status{};
 }
 
 NETransposeKernel::NETransposeKernel()
diff --git a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp b/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp
index a025cac82d..e996e571ab 100644
--- a/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp
+++ b/src/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.cpp
@@ -52,17 +52,17 @@ namespace
 {
 using namespace arm_compute;
 
-Error validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1);
     ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1);
 
-    return Error{};
+    return Status{};
 }
 
-std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
 {
     // Configure kernel window
     Window win = calculate_max_window(*output);
@@ -77,7 +77,7 @@ std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input0, ITen
                                                     AccessWindowStatic(input1, 0, 0, input1_access_end, input1->tensor_shape().y()),
                                                     output_access);
 
-    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
     return std::make_pair(err, win);
 }
 } // namespace
@@ -105,12 +105,12 @@ void NEGEMMLowpAArch64V8P4Kernel::internal_configure(const ITensor *input0, cons
     INEKernel::configure(win_config.second);
 }
 
-Error NEGEMMLowpAArch64V8P4Kernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
+Status NEGEMMLowpAArch64V8P4Kernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output));
     ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first);
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpAArch64V8P4Kernel::run(const Window &window, const ThreadInfo &info)
diff --git a/src/core/Validate.cpp b/src/core/Validate.cpp
index b286d69454..f495e488e2 100644
--- a/src/core/Validate.cpp
+++ b/src/core/Validate.cpp
@@ -23,8 +23,8 @@
  */
 #include "arm_compute/core/Validate.h"
 
-arm_compute::Error arm_compute::error_on_mismatching_windows(const char *function, const char *file, const int line,
-                                                             const arm_compute::Window &full, const arm_compute::Window &win)
+arm_compute::Status arm_compute::error_on_mismatching_windows(const char *function, const char *file, const int line,
+                                                              const arm_compute::Window &full, const arm_compute::Window &win)
 {
     full.validate();
     win.validate();
@@ -35,11 +35,11 @@ arm_compute::Error arm_compute::error_on_mismatching_windows(const char *functio
         ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].end() != win[i].end(), function, file, line);
         ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].step() != win[i].step(), function, file, line);
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_invalid_subwindow(const char *function, const char *file, const int line,
-                                                           const arm_compute::Window &full, const arm_compute::Window &sub)
+arm_compute::Status arm_compute::error_on_invalid_subwindow(const char *function, const char *file, const int line,
+                                                            const arm_compute::Window &full, const arm_compute::Window &sub)
 {
     full.validate();
     sub.validate();
@@ -51,11 +51,11 @@ arm_compute::Error arm_compute::error_on_invalid_subwindow(const char *function,
         ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[i].step() != sub[i].step(), function, file, line);
         ARM_COMPUTE_RETURN_ERROR_ON_LOC((sub[i].start() - full[i].start()) % sub[i].step(), function, file, line);
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line,
-                                                                             const arm_compute::Window &full, const arm_compute::Window &window, const int dim)
+arm_compute::Status arm_compute::error_on_window_not_collapsable_at_dimension(const char *function, const char *file, const int line,
+                                                                              const arm_compute::Window &full, const arm_compute::Window &window, const int dim)
 {
     full.validate();
     window.validate();
@@ -64,21 +64,21 @@ arm_compute::Error arm_compute::error_on_window_not_collapsable_at_dimension(con
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(window[dim].start() != full[dim].start(), function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(full[dim].end() != window[dim].end(), function, file, line);
 
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line,
-                                                                    const arm_compute::Coordinates &pos, unsigned int max_dim)
+arm_compute::Status arm_compute::error_on_coordinates_dimensions_gte(const char *function, const char *file, const int line,
+                                                                     const arm_compute::Coordinates &pos, unsigned int max_dim)
 {
     for(unsigned int i = max_dim; i < arm_compute::Coordinates::num_max_dimensions; ++i)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_LOC(pos[i] != 0, function, file, line);
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_window_dimensions_gte(const char *function, const char *file, const int line,
-                                                               const arm_compute::Window &win, unsigned int max_dim)
+arm_compute::Status arm_compute::error_on_window_dimensions_gte(const char *function, const char *file, const int line,
+                                                                const arm_compute::Window &win, unsigned int max_dim)
 {
     for(unsigned int i = max_dim; i < arm_compute::Coordinates::num_max_dimensions; ++i)
     {
@@ -86,22 +86,22 @@ arm_compute::Error arm_compute::error_on_window_dimensions_gte(const char *funct
                                             function, file, line,
                                             "Maximum number of dimensions expected %u but dimension %u is not empty", max_dim, i);
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_tensor_not_2d(const char *function, const char *file, const int line,
-                                                       const arm_compute::ITensor *tensor)
+arm_compute::Status arm_compute::error_on_tensor_not_2d(const char *function, const char *file, const int line,
+                                                        const arm_compute::ITensor *tensor)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor == nullptr, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(tensor->info() == nullptr, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG(tensor->info()->num_dimensions() != 2,
                                         function, file, line,
                                         "Only 2D Tensors are supported by this kernel (%d passed)", tensor->info()->num_dimensions());
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_channel_not_in_known_format(const char *function, const char *file, const int line,
-                                                                     arm_compute::Format fmt, arm_compute::Channel cn)
+arm_compute::Status arm_compute::error_on_channel_not_in_known_format(const char *function, const char *file, const int line,
+                                                                      arm_compute::Format fmt, arm_compute::Channel cn)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(fmt == arm_compute::Format::UNKNOWN, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(cn == arm_compute::Channel::UNKNOWN, function, file, line);
@@ -128,11 +128,11 @@ arm_compute::Error arm_compute::error_on_channel_not_in_known_format(const char
         default:
             ARM_COMPUTE_ERROR_LOC(function, file, line, "Not supported format.");
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_invalid_multi_hog(const char *function, const char *file, const int line,
-                                                           const arm_compute::IMultiHOG *multi_hog)
+arm_compute::Status arm_compute::error_on_invalid_multi_hog(const char *function, const char *file, const int line,
+                                                            const arm_compute::IMultiHOG *multi_hog)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(nullptr == multi_hog, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(0 == multi_hog->num_models(), function, file, line);
@@ -150,21 +150,21 @@ arm_compute::Error arm_compute::error_on_invalid_multi_hog(const char *function,
                                             function, file, line,
                                             "All HOG parameters must have the same l2 hysteresis threshold if you use L2 hysteresis normalization type");
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_unconfigured_kernel(const char *function, const char *file, const int line,
-                                                             const arm_compute::IKernel *kernel)
+arm_compute::Status arm_compute::error_on_unconfigured_kernel(const char *function, const char *file, const int line,
+                                                              const arm_compute::IKernel *kernel)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(kernel == nullptr, function, file, line);
     ARM_COMPUTE_RETURN_ERROR_ON_LOC_MSG((kernel->window().x().start() == kernel->window().x().end()) && (kernel->window().x().end() == 0) && (kernel->window().x().step() == 0),
                                         function, file, line,
                                         "This kernel hasn't been configured.");
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_invalid_subtensor(const char *function, const char *file, const int line,
-                                                           const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape)
+arm_compute::Status arm_compute::error_on_invalid_subtensor(const char *function, const char *file, const int line,
+                                                            const TensorShape &parent_shape, const Coordinates &coords, const TensorShape &shape)
 {
     // Subtensor should not index in x, y dimensions.
     ARM_COMPUTE_RETURN_ERROR_ON_LOC(((coords.x() != 0) && (coords.y() != 0)), function, file, line);
@@ -177,11 +177,11 @@ arm_compute::Error arm_compute::error_on_invalid_subtensor(const char *function,
         ARM_COMPUTE_RETURN_ERROR_ON_LOC(((coords[i] >= static_cast<int>(parent_shape[i])) || (coords[i] + static_cast<int>(shape[i]) > static_cast<int>(parent_shape[i]))),
                                         function, file, line);
     }
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line,
-                                                                        const ValidRegion &parent_valid_region, const ValidRegion &valid_region)
+arm_compute::Status arm_compute::error_on_invalid_subtensor_valid_region(const char *function, const char *file, const int line,
+                                                                         const ValidRegion &parent_valid_region, const ValidRegion &valid_region)
 {
     // Check valid regions
     for(unsigned int d = 0; d < TensorShape::num_max_dimensions; ++d)
@@ -191,5 +191,5 @@ arm_compute::Error arm_compute::error_on_invalid_subtensor_valid_region(const ch
                                         function, file, line);
     }
 
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
diff --git a/src/core/utils/quantization/AsymmHelpers.cpp b/src/core/utils/quantization/AsymmHelpers.cpp
index 848ee566f0..8bb6d8e173 100644
--- a/src/core/utils/quantization/AsymmHelpers.cpp
+++ b/src/core/utils/quantization/AsymmHelpers.cpp
@@ -31,9 +31,9 @@ using namespace arm_compute::quantization;
 
 constexpr int64_t fixed_point_one_Q0 = (1ll << 31);
 
-arm_compute::Error arm_compute::quantization::calculate_quantized_multiplier_less_than_one(double multiplier,
-                                                                                           int   *quant_multiplier,
-                                                                                           int   *right_shift)
+arm_compute::Status arm_compute::quantization::calculate_quantized_multiplier_less_than_one(double multiplier,
+                                                                                            int   *quant_multiplier,
+                                                                                            int   *right_shift)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(quant_multiplier == nullptr);
     ARM_COMPUTE_RETURN_ERROR_ON(right_shift == nullptr);
@@ -43,7 +43,7 @@ arm_compute::Error arm_compute::quantization::calculate_quantized_multiplier_les
     {
         *quant_multiplier = 0;
         *right_shift      = 0;
-        return arm_compute::Error{};
+        return arm_compute::Status{};
     }
     const double q = std::frexp(multiplier, right_shift);
     *right_shift *= -1;
@@ -58,12 +58,12 @@ arm_compute::Error arm_compute::quantization::calculate_quantized_multiplier_les
     ARM_COMPUTE_RETURN_ERROR_ON(q_fixed > std::numeric_limits<int32_t>::max());
     *quant_multiplier = static_cast<int32_t>(q_fixed);
 
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
 
-arm_compute::Error arm_compute::quantization::calculate_quantized_multiplier_greater_than_one(double multiplier,
-                                                                                              int   *quantized_multiplier,
-                                                                                              int   *left_shift)
+arm_compute::Status arm_compute::quantization::calculate_quantized_multiplier_greater_than_one(double multiplier,
+                                                                                               int   *quantized_multiplier,
+                                                                                               int   *left_shift)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(quantized_multiplier == nullptr);
     ARM_COMPUTE_RETURN_ERROR_ON(left_shift == nullptr);
@@ -80,5 +80,5 @@ arm_compute::Error arm_compute::quantization::calculate_quantized_multiplier_gre
     ARM_COMPUTE_RETURN_ERROR_ON(q_fixed > std::numeric_limits<int32_t>::max());
     *quantized_multiplier = static_cast<int32_t>(q_fixed);
 
-    return arm_compute::Error{};
+    return arm_compute::Status{};
 }
diff --git a/src/runtime/CL/functions/CLActivationLayer.cpp b/src/runtime/CL/functions/CLActivationLayer.cpp
index 5369a59211..eaf2ca586c 100644
--- a/src/runtime/CL/functions/CLActivationLayer.cpp
+++ b/src/runtime/CL/functions/CLActivationLayer.cpp
@@ -36,7 +36,7 @@ void CLActivationLayer::configure(ICLTensor *input, ICLTensor *output, Activatio
     _kernel = std::move(k);
 }
 
-Error CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
+Status CLActivationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info)
 {
     return CLActivationLayerKernel::validate(input, output, act_info);
 }
diff --git a/src/runtime/CL/functions/CLArithmeticAddition.cpp b/src/runtime/CL/functions/CLArithmeticAddition.cpp
index 5fa0b8c33a..5c2e582ba2 100644
--- a/src/runtime/CL/functions/CLArithmeticAddition.cpp
+++ b/src/runtime/CL/functions/CLArithmeticAddition.cpp
@@ -37,7 +37,7 @@ void CLArithmeticAddition::configure(const ICLTensor *input1, const ICLTensor *i
     _kernel = std::move(k);
 }
 
