// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// 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 <paddle/phi/backends/xpu/xpu_context.h>
#include "paddle/extension.h"
#include "xpu/plugin.h"

void TextImageIndexOut(
            const paddle::Tensor& token_type_ids,
            const paddle::Tensor& text_index,
            const paddle::Tensor& image_index) {
    if (token_type_ids.type() != paddle::DataType::INT32 || text_index.type()
            != paddle::DataType::INT32 || image_index.type() != paddle::DataType::INT32) {
        PD_THROW("NOT supported data type. Only support BFLOAT16. ");
    }
    phi::XPUPlace place(phi::backends::xpu::GetXPUCurrentDeviceId());
    auto dev_ctx = paddle::experimental::DeviceContextPool::Instance().Get(place);
    auto xpu_ctx = static_cast<const phi::XPUContext*>(dev_ctx);
    const int64_t token_num = token_type_ids.shape()[0];
    int r = baidu::xpu::api::plugin::text_image_index_out(xpu_ctx->x_context(),
                                                          token_type_ids.data<int32_t>(),
                                                          const_cast<int32_t*>(text_index.data<int32_t>()),
                                                          const_cast<int32_t*>(image_index.data<int32_t>()),
                                                          token_num);
    PADDLE_ENFORCE_XDNN_SUCCESS(r, "text_image_index_out");
}


PD_BUILD_OP(text_image_index_out)
    .Inputs({"token_type_ids",
             "text_index",
             "image_index"})
    .Outputs({"text_index_out",
              "image_index_out"})
    .SetInplaceMap({{"text_index", "text_index_out"},
                    {"image_index", "image_index_out"}})
    .SetKernelFn(PD_KERNEL(TextImageIndexOut));
