/**
  * 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 "not_equal_v2.h"
#include "opdev/aicpu/aicpu_task.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
#include "op_api/aclnn_check.h"

using namespace op;

namespace l0op {

OP_TYPE_REGISTER(NotEqualV2);

// AICORE
static const std::initializer_list<op::DataType> AICORE910_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_FLOAT, op::DataType::DT_INT32, op::DataType::DT_INT64, op::DataType::DT_FLOAT16,
    op::DataType::DT_INT8,  op::DataType::DT_UINT8, op::DataType::DT_BOOL,  op::DataType::DT_BF16};

static const std::initializer_list<op::DataType> ASCEND950_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_FLOAT, op::DataType::DT_INT32, op::DataType::DT_INT64, op::DataType::DT_FLOAT16,
    op::DataType::DT_INT8,  op::DataType::DT_UINT8, op::DataType::DT_BOOL, op::DataType::DT_BF16,
    op::DataType::DT_UINT64};

// AICPU TF
static const std::initializer_list<op::DataType> AICPU_TF_DTYPE_SUPPORT_LIST = {
    op::DataType::DT_COMPLEX64,
    op::DataType::DT_COMPLEX128};

// 根据芯片类型、dtype判断算子是否支持走aicore
static bool IsAiCoreSupport(const aclTensor *self) {
  if (IsRegBase()) {
    return CheckType(self->GetDataType(), ASCEND950_DTYPE_SUPPORT_LIST);
  }
  return CheckType(self->GetDataType(), AICORE910_DTYPE_SUPPORT_LIST);
}

// AICORE算子kernel
static const aclTensor *NotEqualV2AiCore(const aclTensor *self, const aclTensor *other,
                                         aclTensor *neOut, aclOpExecutor *executor) {
  L0_DFX(NotEqualV2AiCore, self, other, neOut);
  // 使用框架宏 ADD_TO_LAUNCHER_LIST_AICORE，将NotEqualV2算子加入任务队列
  auto ret = ADD_TO_LAUNCHER_LIST_AICORE(NotEqualV2,
                                         OP_INPUT(self, other),
                                         OP_OUTPUT(neOut));
  OP_CHECK(ret ==  ACLNN_SUCCESS, OP_LOGE(ACLNN_ERR_INNER_NULLPTR, "NotEqualV2AiCore ADD_TO_LAUNCHER_LIST_AICORE failed."),
    return nullptr);
  return neOut;
}

// AICPU算子kernel
static const aclTensor *NotEqualV2AiCpu(const aclTensor *self, const aclTensor *other,
                                        aclTensor *neOut, aclOpExecutor *executor) {
  L0_DFX(NotEqualV2AiCpu, self, other);

  static internal::AicpuTaskSpace space("NotEqualV2");
  // 使用框架宏ADD_TO_LAUNCHER_LIST_AICPU，将NotEqualV2算子加入任务队列
  auto ret = ADD_TO_LAUNCHER_LIST_AICPU(NotEqualV2, OP_ATTR_NAMES(), OP_INPUT(self, other), OP_OUTPUT(neOut));
  CHECK_RET(ret == ACLNN_SUCCESS, nullptr);

  return neOut;
}

// AICPU算子 TF
static const aclTensor *NotEqualV2AiCpuTf(const aclTensor *self, const aclTensor *other,
                                          aclTensor *neOut, aclOpExecutor *executor) {
  L0_DFX(NotEqualV2AiCpuTf, self, other);

  // 走TF
  static internal::AicpuTaskSpace space("NotEqualV2", ge::DEPEND_IN_SHAPE, true);

  // 使用框架宏ADD_TO_LAUNCHER_LIST_AICPU，将NotEqualV2算子加入任务队列
  auto ret = ADD_TO_LAUNCHER_LIST_AICPU(NotEqualV2,
                                        OP_ATTR_NAMES({"T", "incompatible_shape_error"}),
                                        OP_INPUT(self, other),
                                        OP_OUTPUT(neOut),
                                        OP_ATTR(self->GetDataType(), true));
  CHECK_RET(ret == ACLNN_SUCCESS, nullptr);

  return neOut;
}

const aclTensor *NotEqualV2(const aclTensor *self, const aclTensor *other, aclOpExecutor *executor) {
  op::Shape outShape;
  if (!BroadcastInferShape(self->GetViewShape(), other->GetViewShape(), outShape)) {
    OP_LOGE(ACLNN_ERR_PARAM_INVALID, "Broadcast %s and %s failed.", op::ToString(self->GetViewShape()).GetString(),
            op::ToString(other->GetViewShape()).GetString());
    return nullptr;
  }

  auto neOut = executor->AllocTensor(outShape, op::DataType::DT_BOOL, op::Format::FORMAT_ND);

  if (IsAiCoreSupport(self) && IsAiCoreSupport(other)) {
    return NotEqualV2AiCore(self, other, neOut, executor);
  } else {
    if (CheckType(self->GetDataType(), AICPU_TF_DTYPE_SUPPORT_LIST) ||
      CheckType(other->GetDataType(), AICPU_TF_DTYPE_SUPPORT_LIST)) {
      return NotEqualV2AiCpuTf(self, other, neOut, executor);
    } else {
      return NotEqualV2AiCpu(self, other, neOut, executor);
    }
  }
}
}  // namespace l0op