diff options
Diffstat (limited to 'src/core/CL/cl_kernels')
-rw-r--r-- | src/core/CL/cl_kernels/l2_normalize.cl | 61 | ||||
-rw-r--r-- | src/core/CL/cl_kernels/reduction_operation.cl | 108 |
2 files changed, 169 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/l2_normalize.cl b/src/core/CL/cl_kernels/l2_normalize.cl new file mode 100644 index 0000000000..8d47631019 --- /dev/null +++ b/src/core/CL/cl_kernels/l2_normalize.cl @@ -0,0 +1,61 @@ +/* + * Copyright (c) 2016, 2017 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" + +/** This kernel performs reduction given an operation. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: QS8/F16/F32 + * @param[in] src_stride_x Stride of the 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_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] sum_ptr Pointer to the source tensor. Supported data types: QS8/F16/F32 + * @param[in] sum_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] sum_step_x sum_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] sum_offset_first_element_in_bytes The offset of the first element in the 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 dst_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor + * @param[in] epsilon Epsilon value + */ +__kernel void l2_normalize( + VECTOR_DECLARATION(src), + VECTOR_DECLARATION(sum), + VECTOR_DECLARATION(dst), + DATA_TYPE epsilon) +{ + Vector src = CONVERT_TO_VECTOR_STRUCT(src); + Vector sum = CONVERT_TO_VECTOR_STRUCT(sum); + Vector dst = CONVERT_TO_VECTOR_STRUCT(dst); + + VEC_DATA_TYPE(DATA_TYPE, 16) + in = vload16(0, (__global DATA_TYPE *)src.ptr); + VEC_DATA_TYPE(DATA_TYPE, 16) + normalize_value = (VEC_DATA_TYPE(DATA_TYPE, 16))native_rsqrt(fmax(((__global DATA_TYPE *)sum.ptr)[0], epsilon)); + + vstore16(in * normalize_value, 0, (__global DATA_TYPE *)dst.ptr); +}
\ No newline at end of file diff --git a/src/core/CL/cl_kernels/reduction_operation.cl b/src/core/CL/cl_kernels/reduction_operation.cl new file mode 100644 index 0000000000..d46a22600f --- /dev/null +++ b/src/core/CL/cl_kernels/reduction_operation.cl @@ -0,0 +1,108 @@ +/* + * Copyright (c) 2016, 2017 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" + +/** Calculate square sum of a vector + * + * @param[in] input Pointer to the first pixel. + * + * @return square sum of vector. + */ +inline DATA_TYPE square_sum(__global const DATA_TYPE *input) +{ + VEC_DATA_TYPE(DATA_TYPE, 16) + in = vload16(0, input); + + in *= in; + + in.s01234567 += in.s89ABCDEF; + in.s0123 += in.s4567; + in.s01 += in.s23; + + return (in.s0 + in.s1); +} + +/** Calculate sum of a vector + * + * @param[in] input Pointer to the first pixel. + * + * @return sum of vector. + */ +inline DATA_TYPE sum(__global const DATA_TYPE *input) +{ + VEC_DATA_TYPE(DATA_TYPE, 16) + in = vload16(0, input); + + in.s01234567 += in.s89ABCDEF; + in.s0123 += in.s4567; + in.s01 += in.s23; + + return (in.s0 + in.s1); +} + +/** This kernel performs reduction given an operation. + * + * @note The data type must be passed at compile time using -DDATA_TYPE: e.g. -DDATA_TYPE=float + * @note The data size must be passed at compile time using -DDATA_SIZE e.g. -DDATA_SIZE=32 + * @note The operation we want to perform must be passed at compile time using -DOPERATION e.g. -DOPERATION=square_sum + * + * @param[in] src_ptr Pointer to the source tensor. Supported data types: F32 + * @param[in] src_stride_x Stride of the 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_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] partial_sum_ptr The local buffer to hold sumed values. Supported data types: same as @p src_ptt + * @param[in] partial_sum_stride_x Stride of the source tensor in X dimension (in bytes) + * @param[in] partial_sum_step_x partial_sum_stride_x * number of elements along X processed per workitem(in bytes) + * @param[in] partial_sum_offset_first_element_in_bytes The offset of the first element in the source tensor + * @param[in] local_sums Local buffer for storing the partioal sum + */ +__kernel void reduction_operation( + VECTOR_DECLARATION(src), + VECTOR_DECLARATION(partial_sum), + __local DATA_TYPE *local_sums) +{ + Vector src = CONVERT_TO_VECTOR_STRUCT(src); + Vector partial_sum = CONVERT_TO_VECTOR_STRUCT(partial_sum); + + unsigned int lsize = get_local_size(0); + unsigned int lid = get_local_id(0); + + local_sums[lid] = OPERATION((__global DATA_TYPE *)src.ptr); + barrier(CLK_LOCAL_MEM_FENCE); + + // Perform parallel reduction + for(unsigned int i = lsize >> 1; i > 0; i >>= 1) + { + if(lid < i) + { + local_sums[lid] += local_sums[lid + i]; + } + barrier(CLK_LOCAL_MEM_FENCE); + } + + if(lid == 0) + { + ((__global DATA_TYPE *)partial_sum.ptr + get_group_id(0))[0] = local_sums[0]; + } +}
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