COMPMID-617 Add validation window to BatchNormalization, PixelwiseMultiplication, ArithmeticOps

Change-Id: I306bd23fcd9b7eb7a248dc762aae899b28300b90
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110763
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

8 files changed, 310 insertions, 209 deletions

diff --git a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
index a7625f4303..831389e3b6 100644
--- a/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
+++ b/src/core/CL/kernels/CLArithmeticAdditionKernel.cpp
@@ -41,6 +41,51 @@
 
 using namespace arm_compute;
 
+namespace
+{
+Error 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);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
+
+    // Validate in case of configured output
+    if((output != nullptr) && (output->total_size() != 0))
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
+                                        "Output can only be U8 if both inputs are U8");
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
+    }
+
+    return Error{};
+}
+
+std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+{
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+
+    Window win = calculate_max_window(*input1, Steps(num_elems_processed_per_iteration));
+
+    AccessWindowHorizontal input1_access(input1, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal input2_access(input2, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+
+    bool window_changed = update_window_and_padding(win, input1_access, input2_access, output_access);
+
+    ValidRegion valid_region = intersect_valid_regions(input1->valid_region(),
+                                                       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{};
+    return std::make_pair(err, win);
+}
+} // namespace
+
 CLArithmeticAdditionKernel::CLArithmeticAdditionKernel()
     : _input1(nullptr), _input2(nullptr), _output(nullptr)
 {
@@ -91,41 +136,15 @@ void CLArithmeticAdditionKernel::configure(const ICLTensor *input1, const ICLTen
     _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("arithmetic_add", build_opts));
 
     // Configure kernel window
-    constexpr unsigned int num_elems_processed_per_iteration = 16;
-
-    Window win = calculate_max_window(*input1->info(), Steps(num_elems_processed_per_iteration));
-
-    AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal input2_access(input2->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
-
-    update_window_and_padding(win, input1_access, input2_access, output_access);
-
-    ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(),
-                                                       input2->info()->valid_region());
-
-    output_access.set_valid_region(win, valid_region);
-
-    ICLKernel::configure(win);
+    auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info());
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    ICLKernel::configure(win_config.second);
 }
 
 Error CLArithmeticAdditionKernel::validate(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);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
-
-    // Validate in case of configured output
-    if((output != nullptr) && (output->total_size() != 0))
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
-                                        "Output can only be U8 if both inputs are U8");
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
-    }
+    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{};
 }
diff --git a/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp b/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
index 47d77ad8a9..5603451ca0 100644
--- a/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
+++ b/src/core/CL/kernels/CLArithmeticSubtractionKernel.cpp
@@ -38,6 +38,50 @@
 
 using namespace arm_compute;
 
+namespace
+{
+Error 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);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
+
+    // Validate in case of configured output
+    if((output != nullptr) && (output->total_size() != 0))
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
+                                        "Output can only be U8 if both inputs are U8");
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
+    }
+
+    return Error{};
+}
+
+std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+{
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+
+    Window                 win = calculate_max_window(*input1, Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal input1_access(input1, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal input2_access(input2, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+
+    bool window_changed = update_window_and_padding(win, input1_access, input2_access, output_access);
+
+    ValidRegion valid_region = intersect_valid_regions(input1->valid_region(),
+                                                       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{};
+    return std::make_pair(err, win);
+}
+} // namespace
+
 CLArithmeticSubtractionKernel::CLArithmeticSubtractionKernel()
     : _input1(nullptr), _input2(nullptr), _output(nullptr)
 {
@@ -84,40 +128,15 @@ void CLArithmeticSubtractionKernel::configure(const ICLTensor *input1, const ICL
     _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("arithmetic_sub", build_opts));
 
     // Configure kernel window
-    constexpr unsigned int num_elems_processed_per_iteration = 16;
-
-    Window                 win = calculate_max_window(*input1->info(), Steps(num_elems_processed_per_iteration));
-    AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal input2_access(input2->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
-
-    update_window_and_padding(win, input1_access, input2_access, output_access);
-
-    ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(),
-                                                       input2->info()->valid_region());
-
-    output_access.set_valid_region(win, valid_region);
-
-    ICLKernel::configure(win);
+    auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info());
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    ICLKernel::configure(win_config.second);
 }
 
 Error CLArithmeticSubtractionKernel::validate(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);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
-
-    // Validate in case of configured output
-    if((output != nullptr) && (output->total_size() != 0))
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
-                                        "Output can only be U8 if both inputs are U8");
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
-    }
+    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{};
 }
diff --git a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
index f17091166c..38e367dfb7 100644
--- a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
+++ b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp
@@ -37,6 +37,55 @@
 
