/*******************************************************************************
* Copyright 2021-2024 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_AVX512_CORE_AMX_DECONVOLUTION_HPP
#define CPU_X64_JIT_AVX512_CORE_AMX_DECONVOLUTION_HPP

#include "common/c_types_map.hpp"
#include "common/dnnl_thread.hpp"
#include "common/memory_tracking.hpp"
#include "common/primitive.hpp"
#include "common/utils.hpp"

#include "cpu/cpu_deconvolution_pd.hpp"

#include "cpu/x64/amx_tile_configure.hpp"
#include "cpu/x64/jit_avx512_core_amx_conv_kernel.hpp"

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

struct jit_avx512_core_amx_deconvolution_fwd_t : public primitive_t {
    struct pd_t : public cpu_deconvolution_fwd_pd_t {
        using cpu_deconvolution_fwd_pd_t::cpu_deconvolution_fwd_pd_t;

        DECLARE_COMMON_PD_T(
                JIT_IMPL_NAME_HELPER("jit_deconvolution:", jcp_.isa, ""),
                jit_avx512_core_amx_deconvolution_fwd_t);

        status_t init(engine_t *engine) {
            using namespace data_type;
            using smask_t = primitive_attr_t::skip_mask_t;
            bool is_bf16_deconvolution = true
                    && utils::everyone_is(true,
                            utils::one_of(src_md_.data_type, bf16),
                            weights_md_.data_type == bf16,
                            utils::one_of(dst_md_.data_type, f32, bf16))
                    && IMPLICATION(with_bias(),
                            utils::one_of(bias_md_.data_type, f32, bf16))
                    && attr()->has_default_values(smask_t::post_ops);
            bool is_int8_deconvolution = true
                    && utils::everyone_is(true,
                            utils::one_of(src_md_.data_type, s8, u8),
                            weights_md_.data_type == s8,
                            utils::one_of(dst_md_.data_type, f32, s32, s8, u8))
                    && IMPLICATION(with_bias(),
                            utils::one_of(bias_md_.data_type, f32, s32, s8, u8))
                    && attr()->has_default_values(
                            smask_t::scales_runtime | smask_t::post_ops)
                    && attr_scales_ok();

            VDISPATCH_DECONVOLUTION(is_fwd(), VERBOSE_BAD_PROPKIND);
            VDISPATCH_DECONVOLUTION(
                    (desc()->alg_kind & alg_kind::deconvolution_direct),
                    VERBOSE_BAD_ALGORITHM);
            VDISPATCH_DECONVOLUTION(
                    (is_bf16_deconvolution || is_int8_deconvolution),
                    VERBOSE_UNSUPPORTED_DT_CFG);
            VDISPATCH_DECONVOLUTION(
                    !has_zero_dim_memory(), VERBOSE_EMPTY_TENSOR, "");

            // TODO: make `init_conf` assign initialized object to `jcp_`
            CHECK(jit_avx512_core_amx_bwd_data_kernel_t::init_conf(jcp_,
                    *desc(), dst_md_, weights_md_, src_md_, &bias_md_, attr_,
                    dnnl_get_max_threads()));

            auto scratchpad = scratchpad_registry().registrar();
            jit_avx512_core_amx_bwd_data_kernel_t::init_scratchpad(
                    scratchpad, jcp_, *attr());

            return status::success;
        }

        jit_conv_conf_t jcp_ = utils::zero<decltype(jcp_)>();
    };

    jit_avx512_core_amx_deconvolution_fwd_t(const pd_t *apd)
        : primitive_t(apd) {}

    status_t init(engine_t *engine) override {
        CHECK(safe_ptr_assign(kernel_,
                new jit_avx512_core_amx_bwd_data_kernel_t(
                        pd()->jcp_, *pd()->attr())));
        return kernel_->create_kernel();
    }

    status_t execute(const exec_ctx_t &ctx) const override {
        const auto &_pd = pd();
        if (_pd->jcp_.is_depthwise) {
            assert(!"_pd->jcp_.is_depthwise not implemented");
            return status::unimplemented;
        } else
            return execute_forward(ctx);
    }

private:
    status_t execute_forward(const exec_ctx_t &ctx) const;
    const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
    void prepare_padded_bias(const char *&bias,
            const memory_tracking::grantor_t &scratchpad) const;

    std::unique_ptr<jit_avx512_core_amx_bwd_data_kernel_t> kernel_;
};

} // namespace x64
} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif

// vim: et ts=4 sw=4 cindent cino^=l0,\:0,N-s
