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, 91 insertions, 0 deletions

diff --git a/src/core/CL/cl_kernels/common/gather.cl b/src/core/CL/cl_kernels/common/gather.cl
new file mode 100644
index 0000000000..76eaefa92e
--- /dev/null
+++ b/src/core/CL/cl_kernels/common/gather.cl
@@ -0,0 +1,91 @@
+/*
+ * 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 "helpers.h"
+
+#if defined(DATA_TYPE) && defined(AXIS)
+
+/** Performs the Gather operation along the chosen axis
+ * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
+ * @note Axis should be given as a preprocessor argument using -DAXIS=axis. e.g. -DAXIS=1
+ * @attention Output tensor depth should be given as a preprocessor argument using -DOUTPUT_DIM_Z=size. e.g. -DOUTPUT_DIM_Z=16
+ * @attention Input tensor depth should be given as a preprocessor argument using -DINPUT_DIM_Z=size. e.g. -DINPUT_DIM_Z=16
+ *
+ *
+ * @param[in]  input_ptr                             Pointer to the source tensor. Supported data types: All
+ * @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 work item (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 work item (in bytes)
+ * @param[in]  input_stride_z                        Stride of the source tensor in Y dimension (in bytes)
+ * @param[in]  input_step_z                          input_stride_z * number of elements along Z processed per work item (in bytes)
+ * @param[in]  input_stride_w                        Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  input_step_w                          input_stride_w * number of elements along W processed per work item (in bytes)
+ * @param[in]  input_offset_first_element_in_bytes   Offset of the first element in the source tensor
+ * @param[in]  indices_ptr                           Pointer to the indices vector. Supported data types: S32/U32.
+ * @param[in]  indices_stride_x                      Stride of the indices vector in X dimension (in bytes)
+ * @param[in]  indices_step_x                        input_stride_x * number of elements along X processed per work item (in bytes)
+ * @param[in]  indices_offset_first_element_in_bytes Offset of the first element in the indices vector
+ * @param[out] output_ptr                            Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                       Stride of the destination tensor in X dimension (in bytes)
+ * @param[in]  output_step_x                         output_stride_x * number of elements along X processed per work item (in bytes)
+ * @param[in]  output_stride_y                       Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in]  output_step_y                         output_stride_y * number of elements along Y processed per work item (in bytes)
+ * @param[in]  output_stride_z                       Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in]  output_step_z                         output_stride_z * number of elements along Z processed per work item (in bytes)
+ * @param[in]  output_stride_w                       Stride of the destination tensor in W dimension (in bytes)
+ * @param[in]  output_step_w                         output_stride_w * number of elements along W processed per work item (in bytes)
+ * @param[in]  output_offset_first_element_in_bytes  Offset of the first element in the destination tensor
+ */
+__kernel void gather(
+    TENSOR4D_DECLARATION(input),
+    VECTOR_DECLARATION(indices),
+    TENSOR4D_DECLARATION(output))
+{
+    const int px = get_global_id(0);
+    const int py = get_global_id(1);
+    const int pz = get_global_id(2) % OUTPUT_DIM_Z;
+    const int pw = get_global_id(2) / OUTPUT_DIM_Z;
+
+    const Tensor4D input   = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, INPUT_DIM_Z);
+    const Vector   indices = CONVERT_TO_VECTOR_STRUCT_NO_STEP(indices);
+    Tensor4D       output  = CONVERT_TO_TENSOR4D_STRUCT(output, OUTPUT_DIM_Z);
+
+#if AXIS == 0
+    const uint index                 = *(__global const uint *)vector_offset(&indices, px);
+    __global const uchar *input_addr = tensor4D_offset(&input, index, py, pz, pw);
+#elif AXIS == 1
+    const uint index                 = *(__global const uint *)vector_offset(&indices, py);
+    __global const uchar *input_addr = tensor4D_offset(&input, px, index, pz, pw);
+#elif AXIS == 2
+    const uint index                 = *(__global const uint *)vector_offset(&indices, pz);
+    __global const uchar *input_addr = tensor4D_offset(&input, px, py, index, pw);
+#elif AXIS == 3
+    const uint index                 = *(__global const uint *)vector_offset(&indices, pw);
+    __global const uchar *input_addr = tensor4D_offset(&input, px, py, pz, index);
+#endif //AXIS
+
+    *(__global DATA_TYPE *)output.ptr = *((__global const DATA_TYPE *)input_addr);
+}
+
+#endif //defined(DATA_TYPE) && defined(AXIS)
\ No newline at end of file