// Copyright (c) 2023 Huawei Technologies Co., Ltd
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// 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 "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"

namespace acl_op {
using npu_utils = at_npu::native::NpuUtils;

namespace {
std::tuple<at::Tensor&, at::Tensor&, at::Tensor&> apply_adam_out_npu_nocheck(
    at::Tensor& var_out,
    at::Tensor& m_out,
    at::Tensor& v_out,
    at::Scalar beta1_power,
    at::Scalar beta2_power,
    at::Scalar lr,
    at::Scalar beta1,
    at::Scalar beta2,
    at::Scalar epsilon,
    const at::Tensor& grad,
    c10::optional<bool> use_locking,
    c10::optional<bool> use_nesterov)
{
    at_npu::native::OpCommand cmd;
    auto var_out_dtype = var_out.scalar_type();
    cmd.Name("ApplyAdamD")
        .Input(var_out)
        .Input(m_out)
        .Input(v_out)
        .Input(beta1_power, var_out_dtype)
        .Input(beta2_power, var_out_dtype)
        .Input(lr, var_out_dtype)
        .Input(beta1, var_out_dtype)
        .Input(beta2, var_out_dtype)
        .Input(epsilon, var_out_dtype)
        .Input(grad)
        .Output(var_out)
        .Output(m_out)
        .Output(v_out);
    if (use_locking.has_value()) {
        cmd.Attr("use_locking", use_locking.value());
    }
    if (use_nesterov.has_value()) {
        cmd.Attr("use_nesterov", use_nesterov.value());
    }
    cmd.Run();
    return std::tie(var_out, m_out, v_out);
}
} // namespace

std::tuple<at::Tensor, at::Tensor, at::Tensor> npu_apply_adam(
    const at::Scalar& beta1_power,
    const at::Scalar& beta2_power,
    const at::Scalar& lr,
    const at::Scalar& beta1,
    const at::Scalar& beta2,
    const at::Scalar& epsilon,
    const at::Tensor& grad,
    c10::optional<bool> use_locking,
    c10::optional<bool> use_nesterov)
{
    TORCH_CHECK(false, "npu_apply_adam is not implemented for Tensor"
        + OPS_ERROR(ErrCode::PARAM));
}

std::tuple<at::Tensor&, at::Tensor&, at::Tensor&> npu_apply_adam_out(
    const at::Scalar& beta1_power,
    const at::Scalar& beta2_power,
    const at::Scalar& lr,
    const at::Scalar& beta1,
    const at::Scalar& beta2,
    const at::Scalar& epsilon,
    const at::Tensor& grad,
    c10::optional<bool> use_locking,
    c10::optional<bool> use_nesterov,
    at::Tensor& var,
    at::Tensor& m,
    at::Tensor& v)
{
    bool var_match = npu_utils::check_match(&var);
    bool m_match = npu_utils::check_match(&m);
    bool v_match = npu_utils::check_match(&v);
    if (!(var_match && m_match && v_match)) {
        at::Tensor contiguous_var = var_match ? var : npu_utils::format_contiguous(var);
        at::Tensor contiguous_m = m_match ? m : npu_utils::format_contiguous(m);
        at::Tensor contiguous_v = v_match ? v : npu_utils::format_contiguous(v);
        apply_adam_out_npu_nocheck(
            contiguous_var,
            contiguous_m,
            contiguous_v,
            beta1_power,
            beta2_power,
            lr,
            beta1,
            beta2,
            epsilon,
            grad,
            use_locking,
            use_nesterov);
        if (!var_match) {
            npu_utils::format_fresh_view(var, contiguous_var);
        }
        if (!m_match) {
            npu_utils::format_fresh_view(m, contiguous_m);
        }
        if (!v_match) {
            npu_utils::format_fresh_view(v, contiguous_v);
        }
    } else {
        apply_adam_out_npu_nocheck(
            var,
            m,
            v,
            beta1_power,
            beta2_power,
            lr,
            beta1,
            beta2,
            epsilon,
            grad,
            use_locking,
            use_nesterov);
    }
    return std::tie(var, m, v);
}
} // namespace acl_op