diff --git a/src/gpu/cl/kernels/ClWeightsReshapeKernel.cpp b/src/gpu/cl/kernels/ClWeightsReshapeKernel.cpp
new file mode 100644
index 0000000..8f36345
--- /dev/null
+++ b/src/gpu/cl/kernels/ClWeightsReshapeKernel.cpp
@@ -0,0 +1,164 @@
+/*
+ * Copyright (c) 2017-2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/gpu/cl/kernels/ClWeightsReshapeKernel.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "support/StringSupport.h"
+
+namespace arm_compute
+{
+using namespace misc::shape_calculator;
+namespace opencl
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *biases, const ITensorInfo *output, unsigned int num_groups)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
+    ARM_COMPUTE_RETURN_ERROR_ON(num_groups == 0);
+    ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::NHWC && num_groups > 1);
+    ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4 && num_groups > 1);
+    ARM_COMPUTE_RETURN_ERROR_ON((input->dimension(3) % num_groups) != 0);
+
+    if(biases != nullptr)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(!is_data_type_float(input->data_type()));
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases);
+        ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->num_dimensions() != 1));
+        ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->num_dimensions() != 2));
+        ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 4) && (biases->dimension(0) != input->tensor_shape()[3]));
+        ARM_COMPUTE_RETURN_ERROR_ON((input->num_dimensions() == 5) && (biases->dimension(0) != input->tensor_shape()[3] || biases->dimension(1) != input->tensor_shape()[4]));
+    }
+
+    // Checks performed when output is configured
+    if(output->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), compute_weights_reshaped_shape(*input, biases != nullptr, num_groups));
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
+    }
+
+    return Status{};
+}
+} // namespace
+
+ClWeightsReshapeKernel::ClWeightsReshapeKernel()
+{
+    _type = CLKernelType::ELEMENTWISE;
+}
+
+void ClWeightsReshapeKernel::configure(const ClCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *biases, ITensorInfo *dst, unsigned int num_groups)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+    // Output tensor auto inizialitation if not yet initialized
+    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_weights_reshaped_shape(*src, (biases != nullptr), num_groups)));
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, biases, dst, num_groups));
+    auto padding_info = get_padding_info({ src, biases, dst });
+
+    const DataType data_type = src->data_type();
+
+    // Create build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(data_type)));
+    build_opts.add_option("-DNUM_GROUPS=" + support::cpp11::to_string(num_groups));
+    build_opts.add_option_if(biases != nullptr, "-DHAS_BIAS");
+
+    // Create kernel
+    _kernel = create_kernel(compile_context, "reshape_to_columns", build_opts.options());
+
+    // Configure window
+    Window win = calculate_max_window(*src, Steps());
+    ICLKernel::configure_internal(win);
+
+    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClWeightsReshapeKernel::validate(const ITensorInfo *src, const ITensorInfo *biases, const ITensorInfo *dst, unsigned int num_groups)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, biases, dst, num_groups));
+    return Status{};
+}
+
+void ClWeightsReshapeKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
+
+    auto src    = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+    auto biases = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_BIAS));
+    auto dst    = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+
+    Window out_window;
+    out_window.use_tensor_dimensions(dst->info()->tensor_shape());
+
+    Window in_slice  = window.first_slice_window_3D();
+    Window out_slice = out_window.first_slice_window_2D();
+
+    Window biases_window;
+    Window biases_slice;
+
+    unsigned int idx = num_arguments_per_3D_tensor() + num_arguments_per_2D_tensor();
+    idx += (biases != nullptr) ? num_arguments_per_1D_tensor() : 0;
+    _kernel.setArg<cl_uint>(idx++, src->info()->dimension(0));
+    _kernel.setArg<cl_uint>(idx++, src->info()->dimension(1));
+    _kernel.setArg<cl_uint>(idx++, src->info()->dimension(2));
+    _kernel.setArg<cl_uint>(idx++, src->info()->dimension(3));
+    _kernel.setArg<cl_uint>(idx++, dst->info()->strides_in_bytes().z());
+
+    if(biases != nullptr)
+    {
+        biases_window.use_tensor_dimensions(biases->info()->tensor_shape());
+        biases_slice = biases_window.first_slice_window_1D();
+    }
+
+    do
+    {
+        // Set arguments
+        unsigned idx = 0;
+        add_3D_tensor_argument(idx, src, in_slice);
+        add_2D_tensor_argument(idx, dst, out_slice);
+        if(biases != nullptr)
+        {
+            add_1D_tensor_argument(idx, biases, biases_slice);
+            ARM_COMPUTE_UNUSED(biases_window.slide_window_slice_1D(biases_slice));
+        }
+
+        // Run kernel
+        enqueue(queue, *this, in_slice, lws_hint());
+    }
+    while(window.slide_window_slice_4D(in_slice) && out_window.slide_window_slice_2D(out_slice));
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute