mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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111 lines
3.2 KiB
C++
111 lines
3.2 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <assert.h>
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#include <cstring>
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#include <iostream>
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#include <mutex>
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#include <queue>
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#include <vector>
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namespace paddle {
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namespace inference {
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namespace transfer {
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#define MAX_CACHE_LENGTH 10000
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using server_callback_fn = void(std::vector<int64_t>, void *);
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struct BatchResult {
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BatchResult(int64_t cur_batch_size, std::vector<int64_t> &cur_tokens)
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: batch_size(cur_batch_size), tokens(cur_tokens) {}
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int64_t batch_size;
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std::vector<int64_t> tokens;
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};
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class TokenTransfer {
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public:
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TokenTransfer(const TokenTransfer &o) = delete;
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const TokenTransfer &operator=(const TokenTransfer &o) = delete;
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~TokenTransfer() {}
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static TokenTransfer &Instance() {
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static TokenTransfer instance;
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return instance;
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}
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void RegisterCallback(server_callback_fn *cb_fn, void *cb_data) {
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stream_cb_fn_ = cb_fn;
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stream_cb_data_ = cb_data;
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}
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void UnRegisterCallback() {
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stream_cb_fn_ = nullptr;
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stream_cb_data_ = nullptr;
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}
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// once copy: cpu --> cpu
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// arrary length should be (1 + MAX_BATCH)
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bool GetBatchToken(int64_t *array) {
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if (Empty()) {
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return false;
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} else {
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assert(array != nullptr);
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std::lock_guard<std::mutex> mtx(mtx_);
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array[0] = q_.front().batch_size;
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if (array[0] != 0) {
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memmove(reinterpret_cast<void *>(array + 1),
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reinterpret_cast<void *>(q_.front().tokens.data()),
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sizeof(int64_t) * array[0]);
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}
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q_.pop();
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return true;
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}
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}
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void PushBatchToken(int64_t cur_batch_size, int64_t *cur_tokens) {
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std::lock_guard<std::mutex> mtx(mtx_);
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if (q_.size() > MAX_CACHE_LENGTH) {
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std::cout << "Warning: The queue that stores the results "
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<< "has exceeded MAX_CACHE_LENGTH and will be forcefully "
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"cleared."
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<< std::endl;
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std::queue<BatchResult> empty;
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std::swap(q_, empty);
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}
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std::vector<int64_t> tmp(cur_tokens, cur_tokens + cur_batch_size);
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q_.emplace(cur_batch_size, tmp);
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}
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bool Empty() {
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std::lock_guard<std::mutex> mtx(mtx_);
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return q_.empty();
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}
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server_callback_fn *stream_cb_fn_ = nullptr;
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void *stream_cb_data_ = nullptr;
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private:
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TokenTransfer() {}
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std::mutex mtx_;
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std::queue<BatchResult> q_;
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};
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} // namespace transfer
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} // namespace inference
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} // namespace paddle
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