diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp
index 84a2b01..7727d90 100644
--- a/tests/validation/CL/DeconvolutionLayer.cpp
+++ b/tests/validation/CL/DeconvolutionLayer.cpp
@@ -23,6 +23,7 @@
  */
 #include "arm_compute/core/CL/kernels/CLFillBorderKernel.h"
 #include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "arm_compute/runtime/CL/CLTensor.h"
 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
 #include "arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h"
@@ -45,7 +46,7 @@
 {
 constexpr AbsoluteTolerance<float>  tolerance_fp32(0.001f);               /**< Tolerance for floating point tests */
 RelativeTolerance<half_float::half> tolerance_f16(half_float::half(0.2)); /**< Tolerance value for comparing reference's for DataType::F16 */
-constexpr AbsoluteTolerance<float>  tolerance_qasymm8(1.0);               /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
+constexpr AbsoluteTolerance<float>  tolerance_qasymm8(0.0);               /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
 constexpr float                     tolerance_num = 0.07f;                /**< Tolerance number */
 
 const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 5) * framework::dataset::make("StrideY", 1, 5) * framework::dataset::make("PadX", 0, 3)
@@ -57,6 +58,7 @@
 const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
                      * framework::dataset::make("PadY", 0, 1) * framework::dataset::make("ax", 0) * framework::dataset::make("ay", 0) * framework::dataset::make("NumKernels", { 1, 3 });
 
+const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
 } // namespace
 
 TEST_SUITE(CL)
@@ -72,7 +74,7 @@
     const TensorShape  weights_shape(kernel_size_x, kernel_size_y, input_shape.z(), num_kernels);
     const TensorShape  bias_shape(num_kernels);
     auto               out_dim      = deconvolution_output_dimensions(input_shape.x(), input_shape.y(), kernel_size_x, kernel_size_y, 1, 1, 1, 1);
-    TensorShape        output_shape = deconvolution_output_shape(out_dim, input_shape, weights_shape);
+    TensorShape        output_shape = compute_deconvolution_output_shape(out_dim, TensorInfo(input_shape, 1, data_type), TensorInfo(weights_shape, 1, data_type));
 
     // Create tensors
     CLTensor src     = create_tensor<CLTensor>(input_shape, data_type, 1);
@@ -169,7 +171,7 @@
 TEST_SUITE(FP32)
 
 TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::ALL, combine(data4x4, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<float>, framework::DatasetMode::ALL, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -177,7 +179,7 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL, combine(data3x3, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -185,7 +187,7 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::ALL, combine(data1x1, framework::dataset::make("DataType", DataType::F32)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::ALL, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -197,7 +199,7 @@
 TEST_SUITE(FP16)
 
 TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::ALL, combine(data4x4, framework::dataset::make("DataType", DataType::F16)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::ALL, combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -205,7 +207,7 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::ALL, combine(data3x3, framework::dataset::make("DataType", DataType::F16)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::ALL, combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -213,7 +215,7 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::ALL, combine(data1x1, framework::dataset::make("DataType", DataType::F16)))
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::ALL, combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)), data_layouts_dataset))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -236,7 +238,8 @@
 TEST_SUITE(QASYMM8)
 
 TEST_SUITE(W4x4)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::ALL, combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8)),
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture4x4<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::QASYMM8)),
+                                                                                                                   data_layouts_dataset),
                                                                                                                    framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
 {
     // Validate output
@@ -245,7 +248,8 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W3x3)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::ALL, combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8)),
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::QASYMM8)),
+                                                                                                                   data_layouts_dataset),
                                                                                                                    framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
 {
     // Validate output
@@ -254,7 +258,8 @@
 TEST_SUITE_END()
 
 TEST_SUITE(W1x1)
-FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::ALL, combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8)),
+FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerQuantizedFixture1x1<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::QASYMM8)),
+                                                                                                                   data_layouts_dataset),
                                                                                                                    framework::dataset::make("QuantizationInfo", QuantizationInfo(2.f / 255.f, 0))))
 {
     // Validate output