// 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/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor& embedding_renorm_(
    at::Tensor& self,
    const at::Tensor& indices,
    double max_norm,
    double norm_type)
{
    DO_COMPATIBILITY(aclnnEmbeddingRenorm, acl_op::embedding_renorm_(self, indices, max_norm, norm_type));
    auto self_arg = at::TensorArg(self, "self", 1);
    auto indices_arg = at::TensorArg(indices, "indices", 2);
    at::checkDim("embedding_renorm_", self_arg, 2);
    at::checkScalarTypes("embedding_renorm_", indices_arg, {at::kLong, at::kInt});

    at::Tensor indices_copy = indices.clone();
    auto num_indices = indices.numel();
    at::native::resize_(indices_copy, num_indices);

    EXEC_NPU_CMD(aclnnEmbeddingRenorm, self, indices_copy, max_norm, norm_type);

    return self;
}

}