onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2020 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_X64_JIT_BRGEMM_TRANSPOSE_UTILS_HPP
#define CPU_X64_JIT_BRGEMM_TRANSPOSE_UTILS_HPP

#include "cpu/x64/jit_brgemm_primitive_conf.hpp"
#include "cpu/x64/jit_generator.hpp"

namespace dnnl {
namespace impl {
namespace cpu {
namespace x64 {

struct jit_brgemm_trans_src_t {
    struct ctx_t {
        const void *src;
        const void *tr_src;

        dim_t current_gemm_batch;
        dim_t current_M, current_K;
    };

    virtual void operator()(ctx_t *ctx) = 0;
    virtual status_t create_kernel() = 0;

    jit_brgemm_trans_src_t(const jit_brgemm_primitive_conf_t *conf)
        : conf_(conf) {}
    virtual ~jit_brgemm_trans_src_t() = default;

    const jit_brgemm_primitive_conf_t *conf_;
};

struct jit_brgemm_copy_to_coarse_t : public jit_generator_t {
    DECLARE_CPU_JIT_AUX_FUNCTIONS(jit_brgemm_copy_to_coarse_t)

    struct ctx_t {
        const void *data;
        const void *tr_data;

        dim_t os_work;
        dim_t last_row_blk;
    };

    void operator()(ctx_t *ctx) { jit_generator_t::operator()(ctx); }
    status_t create_kernel() override {
        return jit_generator_t::create_kernel();
    }

    jit_brgemm_copy_to_coarse_t(const jit_brgemm_primitive_conf_t *conf)
        : jit_generator_t(jit_name())
        , conf_(conf)
        , typesize_(sizeof(float) / data_type_vnni_granularity(conf_->wei_dt))
        , is_fwd_dir_(utils::one_of(conf_->prop_kind,
                  prop_kind::forward_training, prop_kind::forward_inference))
        , row_block_size_(is_fwd_dir_ ? conf_->ic_block : conf_->oc_block)
        , row_size_(is_fwd_dir_ ? conf_->ic_without_padding
                                : conf_->oc_without_padding)
        , tr_row_size_(conf_->LDA)
        , row_granularity_(granularity_in_bytes / typesize_)
        , row_step_(zmm_size_in_bytes / typesize_)
        , data_stride_(static_cast<dim_t>(is_fwd_dir_ ? conf_->ks() : 1)
                  * row_size_ * typesize_)
        , tr_data_stride_(static_cast<dim_t>(tr_row_size_) * typesize_) {

        // Kernel is supposed to be called under the following constraints
        assert(is_superset(conf_->isa, avx512_core_amx));
        assert(row_size_ % row_granularity_ != 0);

        MAYBE_UNUSED(row_granularity_);
    }

    ~jit_brgemm_copy_to_coarse_t() override = default;

private:
    enum {
        zmm_size_in_bytes = 64,
        row_loop_unroll = 16,
        granularity_in_bytes = 4,
    };

    const jit_brgemm_primitive_conf_t *conf_;
    const int typesize_;
    const bool is_fwd_dir_;
    const int row_block_size_, row_size_, tr_row_size_, row_granularity_,
            row_step_;
    const dim_t data_stride_, tr_data_stride_;

    inline size_t addr_offset(int row_idx) const {
        return row_idx * row_step_ * typesize_;
    }

    inline Xbyak::Zmm get_zmm_copy(int row_idx) const {
        assert(row_idx >= 0 && row_idx < row_loop_unroll);
        return Xbyak::Zmm(row_idx);
    }

    const Xbyak::Zmm zmm_zero = Xbyak::Zmm(row_loop_unroll);
    const Xbyak::Zmm zmm_row_tail = Xbyak::Zmm(row_loop_unroll + 1);

    const Xbyak::Opmask reg_m_full_row_tail_load = k7;
    const Xbyak::Opmask reg_m_full_row_tail_store = k6;
    const Xbyak::Opmask reg_m_last_row_tail_load = k5;
    const Xbyak::Opmask reg_m_last_row_tail_store = k4;

    const Xbyak::Reg64 reg_data = rax;
    const Xbyak::Reg64 reg_tr_data = rbx;

    const Xbyak::Reg64 reg_os_work = r11;
    const Xbyak::Reg64 reg_last_row_blk = r12;
    const Xbyak::Reg64 reg_tail_mask = r13;

    void copy_os_loop();
    void copy_row_loop();

    void copy_row_blks(int num_row_blks);
    void copy_row_tail(bool is_last_iteration, int row_offset);
    void zero_out_rows();

    void set_full_row_tail_masks();
    void set_last_row_tail_masks();

    void generate() override;
};

struct jit_brgemm_trans_to_vnni_t {
    struct ctx_t {
        const void *src;
        const void *tr_src;

