onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2023 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_INTEL_BINARY_MULTI_PO_REORDER_HPP
#define GPU_INTEL_BINARY_MULTI_PO_REORDER_HPP

#include "common/c_types_map.hpp"
#include "common/reorder.hpp"
#include "gpu/gpu_binary_pd.hpp"
#include "gpu/intel/primitive.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace binary {

using pd_t = gpu_binary_pd_t;

struct multi_po_reorder_t : public primitive_t {
    using primitive_t::primitive_t;
    struct pd_t : public binary::pd_t {
        using binary::pd_t::pd_t;

        DECLARE_COMMON_PD_T("reorder+postops", multi_po_reorder_t);

        status_t init(impl::engine_t *engine) {
            if (!attr()->scales_.has_default_values(DNNL_ARG_SRC_0)
                    || !attr()->scales_.get(DNNL_ARG_SRC_1).has_default_values()
                    || attr()->post_ops_.len() >= 1) {
                VDISPATCH_BINARY(false, VERBOSE_UNSUPPORTED_ATTR);
            }

            VDISPATCH_BINARY(!is_ternary_op(), VERBOSE_BAD_ALGORITHM);

            // Assumption: src_mds have different layouts with dst mem
            // descriptor matching only with one of the src mem descriptors
            // or, all of them have the same memory layout
            const bool need_output_reorder
                    = dnnl_memory_desc_equal(src_md(0), dst_md())
                    || dnnl_memory_desc_equal(src_md(1), dst_md());

            // Assumption: src_mds have different layouts with dst_md matching
            // one of src_md
            const bool src_tags_match
                    = dnnl_memory_desc_equal(src_md(0), src_md(1));
            need_input_reorder = src_tags_match
                    && !dnnl_memory_desc_equal(src_md(0), dst_md());

            if ((!need_output_reorder && !need_input_reorder)
                    || is_broadcast(src_md(0), src_md(1))) {
                VDISPATCH_BINARY(false, VERBOSE_INCONSISTENT_NDIMS,
                        "src(0), src(1)", "dst");
            }

            alg_kind_t binary_alg = desc()->alg_kind;
            primitive_attr_t attr;

            reorder_pd_list.emplace_back(nullptr);

            if (need_input_reorder) {
                if (binary_alg != dnnl::impl::alg_kind::binary_add) {
                    VDISPATCH_BINARY(false, VERBOSE_BAD_ALGORITHM);
                }

                VDISPATCH_BINARY_SC(
                        reorder_primitive_desc_create(reorder_pd_list.back(),
                                engine, src_md(0), dst_md()),
                        VERBOSE_PRIMITIVE_CREATION_FAIL, "reorder");

                reorder_pd_list.emplace_back(nullptr);

                VDISPATCH_BINARY_SC(attr.post_ops_.append_sum(1.f),
                        VERBOSE_UNSUPPORTED_ATTR);

                VDISPATCH_BINARY_SC(
                        reorder_primitive_desc_create(reorder_pd_list.back(),
                                engine, src_md(1), dst_md(), &attr),
                        VERBOSE_PRIMITIVE_CREATION_FAIL, "reorder");
            } else { //need_output_reorder else-block
                // Check for memory descriptor layouts for SRC and DST
                // Matching layouts will not cause a reorder
                src_index = dnnl_memory_desc_equal(src_md(0), dst_md()) ? 0 : 1;

                switch (binary_alg) {
                    case alg_kind::binary_eq:
                    case alg_kind::binary_ne:
                        VDISPATCH_BINARY(src_tags_match,
                                VERBOSE_TENSOR_FORMAT_MISMATCH, "src0", "src1");
                        break;
                    case alg_kind::binary_add:
                    case alg_kind::binary_mul:
                    case alg_kind::binary_min:
                    case alg_kind::binary_max: break;
                    // Asymmetric ops
                    case alg_kind::binary_lt:
                        if (!src_index) binary_alg = alg_kind::binary_gt;
                        break;
                    case alg_kind::binary_gt:
                        if (!src_index) binary_alg = alg_kind::binary_lt;
                        break;
                    case alg_kind::binary_le:
                        if (!src_index) binary_alg = alg_kind::binary_ge;
                        break;
                    case alg_kind::binary_ge:
                        if (!src_index) binary_alg = alg_kind::binary_le;
                        break;
                    default: VDISPATCH_BINARY(false, VERBOSE_BAD_ALGORITHM);
                };

                VDISPATCH_BINARY_SC(attr.post_ops_.append_binary(
                                            binary_alg, src_md(src_index)),
                        VERBOSE_UNSUPPORTED_ATTR);

                VDISPATCH_BINARY_SC(
                        reorder_primitive_desc_create(reorder_pd_list.back(),
                                engine, src_md(!src_index), dst_md(), &attr),
                        VERBOSE_PRIMITIVE_CREATION_FAIL, "reorder");
            }

            return status::success;
        }

        std::vector<std::shared_ptr<primitive_desc_t>> reorder_pd_list;
        bool need_input_reorder = false;
        int src_index = -1;

    private:
        bool is_broadcast(
                const memory_desc_t *src0_md, const memory_desc_t *src1_md) {
            bool res = false;
            for (int i = 0; i < src0_md->ndims; i++) {
                if (src0_md->dims[i] != src1_md->dims[i]) { return res = true; }
            }
            return res;
        }
    };

    status_t init(impl::engine_t *engine) override {
        int size = pd()->need_input_reorder ? 2 : 1;
        reorder_primitive_list.resize(size);
        for (int i = 0; i < size; ++i) {
            CHECK(create_nested_primitive(reorder_primitive_list[i],
                    pd()->reorder_pd_list[i], engine));
        }
        return status::success;
    }

    status_t execute(const exec_ctx_t &ctx) const override {
        for (int id = 0; id < int(reorder_primitive_list.size()); id++) {
            exec_args_t r_args;
            auto dst = ctx.args().at(DNNL_ARG_DST);
            r_args[DNNL_ARG_DST] = dst;

            if (pd()->need_input_reorder) {
                r_args[DNNL_ARG_SRC] = id == 0 ? ctx.args().at(DNNL_ARG_SRC_0)
                                               : ctx.args().at(DNNL_ARG_SRC_1);
            } else {
                r_args[DNNL_ARG_SRC] = !pd()->src_index
                        ? ctx.args().at(DNNL_ARG_SRC_1)
                        : ctx.args().at(DNNL_ARG_SRC_0);

                r_args[DNNL_ARG_ATTR_MULTIPLE_POST_OP(0) | DNNL_ARG_SRC_1]
                        = pd()->src_index ? ctx.args().at(DNNL_ARG_SRC_1)
                                          : ctx.args().at(DNNL_ARG_SRC_0);
            }
            exec_ctx_t r_ctx(ctx, std::move(r_args));
            CHECK(reorder_primitive_list[id]->execute(r_ctx));
        }
        return status::success;
    }

private:
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
    std::vector<std::shared_ptr<impl::primitive_t>> reorder_primitive_list;
};

} // namespace binary
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl

#endif