Reorganize the kernels into nhwc, nchw and common folders

The Following kernels have been split into nchw/nhwc kernels files:

- batchnormalization_layer
- batch_to_space
- channel_shuffle
- depth_to_space
- dequantization_layer
- im2col
- normalization_layer
- normalize_planar_yuv_layer
- normalize_planar_yuv_layer_quantized
- pooling_layer
- pooling_layer_quantized
- remap
- reorg_layer
- scale
- scale_quantized
- space_to_batch
- space_to_depth
- upsample_layer
- winograd_filter_transform
- winograd_input_transform
- winograd_output_transform

The following kernels have been moved to nchw folder:
- direct_convolution1x1
- direct_convolution3x3
- direct_convolution5x5
- direct_convolution_quantized
- prior_box_layer

The following kernels have been moved to nhwc folder:
- direct_convolution
- dwc_native_fp_nhwc
- dwc_native_quantized_nhwc

The following kernels have been removed:
- sobel_filter

While the rest kerenls have been moved to the common folder.

Partially resolves COMPMID-4453

Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 72 insertions, 0 deletions

diff --git a/src/core/CL/cl_kernels/common/unpooling_layer.cl b/src/core/CL/cl_kernels/common/unpooling_layer.cl
new file mode 100644
index 0000000000..6662dc9360
--- /dev/null
+++ b/src/core/CL/cl_kernels/common/unpooling_layer.cl
@@ -0,0 +1,72 @@
+/*
+ * Copyright (c) 2020-2021 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 "helpers.h"
+
+/** Performs max unpooling function with pool size equal to 2.
+ *
+ * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32
+ * @note The width of the output tensor must be passed using -DWIDTH_DST e.g. -DWIDTH_DST=24
+ * @note The height of the output tensor must be passed using -DHEIGHT_DST e.g. -DHEIGHT_DST=54
+ * @note The depth of the output tensor must be passed using -DDEPTH_DST e.g. -DDEPTH_DST=32
+ *
+ * @param[in]  input_ptr                             Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in]  input_stride_x                        Stride of the source tensor in X dimension (in bytes)
+ * @param[in]  input_step_x                          input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  input_stride_y                        Stride of the source tensor in Y dimension (in bytes)
+ * @param[in]  input_step_y                          input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  input_stride_z                        Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  input_step_z                          input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  input_offset_first_element_in_bytes   The offset of the first element in the source tensor
+ * @param[out] output_ptr                            Pointer to the output tensor. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                       Stride of the output tensor in X dimension (in bytes)
+ * @param[in]  output_step_x                         output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  output_stride_y                       Stride of the output tensor in Y dimension (in bytes)
+ * @param[in]  output_step_y                         output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  output_stride_z                       Stride of the output tensor in Z dimension (in bytes)
+ * @param[in]  output_step_z                         output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  output_offset_first_element_in_bytes  The offset of the first element in the output tensor
+ * @param[in]  indices_ptr                           Pointer to the indices tensor. Supported data types: U32
+ * @param[in]  indices_stride_x                      Stride of the indices tensor in X dimension (in bytes)
+ * @param[in]  indices_step_x                        indices_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  indices_stride_y                      Stride of the indices tensor in Y dimension (in bytes)
+ * @param[in]  indices_step_y                        indices_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  indices_stride_z                      Stride of the indices tensor in Z dimension (in bytes)
+ * @param[in]  indices_step_z                        indices_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  indices_offset_first_element_in_bytes The offset of the first element in the indices tensor
+ */
+__kernel void max_unpooling_layer_2(
+    TENSOR3D_DECLARATION(input),
+    TENSOR3D_DECLARATION(output),
+    TENSOR3D_DECLARATION(indices))
+{
+    Tensor3D input   = CONVERT_TO_TENSOR3D_STRUCT(input);
+    Tensor3D output  = CONVERT_TO_TENSOR3D_STRUCT_NO_UPDATE_PTR(output);
+    Tensor3D indices = CONVERT_TO_TENSOR3D_STRUCT(indices);
+
+    unsigned int index = *((__global unsigned int *)indices.ptr);
+    DATA_TYPE value    = *((__global DATA_TYPE *)input.ptr);
+
+    *((__global DATA_TYPE *)tensor3D_index2ptr(&output, WIDTH_DST, HEIGHT_DST, DEPTH_DST, index)) = value;
+}
\ No newline at end of file