/**
 * Copyright (c) 2025 Huawei Technologies Co., Ltd.
 * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
 * CANN Open Software License Agreement Version 2.0 (the "License").
 * Please refer to the License for details. You may not use this file except in compliance with the License.
 * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
 * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
 * See LICENSE in the root of the software repository for the full text of the License.
 */

#include "aclnn_cosh.h"
#include "aclnn_kernels/contiguous.h"
#include "cosh.h"
#include "aclnn_kernels/cast.h"
#include "aclnn_kernels/common/op_error_check.h"
#include "op_api/op_api_def.h"
#include "opdev/common_types.h"
#include "opdev/data_type_utils.h"
#include "opdev/format_utils.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
#include "opdev/tensor_view_utils.h"
#include "opdev/platform.h"
#include "op_api/level2_base.h"

using namespace op;
#ifdef __cplusplus
extern "C" {
#endif

constexpr size_t MAX_DIM_LEN = 8;
static const std::initializer_list<op::DataType> ASCEND910_DTYPE_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_FLOAT, op::DataType::DT_FLOAT16, op::DataType::DT_BOOL,
    op::DataType::DT_UINT8, op::DataType::DT_INT8, op::DataType::DT_INT16,
    op::DataType::DT_INT32, op::DataType::DT_INT64, op::DataType::DT_COMPLEX64,
    op::DataType::DT_COMPLEX128, op::DataType::DT_DOUBLE
    };

static const std::initializer_list<op::DataType> ASCEND910B_DTYPE_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_FLOAT, op::DataType::DT_FLOAT16, op::DataType::DT_BOOL,
    op::DataType::DT_UINT8, op::DataType::DT_INT8, op::DataType::DT_INT16,
    op::DataType::DT_INT32, op::DataType::DT_INT64, op::DataType::DT_COMPLEX64,
    op::DataType::DT_COMPLEX128, op::DataType::DT_DOUBLE, op::DataType::DT_BF16
    };

static const std::initializer_list<op::DataType> DTYPE_OUT_LIST = {
    op::DataType::DT_FLOAT,      op::DataType::DT_FLOAT16,    op::DataType::DT_DOUBLE, op::DataType::DT_COMPLEX64,
    op::DataType::DT_COMPLEX128, op::DataType::DT_BF16};

static const std::initializer_list<op::DataType> DTYPE_CAST_LIST = {
    op::DataType::DT_BOOL, op::DataType::DT_UINT8, op::DataType::DT_INT8,
    op::DataType::DT_INT16, op::DataType::DT_INT32, op::DataType::DT_INT64
    };

static const std::initializer_list<op::DataType> ASCEND910_DTYPE_SELFREF_LIST = {
    op::DataType::DT_FLOAT,      op::DataType::DT_FLOAT16,    op::DataType::DT_DOUBLE, op::DataType::DT_COMPLEX64,
    op::DataType::DT_COMPLEX128};

static bool CheckInplaceDtypeValid(aclTensor *selfRef) {
  auto inplaceSupportList = GetDtypeSupportListV2(DTYPE_OUT_LIST, ASCEND910_DTYPE_SELFREF_LIST);
  // 检查selfRef的数据类型是否在inplace cosh算子的支持列表内
  OP_CHECK_DTYPE_NOT_SUPPORT(selfRef, inplaceSupportList, return false);

  return true;
}

static aclnnStatus CheckParams(const aclTensor *self, const aclTensor *out) {
  // 1. 检查参数是否为空指针
  CHECK_RET(CheckNotNull2Tensor(self, out), ACLNN_ERR_PARAM_NULLPTR);

  // 2. 检查输入的数据类型是否在API支持的数据类型范围之内，需要根据api定义校验
  auto supportList = GetDtypeSupportListV2(ASCEND910B_DTYPE_DTYPE_SUPPORT_LIST, ASCEND910_DTYPE_DTYPE_SUPPORT_LIST);
  CHECK_RET(CheckDtypeValid1In1Out(self, out, supportList, DTYPE_OUT_LIST), ACLNN_ERR_PARAM_INVALID);

  // 3. 检查输入shape
  CHECK_RET(CheckSameShape1In1Out(self, out), ACLNN_ERR_PARAM_INVALID);

  return ACLNN_SUCCESS;
}

static aclnnStatus CheckInplaceParams(aclTensor *selfRef) {
  OP_CHECK_NULL(selfRef, return ACLNN_ERR_PARAM_NULLPTR);

  // 检查selfRef的数据类型是否在inplace cosh算子的支持列表内
  CHECK_RET(CheckInplaceDtypeValid(selfRef), ACLNN_ERR_PARAM_INVALID);
  return ACLNN_SUCCESS;
}


aclnnStatus aclnnCoshGetWorkspaceSize(const aclTensor *self,
                                      aclTensor *out,
                                      uint64_t *workspaceSize,
                                      aclOpExecutor **executor) {
  L2_DFX_PHASE_1(aclnnCosh, DFX_IN(self), DFX_OUT(out));

  // 固定写法，创建OpExecutor
  auto uniqueExecutor = CREATE_EXECUTOR();
  CHECK_RET(uniqueExecutor.get() != nullptr, ACLNN_ERR_INNER_CREATE_EXECUTOR);

  // 固定写法，参数检查
  auto ret = CheckParams(self, out);
  CHECK_RET(ret == ACLNN_SUCCESS, ret);
  
  // 空tensor支持
  if (self->IsEmpty()) {
    *workspaceSize = 0;
    uniqueExecutor.ReleaseTo(executor);
    return ACLNN_SUCCESS;
  }

  // 固定写法，将输入self转换成连续的tensor
  auto selfContiguous = l0op::Contiguous(self, uniqueExecutor.get());
  // 调用cast将部分类型转换成FLOAT32进行计算
  if (CheckType(self->GetDataType(), DTYPE_CAST_LIST)) {
    selfContiguous = l0op::Cast(selfContiguous, op::DataType::DT_FLOAT, uniqueExecutor.get());
  }
  CHECK_RET(selfContiguous != nullptr, ACLNN_ERR_INNER_NULLPTR);

  // 调用cosh进行计算
  auto coshOut = l0op::Cosh(selfContiguous, uniqueExecutor.get());
  CHECK_RET(coshOut != nullptr, ACLNN_ERR_INNER_NULLPTR);

  // 固定写法，将计算结果转换成输出out的数据类型
  auto castOut = l0op::Cast(coshOut, out->GetDataType(), uniqueExecutor.get());
  CHECK_RET(castOut != nullptr, ACLNN_ERR_INNER_NULLPTR);

  // 固定写法，将计算结果拷贝到输出out上，out可能是非连续的tensor
  auto viewCopyResult = l0op::ViewCopy(castOut, out, uniqueExecutor.get());
  CHECK_RET(viewCopyResult != nullptr, ACLNN_ERR_INNER_NULLPTR);

  *workspaceSize = uniqueExecutor->GetWorkspaceSize();
  uniqueExecutor.ReleaseTo(executor);

  return ACLNN_SUCCESS;
}

aclnnStatus aclnnCosh(void *workspace, uint64_t workspaceSize, aclOpExecutor *executor, aclrtStream stream) {
  L2_DFX_PHASE_2(aclnnCosh);
  // 固定写法，调用框架能力，完成计算
  return CommonOpExecutorRun(workspace, workspaceSize, executor, stream);
}

aclnnStatus aclnnInplaceCoshGetWorkspaceSize(aclTensor *selfRef,
                                             uint64_t *workspaceSize,
                                             aclOpExecutor **executor) {
  auto out = const_cast<aclTensor*>(selfRef);
  auto ret = CheckInplaceParams(selfRef);
  CHECK_RET(ret == ACLNN_SUCCESS, ret);
  return aclnnCoshGetWorkspaceSize(selfRef, out, workspaceSize, executor);
}

aclnnStatus aclnnInplaceCosh(void *workspace, uint64_t workspaceSize,
                             aclOpExecutor *executor, aclrtStream stream) {
  L2_DFX_PHASE_2(aclnnInplaceCosh);
  // 固定写法，调用框架能力，完成计算
  return CommonOpExecutorRun(workspace, workspaceSize, executor, stream);
}
#ifdef __cplusplus
}
#endif