onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2022 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/

#ifndef GPU_GENERIC_SYCL_SUM_KERNELS_HPP
#define GPU_GENERIC_SYCL_SUM_KERNELS_HPP

#include "common/primitive_exec_types.hpp"
#include "gpu/generic/sycl/sycl_io_helper.hpp"
#include "gpu/generic/sycl/sycl_primitive_conf.hpp"
#include "xpu/sycl/memory_storage_base.hpp"
#include "xpu/sycl/types.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace generic {
namespace sycl {

#define DNNL_ARG_SRC_4 5
#define DNNL_ARG_SRC_5 6
#define DNNL_ARG_SRC_6 7
#define DNNL_ARG_SRC_7 8
#define DNNL_ARG_SRC_8 9
#define DNNL_ARG_SRC_9 10
#define DNNL_ARG_SRC_10 11
#define DNNL_ARG_SRC_11 12
#define DNNL_ARG_SRC_12 13
#define DNNL_ARG_SRC_13 14
#define DNNL_ARG_SRC_14 15
#define DNNL_ARG_SRC_15 16

struct sum_kernel_vec_t {
    static constexpr int vec_len = 8;
    static constexpr int max_supported_ndims = 6;

    sum_kernel_vec_t(const sycl_sum_conf_t &conf,
            xpu::sycl::in_memory_arg_t &src0, xpu::sycl::in_memory_arg_t &src1,
            xpu::sycl::in_memory_arg_t &src2, xpu::sycl::in_memory_arg_t &src3,
            xpu::sycl::in_memory_arg_t &src4, xpu::sycl::in_memory_arg_t &src5,
            xpu::sycl::in_memory_arg_t &src6, xpu::sycl::in_memory_arg_t &src7,
            xpu::sycl::out_memory_arg_t &dst)
        : conf_(conf)
        , src0_(src0)
        , src1_(src1)
        , src2_(src2)
        , src3_(src3)
        , src4_(src4)
        , src5_(src5)
        , src6_(src6)
        , src7_(src7)
        , dst_(dst) {}

    void operator()(::sycl::nd_item<1> item) const {
        dims_t dims, off, strides;
        for (int i = 0; i < max_supported_ndims; i++) {
            dims[i] = (i < conf_.dst_md.ndims()) ? conf_.dst_md.dims()[i] : 1;
            strides[i] = (i < conf_.dst_md.ndims()) ? conf_.dst_md.strides()[i]
                                                    : INT_MAX;
        }

        for (int idx = item.get_global_id(0); idx < conf_.wk_size;
                idx += item.get_global_range(0)) {
            for (int i = 0; i < max_supported_ndims; i++) {
                off[i] = idx / strides[i] % dims[i];
            }
            auto result = conf_.src_scales[0]
                    * load_float_val(src0_ptr(), conf_.src_md[0], off);

#define ONEDNN_SYCL_SUM_ADD_ARG(ARG_N) \
    if (conf_.n > ARG_N) \
        result += conf_.src_scales[ARG_N] \
                * load_float_val( \
                        src##ARG_N##_ptr(), conf_.src_md[ARG_N], off);

            ONEDNN_SYCL_SUM_ADD_ARG(1)
            ONEDNN_SYCL_SUM_ADD_ARG(2)
            ONEDNN_SYCL_SUM_ADD_ARG(3)
            ONEDNN_SYCL_SUM_ADD_ARG(4)
            ONEDNN_SYCL_SUM_ADD_ARG(5)
            ONEDNN_SYCL_SUM_ADD_ARG(6)
            ONEDNN_SYCL_SUM_ADD_ARG(7)
#undef ONEDNN_SYCL_SUM_ADD_ARG

            store_float_value(conf_.dst_md.data_type(), result, dst_ptr(), idx);
        }
    }

private:
    float load_float_val(
            const void *ptr, xpu::sycl::md_t md, dims_t off) const {
        return load_float_value(md.data_type(), ptr, md.off_v(off));
    }

    void *src0_ptr() const { return src0_.get_pointer(); }
    void *src1_ptr() const { return src1_.get_pointer(); }
    void *src2_ptr() const { return src2_.get_pointer(); }
    void *src3_ptr() const { return src3_.get_pointer(); }
    void *src4_ptr() const { return src4_.get_pointer(); }
    void *src5_ptr() const { return src5_.get_pointer(); }
    void *src6_ptr() const { return src6_.get_pointer(); }
    void *src7_ptr() const { return src7_.get_pointer(); }
    void *dst_ptr() const { return dst_.get_pointer(); }

    sycl_sum_conf_t conf_;

    xpu::sycl::in_memory_arg_t src0_;
    xpu::sycl::in_memory_arg_t src1_;
    xpu::sycl::in_memory_arg_t src2_;
    xpu::sycl::in_memory_arg_t src3_;
    xpu::sycl::in_memory_arg_t src4_;
    xpu::sycl::in_memory_arg_t src5_;
    xpu::sycl::in_memory_arg_t src6_;
    xpu::sycl::in_memory_arg_t src7_;
    xpu::sycl::out_memory_arg_t dst_;
};

} // namespace sycl
} // namespace generic
} // namespace gpu
} // namespace impl
} // namespace dnnl

#endif