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, 111 insertions, 0 deletions

diff --git a/src/core/CL/cl_kernels/common/col2im.cl b/src/core/CL/cl_kernels/common/col2im.cl
new file mode 100644
index 0000000000..89054dcb31
--- /dev/null
+++ b/src/core/CL/cl_kernels/common/col2im.cl
@@ -0,0 +1,111 @@
+/*
+ * Copyright (c) 2017-2021 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(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)