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diff --git a/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp b/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp
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+++ b/src/gpu/cl/kernels/ClConvertFullyConnectedWeightsKernel.cpp
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+/*
+ * Copyright (c) 2018-2021 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/ClConvertFullyConnectedWeightsKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Utils.h"
+
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "support/StringSupport.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+ClConvertFullyConnectedWeightsKernel::ClConvertFullyConnectedWeightsKernel()
+{
+ _type = CLKernelType::ELEMENTWISE;
+}
+
+void ClConvertFullyConnectedWeightsKernel::configure(const CLCompileContext &compile_context,
+ const ITensorInfo *src,
+ ITensorInfo *dst,
+ const TensorShape &original_src_shape,
+ DataLayout data_layout)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ // Output tensor auto initialisation if not yet initialized
+ auto_init_if_empty(*dst, *src->clone());
+
+ auto padding_info = get_padding_info({src, dst});
+
+ ARM_COMPUTE_ERROR_THROW_ON(
+ ClConvertFullyConnectedWeightsKernel::validate(src, dst, original_src_shape, data_layout));
+
+ const DataLayout src_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
+
+ const int width_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::WIDTH);
+ const int height_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::HEIGHT);
+ const int channel_idx = get_data_layout_dimension_index(src_data_layout, DataLayoutDimension::CHANNEL);
+
+ const unsigned int num_elems_per_src_plane = original_src_shape[width_idx] * original_src_shape[height_idx];
+ const unsigned int num_channels = original_src_shape[channel_idx];
+
+ const unsigned int factor_1 = (data_layout == DataLayout::NCHW) ? num_elems_per_src_plane : num_channels;
+ const unsigned int factor_2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_src_plane;
+
+ // Set build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(src->element_size()));
+ build_opts.add_option("-DFACTOR_1=" + support::cpp11::to_string(factor_1));
+ build_opts.add_option("-DFACTOR_2=" + support::cpp11::to_string(factor_2));
+
+ // Create kernel
+ _kernel = create_kernel(compile_context, "convert_fc_weights", build_opts.options());
+
+ // Configure kernel window
+ Window win = calculate_max_window(*src, Steps());
+ ICLKernel::configure_internal(win);
+
+ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *src,
+ const ITensorInfo *dst,
+ const TensorShape &original_src_shape,
+ DataLayout data_layout)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+ ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+ ARM_COMPUTE_RETURN_ERROR_ON(src->num_dimensions() != 2);
+ ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(1) != original_src_shape.total_size_lower(3));
+ ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN);
+
+ // Checks performed when dst is configured
+ if (dst->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
+ }
+
+ return Status{};
+}
+
+void ClConvertFullyConnectedWeightsKernel::run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+ const auto src =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+ unsigned int idx = 0;
+ add_2D_tensor_argument(idx, src, window);
+ add_2D_tensor_argument(idx, dst, window);
+ enqueue(queue, *this, window, lws_hint());
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute