onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
Documentation
/*******************************************************************************
* Copyright 2019 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_SIMPLE_RESAMPLING_HPP
#define CPU_SIMPLE_RESAMPLING_HPP

#include <cassert>
#include <functional>

#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/cpu_resampling_pd.hpp"
#include "cpu/resampling_utils.hpp"

namespace dnnl {
namespace impl {
namespace cpu {

struct simple_resampling_kernel_t {
    simple_resampling_kernel_t(const resampling_pd_t *pd);
    ~simple_resampling_kernel_t() = default;

    status_t init();
    status_t execute(const exec_ctx_t &ctx) const;

private:
    const resampling_pd_t *pd_;

    dim_t nsp_outer_ = 0;
    dim_t stride_d_ = 0;
    dim_t stride_h_ = 0;
    dim_t stride_w_ = 0;
    dim_t inner_stride_ = 0;
    dim_t tail_size_ = 0;
    data_type_t src_dt_ = data_type::undef;
    data_type_t dst_dt_ = data_type::undef;

    using interpolate_fn_t = std::function<void(const char *, char *,
            const exec_ctx_t &, dim_t, dim_t, dim_t, dim_t, const bool)>;

    void fill_coeffs();
    void fill_weights();
    interpolate_fn_t create_nearest() const;
    interpolate_fn_t create_linear() const;
    interpolate_fn_t create_bilinear() const;
    interpolate_fn_t create_trilinear() const;

    // For fwd processing:
    const bool are_postops_set_;
    std::unique_ptr<ref_post_ops_t> ref_post_ops_;
    std::vector<resampling_utils::linear_coeffs_t> linear_coeffs_;

    // For bwd processing:
    std::vector<float> bwd_linear_weights_;
    std::vector<resampling_utils::bwd_linear_coeffs_t> bwd_linear_coeffs_;

    interpolate_fn_t interpolate_fn_;
};

struct simple_resampling_fwd_t : public primitive_t {
    struct pd_t : public cpu_resampling_fwd_pd_t {
        using cpu_resampling_fwd_pd_t::cpu_resampling_fwd_pd_t;

        DECLARE_COMMON_PD_T("simple:any", simple_resampling_fwd_t);

        status_t init(engine_t *engine) {
            using namespace format_tag;
            using namespace data_type;
            using sm = primitive_attr_t::skip_mask_t;

            VDISPATCH_RESAMPLING(is_fwd(), VERBOSE_BAD_PROPKIND);
            VDISPATCH_RESAMPLING(
                    !has_zero_dim_memory(), VERBOSE_EMPTY_TENSOR, "src");
            VDISPATCH_RESAMPLING(utils::one_of(src_md()->data_type, f32, s32,
                                         bf16, f16, s8, u8),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(utils::one_of(dst_md()->data_type, f32, s32,
                                         bf16, f16, s8, u8),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(
                    platform::has_data_type_support(src_md()->data_type),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(
                    platform::has_data_type_support(dst_md()->data_type),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(set_default_params() == status::success,
                    VERBOSE_BAD_PARAM, "cannot set default parameters");
            VDISPATCH_RESAMPLING(attr()->has_default_values(
                                         sm::post_ops, dst_md()->data_type),
                    VERBOSE_UNSUPPORTED_ATTR);
            VDISPATCH_RESAMPLING(
                    attr_.set_default_formats(dst_md(0)) == status::success,
                    VERBOSE_UNSUPPORTED_POSTOP);

            const bool has_binary
                    = attr()->post_ops_.find(primitive_kind::binary) >= 0;
            if (has_binary) {
                VDISPATCH_RESAMPLING(!(memory_desc_matches_one_of_tag(
                                               *dst_md(0), ncw, nchw, ncdhw)
                                             == format_tag::undef),
                        VERBOSE_UNSUPPORTED_TAG_S, "dst");
            }

            format_tag_t dat_tag = memory_desc_matches_one_of_tag(*src_md(),
                    nCw8c, nChw8c, nCdhw8c, nCw16c, nChw16c, nCdhw16c, ncw,
                    nchw, ncdhw, nwc, nhwc, ndhwc);
            VDISPATCH_RESAMPLING(memory_desc_matches_tag(*dst_md(), dat_tag),
                    VERBOSE_UNSUPPORTED_TAG_S, "dst");

            return status::success;
        }
    };

    simple_resampling_fwd_t(const pd_t *apd);
    status_t init(engine_t *engine) override;

    ~simple_resampling_fwd_t() override = default;

    status_t execute(const exec_ctx_t &ctx) const override;

private:
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }

    std::unique_ptr<simple_resampling_kernel_t> kernel_;
};

struct simple_resampling_bwd_t : public primitive_t {
    struct pd_t : public cpu_resampling_bwd_pd_t {
        using cpu_resampling_bwd_pd_t::cpu_resampling_bwd_pd_t;

        DECLARE_COMMON_PD_T("simple:any", simple_resampling_bwd_t);

        status_t init(engine_t *engine) {
            using namespace format_tag;
            using namespace data_type;
            VDISPATCH_RESAMPLING(!is_fwd(), VERBOSE_BAD_PROPKIND);
            VDISPATCH_RESAMPLING(
                    !has_zero_dim_memory(), VERBOSE_EMPTY_TENSOR, "src");
            VDISPATCH_RESAMPLING(utils::one_of(diff_dst_md()->data_type, f32,
                                         s32, bf16, f16, s8, u8),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(utils::one_of(diff_src_md()->data_type, f32,
                                         s32, bf16, f16, s8, u8),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(
                    platform::has_data_type_support(diff_dst_md()->data_type),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(
                    platform::has_data_type_support(diff_src_md()->data_type),
                    VERBOSE_UNSUPPORTED_DT);
            VDISPATCH_RESAMPLING(set_default_params() == status::success,
                    VERBOSE_BAD_PARAM, "cannot set default parameters");
            VDISPATCH_RESAMPLING(
                    attr()->has_default_values(), VERBOSE_UNSUPPORTED_ATTR);

            format_tag_t dat_tag = memory_desc_matches_one_of_tag(
                    *diff_src_md(), nCw8c, nChw8c, nCdhw8c, nCw16c, nChw16c,
                    nCdhw16c, ncw, nchw, ncdhw, nwc, nhwc, ndhwc);
            VDISPATCH_RESAMPLING(
                    memory_desc_matches_tag(*diff_dst_md(), dat_tag),
                    VERBOSE_UNSUPPORTED_TAG_S, "diff_dst");

            return status::success;
        }
    };

    simple_resampling_bwd_t(const pd_t *apd);
    status_t init(engine_t *engine) override;

    ~simple_resampling_bwd_t() override = default;

    status_t execute(const exec_ctx_t &ctx) const override;

private:
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }

    std::unique_ptr<simple_resampling_kernel_t> kernel_;
};

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

#endif