1 files changed, 123 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp b/src/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp
new file mode 100644
index 0000000000..87703ec631
--- /dev/null
+++ b/src/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.cpp
@@ -0,0 +1,123 @@
+/*
+ * 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/cpu/kernels/CpuConvertFullyConnectedWeightsKernel.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Types.h"
+
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+void CpuConvertFullyConnectedWeightsKernel::configure(const ITensorInfo *src,
+                                                      ITensorInfo       *dst,
+                                                      const TensorShape &original_input_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());
+
+    ARM_COMPUTE_ERROR_THROW_ON(
+        CpuConvertFullyConnectedWeightsKernel::validate(src, dst, original_input_shape, data_layout));
+
+    const DataLayout input_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
+
+    const int width_idx   = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::WIDTH);
+    const int height_idx  = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::HEIGHT);
+    const int channel_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::CHANNEL);
+
+    const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
+    const unsigned int num_channels              = original_input_shape[channel_idx];
+
+    _factor1 = (data_layout == DataLayout::NCHW) ? num_elems_per_input_plane : num_channels;
+    _factor2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_input_plane;
+
+    // Configure kernel window
+    Window win = calculate_max_window(*src, Steps());
+    ICpuKernel::configure(win);
+}
+
+Status CpuConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *src,
+                                                       const ITensorInfo *dst,
+                                                       const TensorShape &original_input_shape,
+                                                       DataLayout         data_layout)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(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_input_shape.total_size_lower(3));
+    ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN);
+
+    // Checks performed when dst is configured
+    if ((dst != nullptr) && (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 CpuConvertFullyConnectedWeightsKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
+{
+    ARM_COMPUTE_UNUSED(info);
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
+
+    const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
+    auto       dst = tensors.get_tensor(TensorType::ACL_DST);
+
+    const unsigned int dst_stride_x = dst->info()->strides_in_bytes().x();
+    const unsigned int dst_stride_y = dst->info()->strides_in_bytes().y();
+    const unsigned int element_size = src->info()->element_size();
+
+    Iterator input(src, window);
+    Iterator output(dst, window);
+
+    execute_window_loop(
+        window,
+        [&](const Coordinates &id)
+        {
+            memcpy(output.ptr() + id.x() * dst_stride_x +
+                       (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y,
+                   input.ptr(), element_size);
+        },
+        input);
+}
+
+const char *CpuConvertFullyConnectedWeightsKernel::name() const
+{
+    return "CpuConvertFullyConnectedWeightsKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute