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Diffstat (limited to 'src/core/CL/cl_kernels/channel_shuffle.cl')
| -rw-r--r-- | src/core/CL/cl_kernels/channel_shuffle.cl | 222 |
1 files changed, 0 insertions, 222 deletions
diff --git a/src/core/CL/cl_kernels/channel_shuffle.cl b/src/core/CL/cl_kernels/channel_shuffle.cl deleted file mode 100644 index 63af2c6137..0000000000 --- a/src/core/CL/cl_kernels/channel_shuffle.cl +++ /dev/null @@ -1,222 +0,0 @@ -/* -* 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" -#include "tile_helpers.h" - -#if defined(DATA_TYPE) && defined(VEC_SIZE) && defined(NUM_GROUPS) && defined(K) && defined(SRC_DIM_Z) - -// Check valid VEC_SIZES -#if VEC_SIZE != 1 && VEC_SIZE != 2 && VEC_SIZE != 3 && VEC_SIZE != 4 && VEC_SIZE != 8 && VEC_SIZE != 16 -#error "Only vector sizes 1, 2, 3, 4, 8 and 16 are supported" -#endif // VEC_SIZE != 1 && VEC_SIZE != 2 && VEC_SIZE != 3 && VEC_SIZE != 4 && VEC_SIZE != 8 && VEC_SIZE != 16 - -#define DIV_MOD_UINT(x, y, div_res, mod_res) \ - ({ \ - div_res = (uint)((x) * (float)(1.0f / (float)(y))); \ - uint r = div_res * (y); \ - mod_res = (x)-r; \ - }) - -/** Performs channel shuffle when the data layout is NCHW. See https://arxiv.org/pdf/1707.01083.pdf for details. - * - * @note The vector size must be given as a preprocessor argument using -DVEC_SIZE=num. e.g. -DVEC_SIZE=4 - * @note The depth of the tensor must be given as a preprocessor argument using -DSRC_DIM_Z=num. e.g. -DSRC_DIM_Z=64 - * @note The number of groups must be given as a preprocessor argument using -DNUM_GROUPS=num_groups. e.g. -DNUM_GROUPS=2 - * @note The number of channels in each group must be given as a preprocessor argument using -DK=num. e.g. -DK=1 - * K is equal to num_channels / num_groups. - * - * @param[in] src_ptr Pointer to the source matrix. 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[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 channel_shuffle_nchw(TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst)) -{ - uint curr_channel = 0; // channel id of input - uint batch_id = 0; // batch id - uint group_id = 0; // group id - uint channel_id = 0; // channel id within the group - - // Compute curr_channel and batch_id - DIV_MOD_UINT(get_global_id(2), SRC_DIM_Z, batch_id, curr_channel); - - // Compute group_id and channel_id - DIV_MOD_UINT(curr_channel, K, group_id, channel_id); - - const uint x = get_global_id(0) * VEC_SIZE; - const uint y = get_global_id(1) * 2; - const uint z = channel_id * NUM_GROUPS + group_id; - - // Load the Nx2 block - const __global uchar *input_ptr = src_ptr + src_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * src_stride_y + curr_channel * src_stride_z + batch_id * src_stride_w; - VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) - u0 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_ptr + 0 * src_stride_y)); - VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE) - u1 = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)(input_ptr + 1 * src_stride_y)); - - // Store blocks - __global uchar *output_ptr = dst_ptr + dst_offset_first_element_in_bytes + x * sizeof(DATA_TYPE) + y * dst_stride_y + z * dst_stride_z + batch_id * dst_stride_w; - VSTORE(VEC_SIZE) - (u0, 0, (__global DATA_TYPE *)(output_ptr + 0 * dst_stride_y)); - VSTORE(VEC_SIZE) - (u1, 0, (__global DATA_TYPE *)(output_ptr + 1 * dst_stride_y)); -} - -#if defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER) && defined(SRC_DIM_X) - -/** Performs channel shuffle when the data layout is NHWC. See https://arxiv.org/pdf/1707.01083.pdf for details. - * - * @note The vector size must be given as a preprocessor argument using -DVEC_SIZE=num. e.g. -DVEC_SIZE=4 - * @note The third dimension of the tensor must be given as a preprocessor argument using -DSRC_DIM_Z=num. e.g. -DSRC_DIM_Z=64 - * @note The first dimension of the tensor must be given as a preprocessor argument using -DSRC_DIM_X=num. e.g. -DSRC_DIM_X=64 - * @note The number of groups must be given as a preprocessor argument using -DNUM_GROUPS=num_groups. e.g. -DNUM_GROUPS=2 - * @note The number of channels in each group must be given as a preprocessor argument using -DK=num. e.g. -DK=1 - * K is equal to num_channels / num_groups. - * @note The leftover size in the X dimension shoud be given as preprocessor argument using -DVEC_SIZE_LEFTOVER is; x_dimension % VEC_SIZE. e.g. -DVEC_SIZE_LEFTOVER=1 - * - * @param[in] src_ptr Pointer to the source matrix. 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[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 channel_shuffle_nhwc(TENSOR4D_DECLARATION(src), - TENSOR4D_DECLARATION(dst)) -{ - // Offset computation - const uint curr_out_channel = GET_SPATIAL_IDX(0, VEC_SIZE, VEC_SIZE_LEFTOVER); // output feature map - - uint z = 0; - uint batch_id = 0; - // Compute curr_channel and batch_id - DIV_MOD_UINT(get_global_id(2), (uint)SRC_DIM_Z, batch_id, z); - - VEC_DATA_TYPE(uint, VEC_SIZE) - curr_out_channels = (VEC_DATA_TYPE(uint, VEC_SIZE))(curr_out_channel) + VEC_OFFS(uint, VEC_SIZE); - - VEC_DATA_TYPE(uint, VEC_SIZE) - in_channels = (curr_out_channels * (VEC_DATA_TYPE(uint, VEC_SIZE))(K)) % (VEC_DATA_TYPE(uint, VEC_SIZE))(SRC_DIM_X) + (curr_out_channels / (VEC_DATA_TYPE(uint, VEC_SIZE))(NUM_GROUPS)); - - // Load the values - const __global DATA_TYPE *input_ptr = (const __global DATA_TYPE *)(src_ptr + src_offset_first_element_in_bytes + get_global_id(1) * src_stride_y + z * src_stride_z + batch_id * src_stride_w); - -#if VEC_SIZE == 1 - DATA_TYPE out0 = *((const __global * DATA_TYPE)(input_ptr) + in_channels); -#elif VEC_SIZE == 2 - VEC_DATA_TYPE(DATA_TYPE, 2) - out0 = - { - *(input_ptr + in_channels.s0), - *(input_ptr + in_channels.s1) - }; -#elif VEC_SIZE == 3 - VEC_DATA_TYPE(DATA_TYPE, 3) - out0 = - { - *(input_ptr + in_channels.s0), - *(input_ptr + in_channels.s1), - *(input_ptr + in_channels.s2) - }; -#elif VEC_SIZE == 4 - VEC_DATA_TYPE(DATA_TYPE, 4) - out0 = - { - *(input_ptr + in_channels.s0), - *(input_ptr + in_channels.s1), - *(input_ptr + in_channels.s2), - *(input_ptr + in_channels.s3) - }; -#elif VEC_SIZE == 8 - VEC_DATA_TYPE(DATA_TYPE, 8) - out0 = - { - *(input_ptr + in_channels.s0), - *(input_ptr + in_channels.s1), - *(input_ptr + in_channels.s2), - *(input_ptr + in_channels.s3), - *(input_ptr + in_channels.s4), - *(input_ptr + in_channels.s5), - *(input_ptr + in_channels.s6), - *(input_ptr + in_channels.s7) - }; -#elif VEC_SIZE == 16 - VEC_DATA_TYPE(DATA_TYPE, 16) - out0 = - { - *(input_ptr + in_channels.s0), - *(input_ptr + in_channels.s1), - *(input_ptr + in_channels.s2), - *(input_ptr + in_channels.s3), - *(input_ptr + in_channels.s4), - *(input_ptr + in_channels.s5), - *(input_ptr + in_channels.s6), - *(input_ptr + in_channels.s7), - *(input_ptr + in_channels.s8), - *(input_ptr + in_channels.s9), - *(input_ptr + in_channels.sa), - *(input_ptr + in_channels.sb), - *(input_ptr + in_channels.sc), - *(input_ptr + in_channels.sd), - *(input_ptr + in_channels.se), - *(input_ptr + in_channels.sf) - }; -#endif // VEC_SIZE == 1 - - __global uchar *output_ptr = dst_ptr + curr_out_channel * sizeof(DATA_TYPE) + dst_offset_first_element_in_bytes + get_global_id(1) * dst_stride_y + z * dst_stride_z + batch_id * dst_stride_w; - STORE_VECTOR_SELECT(out, DATA_TYPE, output_ptr, VEC_SIZE, VEC_SIZE_LEFTOVER, VEC_SIZE_LEFTOVER != 0 && get_global_id(0) == 0); -} -#endif // defined(VEC_SIZE) && defined(VEC_SIZE_LEFTOVER) && defined(SRC_DIM_X) -#endif // defined(DATA_TYPE) && defined(VEC_SIZE) && defined(NUM_GROUPS) && defined(K) && defined(SRC_DIM_Z) |