-Error CLArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status CLArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     return CLArithmeticAdditionKernel::validate(input1, input2, output, policy);
 }
diff --git a/src/runtime/CL/functions/CLArithmeticSubtraction.cpp b/src/runtime/CL/functions/CLArithmeticSubtraction.cpp
index 12a6b80691..5fca30c4f9 100644
--- a/src/runtime/CL/functions/CLArithmeticSubtraction.cpp
+++ b/src/runtime/CL/functions/CLArithmeticSubtraction.cpp
@@ -37,7 +37,7 @@ void CLArithmeticSubtraction::configure(const ICLTensor *input1, const ICLTensor
     _kernel = std::move(k);
 }
 
-Error CLArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status CLArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     return CLArithmeticSubtractionKernel::validate(input1, input2, output, policy);
 }
diff --git a/src/runtime/CL/functions/CLBatchNormalizationLayer.cpp b/src/runtime/CL/functions/CLBatchNormalizationLayer.cpp
index c4e307e541..58215c3c3e 100644
--- a/src/runtime/CL/functions/CLBatchNormalizationLayer.cpp
+++ b/src/runtime/CL/functions/CLBatchNormalizationLayer.cpp
@@ -42,10 +42,10 @@ void CLBatchNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, c
     _norm_kernel.configure(input, output, mean, var, beta, gamma, epsilon);
 }
 
-Error CLBatchNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output,
-                                          const ITensorInfo *mean, const ITensorInfo *var,
-                                          const ITensorInfo *beta, const ITensorInfo *gamma,
-                                          float epsilon)
+Status CLBatchNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                           const ITensorInfo *mean, const ITensorInfo *var,
+                                           const ITensorInfo *beta, const ITensorInfo *gamma,
+                                           float epsilon)
 {
     return CLBatchNormalizationLayerKernel::validate(input, output, mean, var, beta, gamma, epsilon);
 }
diff --git a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp
index 50b7b46d99..d6a335c1ec 100644
--- a/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp
+++ b/src/runtime/CL/functions/CLDirectConvolutionLayer.cpp
@@ -54,7 +54,7 @@ void CLDirectConvolutionLayer::configure(ICLTensor *input, const ICLTensor *weig
     _input_border_handler.configure(input, _direct_conv_kernel.border_size(), BorderMode::CONSTANT, zero_value);
 }
 
-Error CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info)
+Status CLDirectConvolutionLayer::validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info)
 {
     return CLDirectConvolutionLayerKernel::validate(input, weights, biases, output, conv_info, CLScheduler::get().target());
 }
diff --git a/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp b/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
index f26ff5f938..16d8678386 100644
--- a/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
+++ b/src/runtime/CL/functions/CLGEMMLowpOutputStage.cpp
@@ -37,7 +37,7 @@ void CLGEMMLowpQuantizeDownInt32ToUint8Scale::configure(const ICLTensor *input,
     _kernel = std::move(k);
 }
 
-Error CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status CLGEMMLowpQuantizeDownInt32ToUint8Scale::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     return CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(input, bias, output, min, max);
 }
@@ -50,7 +50,7 @@ void CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const ICLTen
     _kernel = std::move(k);
 }
 
-Error CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     return CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(input, bias, output, min, max);
 }
 \ No newline at end of file
diff --git a/src/runtime/CL/functions/CLNormalizationLayer.cpp b/src/runtime/CL/functions/CLNormalizationLayer.cpp
index eefdec4ba4..32d8f15344 100644
--- a/src/runtime/CL/functions/CLNormalizationLayer.cpp
+++ b/src/runtime/CL/functions/CLNormalizationLayer.cpp
@@ -48,7 +48,7 @@ void CLNormalizationLayer::configure(ICLTensor *input, ICLTensor *output, const
     _border_handler.configure(input, _norm_kernel.border_size(), BorderMode::CONSTANT, PixelValue(0));
 }
 
-Error CLNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info)
+Status CLNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const NormalizationLayerInfo &norm_info)
 {
     return CLNormalizationLayerKernel::validate(input, output, norm_info);
 }
diff --git a/src/runtime/CL/functions/CLPixelWiseMultiplication.cpp b/src/runtime/CL/functions/CLPixelWiseMultiplication.cpp
index 164ff153ed..c78f94476e 100644
--- a/src/runtime/CL/functions/CLPixelWiseMultiplication.cpp
+++ b/src/runtime/CL/functions/CLPixelWiseMultiplication.cpp
@@ -38,8 +38,8 @@ void CLPixelWiseMultiplication::configure(const ICLTensor *input1, const ICLTens
     _kernel = std::move(k);
 }
 
-Error CLPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
-                                          ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+Status CLPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+                                           ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
 {
     return CLPixelWiseMultiplicationKernel::validate(input1, input2, output, scale, overflow_policy, rounding_policy);
 }
 \ No newline at end of file
diff --git a/src/runtime/CL/functions/CLPoolingLayer.cpp b/src/runtime/CL/functions/CLPoolingLayer.cpp
index 20564f6c9d..2341633362 100644
--- a/src/runtime/CL/functions/CLPoolingLayer.cpp
+++ b/src/runtime/CL/functions/CLPoolingLayer.cpp
@@ -52,7 +52,7 @@ void CLPoolingLayer::configure(ICLTensor *input, ICLTensor *output, const Poolin
     _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(border_value));
 }
 
-Error CLPoolingLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
+Status CLPoolingLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info)
 {
     return CLPoolingLayerKernel::validate(input, output, pool_info);
 }
 \ No newline at end of file
diff --git a/src/runtime/CL/functions/CLSoftmaxLayer.cpp b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
index f74b778e95..414c4d6ce5 100644
--- a/src/runtime/CL/functions/CLSoftmaxLayer.cpp
+++ b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
@@ -84,7 +84,7 @@ void CLSoftmaxLayer::configure(const ICLTensor *input, ICLTensor *output, float
     _sum.allocator()->allocate();
 }
 
-Error CLSoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status CLSoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
 
@@ -109,7 +109,7 @@ Error CLSoftmaxLayer::validate(const ITensorInfo *input, const ITensorInfo *outp
     }
     ARM_COMPUTE_RETURN_ON_ERROR(CLLogits1DNormKernel::validate(&tensor_info_tmp, &tensor_info_sum, output));
 
-    return Error{};
+    return Status{};
 }
 
 void CLSoftmaxLayer::run()
diff --git a/src/runtime/CL/functions/CLTranspose.cpp b/src/runtime/CL/functions/CLTranspose.cpp
index ad5c04124d..ecb59f7d46 100644
--- a/src/runtime/CL/functions/CLTranspose.cpp
+++ b/src/runtime/CL/functions/CLTranspose.cpp
@@ -37,7 +37,7 @@ void CLTranspose::configure(const ICLTensor *input, ICLTensor *output)
     _kernel = std::move(k);
 }
 
-Error CLTranspose::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status CLTranspose::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     return CLTransposeKernel::validate(input, output);
 }
 \ No newline at end of file
diff --git a/src/runtime/CPP/functions/CPPPermute.cpp b/src/runtime/CPP/functions/CPPPermute.cpp
index 5b92718542..bafcd2fec9 100644
--- a/src/runtime/CPP/functions/CPPPermute.cpp
+++ b/src/runtime/CPP/functions/CPPPermute.cpp
@@ -35,7 +35,7 @@ void CPPPermute::configure(const ITensor *input, ITensor *output, const Permutat
     _kernel = std::move(k);
 }
 
-Error CPPPermute::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
+Status CPPPermute::validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
 {
     return CPPPermuteKernel::validate(input, output, perm);
 }
diff --git a/src/runtime/NEON/functions/NEArithmeticAddition.cpp b/src/runtime/NEON/functions/NEArithmeticAddition.cpp
index 85119ea17d..b5dd4d0d06 100644
--- a/src/runtime/NEON/functions/NEArithmeticAddition.cpp
+++ b/src/runtime/NEON/functions/NEArithmeticAddition.cpp
@@ -36,7 +36,7 @@ void NEArithmeticAddition::configure(const ITensor *input1, const ITensor *input
     k->configure(input1, input2, output, policy);
     _kernel = std::move(k);
 }
-Error NEArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status NEArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     return NEArithmeticAdditionKernel::validate(input1, input2, output, policy);
 }
diff --git a/src/runtime/NEON/functions/NEArithmeticSubtraction.cpp b/src/runtime/NEON/functions/NEArithmeticSubtraction.cpp
index be264d54b4..5c0491ec6f 100644
--- a/src/runtime/NEON/functions/NEArithmeticSubtraction.cpp
+++ b/src/runtime/NEON/functions/NEArithmeticSubtraction.cpp
@@ -36,7 +36,7 @@ void NEArithmeticSubtraction::configure(const ITensor *input1, const ITensor *in
     k->configure(input1, input2, output, policy);
     _kernel = std::move(k);
 }
-Error NEArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
+Status NEArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
 {
     return NEArithmeticSubtractionKernel::validate(input1, input2, output, policy);
 }
diff --git a/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp b/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
index cfab12c33b..f6be00169d 100644
--- a/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
+++ b/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
@@ -43,8 +43,8 @@ void NEBatchNormalizationLayer::configure(ITensor *input, ITensor *output, const
     _norm_kernel.configure(input, output, mean, var, beta, gamma, epsilon);
 }
 
-Error NEBatchNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma,
-                                          float epsilon)
+Status NEBatchNormalizationLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *var, const ITensorInfo *beta, const ITensorInfo *gamma,
+                                           float epsilon)
 {
     return NEBatchNormalizationLayerKernel::validate(input, output, mean, var, beta, gamma, epsilon);
 }
diff --git a/src/runtime/NEON/functions/NECol2Im.cpp b/src/runtime/NEON/functions/NECol2Im.cpp
index 2a923f3730..78c6bc0475 100644
--- a/src/runtime/NEON/functions/NECol2Im.cpp
+++ b/src/runtime/NEON/functions/NECol2Im.cpp
@@ -35,7 +35,7 @@ void NECol2Im::configure(const ITensor *input, ITensor *output, const Size2D &co
     _kernel = std::move(k);
 }
 
-Error NECol2Im::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
+Status NECol2Im::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &convolved_dims)
 {
     return NECol2ImKernel::validate(input, output, convolved_dims);
 }
diff --git a/src/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.cpp b/src/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.cpp
index a18f48d9a7..bee3831353 100644
--- a/src/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.cpp
+++ b/src/runtime/NEON/functions/NEGEMMLowpMatrixMultiplyCore.cpp
@@ -199,7 +199,7 @@ void NEGEMMLowpMatrixMultiplyCore::configure(const ITensor *a, const ITensor *b,
     }
 }
 
-Error NEGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *output, const GEMMInfo &gemm_info)
+Status NEGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *output, const GEMMInfo &gemm_info)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::QASYMM8);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
@@ -287,7 +287,7 @@ Error NEGEMMLowpMatrixMultiplyCore::validate(const ITensorInfo *a, const ITensor
                                                                              b_offset == 0 ? nullptr : &info_vector_sum_row,
                                                                              a_offset, b_offset));
 
-    return Error{};
+    return Status{};
 }
 
 void NEGEMMLowpMatrixMultiplyCore::run()
diff --git a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
index 53e5ae2f5a..8c02436bec 100644
--- a/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
+++ b/src/runtime/NEON/functions/NEGEMMLowpOutputStage.cpp
@@ -37,7 +37,7 @@ void NEGEMMLowpQuantizeDownInt32ToUint8Scale::configure(const ITensor *input, co
     _kernel = std::move(k);
 }
 
-Error NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status NEGEMMLowpQuantizeDownInt32ToUint8Scale::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     return NEGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(input, bias, output, min, max);
 }
@@ -50,7 +50,7 @@ void NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::configure(const ITenso
     _kernel = std::move(k);
 }
 
