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, 0 insertions, 111 deletions

diff --git a/src/core/CL/cl_kernels/col2im.cl b/src/core/CL/cl_kernels/col2im.cl
deleted file mode 100644
index 59c2d8a3aa..0000000000
--- a/src/core/CL/cl_kernels/col2im.cl
+++ /dev/null
@@ -1,111 +0,0 @@
-/*
- * Copyright (c) 2017-2020 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(WIDTH_OUTPUT) && defined(ELEMENT_SIZE) && defined(WIDTH_INPUT) && defined(NUM_GROUPS)
-
-#if ELEMENT_SIZE == 1
-#define COND_DATA_TYPE char
-#elif ELEMENT_SIZE == 2
-#define COND_DATA_TYPE short
-#elif ELEMENT_SIZE == 4
-#define COND_DATA_TYPE int
-#else // ELEMENT_SIZE
-#error "Element size not support"
-#endif // ELEMENT_SIZE
-
-/** This kernel performs a reshaping of the output of the convolution layer
- *
- * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float
- * @note The width of the input tensor must be passed at compile time using -DWIDTH_INPUT: e.g. -DWIDTH_INPUT=320
- * @note The width of the output tensor must be passed at compile time using -DWIDTH_OUTPUT: e.g. -DWIDTH_OUTPUT=600
- * @note The element size must be passed at compile time using -DELEMENT_SIZE: e.g. -DELEMENT_SIZE=4
- * @note The number of groups must be passed at compile time using  -DNUM_GROUPS: e.g. -DNUM_GROUPS=4
- *
- * @param[in]  src_ptr                           Pointer to the source tensor. Supported data types: QASYMM8/QASYMM8_SIGNED/F16/F32
- * @param[in]  src_stride_x                      Stride of the source tensor in X dimension (in bytes)
- * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in]  src_stride_y                      Stride of the source tensor in Y dimension (in bytes)
- * @param[in]  src_step_y                        src_stride_y * number of elements along Y processed per workitem(in bytes)
- * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
- * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
- * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source tensor
- * @param[out] dst_ptr                           Pointer to the destination tensor. Supported data types: same as @p src_ptr
- * @param[in]  dst_stride_x                      Stride of the destination tensor in X dimension (in bytes)
- * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
- * @param[in]  dst_stride_y                      Stride of the destination tensor in Y dimension (in bytes)
- * @param[in]  dst_step_y                        dst_stride_y * number of elements along Y processed per workitem(in bytes)
- * @param[in]  dst_stride_z                      Stride of the destination tensor in Z dimension (in bytes)
- * @param[in]  dst_step_z                        dst_stride_z * number of elements along Z processed per workitem(in bytes)
- * @param[in]  dst_stride_w                      Stride of the destination tensor in W dimension (in bytes)
- * @param[in]  dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
- * @param[in]  dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
- */
-__kernel void col2im(
-    TENSOR3D_DECLARATION(src),
-    TENSOR4D_DECLARATION(dst))
-{
-    Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
-    Tensor4D dst = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(dst, 0);
-
-    const uint xd = get_global_id(1) % WIDTH_OUTPUT; // x coordinate of the destination tensor
-    const uint yd = get_global_id(1) / WIDTH_OUTPUT; // y coordinate of the destination tensor
-
-    VEC_DATA_TYPE(DATA_TYPE, 8)
-    data = vload8(0, (__global DATA_TYPE *)src.ptr);
-
-    uint  x         = get_global_id(0) * 8;
-    uint8 x_clamped = x + (uint8)(0, 1, 2, 3, 4, 5, 6, 7);
-
-    VEC_DATA_TYPE(COND_DATA_TYPE, 8)
-    cond0 = CONVERT((x_clamped < WIDTH_INPUT), VEC_DATA_TYPE(COND_DATA_TYPE, 8));
-
-    // Clamp x if out-of-bounds
-    x_clamped = select((uint8)x, x_clamped, convert_int8(cond0));
-
-    // If out-of-bound, overwrite with the first element
-    data = select((VEC_DATA_TYPE(DATA_TYPE, 8))data.s0, data, cond0);
-
-#if NUM_GROUPS > 1
-    // Compute output offset (batches on 4th dimension)
-    int idx = yd * dst_stride_y + xd * dst_stride_x + (get_global_id(2) / NUM_GROUPS) * dst.stride_w;
-
-    const uint group = get_global_id(2) % NUM_GROUPS; // group ID
-    x_clamped += group * WIDTH_INPUT;
-#else  /* defined(NUM_GROUPS > 1 ) */
-    // Compute output offset (batches on 3rd dimension)
-    int idx = yd * dst.stride_y + xd * dst.stride_x + get_global_id(2) * dst.stride_w;
-#endif /* NUM_GROUPS > 1 */
-
-    // Store value
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s0 * dst.stride_z)) = data.s0;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s1 * dst.stride_z)) = data.s1;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s2 * dst.stride_z)) = data.s2;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s3 * dst.stride_z)) = data.s3;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s4 * dst.stride_z)) = data.s4;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s5 * dst.stride_z)) = data.s5;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s6 * dst.stride_z)) = data.s6;
-    *((__global DATA_TYPE *)(dst.ptr + idx + x_clamped.s7 * dst.stride_z)) = data.s7;
-}
-#endif // defined(DATA_TYPE) && defined(WIDTH_OUTPUT) && defined(ELEMENT_SIZE) && defined(WIDTH_INPUT) && defined(NUM_GROUPS)