// Copyright (c) 2024 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 <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/mman.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <unistd.h>
#include "helper.h"
#include "paddle/extension.h"

__global__ void set_value_by_flags(bool *stop_flags,
                                   int64_t *topk_ids,
                                   int64_t *next_tokens,
                                   const int64_t *end_ids,
                                   const int *seq_lens,
                                   const int bs,
                                   const int end_length,
                                   bool beam_search,
                                   bool prefill_one_step_stop) {
    int tid = threadIdx.x;
    if (tid < bs) {
        if (prefill_one_step_stop) {
            stop_flags[tid] = true;
            if (seq_lens[tid] == 0) {
                topk_ids[tid] = -1;
            }
            next_tokens[tid] = topk_ids[tid];
        } else {
            if (stop_flags[tid]) {
                if (seq_lens[tid] == 0) {
                    topk_ids[tid] = -1;
                } else {
                    topk_ids[tid] = end_ids[0];
                    next_tokens[tid] = end_ids[0];
                }
            } else {
                next_tokens[tid] = topk_ids[tid];
            }
        }
        if (!beam_search && is_in_end(topk_ids[tid], end_ids, end_length)) {
            stop_flags[tid] = true;
        }
    }
}

void GetStopFlagsMulti(const paddle::Tensor &topk_ids,
                       const paddle::Tensor &stop_flags,
                       const paddle::Tensor &seq_lens,
                       const paddle::Tensor &end_ids,
                       const paddle::Tensor &next_tokens,
                       const bool beam_search) {
    PD_CHECK(topk_ids.dtype() == paddle::DataType::INT64);
    PD_CHECK(stop_flags.dtype() == paddle::DataType::BOOL);
    bool prefill_one_step_stop = false;
    if (const char *env_p = std::getenv("PREFILL_NODE_ONE_STEP_STOP")) {
        // std::cout << "Your PATH is: " << env_p << '\n';
        if (env_p[0] == '1') {
            prefill_one_step_stop = true;
        }
    }

#ifdef PADDLE_WITH_CUSTOM_DEVICE
    auto dev_ctx = static_cast<const phi::CustomContext*>(paddle::experimental::DeviceContextPool::Instance().Get(topk_ids.place()));
    auto cu_stream = dev_ctx->stream();
#else
    auto cu_stream = topk_ids.stream();
#endif
    std::vector<int64_t> shape = topk_ids.shape();
    int64_t bs_now = shape[0];
    int64_t end_length = end_ids.shape()[0];
    int block_size = (bs_now + WARP_SIZE - 1) / WARP_SIZE * WARP_SIZE;
    set_value_by_flags<<<1, block_size, 0, cu_stream>>>(
        const_cast<bool *>(stop_flags.data<bool>()),
        const_cast<int64_t *>(topk_ids.data<int64_t>()),
        const_cast<int64_t *>(next_tokens.data<int64_t>()),
        end_ids.data<int64_t>(),
        seq_lens.data<int>(),
        bs_now,
        end_length,
        beam_search,
        prefill_one_step_stop);
}

PD_BUILD_STATIC_OP(set_stop_value_multi_ends)
    .Inputs({"topk_ids", "stop_flags", "seq_lens", "end_ids", "next_tokens"})
    .Attrs({"beam_search: bool"})
    .Outputs({"topk_ids_out", "stop_flags_out", "next_tokens_out"})
    .SetInplaceMap({{"topk_ids", "topk_ids_out"},
                    {"stop_flags", "stop_flags_out"},
                    {"next_tokens", "next_tokens_out"}})
    .SetKernelFn(PD_KERNEL(GetStopFlagsMulti));