/*******************************************************************************
* Copyright 2021-2025 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.
*******************************************************************************/

#include "gpu/intel/jit/ir/fma.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace jit {

fma_kind_t get_supported_fma_kind(
        const hw_t &hw, const type_t &a, const type_t &b, const type_t &c) {
    if (hw >= ngen::HW::XeHP && hw.systolic_support()
            && dpas_t::matches_types(hw, a, b, c)) {
        if (hw >= ngen::HW::XeHPC)
            return fma_kind_t::dpas;
        else
            return fma_kind_t::dpasw;
    }
    if ((hw == ngen::HW::XeLP
                || (hw >= ngen::HW::XeHP && !hw.systolic_support()))
            && (a.is_x8() && b.is_x8() && c.is_s32()))
        return fma_kind_t::dp4a;
    if (mad_t::matches_types(hw, a, b, c)) return fma_kind_t::mad;
    return fma_kind_t::undef;
}

int get_simd_size(const hw_t &hw, const fma_kind_t kind, const type_t &a,
        const type_t &b, const type_t &c) {
    int ret = 0;
    switch (kind) {
        case fma_kind_t::dp4a:
        case fma_kind_t::dpas:
        case fma_kind_t::dpasw: ret = hw >= ngen::HW::XeHPC ? 16 : 8; break;
        case fma_kind_t::mad: ret = mad_t::get_simd_size(hw, a, b, c); break;
        default: break;
    }
    gpu_assert(ret != 0);
    return ret;
}

type_t multiply_desc_t::get_c_type(
        const type_t &a, const type_t &b, bool force_c_upconvert) {
    if (utils::one_of(
                a, type_t::s8(), type_t::u8(), type_t::s16(), type_t::s32())
            && utils::one_of(b, type_t::s8(), type_t::u8(), type_t::s16(),
                    type_t::s32()))
        return type_t::s32();

    if (a == type_t::bf16() && b == type_t::bf16()) return type_t::f32();
    if (a == type_t::tf32() && b == type_t::tf32()) return type_t::f32();
    if (a == type_t::f32() && b == type_t::f32()) return type_t::f32();
    if (a == type_t::f64() && b == type_t::f64()) return type_t::f64();

    if (utils::one_of(a, type_t::f16(), type_t::bf16()) && b == type_t::f32()) {
        return type_t::f32();
    }

    if (a == type_t::f16() && b == type_t::f16()) {
        if (force_c_upconvert) return type_t::f32();
        return type_t::f16();
    }

    gpu_error_not_expected()
            << "Can't deduce C type. A type: " << a << " B type: " << b;
    return type_t::undef();
}

bool dpas_t::is_src_type(type_t type) {
    return utils::one_of(type.kind(), type_kind_t::u8, type_kind_t::s8,
            type_kind_t::bf16, type_kind_t::f16, type_kind_t::tf32);
}

layout_t dpas_t::a_layout() const {
    if (!is_src_type(src1_type)) gpu_error_not_expected();

    int m_blk = exec_size;
    int inner_blk = 4 / src1_type.size();
    int outer_blk = sdepth;
    std::vector<std::pair<int, dim_t>> blocks
            = {{1, outer_blk}, {0, m_blk}, {1, inner_blk}};
    return layout_t(src1_type, 0, 2, blocks);
}

layout_t dpas_t::b_layout() const {
    if (!is_src_type(src2_type)) gpu_error_not_expected();

    int n_blk = rcount;
    int k_blk = sdepth * 4 / src2_type.size();
    std::vector<dim_t> blocks = {n_blk, k_blk};
    auto tmp = layout_t(src2_type, 0, blocks);
    return tmp.transpose();
}

layout_t dpas_t::c_layout() const {
    int m_blk = exec_size;
    int n_blk = rcount;
    std::vector<dim_t> dims = {n_blk, m_blk};
    return layout_t(dst_type, 0, dims).transpose();
}

bool dpas_t::matches(const multiply_desc_t &desc) const {
    int m_blk = exec_size;
    int n_blk = rcount;
    int k_blk = sdepth * 4 / src1_type.size();

    if (desc.m() % m_blk != 0 || desc.k() % k_blk != 0) return false;

    auto a_blk_layout = desc.a_layout().map(tensor_t({m_blk, k_blk}));
    auto b_blk_layout = desc.b_layout().map(tensor_t({k_blk, n_blk}));

    if (a_blk_layout != a_layout()) return false;
    if (b_blk_layout != b_layout()) return false;

    return true;
}

bool dpas_t::matches_types(
        const hw_t &hw, const type_t &a, const type_t &b, const type_t &c) {
    if (a.is_x8() && b.is_x8() && c.is_s32()) return true;
    if (a.is_fp8() && b.is_fp8() && (c.is_f32() || c.is_bf16())) return true;
    if (a.is_fp4() && b.is_fp4() && (c.is_f32() || c.is_bf16())) return true;
    if (a.is_f16() && b.is_f16() && c.is_f32()) return true;
    if (a.is_bf16() && b.is_bf16() && c.is_f32()) return true;
    if (a.is_tf32() && b.is_tf32() && c.is_f32() && hw >= ngen::HW::XeHPC)
        return true;

    return false;
}

bool mad_t::matches_types(
        const hw_t &hw, const type_t &a, const type_t &b, const type_t &c) {
    if (a != b && !(a.is_x8() && b.is_x8())) return false;

    if (a.is_fp8() && b.is_fp8()) return true;
    if (a.is_fp4() && b.is_fp4()) return true;
    if (a.is_f64() && c.is_f64()) return true;
    if (a.is_f32() && c.is_f32()) return true;
    if (a.is_f16() && c.is_f16()) return true;
    if (a.is_f16() && c.is_f32()) return true;
    if (a.is_bf16() && c.is_f32()) return true;
    if (a.is_f32() && c.is_bf16()) return true;
    if (a.is_x8() && (c.is_x16() || c.is_x32())) return true;
    if ((a.is_x16() || a.is_x32()) && (c.is_x16() || c.is_x32())) return true;

    return false;
}

} // namespace jit
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl
