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author | Adnan AlSinan <adnan.alsinan@arm.com> | 2021-07-05 13:12:52 +0100 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-07-25 13:04:23 +0000 |
commit | 7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 (patch) | |
tree | b65671bdf37eb1ef8cc30ef64ab572da795546fa /src/core/CL/cl_kernels/col2im.cl | |
parent | 22f5ed51f1b01f7cf6993a556a0b763e437926fc (diff) | |
download | ComputeLibrary-7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4.tar.gz |
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>
Diffstat (limited to 'src/core/CL/cl_kernels/col2im.cl')
-rw-r--r-- | src/core/CL/cl_kernels/col2im.cl | 111 |
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) |