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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/tile.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/tile.cl')
-rw-r--r-- | src/core/CL/cl_kernels/tile.cl | 97 |
1 files changed, 0 insertions, 97 deletions
diff --git a/src/core/CL/cl_kernels/tile.cl b/src/core/CL/cl_kernels/tile.cl deleted file mode 100644 index 79da7fe6b9..0000000000 --- a/src/core/CL/cl_kernels/tile.cl +++ /dev/null @@ -1,97 +0,0 @@ -/* - * Copyright (c) 2018-2020 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(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) -/** Perform a floor operation on an input tensor. - * - * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float - * @attention Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16 - * @note Can only take floating point data types. - * - * @param[in] input_ptr Pointer to the source image. Supported data types: All - * @param[in] input_stride_x Stride of the source image 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 image 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 image - * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr - * @param[in] output_stride_x Stride of the destination image 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 destination image 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 source 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 destination image - */ -__kernel void tile( - TENSOR4D_DECLARATION(input), - TENSOR4D_DECLARATION(output)) -{ - Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH); - Tensor4D input = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH); - - // For all coordinates but x, each tile copies from the input - const int y = get_global_id(1); - const int z = get_global_id(2) % DST_DEPTH; - const int batch = get_global_id(2) / DST_DEPTH; - -#if defined(VEC_SIZE) && defined(OFFSET) - // If we are loading/storing multiple elements at time, we need to - // not exceed the input boundaries. The last threads need to backtrack - // of OFFSET elements. Those elements cumulates for previous tiles - const int id = (int)(get_global_id(0)); - int x = id * VEC_SIZE; - - // Shift x based on the previous offsets - const int tile_number = x / SRC_WIDTH; - x -= (tile_number) * OFFSET; - int x_input = x % SRC_WIDTH; - - // Shift x based on being the last tile - const int last_tile = (int)(x_input + VEC_SIZE > SRC_WIDTH); - x -= last_tile * OFFSET; - x_input = x % SRC_WIDTH; - output.ptr -= (tile_number + last_tile) * OFFSET * output_stride_x; - - // Update the input pointer - input.ptr = tensor4D_offset(&input, x_input, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); - - // Copy the data - VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) - data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr); - - VSTORE(VEC_SIZE) - (data, 0, (__global DATA_TYPE *)output.ptr); -#else // !defined(VEC_SIZE) || !defined(OFFSET) - const int x = get_global_id(0); - - // Update the input pointer - input.ptr = tensor4D_offset(&input, x % SRC_WIDTH, y % SRC_HEIGHT, z % SRC_DEPTH, batch % SRC_BATCHES); - - *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)(input.ptr)); -#endif // defined(VEC_SIZE) && defined(OFFSET) -} -#endif // defined(DATA_TYPE) && defined(SRC_WIDTH) && defined(SRC_HEIGHT) && defined(SRC_DEPTH) && defined(DST_DEPTH) |