// 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 <xft/xdnn_plugin.h>
#include "paddle/extension.h"
#include "xpu/plugin.h"

#ifndef PD_BUILD_STATIC_OP
#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
#endif

std::vector<paddle::Tensor> GatherNextToken(
    const paddle::Tensor& x,  // [token_num, dim_embed]
    const paddle::Tensor& encoder_seq_lod,
    const paddle::Tensor& decoder_seq_lod,
    const paddle::Tensor& encoder_batch_map,
    const paddle::Tensor& decoder_batch_map,
    const paddle::Tensor& encoder_seq_lod_cpu,
    const paddle::Tensor& decoder_seq_lod_cpu,
    const paddle::Tensor& encoder_batch_map_cpu,
    const paddle::Tensor& decoder_batch_map_cpu,
    const paddle::Tensor& len_info_cpu,
    bool is_speculative,
    int max_bsz) {
  phi::XPUPlace place(phi::backends::xpu::GetXPUCurrentDeviceId());
  auto dev_ctx = paddle::experimental::DeviceContextPool::Instance().Get(place);
  auto ctx = static_cast<const phi::XPUContext*>(dev_ctx)->x_context();
  if (x.is_cpu()) {
    ctx = new baidu::xpu::api::Context(baidu::xpu::api::kCPU);
  }
  using XPUType =
      typename XPUTypeTrait<bfloat16>::Type;  // only support bfloat16
  typedef paddle::bfloat16 data_t;
  const int dim = x.dims()[1];
  const int token_num = x.shape()[0];
  int bsz = -1;
  int enc_batch = len_info_cpu.data<int32_t>()[0];
  int dec_batch = len_info_cpu.data<int32_t>()[1];
  if (max_bsz > 0) {
    PD_CHECK(encoder_batch_map_cpu.data<int32_t>()[enc_batch - 1] <= max_bsz,
             "encoder_batch_map_cpu check failed");
    PD_CHECK(decoder_batch_map_cpu.data<int32_t>()[dec_batch - 1] <= max_bsz,
             "decoder_batch_map_cpu check failed");
    bsz = max_bsz;
  }
  baidu::xpu::api::VectorParam<int32_t> encoder_seqs_lods_vp{
      const_cast<int32_t*>(encoder_seq_lod_cpu.data<int32_t>()),
      enc_batch + 1,
      const_cast<int32_t*>(encoder_seq_lod.data<int32_t>())};
  baidu::xpu::api::VectorParam<int32_t> decoder_seqs_lods_vp{
      const_cast<int32_t*>(decoder_seq_lod_cpu.data<int32_t>()),
      dec_batch + 1,
      const_cast<int32_t*>(decoder_seq_lod.data<int32_t>())};
  baidu::xpu::api::VectorParam<int32_t> encoder_batch_map_vp{
      const_cast<int32_t*>(encoder_batch_map_cpu.data<int32_t>()),
      enc_batch,
      const_cast<int32_t*>(encoder_batch_map.data<int32_t>())};
  baidu::xpu::api::VectorParam<int32_t> decoder_batch_map_vp{
      const_cast<int32_t*>(decoder_batch_map_cpu.data<int32_t>()),
      dec_batch,
      const_cast<int32_t*>(decoder_batch_map.data<int32_t>())};

  paddle::Tensor out;
  if (is_speculative) {
    int need_delete_token_num = 0;
    if (enc_batch > 0) {
      need_delete_token_num =
          encoder_seq_lod_cpu.data<int32_t>()[enc_batch] - enc_batch;
    }
    out = paddle::empty(
        {token_num - need_delete_token_num, dim}, x.type(), x.place());
  } else {
    out = paddle::empty({bsz, dim}, x.type(), x.place());
  }
  if (x.shape()[0] == 0) {
    return {out};
  }

  if (is_speculative) {
    int r = fastdeploy::plugin::eb_mtp_gather_next_token<XPUType, XPUType>(
        ctx,
        reinterpret_cast<const XPUType*>(x.data<data_t>()),
        reinterpret_cast<XPUType*>(out.data<data_t>()),
        encoder_seqs_lods_vp,
        decoder_seqs_lods_vp,
        encoder_batch_map_vp,
        decoder_batch_map_vp,
        dim);
    PD_CHECK(r == 0, "fastdeploy::plugin::gather_next_token failed.");
  } else {
    int r = fastdeploy::plugin::eb_gather_next_token<XPUType, XPUType>(
        ctx,
        reinterpret_cast<const XPUType*>(x.data<data_t>()),
        reinterpret_cast<XPUType*>(out.data<data_t>()),
        encoder_seqs_lods_vp,
        encoder_batch_map_vp,
        decoder_batch_map_vp,
        dim);
    PD_CHECK(r == 0, "fastdeploy::plugin::gather_next_token failed.");
  }
  return {out};
}

std::vector<std::vector<int64_t>> GatherNextTokenInferShape(
    const std::vector<int64_t>& x_shape,
    const std::vector<int64_t>& encoder_seq_lod_shape,
    const std::vector<int64_t>& decoder_seq_lod_shape,
    const std::vector<int64_t>& encoder_batch_map_shape,
    const std::vector<int64_t>& decoder_batch_map_shape,
    const std::vector<int64_t>& encoder_seq_lod_cpu_shape,
    const std::vector<int64_t>& decoder_seq_lod_cpu_shape,
    const std::vector<int64_t>& encoder_batch_map_cpu_shape,
    const std::vector<int64_t>& decoder_batch_map_cpu_shape,
    const std::vector<int64_t>& len_info_cpu_shape,
    bool is_speculative) {
  int64_t bsz = 0;
  int64_t dim_embed = x_shape[1];
  if (is_speculative) {
    return {{-1, dim_embed}};
  } else {
    return {{bsz, dim_embed}};
  }
}

std::vector<paddle::DataType> GatherNextTokenInferDtype(
    const paddle::DataType& x_dtype,
    const paddle::DataType& encoder_seq_lod_dtype,
    const paddle::DataType& decoder_seq_lod_dtype,
    const paddle::DataType& encoder_batch_map_dtype,
    const paddle::DataType& decoder_batch_map_dtype,
    const paddle::DataType& encoder_seq_lod_cpu_dtype,
    const paddle::DataType& decoder_seq_lod_cpu_dtype,
    const paddle::DataType& encoder_batch_map_cpu_dtype,
    const paddle::DataType& decoder_batch_map_cpu_dtype,
    const paddle::DataType& len_info_cpu_dtype) {
  return {x_dtype};
}

PD_BUILD_STATIC_OP(gather_next_token)
    .Inputs({"x",
             "encoder_seq_lod",
             "decoder_seq_lod",
             "encoder_batch_map",
             "decoder_batch_map",
             "encoder_seq_lod_cpu",
             "decoder_seq_lod_cpu",
             "encoder_batch_map_cpu",
             "decoder_batch_map_cpu",
             "len_info_cpu"})
    .Outputs({"out"})
    .Attrs({"is_speculative: bool", "max_bsz: int"})
    .SetKernelFn(PD_KERNEL(GatherNextToken))
    .SetInferShapeFn(PD_INFER_SHAPE(GatherNextTokenInferShape))
    .SetInferDtypeFn(PD_INFER_DTYPE(GatherNextTokenInferDtype));
