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authorMichele Di Giorgio <michele.digiorgio@arm.com>2018-05-01 16:52:00 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:50:48 +0000
commit721756352e68602fe6aaf90b3ca031c947cd2176 (patch)
tree33921f257424524e82d8aeaec62447f4dbc5b440 /src/core/CL/cl_kernels/channel_shuffle.cl
parentc0f54434383f945d95f95549c1c4b0d5f5d2caff (diff)
downloadComputeLibrary-721756352e68602fe6aaf90b3ca031c947cd2176.tar.gz
COMPMID-1107: Add support for ChannelShuffle in CL
Change-Id: I56d2a02b316f0c69ff1fd7220e732f775414fe69 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129709 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/channel_shuffle.cl')
-rw-r--r--src/core/CL/cl_kernels/channel_shuffle.cl132
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diff --git a/src/core/CL/cl_kernels/channel_shuffle.cl b/src/core/CL/cl_kernels/channel_shuffle.cl
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+/*
+* 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) */