From 7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 Mon Sep 17 00:00:00 2001 From: Adnan AlSinan Date: Mon, 5 Jul 2021 13:12:52 +0100 Subject: 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 Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919 Tested-by: Arm Jenkins Reviewed-by: Georgios Pinitas Comments-Addressed: Arm Jenkins --- src/core/CL/cl_kernels/common/reverse.cl | 102 +++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) create mode 100644 src/core/CL/cl_kernels/common/reverse.cl (limited to 'src/core/CL/cl_kernels/common/reverse.cl') diff --git a/src/core/CL/cl_kernels/common/reverse.cl b/src/core/CL/cl_kernels/common/reverse.cl new file mode 100644 index 0000000000..6b0afb9c2c --- /dev/null +++ b/src/core/CL/cl_kernels/common/reverse.cl @@ -0,0 +1,102 @@ +/* +* 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(NUM_REVERSE_DIMS) + +#if NUM_REVERSE_DIMS > 4 +#error("Reversing more than 4 dimensions is not currently supported") +#endif /* NUM_REVERSE_DIMS > 4 */ + +/** Performs reverse along the specified axis. + * + * @note The data type must be given as a preprocessor argument using -DDATA_TYPE=num. e.g. -DDATA_TYPE=uint + * @note The number of dimensions to reverse must be given as a preprocessor argument using -DNUM_REVERSE_DIMS=num, e.g. -DNUM_REVERSE_DIMS=3 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: All + * @param[in] src_stride_x Stride of the first 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 first 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 first 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_stride_w Stride of the first source tensor in Z dimension (in bytes) + * @param[in] src_step_w 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 first source tensor + * @param[in] axis_ptr Pointer to the source vector. Supported data types: U32 + * @param[in] axis_stride_x Stride of the first source tensor in X dimension (in bytes) + * @param[in] axis_step_x src_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] axis_offset_first_element_in_bytes The offset of the first element in the first 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 output_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 output_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 output_stride_z * number of elements along Z processed per workitem(in bytes) + * @param[in] dst_stride_w Stride of the destination tensor in Z dimension (in bytes) + * @param[in] dst_step_w output_stride_z * number of elements along Z 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 reverse(TENSOR4D_DECLARATION(src), + VECTOR_DECLARATION(axis), + TENSOR4D_DECLARATION(dst), + const uint width, + const uint height, + const uint depth, + const uint batches) +{ + Tensor4D src = CONVERT_TO_TENSOR4D_STRUCT(src, depth); + Vector axis = CONVERT_TO_VECTOR_STRUCT_NO_STEP(axis); + Tensor4D dst = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(dst, depth); + + const uint x_in = get_global_id(0); + const uint y_in = get_global_id(1); + const uint z_in = get_global_id(2) % depth; + const uint w_in = get_global_id(2) / depth; + + const uint4 dims = (uint4)(0, 1, 2, 3); + int4 to_reverse = (int4)(0, 0, 0, 0); +#if NUM_REVERSE_DIMS == 1 + const uint index = *((__global uint *)axis.ptr); + to_reverse = (uint4)index == dims; +#elif NUM_REVERSE_DIMS == 2 + const uint2 indices = vload2(0, (__global uint *)axis.ptr); + to_reverse = ((uint4)indices.s0 == dims) || ((uint4)indices.s1 == dims); +#elif NUM_REVERSE_DIMS == 3 + const uint2 indices01 = vload2(0, (__global uint *)axis.ptr); + const uint index2 = *((__global uint *)axis.ptr + 2); + to_reverse = ((uint4)indices01.s0 == dims) || ((uint4)indices01.s1 == dims) || ((uint4)index2 == dims); +#else /* NUM_REVERSE_DIMS == 3 */ + const uint4 indices = vload4(0, (__global uint *)axis.ptr); + to_reverse = ((uint4)indices.s0 == dims) || ((uint4)indices.s1 == dims) || ((uint4)indices.s2 == dims) || ((uint4)indices.s3 == dims); +#endif /* NUM_REVERSE_DIMS == 1 */ + const uint x_out = to_reverse.s0 ? width - x_in - 1 : x_in; + const uint y_out = to_reverse.s1 ? height - y_in - 1 : y_in; + const uint z_out = to_reverse.s2 ? depth - z_in - 1 : z_in; + const uint w_out = to_reverse.s3 ? batches - w_in - 1 : w_in; + + *((__global DATA_TYPE *)tensor4D_offset(&dst, x_out, y_out, z_out, w_out)) = *((__global DATA_TYPE *)src.ptr); +} +#endif // defined(DATA_TYPE) && defined(NUM_REVERSE_DIMS) -- cgit v1.2.1