        dim_t current_gemm_batch;
        dim_t current_col_size, current_row_size;
    };

    enum class matrix_to_transform_t {
        matrix_B,
        matrix_C,
    };

    virtual void operator()(ctx_t *ctx) = 0;
    virtual status_t create_kernel() = 0;

    jit_brgemm_trans_to_vnni_t(const jit_brgemm_primitive_conf_t *conf,
            matrix_to_transform_t matrix_to_transform)
        : conf_(conf), matrix_to_transform_(matrix_to_transform) {}

    virtual ~jit_brgemm_trans_to_vnni_t() = default;

    const jit_brgemm_primitive_conf_t *conf_;
    matrix_to_transform_t matrix_to_transform_;
};

struct jit_brgemm_trans_wei_t {
    struct ctx_t {
        const void *src;
        const void *tr_src;

        dim_t current_gemm_batch;
        dim_t current_N, current_K;
    };

    virtual void operator()(ctx_t *ctx) = 0;
    virtual status_t create_kernel() = 0;

    jit_brgemm_trans_wei_t(const jit_brgemm_primitive_conf_t *conf)
        : conf_(conf) {}
    virtual ~jit_brgemm_trans_wei_t() = default;

    const jit_brgemm_primitive_conf_t *conf_;
};

struct jit_brgemm_relo_copy_to_wbuffer_t : public jit_generator_t {
    struct cfg_t {
        data_type_t wei_dt {data_type_t::dnnl_data_type_undef};
        int out_oc_block {0};
        int inp_oc_block {0};
        int rd {0};
        bool is_rd_padded_to_block {false};
        int inp_ocb_offs {0};
        int last_occ_to_copy {0};
    };

    struct ctx_t {
        const char *src {nullptr};
        char *dst {nullptr};
        size_t last_ocb {0};
    };

    DECLARE_CPU_JIT_AUX_FUNCTIONS(jit_brgemm_relo_copy_to_wbuffer_t)

    using reg64_t = Xbyak::Reg64;

    jit_brgemm_relo_copy_to_wbuffer_t(const cfg_t &ajcp)
        : jit_generator_t(jit_name(), avx512_core_amx), wjcp(ajcp) {}

private:
    cfg_t wjcp;

    const reg64_t reg_src = rax;
    const reg64_t reg_dst = rbx;
    const reg64_t aux_reg_src = r10;
    const reg64_t aux_reg_dst = r11;
    const reg64_t reg_tmp = rdx;

    const Xbyak::Opmask kmask_load = k2;

    const Xbyak::Zmm zmm_src = zmm0;
    const Xbyak::Zmm zmm_dst = zmm1;
    const Xbyak::Zmm zmm_zero = zmm2;
    const Xbyak::Zmm zmm_idx = zmm3;

    void generate() override;
};

struct jit_amx_ip_trans_diff_wei_t {
    struct ctx_t {
        const void *src;
        const void *dst;

        size_t last_oc_block;
        size_t last_ic_block;
    };

    virtual void operator()(ctx_t *ctx) = 0;
    virtual status_t create_kernel() = 0;

    jit_amx_ip_trans_diff_wei_t(const jit_brgemm_primitive_conf_t *jbgp,
            const int ext_ic_block, const int ext_oc_block)
        : jbgp_(jbgp)
        , ext_ic_block_(ext_ic_block)
        , ext_oc_block_(ext_oc_block) {}

    virtual ~jit_amx_ip_trans_diff_wei_t() = default;

    const jit_brgemm_primitive_conf_t *jbgp_;

    int ext_ic_block_ = 0;
    int ext_oc_block_ = 0;
};

status_t create_brgemm_trans_src(
        std::unique_ptr<jit_brgemm_trans_src_t> &trans_ker,
        const jit_brgemm_primitive_conf_t *conf);
status_t create_brgemm_copy_to_coarse(
        std::unique_ptr<jit_brgemm_copy_to_coarse_t> &copy_ker,
        const jit_brgemm_primitive_conf_t *conf);
status_t create_brgemm_trans_to_vnni(
        std::unique_ptr<jit_brgemm_trans_to_vnni_t> &trans_ker,
        const jit_brgemm_primitive_conf_t *conf,
        jit_brgemm_trans_to_vnni_t::matrix_to_transform_t matrix_to_transform);
status_t create_brgemm_trans_wei(
        std::unique_ptr<jit_brgemm_trans_wei_t> &trans_ker,
        const jit_brgemm_primitive_conf_t *conf);
status_t create_brgemm_amx_ip_trans_wei(
        std::unique_ptr<jit_amx_ip_trans_diff_wei_t> &trans_ker,
        const jit_brgemm_primitive_conf_t *conf, const int ext_ic_block,
        const int ext_oc_block);
} // namespace x64
} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif