diff options
Diffstat (limited to 'src/core/CL/cl_kernels/channel_shuffle.cl')
-rw-r--r-- | src/core/CL/cl_kernels/channel_shuffle.cl | 132 |
1 files changed, 132 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/channel_shuffle.cl b/src/core/CL/cl_kernels/channel_shuffle.cl new file mode 100644 index 0000000000..d5cb10086e --- /dev/null +++ b/src/core/CL/cl_kernels/channel_shuffle.cl @@ -0,0 +1,132 @@ +/* +* Copyright (c) 2018 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(BLOCK_SIZE) && defined(NUM_GROUPS) && defined(K) + +// Check valid BLOCK_SIZES +#if BLOCK_SIZE != 4 && BLOCK_SIZE != 8 && BLOCK_SIZE != 16 +#error "Only block sizes 4, 8 and 16 are supported" +#endif /* BLOCK_SIZE != 4 && BLOCK_SIZE != 8 && BLOCK_SIZE != 16 */ + +#define TYPE VEC_DATA_TYPE(DATA_TYPE, BLOCK_SIZE) + +/** Perfoms channel shuffle see https://arxiv.org/pdf/1707.01083.pdf for details. + * + * @note The number of groups should be given as a preprocessor argument using -DNUM_GROUPS=num_groups. e.g. -DNUM_GROUPS=2 + * @note The number of channels in each group should 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: U8/S8/QS8/QASYMM8/U16/S16/QS16/F16/U32/S32/F32 + * @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_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_offset_first_element_in_bytes The offset of the first element in the destination tensor + */ +__kernel void channel_shuffle_nchw(TENSOR3D_DECLARATION(src), + TENSOR3D_DECLARATION(dst)) +{ + Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src); + Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(dst); + + const uint curr_channel = get_global_id(2); // channel id of input + const uint group_id = curr_channel / NUM_GROUPS; // group id + const uint channel_id = curr_channel % NUM_GROUPS; // channel id within the group + + const uint x = get_global_id(0) * BLOCK_SIZE; + const uint y = get_global_id(1) * BLOCK_SIZE; + const uint z = channel_id * K + group_id; + + // Load the NxN block + TYPE u0 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 0, 0)); + TYPE u1 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 1, 0)); + TYPE u2 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 2, 0)); + TYPE u3 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 3, 0)); +#if BLOCK_SIZE > 4 + TYPE u4 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 4, 0)); + TYPE u5 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 5, 0)); + TYPE u6 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 6, 0)); + TYPE u7 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 7, 0)); +#if BLOCK_SIZE == 16 + TYPE u8 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 8, 0)); + TYPE u9 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 9, 0)); + TYPE u10 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 10, 0)); + TYPE u11 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 11, 0)); + TYPE u12 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 12, 0)); + TYPE u13 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 13, 0)); + TYPE u14 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 14, 0)); + TYPE u15 = VLOAD(BLOCK_SIZE)(0, (__global DATA_TYPE *)tensor3D_offset(&src, 0, 15, 0)); +#endif /* BLOCK_SIZE == 16 */ +#endif /* BLOCK_SIZE > 4 */ + + // Store blocks + VSTORE(BLOCK_SIZE) + (u0, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 0, z)); + VSTORE(BLOCK_SIZE) + (u1, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 1, z)); + VSTORE(BLOCK_SIZE) + (u2, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 2, z)); + VSTORE(BLOCK_SIZE) + (u3, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 3, z)); +#if BLOCK_SIZE > 4 + VSTORE(BLOCK_SIZE) + (u4, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 4, z)); + VSTORE(BLOCK_SIZE) + (u5, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 5, z)); + VSTORE(BLOCK_SIZE) + (u6, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 6, z)); + VSTORE(BLOCK_SIZE) + (u7, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 7, z)); +#if BLOCK_SIZE == 16 + VSTORE(BLOCK_SIZE) + (u8, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 8, z)); + VSTORE(BLOCK_SIZE) + (u9, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 9, z)); + VSTORE(BLOCK_SIZE) + (u10, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 10, z)); + VSTORE(BLOCK_SIZE) + (u11, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 11, z)); + VSTORE(BLOCK_SIZE) + (u12, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 12, z)); + VSTORE(BLOCK_SIZE) + (u13, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 13, z)); + VSTORE(BLOCK_SIZE) + (u14, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 14, z)); + VSTORE(BLOCK_SIZE) + (u15, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, x, y + 15, z)); +#endif /* BLOCK_SIZE == 16 */ +#endif /* BLOCK_SIZE > 4 */ +} +#endif /* defined(DATA_TYPE) && defined(BLOCK_SIZE) && defined(NUM_GROUPS) && defined(K) */ |