-Error NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
+Status NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max)
 {
     return NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::validate(input, bias, output, min, max);
 }
 \ No newline at end of file
diff --git a/src/runtime/NEON/functions/NEIm2Col.cpp b/src/runtime/NEON/functions/NEIm2Col.cpp
index 354415daa3..8e90e66dcc 100644
--- a/src/runtime/NEON/functions/NEIm2Col.cpp
+++ b/src/runtime/NEON/functions/NEIm2Col.cpp
@@ -35,7 +35,7 @@ void NEIm2Col::configure(const ITensor *input, ITensor *output, const Size2D &ke
     _kernel = std::move(k);
 }
 
-Error NEIm2Col::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
+Status NEIm2Col::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
 {
     return NEIm2ColKernel::validate(input, output, kernel_dims, conv_info, has_bias);
 }
diff --git a/src/runtime/NEON/functions/NEPixelWiseMultiplication.cpp b/src/runtime/NEON/functions/NEPixelWiseMultiplication.cpp
index 9cd9d59c79..5a474e4a83 100644
--- a/src/runtime/NEON/functions/NEPixelWiseMultiplication.cpp
+++ b/src/runtime/NEON/functions/NEPixelWiseMultiplication.cpp
@@ -36,7 +36,7 @@ void NEPixelWiseMultiplication::configure(const ITensor *input1, const ITensor *
     k->configure(input1, input2, output, scale, overflow_policy, rounding_policy);
     _kernel = std::move(k);
 }
-Error NEPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
+Status NEPixelWiseMultiplication::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale, ConvertPolicy overflow_policy, RoundingPolicy rounding_policy)
 {
     return NEPixelWiseMultiplicationKernel::validate(input1, input2, output, scale, overflow_policy, rounding_policy);
 }
diff --git a/src/runtime/NEON/functions/NETranspose.cpp b/src/runtime/NEON/functions/NETranspose.cpp
index 14bca69f33..b5b28e8e18 100644
--- a/src/runtime/NEON/functions/NETranspose.cpp
+++ b/src/runtime/NEON/functions/NETranspose.cpp
@@ -37,7 +37,7 @@ void NETranspose::configure(const ITensor *input, ITensor *output)
     _kernel = std::move(k);
 }
 
-Error NETranspose::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status NETranspose::validate(const ITensorInfo *input, const ITensorInfo *output)
 {
     return NETransposeKernel::validate(input, output);
 }
 \ No newline at end of file
diff --git a/src/runtime/TensorAllocator.cpp b/src/runtime/TensorAllocator.cpp
index 25bd479c84..a0d41b28ee 100644
--- a/src/runtime/TensorAllocator.cpp
+++ b/src/runtime/TensorAllocator.cpp
@@ -152,14 +152,14 @@ void TensorAllocator::free()
     info().set_is_resizable(true);
 }
 
-arm_compute::Error TensorAllocator::import_memory(Memory memory)
+arm_compute::Status TensorAllocator::import_memory(Memory memory)
 {
     ARM_COMPUTE_RETURN_ERROR_ON(memory.buffer() == nullptr);
     ARM_COMPUTE_RETURN_ERROR_ON(_associated_memory_group != nullptr);
     _memory = memory;
     info().set_is_resizable(false);
 
-    return Error{};
+    return Status{};
 }
 
 void TensorAllocator::set_associated_memory_group(MemoryGroup *associated_memory_group)
author	Georgios Pinitas <georgios.pinitas@arm.com>	2017-12-06 11:53:03 +0000
committer	Anthony Barbier <anthony.barbier@arm.com>	2018-11-02 16:42:17 +0000
commit	631c41a4e3645a948b0f597caa77e8fa91ca0efc (patch)
tree	164fd113818b8e890fc16bad97240056cb71e747 /src
parent	57f249b08fd65af761d5c8bfe62de117d67a14c7 (diff)
download	ComputeLibrary-631c41a4e3645a948b0f597caa77e8fa91ca0efc.tar.gz