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 * Copyright (c) 2022 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,
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 * See the License for the specific language governing permissions and
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#ifndef PYTORCH_NPU_HELPER_HPP_
#define PYTORCH_NPU_HELPER_HPP_

#include <torch_npu/csrc/aten/CustomFunctions.h>
#include <torch_npu/csrc/framework/utils/CalcuOpUtil.h>
#include <torch_npu/csrc/framework/utils/OpAdapter.h>

#include "pytorch_cpp_helper.hpp"
#include "pytorch_device_registry.hpp"

#define NPU_NAME_SPACE at_npu::native

#if MMCV_WITH_XLA
#define REGISTER_NPU_IMPL(key, value) REGISTER_DEVICE_IMPL(key, XLA, value)
#else
#define REGISTER_NPU_IMPL(key, value) \
  REGISTER_DEVICE_IMPL(key, PrivateUse1, value)
#endif

#define CHECK_NPU(x)                                                          \
  TORCH_CHECK(                                                                \
      x.device().type() == at::kXLA || x.device().type() == at::kPrivateUse1, \
      #x " must be a NPU tensor")

#endif  // PYTORCH_NPU_HELPER_HPP_