 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)
+{
+    ARM_COMPUTE_UNUSED(epsilon);
+    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_MISMATCHING_SHAPES(mean, var, beta, gamma);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, var, beta, gamma);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, mean, var, beta, gamma);
+    ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != mean->dimension(0));
+
+    if(output != nullptr && output->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
+    }
+
+    return Error{};
+}
+
+std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
+{
+    const unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
+
+    // Configure kernel window
+    Window                 win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
+
+    bool window_changed;
+    if(output != nullptr)
+    {
+        AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+        window_changed = update_window_and_padding(win, input_access, output_access);
+        output_access.set_valid_region(win, input->valid_region());
+    }
+    else
+    {
+        window_changed = update_window_and_padding(win, input_access);
+    }
+
+    Error err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Error{};
+    return std::make_pair(err, win);
+}
+} // namespace
+
 CLBatchNormalizationLayerKernel::CLBatchNormalizationLayerKernel()
     : _input(nullptr), _output(nullptr), _mean(nullptr), _var(nullptr), _beta(nullptr), _gamma(nullptr), _epsilon(0)
 {
@@ -85,19 +134,9 @@ void CLBatchNormalizationLayerKernel::configure(ICLTensor *input, ICLTensor *out
     _kernel.setArg<cl_float>(idx++, _epsilon);
 
     // Configure kernel window
-    Window                 win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
-    AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
-    if(output != nullptr)
-    {
-        AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
-        update_window_and_padding(win, input_access, output_access);
-        output_access.set_valid_region(win, input->info()->valid_region());
-    }
-    else
-    {
-        update_window_and_padding(win, input_access);
-    }
-    ICLKernel::configure(win);
+    auto win_config = validate_and_configure_window(input->info(), (output == nullptr) ? nullptr : output->info());
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    ICLKernel::configure(win_config.second);
 }
 
 Error CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
@@ -105,19 +144,8 @@ Error CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const
                                                 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);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, var, beta, gamma);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, var, beta, gamma);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, mean, var, beta, gamma);
-    ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != mean->dimension(0));
-
-    if(output != nullptr && output->total_size() != 0)
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
-    }
+    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{};
 }
diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
index 5e35c8c1ff..a466fa41b4 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -40,6 +40,65 @@
 
 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)
+{
+    ARM_COMPUTE_UNUSED(overflow_policy);
+    ARM_COMPUTE_UNUSED(rounding_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);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale < 0, "Scale cannot be negative.");
+
+    if(is_data_type_fixed_point(input1->data_type()))
+    {
+        // All data types must be all QS8 or all QS16
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2);
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale != 1, "Unsupported scaling factor for QS8/QS16. Scale must be 1.");
+    }
+
+    // Validate in case of configured output
+    if((output != nullptr) && (output->total_size() != 0))
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
+                                        "Output can only be U8 if both inputs are U8");
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
+        if(is_data_type_fixed_point(input1->data_type()))
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
+        }
+    }
+
+    return Error{};
+}
+
+std::pair<Error, Window> validate_and_configure_window(ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
+{
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+
+    Window win = calculate_max_window(*input1, Steps(num_elems_processed_per_iteration));
+
+    AccessWindowHorizontal input1_access(input1, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal input2_access(input2, 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
+
+    bool window_changed = update_window_and_padding(win, input1_access, input2_access, output_access);
+
+    ValidRegion valid_region = intersect_valid_regions(input1->valid_region(),
+                                                       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{};
+    return std::make_pair(err, win);
+}
+} // namespace
+
 CLPixelWiseMultiplicationKernel::CLPixelWiseMultiplicationKernel()
     : _input1(nullptr), _input2(nullptr), _output(nullptr)
 {
@@ -149,55 +208,16 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
     }
 
     // Configure kernel window
-    constexpr unsigned int num_elems_processed_per_iteration = 16;
-
-    Window win = calculate_max_window(*input1->info(), Steps(num_elems_processed_per_iteration));
-
-    AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal input2_access(input2->info(), 0, num_elems_processed_per_iteration);
-    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
-
-    update_window_and_padding(win, input1_access, input2_access, output_access);
-
-    ValidRegion valid_region = intersect_valid_regions(input1->info()->valid_region(),
-                                                       input2->info()->valid_region());
-    output_access.set_valid_region(win, valid_region);
-
-    ICLKernel::configure(win);
+    auto win_config = validate_and_configure_window(input1->info(), input2->info(), output->info());
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    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)
 {
-    ARM_COMPUTE_UNUSED(overflow_policy);
-    ARM_COMPUTE_UNUSED(rounding_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);
-    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, input2);
-    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, input2);
-    ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale < 0, "Scale cannot be negative.");
-
-    if(is_data_type_fixed_point(input1->data_type()))
-    {
-        // All data types must be all QS8 or all QS16
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2);
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale != 1, "Unsupported scaling factor for QS8/QS16. Scale must be 1.");
-    }
-
-    // Validate in case of configured output
-    if((output != nullptr) && (output->total_size() != 0))
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
-        ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->data_type() == DataType::U8 && (input1->data_type() != DataType::U8 || input2->data_type() != DataType::U8),
-                                        "Output can only be U8 if both inputs are U8");
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input1, output);
-        if(is_data_type_fixed_point(input1->data_type()))
-        {
-            ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
-        }
-    }
+    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{};
 }
diff --git a/tests/validation/CL/ArithmeticAddition.cpp b/tests/validation/CL/ArithmeticAddition.cpp
index 19ccdaf111..61b3b06d74 100644
--- a/tests/validation/CL/ArithmeticAddition.cpp
+++ b/tests/validation/CL/ArithmeticAddition.cpp
@@ -64,31 +64,34 @@ TEST_SUITE(ArithmeticAddition)
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
-               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Window shrink
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                       }),
-               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
+               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("Expected", { false, false, true, true, true, false })),
+               framework::dataset::make("Expected", { false, false, true, true, true, true, false })),
                input1_info, input2_info, output_info, expected)
 {
-    ARM_COMPUTE_EXPECT(bool(CLArithmeticAddition::validate(&input1_info, &input2_info, &output_info, ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(bool(CLArithmeticAddition::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
 }
 // clang-format on
 // *INDENT-ON*
diff --git a/tests/validation/CL/ArithmeticSubtraction.cpp b/tests/validation/CL/ArithmeticSubtraction.cpp
index a068c8a357..9a290cfe30 100644
--- a/tests/validation/CL/ArithmeticSubtraction.cpp
+++ b/tests/validation/CL/ArithmeticSubtraction.cpp
@@ -71,31 +71,34 @@ TEST_SUITE(ArithmeticSubtraction)
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
-               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Window shrink
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                       }),
-               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
+               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("Expected", { false, false, true, true, true, false })),
+               framework::dataset::make("Expected", { false, false, true, true, true, true, false })),
                input1_info, input2_info, output_info, expected)
 {
-    ARM_COMPUTE_EXPECT(bool(CLArithmeticSubtraction::validate(&input1_info, &input2_info, &output_info, ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(bool(CLArithmeticSubtraction::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
 }
 // clang-format on
 // *INDENT-ON*
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp
index 6884131582..4976c1c1a6 100644
--- a/tests/validation/CL/BatchNormalizationLayer.cpp
+++ b/tests/validation/CL/BatchNormalizationLayer.cpp
@@ -81,35 +81,41 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
-               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Mismatching data types
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Mismatching data types
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Invalid mean/var/beta/gamma shape
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Window shrink
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),    // Mismatching data types
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),    // Mismatching data types
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),    // Invalid mean/var/beta/gamma shape
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2), // Mismatching fixed point position
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      }),
-               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(),
                                                      })),
                framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32),
+                                                     TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                      TensorInfo(TensorShape(2U), 1, DataType::F16),
                                                      TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                      TensorInfo(TensorShape(5U), 1, DataType::F32),
                                                      TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),
                                                      TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),
+                                                     TensorInfo(TensorShape(2U), 1, DataType::QS8, 2),
                                                    })),
-               framework::dataset::make("Expected", { false, true, true, true, true, false})),
+               framework::dataset::make("Expected", { false, true, true, true, true, true, false, false})),
                input_info, output_info, mvbg_info, expected)
 {
-    auto mean_info = mvbg_info;
-    auto var_info = mvbg_info;
-    auto beta_info = mvbg_info;
-    auto gamma_info = mvbg_info;
-    bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info, &output_info, &mean_info, &var_info, &beta_info, &gamma_info, 1.f));
+    const auto &mean_info = mvbg_info;
+    const auto &var_info = mvbg_info;
+    const auto &beta_info = mvbg_info;
+    const auto &gamma_info = mvbg_info;
+    bool has_error = bool(CLBatchNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &var_info.clone()->set_is_resizable(false), &beta_info.clone()->set_is_resizable(false), &gamma_info.clone()->set_is_resizable(false), 1.f));
     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
 }
 // clang-format on
diff --git a/tests/validation/CL/PixelWiseMultiplication.cpp b/tests/validation/CL/PixelWiseMultiplication.cpp
index d49462a7f7..79e30c1754 100644
--- a/tests/validation/CL/PixelWiseMultiplication.cpp
+++ b/tests/validation/CL/PixelWiseMultiplication.cpp
@@ -93,38 +93,41 @@ TEST_SUITE(PixelWiseMultiplication)
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
-               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Invalid scale
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching data type
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
-                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),  // Invalid scale
+               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),      // Window shrink
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),      // Invalid scale
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching data type
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),  // Mismatching fixed point
+                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),  // Invalid scale
                                                       }),
-               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
+               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS16, 2),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS16, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S16),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
+               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
-                                                       TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 3),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
-                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
+                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 3),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
+                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QS8, 2),
                                                      })),
-               framework::dataset::make("Scale",{  2.f, 2.f, -1.f, 1.f, 1.f, 1.f, 1.f, 3.f})),
-               framework::dataset::make("Expected", { false, false, true, true, true, true, true, true })),
+               framework::dataset::make("Scale",{  2.f, 2.f, 2.f, -1.f, 1.f, 1.f, 1.f, 1.f, 3.f})),
+               framework::dataset::make("Expected", { false, false, true, true, true, true, true, true, true })),
                input1_info, input2_info, output_info, scale, expected)
 {
-    bool has_error = bool(CLPixelWiseMultiplication::validate(&input1_info, &input2_info, &output_info, scale, ConvertPolicy::WRAP, RoundingPolicy::TO_ZERO));
+    bool has_error = bool(CLPixelWiseMultiplication::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), scale, ConvertPolicy::WRAP, RoundingPolicy::TO_ZERO));
     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
 }
 // clang-format on