onednn-src 0.1.13

/*******************************************************************************
* Copyright 2021 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 CPU_MATMUL_REF_MATMUL_INT8_HPP
#define CPU_MATMUL_REF_MATMUL_INT8_HPP

#include <assert.h>

#include "common/c_types_map.hpp"
#include "common/primitive.hpp"
#include "common/type_helpers.hpp"
#include "common/utils.hpp"

#include "cpu/platform.hpp"
#include "cpu/primitive_attr_postops.hpp"

#include "cpu/matmul/cpu_matmul_pd.hpp"

namespace dnnl {
namespace impl {
namespace cpu {
namespace matmul {

struct ref_matmul_int8_t : public primitive_t {
    struct pd_t : public cpu_matmul_pd_t {
        using cpu_matmul_pd_t::cpu_matmul_pd_t;

        DECLARE_COMMON_PD_T("ref_int8:any", ref_matmul_int8_t);

        status_t init(engine_t *engine) {
            using namespace data_type;
            using smask_t = primitive_attr_t::skip_mask_t;
            const auto src_type = src_md(0)->data_type;
            const auto wei_type = weights_md(0)->data_type;
            const auto bia_type = weights_md(1)->data_type;
            const auto dst_type = dst_md(0)->data_type;

            VDISPATCH_MATMUL(
                    is_dense_format_kind(), VERBOSE_UNSUPPORTED_SPARSE_CFG);
            VDISPATCH_MATMUL(
                    utils::one_of(src_type, s8, u8), VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_MATMUL(utils::one_of(wei_type, s8, u8, s4, u4),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_MATMUL(IMPLICATION(with_bias(),
                                     utils::one_of(bia_type, f32, bf16, f16,
                                             s32, s8, u8)),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_MATMUL(
                    utils::one_of(dst_type, f32, bf16, f16, s32, s8, u8),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_MATMUL(
                    attr()->has_default_values(smask_t::scales_data_type
                                    | smask_t::scales_groups
                                    | smask_t::zero_points_data_type
                                    | smask_t::zero_points_groups
                                    | smask_t::post_ops | smask_t::sum_dt
                                    | smask_t::precomputed_reductions,
                            dst_type),
                    VERBOSE_UNSUPPORTED_ATTR);
            VDISPATCH_MATMUL(attr_.post_ops_.check_sum_consistency(dst_type,
                                     /* is_int8 */ true),
                    VERBOSE_UNSUPPORTED_POSTOP);
            VDISPATCH_MATMUL(ref_post_ops_t::post_ops_ok(attr()->post_ops_),
                    VERBOSE_UNSUPPORTED_POSTOP);
            VDISPATCH_MATMUL(attr_scales_ok(), VERBOSE_UNSUPPORTED_SCALES_CFG);
            VDISPATCH_MATMUL(attr_zero_points_ok(), VERBOSE_UNSUPPORTED_ZP_CFG);
            VDISPATCH_MATMUL(set_default_formats(), VERBOSE_UNSUPPORTED_TAG);
            VDISPATCH_MATMUL(
                    attr_.set_default_formats(dst_md(0)) == status::success,
                    VERBOSE_UNSUPPORTED_POSTOP);

            return status::success;
        }

    private:
        bool attr_zero_points_ok() const {
            const auto &zp = attr()->zero_points_;
            if (!zp.has_default_values(DNNL_ARG_SRC)) {
                int mask_src = zp.get_mask(DNNL_ARG_SRC);
                bool ok = utils::one_of(mask_src, 0, src_qmask_K(),
                        src_qmask_M() + src_qmask_K());
                if (!ok) return false;

                if (!zp.get(DNNL_ARG_SRC).has_default_groups()) {
                    const auto gM = zp.get_group(DNNL_ARG_SRC, 0);
                    ok = gM == 1;
                    if (!ok) return false;

                    const auto gK = zp.get_group(DNNL_ARG_SRC, 1);
                    ok = IMPLICATION(gK > 1, K() % gK == 0);
                    if (!ok) return false;
                }
            }
            /* weights decompression requires zero points support */
            if (!zp.has_default_values(DNNL_ARG_WEIGHTS)) {
                if (!zp.get(DNNL_ARG_WEIGHTS).has_default_groups()) {
                    const auto gK = zp.get_group(DNNL_ARG_WEIGHTS, 0);
                    bool ok = IMPLICATION(gK > 1, K() % gK == 0);
                    if (!ok) return false;

                    const auto gN = zp.get_group(DNNL_ARG_WEIGHTS, 1);
                    ok = IMPLICATION(gN > 1, N() % gN == 0);
                    if (!ok) return false;

                    // Only one non-unit group is supported.
                    ok = utils::one_of(1, gK, gN);
                    if (!ok) return false;
                }
            }
            if (!zp.has_default_values(DNNL_ARG_DST)) {
                int mask_dst = zp.get_mask(DNNL_ARG_DST);
                bool ok = utils::one_of(mask_dst, 0, wei_qmask_N());
                if (!ok) return false;
            }
            return true;
        }
    };

    ref_matmul_int8_t(const pd_t *apd) : primitive_t(apd) {}

    status_t init(engine_t *engine) override {
        ref_post_ops
                = utils::make_unique<ref_post_ops_t>(pd()->attr()->post_ops_);
        if (!ref_post_ops) return status::out_of_memory;
        CHECK(ref_post_ops->init(pd()->dst_md()));
        return status::success;
    }

    status_t execute(const exec_ctx_t &ctx) const override {
        return execute_ref(ctx);
    }

private:
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
    status_t execute_ref(const exec_ctx_t &ctx) const;
    std::unique_ptr<ref_post_ops_t> ref_post_ops;
};

} // namespace matmul
} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif