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<li class="toctree-l1"><a class="reference internal" href="../../advanced/gpt-attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../advanced/lora.html">Run gpt-2b + LoRA using GptManager / cpp runtime</a></li>
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<p class="caption" role="heading"><span class="caption-text">Performance</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../../blogs/H100vsA100.html">H100 has 4.6x A100 Performance in TensorRT-LLM, achieving 10,000 tok/s at 100ms to first token</a></li>
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<h1>Source code for tensorrt_llm.executor</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span> <span class="nn">asyncio</span>
<span class="kn">import</span> <span class="nn">atexit</span>
<span class="kn">import</span> <span class="nn">concurrent.futures</span>
<span class="kn">import</span> <span class="nn">datetime</span>
<span class="kn">import</span> <span class="nn">io</span>
<span class="kn">import</span> <span class="nn">json</span>
<span class="kn">import</span> <span class="nn">secrets</span>
<span class="kn">import</span> <span class="nn">time</span>
<span class="kn">import</span> <span class="nn">traceback</span>
<span class="kn">from</span> <span class="nn">abc</span> <span class="kn">import</span> <span class="n">ABC</span><span class="p">,</span> <span class="n">abstractmethod</span>
<span class="kn">from</span> <span class="nn">dataclasses</span> <span class="kn">import</span> <span class="n">dataclass</span><span class="p">,</span> <span class="n">field</span>
<span class="kn">from</span> <span class="nn">multiprocessing.connection</span> <span class="kn">import</span> <span class="n">Client</span><span class="p">,</span> <span class="n">Listener</span>
<span class="kn">from</span> <span class="nn">multiprocessing.shared_memory</span> <span class="kn">import</span> <span class="n">SharedMemory</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>
<span class="kn">from</span> <span class="nn">queue</span> <span class="kn">import</span> <span class="n">Queue</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="p">(</span><span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Generator</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">NamedTuple</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span>
<span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">._utils</span> <span class="kn">import</span> <span class="n">mpi_rank</span><span class="p">,</span> <span class="n">mpi_world_size</span>
<span class="kn">from</span> <span class="nn">.bindings</span> <span class="kn">import</span> <span class="n">executor</span> <span class="k">as</span> <span class="n">tllm</span>
<span class="kn">from</span> <span class="nn">.builder</span> <span class="kn">import</span> <span class="n">ConfigEncoder</span><span class="p">,</span> <span class="n">Engine</span><span class="p">,</span> <span class="n">EngineConfig</span>
<span class="kn">from</span> <span class="nn">.hlapi.mpi_session</span> <span class="kn">import</span> <span class="p">(</span><span class="n">MpiPoolSession</span><span class="p">,</span> <span class="n">MpiSession</span><span class="p">,</span>
<span class="n">external_mpi_comm_available</span><span class="p">,</span> <span class="n">find_free_port</span><span class="p">,</span>
<span class="n">need_spawn_mpi_workers</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">.hlapi.utils</span> <span class="kn">import</span> <span class="p">(</span><span class="n">ManagedThread</span><span class="p">,</span> <span class="n">SamplingParams</span><span class="p">,</span> <span class="n">enable_llm_debug</span><span class="p">,</span>
<span class="n">print_colored</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">.lora_manager</span> <span class="kn">import</span> <span class="n">LoraManager</span>
<span class="kn">from</span> <span class="nn">.runtime</span> <span class="kn">import</span> <span class="n">ModelConfig</span>
<span class="kn">from</span> <span class="nn">.runtime.model_runner</span> <span class="kn">import</span> <span class="n">_engine_config_to_model_config</span>
<span class="k">def</span> <span class="nf">has_event_loop</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">asyncio</span><span class="o">.</span><span class="n">get_running_loop</span><span class="p">()</span>
<span class="k">except</span> <span class="ne">RuntimeError</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span>
<span class="k">return</span> <span class="kc">True</span>
<span class="k">if</span> <span class="n">enable_llm_debug</span><span class="p">():</span>
<span class="n">print_colored</span><span class="p">(</span><span class="s2">&quot;LLM debug mode enabled.&quot;</span><span class="p">,</span> <span class="s2">&quot;yellow&quot;</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">faulthandler</span>
<span class="kn">import</span> <span class="nn">signal</span>
<span class="n">faulthandler</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="n">signal</span><span class="o">.</span><span class="n">SIGINT</span><span class="p">,</span> <span class="n">all_threads</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="nd">@dataclass</span><span class="p">(</span><span class="n">slots</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">LoRARequest</span><span class="p">:</span>
<span class="n">lora_name</span><span class="p">:</span> <span class="nb">str</span>
<span class="n">lora_int_id</span><span class="p">:</span> <span class="nb">int</span>
<span class="n">lora_path</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
<span class="k">def</span> <span class="nf">__post_init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">lora_path</span><span class="p">,</span> <span class="s2">&quot;lora_path cannot be empty&quot;</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">adapter_id</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lora_int_id</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">name</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lora_name</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">path</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">lora_path</span>
<span class="k">class</span> <span class="nc">GenerationRequest</span><span class="p">:</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">prompt_token_ids</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="nb">list</span><span class="p">],</span>
<span class="n">sampling_params</span><span class="p">:</span> <span class="n">SamplingParams</span><span class="p">,</span>
<span class="n">lora_request</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">LoRARequest</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">streaming</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prompt_token_ids</span> <span class="o">=</span> <span class="n">prompt_token_ids</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">,</span> <span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prompt_token_ids</span> <span class="o">=</span> <span class="n">prompt_token_ids</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">&quot;prompt_token_ids (</span><span class="si">{</span><span class="n">prompt_token_ids</span><span class="si">}</span><span class="s2">) should be an instance of torch.Tensor, np.ndarray or list&quot;</span>
<span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">sampling_params</span> <span class="o">=</span> <span class="n">sampling_params</span>
<span class="bp">self</span><span class="o">.</span><span class="n">lora_request</span> <span class="o">=</span> <span class="n">lora_request</span>
<span class="bp">self</span><span class="o">.</span><span class="n">streaming</span> <span class="o">=</span> <span class="n">streaming</span>
<span class="bp">self</span><span class="o">.</span><span class="n">id</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
<span class="k">def</span> <span class="nf">set_id</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">id</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">id</span> <span class="o">=</span> <span class="nb">id</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="nd">@dataclass</span><span class="p">(</span><span class="n">slots</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">CompletionOutput</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;The output data of one completion output of a request.</span>
<span class="sd"> Args:</span>
<span class="sd"> index (int): The index of the output in the request.</span>
<span class="sd"> text (str): The generated output text.</span>
<span class="sd"> token_ids (List[int]): The token ids of the generated output text.</span>
<span class="sd"> cumulative_logprob (float): The cumulative log probability of the generated output text.</span>
<span class="sd"> logprobs (List[float]): The log probabilities of the top probability words at each position if the logprobs are requested.</span>
<span class="sd"> finish_reason (Literal[&#39;stop&#39;, &#39;length&#39;]): The reason why the sequence is finished.</span>
<span class="sd"> stop_reason (Union[int, str]): The stop string or token id that caused the completion to stop, None if the completion finished for some other reason.</span>
<span class="sd"> generation_logits (torch.Tensor): The logits on the generated output token ids.</span>
<span class="sd"> length (int): The number of generated tokens.</span>
<span class="sd"> token_ids_diff (List[int]): Newly generated token ids.</span>
<span class="sd"> logprobs_diff (List[float]): Logprobs of newly generated tokens.</span>
<span class="sd"> text_diff (str): Newly generated tokens.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">index</span><span class="p">:</span> <span class="nb">int</span>
<span class="n">text</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;&quot;</span>
<span class="n">token_ids</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default_factory</span><span class="o">=</span><span class="nb">list</span><span class="p">)</span>
<span class="n">cumulative_logprob</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">logprobs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default_factory</span><span class="o">=</span><span class="nb">list</span><span class="p">)</span>
<span class="n">finish_reason</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Literal</span><span class="p">[</span><span class="s1">&#39;stop&#39;</span><span class="p">,</span> <span class="s1">&#39;length&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">stop_reason</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">generation_logits</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">_last_text</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default</span><span class="o">=</span><span class="s2">&quot;&quot;</span><span class="p">,</span> <span class="n">init</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="nb">repr</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">_last_logprobs_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">init</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="nb">repr</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">_last_token_ids_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">init</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="nb">repr</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">length</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">token_ids</span><span class="p">)</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">token_ids_diff</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]:</span>
<span class="n">diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">token_ids</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_token_ids_len</span><span class="p">:]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_last_token_ids_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">token_ids</span><span class="p">)</span>
<span class="k">return</span> <span class="n">diff</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">logprobs_diff</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]:</span>
<span class="n">diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">logprobs</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_logprobs_len</span><span class="p">:]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_last_logprobs_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">logprobs</span><span class="p">)</span>
<span class="k">return</span> <span class="n">diff</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">text_diff</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
<span class="n">diff</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_last_text</span><span class="p">):]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_last_text</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span>
<span class="k">return</span> <span class="n">diff</span>
<span class="k">class</span> <span class="nc">_SyncQueue</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
<span class="sd"> A simplified Queue that provides a `get` method that is compatible with the asyncio event loop.</span>
<span class="sd"> &#39;&#39;&#39;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">,</span>
<span class="n">event</span><span class="p">:</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">Event</span><span class="p">,</span>
<span class="n">loop</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">asyncio</span><span class="o">.</span><span class="n">AbstractEventLoop</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_q</span> <span class="o">=</span> <span class="n">queue</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_event</span> <span class="o">=</span> <span class="n">event</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_loop</span> <span class="o">=</span> <span class="n">loop</span> <span class="ow">or</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">get_event_loop</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">put</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">item</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">_set_event</span><span class="p">(</span><span class="n">event</span><span class="p">):</span>
<span class="n">event</span><span class="o">.</span><span class="n">set</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="o">.</span><span class="n">put_nowait</span><span class="p">(</span><span class="n">item</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_loop</span><span class="o">.</span><span class="n">is_running</span><span class="p">():</span>
<span class="n">asyncio</span><span class="o">.</span><span class="n">run_coroutine_threadsafe</span><span class="p">(</span><span class="n">_set_event</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_event</span><span class="p">),</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_loop</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">AsyncQueue</span><span class="o">.</span><span class="n">EventLoopShutdownError</span>
<span class="k">def</span> <span class="nf">full</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="o">.</span><span class="n">full</span><span class="p">()</span>
<span class="k">class</span> <span class="nc">_AsyncQueue</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
<span class="sd"> A simplified asyncio.Queue that provides a `get` method that is compatible with the standard library Queue.</span>
<span class="sd"> &#39;&#39;&#39;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queue</span><span class="p">:</span> <span class="n">Queue</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_event</span> <span class="o">=</span> <span class="n">asyncio</span><span class="o">.</span><span class="n">Event</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_q</span> <span class="o">=</span> <span class="n">queue</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">get</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">await</span> <span class="bp">self</span><span class="o">.</span><span class="n">_event</span><span class="o">.</span><span class="n">wait</span><span class="p">()</span>
<span class="n">res</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="o">.</span><span class="n">empty</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_event</span><span class="o">.</span><span class="n">clear</span><span class="p">()</span>
<span class="k">return</span> <span class="n">res</span>
<span class="k">class</span> <span class="nc">AsyncQueue</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
<span class="sd"> AsyncQueue is container containing `async_q` for `async get` and `sync_q` for sync `get`.</span>
<span class="sd"> This is used to provide a compatible interface for janus.Queue.</span>
<span class="sd"> &#39;&#39;&#39;</span>
<span class="k">class</span> <span class="nc">EventLoopShutdownError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_q</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">async_q</span> <span class="o">=</span> <span class="n">_AsyncQueue</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">sync_q</span> <span class="o">=</span> <span class="n">_SyncQueue</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_q</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">async_q</span><span class="o">.</span><span class="n">_event</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">CppExecutorError</span><span class="p">(</span><span class="ne">RuntimeError</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">message</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">message</span> <span class="o">=</span> <span class="n">message</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stack_trace</span> <span class="o">=</span> <span class="n">traceback</span><span class="o">.</span><span class="n">format_exc</span><span class="p">()</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">message</span><span class="p">)</span>
<span class="k">def</span> <span class="fm">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">message</span><span class="si">}</span><span class="se">\n</span><span class="s2">Stack trace:</span><span class="se">\n</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">stack_trace</span><span class="si">}</span><span class="s2">&quot;</span>
<div class="viewcode-block" id="RequestError">
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.hlapi.RequestError">[docs]</a>
<span class="k">class</span> <span class="nc">RequestError</span><span class="p">(</span><span class="ne">RuntimeError</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39; The error raised when the request is failed. &#39;&#39;&#39;</span></div>
<span class="k">class</span> <span class="nc">GenerationResult</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39;</span>
<span class="sd"> The result of a generation request. It can be used to wait for the completion of the request.</span>
<span class="sd"> Args:</span>
<span class="sd"> generation_request (GenerationRequest): The generation request object.</span>
<span class="sd"> background_error_handler (Optional[callable]): The error handler to process the errors from the background threads/processes.</span>
<span class="sd"> &#39;&#39;&#39;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">generation_request</span><span class="p">:</span> <span class="n">GenerationRequest</span><span class="p">,</span>
<span class="n">background_error_handler</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">callable</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_done</span> <span class="o">=</span> <span class="kc">False</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_cancelled</span> <span class="o">=</span> <span class="kc">False</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span> <span class="o">=</span> <span class="n">generation_request</span>
<span class="k">if</span> <span class="n">has_event_loop</span><span class="p">():</span>
<span class="n">aqueue</span> <span class="o">=</span> <span class="n">AsyncQueue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">queue</span> <span class="o">=</span> <span class="n">aqueue</span><span class="o">.</span><span class="n">sync_q</span>
<span class="bp">self</span><span class="o">.</span><span class="n">aqueue</span> <span class="o">=</span> <span class="n">aqueue</span><span class="o">.</span><span class="n">async_q</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">aqueue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">CompletionOutput</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span>
<span class="n">CompletionOutput</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">beam_width</span><span class="p">)</span>
<span class="p">]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">context_logits</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_background_error_handler</span> <span class="o">=</span> <span class="n">background_error_handler</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">request_id</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span><span class="o">.</span><span class="n">id</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">prompt_token_ids</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span><span class="o">.</span><span class="n">prompt_token_ids</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">finished</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">streaming</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span><span class="o">.</span><span class="n">streaming</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">beam_width</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">beam_width</span>
<span class="k">def</span> <span class="nf">handle_response</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">response</span><span class="p">:</span> <span class="s2">&quot;GenerationExecutor.Response&quot;</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_done</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">is_final</span>
<span class="k">if</span> <span class="n">response</span><span class="o">.</span><span class="n">error</span><span class="p">:</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">response</span><span class="o">.</span><span class="n">error</span><span class="p">,</span> <span class="nb">str</span><span class="p">)</span>
<span class="k">raise</span> <span class="n">RequestError</span><span class="p">(</span><span class="n">response</span><span class="o">.</span><span class="n">error</span><span class="p">)</span>
<span class="n">tensors</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">tensors</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">beam_ids</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">tensors</span><span class="o">.</span><span class="n">output_token_ids</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">token_ids</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">beam_ids</span><span class="p">)</span>
<span class="k">if</span> <span class="n">tensors</span><span class="o">.</span><span class="n">cum_log_probs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">cumulative_logprob</span> <span class="o">=</span> <span class="n">tensors</span><span class="o">.</span><span class="n">cum_log_probs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">if</span> <span class="n">tensors</span><span class="o">.</span><span class="n">log_probs</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">logprobs</span> <span class="o">=</span> <span class="n">tensors</span><span class="o">.</span><span class="n">log_probs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">assert</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">logprobs</span><span class="p">)</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">length</span>
<span class="k">if</span> <span class="n">tensors</span><span class="o">.</span><span class="n">generation_logits</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">generation_logits</span> <span class="o">=</span> <span class="n">tensors</span><span class="o">.</span><span class="n">generation_logits</span><span class="p">[</span>
<span class="n">i</span><span class="p">,</span> <span class="p">:</span><span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="o">.</span><span class="n">length</span><span class="p">]</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">finished</span><span class="p">:</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">beam_output</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">outputs</span><span class="p">):</span>
<span class="k">if</span> <span class="n">response</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">tllm</span><span class="o">.</span><span class="n">FinishReason</span><span class="o">.</span><span class="n">END_ID</span><span class="p">:</span>
<span class="n">beam_output</span><span class="o">.</span><span class="n">finish_reason</span> <span class="o">=</span> <span class="s1">&#39;stop&#39;</span>
<span class="k">elif</span> <span class="n">response</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">tllm</span><span class="o">.</span><span class="n">FinishReason</span><span class="o">.</span><span class="n">STOP_WORDS</span><span class="p">:</span>
<span class="n">beam_output</span><span class="o">.</span><span class="n">finish_reason</span> <span class="o">=</span> <span class="s1">&#39;stop&#39;</span>
<span class="n">sampling_params</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_generation_request</span><span class="o">.</span><span class="n">sampling_params</span>
<span class="k">for</span> <span class="n">stop_reason</span><span class="p">,</span> <span class="n">stop_ids</span> <span class="ow">in</span> <span class="n">sampling_params</span><span class="o">.</span><span class="n">_get_stop_reasons_and_words</span><span class="p">(</span>
<span class="p">):</span>
<span class="k">if</span> <span class="n">beam_output</span><span class="o">.</span><span class="n">token_ids</span><span class="p">[</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span><span class="n">stop_ids</span><span class="p">):]</span> <span class="o">==</span> <span class="n">stop_ids</span><span class="p">:</span>
<span class="n">beam_output</span><span class="o">.</span><span class="n">stop_reason</span> <span class="o">=</span> <span class="n">stop_reason</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">sampling_params</span><span class="o">.</span><span class="n">include_stop_str_in_output</span><span class="p">:</span>
<span class="n">beam_output</span><span class="o">.</span><span class="n">token_ids</span> <span class="o">=</span> <span class="n">beam_output</span><span class="o">.</span><span class="n">token_ids</span><span class="p">[:</span><span class="o">-</span><span class="nb">len</span><span class="p">(</span>
<span class="n">stop_ids</span><span class="p">)]</span>
<span class="k">break</span>
<span class="k">elif</span> <span class="n">response</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">==</span> <span class="n">tllm</span><span class="o">.</span><span class="n">FinishReason</span><span class="o">.</span><span class="n">LENGTH</span><span class="p">:</span>
<span class="n">beam_output</span><span class="o">.</span><span class="n">finish_reason</span> <span class="o">=</span> <span class="s1">&#39;length&#39;</span>
<span class="k">if</span> <span class="n">tensors</span><span class="o">.</span><span class="n">context_logits</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">context_logits</span> <span class="o">=</span> <span class="n">tensors</span><span class="o">.</span><span class="n">context_logits</span>
<span class="c1"># Processing background errors here ASAF during generation.</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_background_error_handler</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_background_error_handler</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">result_step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">timeout</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="n">response</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">timeout</span><span class="o">=</span><span class="n">timeout</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">handle_response</span><span class="p">(</span><span class="n">response</span><span class="p">)</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">aresult_step</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">aqueue</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">&quot;The asyncio event loop was not present during initialization, so async operations are not available.&quot;</span>
<span class="n">response</span> <span class="o">=</span> <span class="k">await</span> <span class="bp">self</span><span class="o">.</span><span class="n">aqueue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">handle_response</span><span class="p">(</span><span class="n">response</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">result</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">timeout</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;GenerationResult&quot;</span><span class="p">:</span>
<span class="k">while</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_step</span><span class="p">(</span><span class="n">timeout</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">aresult</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="s2">&quot;GenerationResult&quot;</span><span class="p">:</span>
<span class="k">while</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span><span class="p">:</span>
<span class="k">await</span> <span class="bp">self</span><span class="o">.</span><span class="n">aresult_step</span><span class="p">()</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__await__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">aresult</span><span class="p">()</span><span class="o">.</span><span class="fm">__await__</span><span class="p">()</span>
<span class="k">def</span> <span class="fm">__iter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__next__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">StopIteration</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_step</span><span class="p">()</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__aiter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">async</span> <span class="k">def</span> <span class="fm">__anext__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">StopAsyncIteration</span>
<span class="k">await</span> <span class="bp">self</span><span class="o">.</span><span class="n">aresult_step</span><span class="p">()</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="nf">running</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span>
<span class="k">def</span> <span class="nf">cancelled</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_cancelled</span>
<span class="k">def</span> <span class="nf">cancel</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">NotImplementedError</span>
<span class="k">def</span> <span class="nf">done</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_done</span>
<span class="k">def</span> <span class="nf">exception</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">timeout</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">):</span>
<span class="k">try</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result</span><span class="p">(</span><span class="n">timeout</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">RuntimeError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">return</span> <span class="n">e</span>
<span class="k">def</span> <span class="nf">_repr_fields</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="p">[</span>
<span class="s1">&#39;request_id&#39;</span><span class="p">,</span> <span class="s1">&#39;prompt_token_ids&#39;</span><span class="p">,</span> <span class="s1">&#39;outputs&#39;</span><span class="p">,</span> <span class="s1">&#39;finished&#39;</span><span class="p">,</span>
<span class="s2">&quot;context_logits&quot;</span>
<span class="p">]</span>
<span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
<span class="nb">repr</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">field</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_repr_fields</span><span class="p">():</span>
<span class="n">value</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">field</span><span class="p">)</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">value</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="nb">repr</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">field</span><span class="si">}</span><span class="s2">=</span><span class="si">{</span><span class="n">value</span><span class="si">!r}</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="nb">repr</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">field</span><span class="si">}</span><span class="s2">=</span><span class="si">{</span><span class="n">value</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="nb">repr</span> <span class="o">=</span> <span class="s2">&quot;, &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">repr</span><span class="p">)</span>
<span class="nb">repr</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="o">.</span><span class="vm">__name__</span><span class="si">}</span><span class="s2">(</span><span class="si">{</span><span class="nb">repr</span><span class="si">}</span><span class="s2">)&quot;</span>
<span class="k">return</span> <span class="nb">repr</span>
<span class="k">def</span> <span class="fm">__hash__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="nb">hash</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">request_id</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">GenerationExecutor</span><span class="p">(</span><span class="n">ABC</span><span class="p">):</span>
<span class="n">PENDING_REQ_ID_TIMEOUT</span> <span class="o">=</span> <span class="mi">2</span> <span class="c1"># second</span>
<span class="k">class</span> <span class="nc">ResponseTensors</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
<span class="n">output_token_ids</span><span class="p">:</span> <span class="nb">list</span>
<span class="c1"># context_logits is a tensor or a string denoting the path to the shared memory.</span>
<span class="n">context_logits</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span> <span class="o">|</span> <span class="nb">str</span><span class="p">]</span>
<span class="c1"># generation_logits is a tensor or a string denoting the path to the shared memory.</span>
<span class="n">generation_logits</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span> <span class="o">|</span> <span class="nb">str</span><span class="p">]</span>
<span class="n">log_probs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">list</span><span class="p">]</span>
<span class="n">cum_log_probs</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">list</span><span class="p">]</span>
<span class="k">class</span> <span class="nc">Response</span><span class="p">(</span><span class="n">NamedTuple</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot; The response from the cpp-executor to the Python main thread. &quot;&quot;&quot;</span>
<span class="n">request_id</span><span class="p">:</span> <span class="nb">int</span>
<span class="n">tensors</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="s2">&quot;GenerationExecutor.ResponseTensors&quot;</span><span class="p">]</span>
<span class="n">finish_reasons</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">tllm</span><span class="o">.</span><span class="n">FinishReason</span><span class="p">]]</span>
<span class="n">is_final</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span>
<span class="c1"># error is either str from cpp-executor or a Exception from Python threads/processes</span>
<span class="n">error</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span> <span class="o">|</span> <span class="ne">Exception</span><span class="p">]</span>
<span class="nd">@dataclass</span><span class="p">(</span><span class="n">slots</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">PendingResponse</span><span class="p">:</span>
<span class="n">response</span><span class="p">:</span> <span class="s2">&quot;GenerationExecutor.Response&quot;</span>
<span class="n">start_time</span><span class="p">:</span> <span class="nb">float</span> <span class="c1"># this is used to track the latency before the response is dispatched.</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">atexit</span><span class="o">.</span><span class="n">register</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">)</span>
<span class="c1"># This is used to capture the exceptions from the threads.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
<span class="c1"># mapping of pending request_id -&gt; response</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span>
<span class="nb">int</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">PendingResponse</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="c1"># A flag to avoid calling shutdown() recursively. This happens when the background threads raise errors.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">doing_shutdown</span> <span class="o">=</span> <span class="kc">False</span>
<span class="nd">@abstractmethod</span>
<span class="k">def</span> <span class="nf">submit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">request</span><span class="p">:</span> <span class="n">GenerationRequest</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationResult</span><span class="p">:</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">generate_async</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">prompt_token_ids</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span>
<span class="n">sampling_params</span><span class="p">:</span> <span class="n">SamplingParams</span><span class="p">,</span>
<span class="n">lora_request</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">LoRARequest</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">streaming</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationResult</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate output for the given prompt token ids in the asynchronous mode.</span>
<span class="sd"> Asynchronous generation accepts single prompt only.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">int</span><span class="p">)</span>
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">sampling_params</span><span class="p">,</span> <span class="n">SamplingParams</span><span class="p">)</span>
<span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
<span class="n">GenerationRequest</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">,</span>
<span class="n">sampling_params</span><span class="o">=</span><span class="n">sampling_params</span><span class="p">,</span>
<span class="n">lora_request</span><span class="o">=</span><span class="n">lora_request</span><span class="p">,</span>
<span class="n">streaming</span><span class="o">=</span><span class="n">streaming</span><span class="p">))</span>
<span class="k">return</span> <span class="n">result</span>
<span class="k">def</span> <span class="nf">generate</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">prompt_token_ids</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]]],</span>
<span class="n">sampling_params</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">SamplingParams</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">SamplingParams</span><span class="p">]],</span>
<span class="n">lora_request</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">LoRARequest</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">LoRARequest</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">GenerationResult</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">GenerationResult</span><span class="p">]]:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Generate output for the given prompt token ids in the synchronous mode.</span>
<span class="sd"> Synchronous generation accepts either single prompt or batched prompts.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">unbatched</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">int</span><span class="p">)</span>
<span class="k">if</span> <span class="n">unbatched</span><span class="p">:</span>
<span class="n">prompt_token_ids</span> <span class="o">=</span> <span class="p">[</span><span class="n">prompt_token_ids</span><span class="p">]</span>
<span class="n">futures</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">p</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">prompt_token_ids</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">sampling_params</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="n">sp</span> <span class="o">=</span> <span class="n">sampling_params</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">sp</span> <span class="o">=</span> <span class="n">sampling_params</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">lora_request</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="n">lora_req</span> <span class="o">=</span> <span class="n">lora_request</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">lora_req</span> <span class="o">=</span> <span class="n">lora_request</span>
<span class="n">future</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">generate_async</span><span class="p">(</span><span class="n">p</span><span class="p">,</span>
<span class="n">sampling_params</span><span class="o">=</span><span class="n">sp</span><span class="p">,</span>
<span class="n">lora_request</span><span class="o">=</span><span class="n">lora_req</span><span class="p">,</span>
<span class="n">streaming</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">futures</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">future</span><span class="p">)</span>
<span class="k">for</span> <span class="n">future</span> <span class="ow">in</span> <span class="n">futures</span><span class="p">:</span>
<span class="n">future</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
<span class="k">if</span> <span class="n">unbatched</span><span class="p">:</span>
<span class="n">futures</span> <span class="o">=</span> <span class="n">futures</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">return</span> <span class="n">futures</span>
<span class="k">def</span> <span class="nf">_handle_background_error</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot; Process the errors from the threads or processes.</span>
<span class="sd"> NOTE: This should be called in the main thread.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="c1"># Here we raise the first error in the queue. This method will be called repeatedly and user can choose to catch</span>
<span class="c1"># more than one error.</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="o">.</span><span class="n">empty</span><span class="p">():</span>
<span class="n">e</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="o">.</span><span class="n">task_done</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="c1"># We can catch some exceptions here.</span>
<span class="k">raise</span> <span class="n">e</span>
<span class="k">def</span> <span class="nf">_to_delay_response</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">response</span><span class="p">:</span> <span class="s2">&quot;GenerationExecutor.Response&quot;</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39; the engine.enqueue_request may not be finished in another thread, so we need to postpone it. &#39;&#39;&#39;</span>
<span class="n">req_id</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">request_id</span>
<span class="k">if</span> <span class="n">req_id</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="n">req_id</span><span class="p">,</span> <span class="p">[])</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">PendingResponse</span><span class="p">(</span><span class="n">response</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">()))</span>
<span class="k">if</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">()</span> <span class="o">-</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="p">[</span><span class="n">req_id</span><span class="p">][</span>
<span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">start_time</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">PENDING_REQ_ID_TIMEOUT</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TimeoutError</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">&quot;Request ID </span><span class="si">{</span><span class="n">req_id</span><span class="si">}</span><span class="s2"> not found in the results queue.&quot;</span><span class="p">)</span>
<span class="k">return</span> <span class="kc">True</span>
<span class="k">return</span> <span class="kc">False</span>
<span class="k">def</span> <span class="nf">_cleanup_pending_responses</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">nowait</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39; Process the pending responses that are not found in the results. &#39;&#39;&#39;</span>
<span class="k">def</span> <span class="nf">cleanup</span><span class="p">():</span>
<span class="n">done_req_ids</span> <span class="o">=</span> <span class="nb">set</span><span class="p">()</span>
<span class="k">for</span> <span class="n">req_id</span><span class="p">,</span> <span class="n">responses</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="k">if</span> <span class="n">req_id</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span>
<span class="k">if</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">(</span>
<span class="p">)</span> <span class="o">-</span> <span class="n">responses</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">start_time</span> <span class="o">&gt;</span> <span class="bp">self</span><span class="o">.</span><span class="n">PENDING_REQ_ID_TIMEOUT</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TimeoutError</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">&quot;Request ID </span><span class="si">{</span><span class="n">req_id</span><span class="si">}</span><span class="s2"> not found in the results queue.&quot;</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">for</span> <span class="n">response</span> <span class="ow">in</span> <span class="n">responses</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">[</span><span class="n">req_id</span><span class="p">]</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span>
<span class="n">response</span><span class="o">.</span><span class="n">response</span><span class="p">)</span> <span class="c1"># dispatch</span>
<span class="n">done_req_ids</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">req_id</span><span class="p">)</span>
<span class="k">for</span> <span class="n">req_id</span> <span class="ow">in</span> <span class="n">done_req_ids</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">req_id</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
<span class="k">return</span> <span class="ow">not</span> <span class="nb">bool</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="p">)</span>
<span class="k">if</span> <span class="n">nowait</span><span class="p">:</span>
<span class="n">cleanup</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="c1"># It is possible that some requests are still pending in the workers, we need to process them before shutdown</span>
<span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">PENDING_REQ_ID_TIMEOUT</span> <span class="o">/</span> <span class="mf">0.1</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
<span class="k">if</span> <span class="n">cleanup</span><span class="p">():</span> <span class="k">break</span>
<span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mf">0.1</span><span class="p">)</span>
<span class="c1"># It will raise TimeoutError if the pending responses are not processed in time.</span>
<span class="k">return</span> <span class="ow">not</span> <span class="nb">bool</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="p">)</span>
<span class="nd">@abstractmethod</span>
<span class="k">def</span> <span class="nf">shutdown</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">create_stats_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Stats queue is created during first submission to ensure event loop exists if it is needed.</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="p">:</span>
<span class="k">if</span> <span class="n">has_event_loop</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="n">AsyncQueue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="o">.</span><span class="n">sync_q</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="o">.</span><span class="n">async_q</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">def</span> <span class="nf">get_stats</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">async</span> <span class="k">def</span> <span class="nf">aget_stats</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">&quot;The asyncio event loop was not present during initialization, so async operations are not available.&quot;</span>
<span class="k">return</span> <span class="k">await</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">create</span><span class="p">(</span>
<span class="n">engine</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Path</span><span class="p">,</span> <span class="n">Engine</span><span class="p">],</span>
<span class="n">executor_config</span><span class="p">:</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span>
<span class="n">model_world_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">world_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
<span class="n">mpi_session</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">MpiSession</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="n">reuse_mpi_comm</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="s2">&quot;ExecutorBindingsProxy&quot;</span><span class="p">,</span> <span class="s2">&quot;ExecutorBindingsWorker&quot;</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">world_size</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">world_size</span> <span class="o">=</span> <span class="n">mpi_world_size</span><span class="p">()</span>
<span class="k">if</span> <span class="n">world_size</span> <span class="o">&gt;</span> <span class="mi">1</span> <span class="ow">and</span> <span class="n">world_size</span> <span class="o">&lt;</span> <span class="n">model_world_size</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
<span class="s2">&quot;Cannot instantiate Generator for engine built &quot;</span>
<span class="sa">f</span><span class="s2">&quot;for </span><span class="si">{</span><span class="n">model_world_size</span><span class="si">}</span><span class="s2"> ranks, while currently running &quot;</span>
<span class="sa">f</span><span class="s2">&quot;on </span><span class="si">{</span><span class="n">world_size</span><span class="si">}</span><span class="s2"> ranks.&quot;</span><span class="p">)</span>
<span class="n">worker_kwargs</span> <span class="o">=</span> <span class="p">{</span>
<span class="s2">&quot;engine&quot;</span><span class="p">:</span> <span class="n">engine</span><span class="p">,</span>
<span class="s2">&quot;executor_config&quot;</span><span class="p">:</span> <span class="n">executor_config</span><span class="p">,</span>
<span class="p">}</span>
<span class="c1"># The case where the Python main process is launched by mpirun</span>
<span class="n">mpirun_launch</span> <span class="o">=</span> <span class="n">external_mpi_comm_available</span><span class="p">(</span><span class="n">model_world_size</span><span class="p">)</span>
<span class="c1"># The case where the Python main process utilizes mpi4py to spawn MPI workers</span>
<span class="n">spawn_workers</span> <span class="o">=</span> <span class="n">need_spawn_mpi_workers</span><span class="p">(</span><span class="n">model_world_size</span><span class="p">)</span>
<span class="k">if</span> <span class="n">spawn_workers</span> <span class="ow">or</span> <span class="p">(</span><span class="n">mpirun_launch</span> <span class="ow">and</span> <span class="n">reuse_mpi_comm</span><span class="p">):</span>
<span class="k">if</span> <span class="n">reuse_mpi_comm</span><span class="p">:</span>
<span class="k">assert</span> <span class="n">mpi_session</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">&quot;reuse_mpi_comm requires an external MPI session&quot;</span>
<span class="k">return</span> <span class="n">ExecutorBindingsProxy</span><span class="p">(</span><span class="n">worker_kwargs</span><span class="p">,</span>
<span class="n">model_world_size</span><span class="o">=</span><span class="n">model_world_size</span><span class="p">,</span>
<span class="n">mpi_session</span><span class="o">=</span><span class="n">mpi_session</span><span class="p">)</span>
<span class="k">return</span> <span class="n">ExecutorBindingsWorker</span><span class="p">(</span><span class="o">**</span><span class="n">worker_kwargs</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">ExecutorBindingsWorker</span><span class="p">(</span><span class="n">GenerationExecutor</span><span class="p">):</span>
<span class="k">class</span> <span class="nc">WorkerExit</span><span class="p">(</span><span class="ne">GeneratorExit</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">engine</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Path</span><span class="p">,</span> <span class="n">Engine</span><span class="p">],</span>
<span class="n">executor_config</span><span class="p">:</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rank</span> <span class="o">=</span> <span class="n">mpi_rank</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">GenerationResult</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="n">engine</span> <span class="o">=</span> <span class="n">engine</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">rank</span><span class="p">]</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span> <span class="n">Engine</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">Executor</span><span class="p">(</span><span class="n">engine</span><span class="o">.</span><span class="n">engine</span><span class="p">,</span>
<span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">engine</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">(),</span>
<span class="bp">cls</span><span class="o">=</span><span class="n">ConfigEncoder</span><span class="p">),</span>
<span class="n">tllm</span><span class="o">.</span><span class="n">ModelType</span><span class="o">.</span><span class="n">DECODER_ONLY</span><span class="p">,</span>
<span class="n">executor_config</span><span class="o">=</span><span class="n">executor_config</span><span class="p">,</span>
<span class="n">managed_weights</span><span class="o">=</span><span class="n">engine</span><span class="o">.</span><span class="n">managed_weights</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">Executor</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span>
<span class="n">tllm</span><span class="o">.</span><span class="n">ModelType</span><span class="o">.</span><span class="n">DECODER_ONLY</span><span class="p">,</span>
<span class="n">executor_config</span><span class="o">=</span><span class="n">executor_config</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">LoraManager</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_runtime_model_config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">ModelConfig</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span> <span class="n">Engine</span><span class="p">):</span>
<span class="n">engine_config</span> <span class="o">=</span> <span class="n">engine</span><span class="o">.</span><span class="n">config</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">engine_config</span> <span class="o">=</span> <span class="n">EngineConfig</span><span class="o">.</span><span class="n">from_json_file</span><span class="p">(</span>
<span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">engine</span><span class="si">}</span><span class="s2">/config.json&quot;</span><span class="p">)</span>
<span class="k">if</span> <span class="n">engine_config</span><span class="o">.</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">lora_plugin</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_runtime_model_config</span> <span class="o">=</span> <span class="n">_engine_config_to_model_config</span><span class="p">(</span>
<span class="n">engine_config</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span> <span class="o">=</span> <span class="n">LoraManager</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span> <span class="o">=</span> <span class="n">ManagedThread</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">await_response_task</span><span class="p">,</span>
<span class="n">error_queue</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">&quot;await_response_thread&quot;</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span> <span class="o">=</span> <span class="n">ManagedThread</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_task</span><span class="p">,</span>
<span class="n">error_queue</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">&quot;dispatch_stats_thread&quot;</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">create_stats_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Stats queue is created during first submission to ensure event loop exists if it is needed.</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="p">:</span>
<span class="k">if</span> <span class="n">has_event_loop</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="n">AsyncQueue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="o">.</span><span class="n">sync_q</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span><span class="o">.</span><span class="n">async_q</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="n">Queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">def</span> <span class="nf">set_result_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queue</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;In multi-gpu mode, result_queue will be set here to communicate between the proxy and the worker 0 process.&quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="o">=</span> <span class="n">queue</span>
<span class="k">def</span> <span class="nf">set_stats_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">queue</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;In multi-gpu mode, stats_queue will be set here to communicate between the proxy and the worker 0 process.&quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_stats</span> <span class="o">=</span> <span class="n">queue</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_stats</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_aqueue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">def</span> <span class="nf">return_queue</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">req_id</span><span class="p">:</span> <span class="nb">int</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot; If a centralized result queue is registered (used for communication with the proxy)</span>
<span class="sd"> send the message there.</span>
<span class="sd"> Otherwise, push the result directly in the GenerationResult queue.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">[</span><span class="n">req_id</span><span class="p">]</span><span class="o">.</span><span class="n">queue</span>
<span class="k">def</span> <span class="nf">start_awaiter_thread</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">can_enqueue_requests</span><span class="p">(</span>
<span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">start_stats_thread</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">can_enqueue_requests</span><span class="p">(</span>
<span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">_engine_response_callback</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">response</span><span class="p">:</span> <span class="n">tllm</span><span class="o">.</span><span class="n">Response</span><span class="p">):</span>
<span class="k">return</span> <span class="n">response</span>
<span class="k">def</span> <span class="nf">await_response_task</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="c1"># Get responses and place in queue.</span>
<span class="k">for</span> <span class="n">response</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">await_responses</span><span class="p">(</span><span class="n">timeout</span><span class="o">=</span><span class="n">datetime</span><span class="o">.</span><span class="n">timedelta</span><span class="p">(</span>
<span class="n">milliseconds</span><span class="o">=</span><span class="mi">100</span><span class="p">)):</span>
<span class="n">response</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_engine_response_callback</span><span class="p">(</span><span class="n">response</span><span class="p">)</span>
<span class="n">req_id</span> <span class="o">=</span> <span class="n">response</span><span class="o">.</span><span class="n">request_id</span>
<span class="k">if</span> <span class="n">response</span><span class="o">.</span><span class="n">has_error</span><span class="p">():</span>
<span class="c1"># This error will be dispatched to the user&#39;s generate_async for the corresponding request. It won&#39;t</span>
<span class="c1"># stop the whole service.</span>
<span class="n">rsp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Response</span><span class="p">(</span>
<span class="n">req_id</span><span class="p">,</span>
<span class="n">tensors</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="c1"># Note: error Response only has one finish reason.</span>
<span class="c1"># Since the error will be raised in the main thread, so the finish reason is not actually used.</span>
<span class="n">finish_reasons</span><span class="o">=</span><span class="p">[</span><span class="n">tllm</span><span class="o">.</span><span class="n">FinishReason</span><span class="o">.</span><span class="n">NOT_FINISHED</span><span class="p">],</span>
<span class="n">is_final</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="n">error</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">error_msg</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">tensors</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ResponseTensors</span><span class="p">(</span>
<span class="n">output_token_ids</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">output_token_ids</span><span class="p">,</span>
<span class="n">context_logits</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">context_logits</span><span class="p">,</span>
<span class="n">generation_logits</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">generation_logits</span><span class="p">,</span>
<span class="n">log_probs</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">log_probs</span><span class="p">,</span>
<span class="n">cum_log_probs</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">cum_log_probs</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">rsp</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">Response</span><span class="p">(</span>
<span class="n">req_id</span><span class="p">,</span>
<span class="n">tensors</span><span class="p">,</span>
<span class="n">finish_reasons</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">,</span>
<span class="n">is_final</span><span class="o">=</span><span class="n">response</span><span class="o">.</span><span class="n">result</span><span class="o">.</span><span class="n">is_final</span><span class="p">,</span>
<span class="n">error</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_to_delay_response</span><span class="p">(</span><span class="n">rsp</span><span class="p">):</span>
<span class="k">continue</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_pending_responses</span><span class="p">(</span><span class="n">nowait</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">queue</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">return_queue</span><span class="p">(</span><span class="n">req_id</span><span class="p">)</span>
<span class="n">queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">rsp</span><span class="p">)</span>
<span class="k">if</span> <span class="n">rsp</span><span class="o">.</span><span class="n">is_final</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">req_id</span><span class="p">)</span>
<span class="k">return</span> <span class="kc">True</span> <span class="c1"># success</span>
<span class="k">def</span> <span class="nf">dispatch_stats_task</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mf">0.1</span><span class="p">)</span>
<span class="c1"># Get stats and place in queue.</span>
<span class="k">for</span> <span class="n">stats</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">get_latest_iteration_stats</span><span class="p">():</span>
<span class="k">while</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="p">,</span> <span class="s2">&quot;full&quot;</span><span class="p">)</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">full</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">try</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">stats</span><span class="o">.</span><span class="n">to_json_str</span><span class="p">())</span>
<span class="k">except</span> <span class="n">AsyncQueue</span><span class="o">.</span><span class="n">EventLoopShutdownError</span><span class="p">:</span>
<span class="c1"># This happens in the last stats loop while the generate workflow is stopped.</span>
<span class="k">pass</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">e</span>
<span class="k">return</span> <span class="kc">True</span> <span class="c1"># success</span>
<span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">create_stats_queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">start_awaiter_thread</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">start_stats_thread</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">_load_lora_adapter</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lora_request</span><span class="p">:</span> <span class="n">LoRARequest</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span><span class="o">.</span><span class="n">load_from_ckpt</span><span class="p">(</span>
<span class="p">[</span><span class="n">lora_request</span><span class="o">.</span><span class="n">lora_path</span><span class="p">],</span>
<span class="n">model_config</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_runtime_model_config</span><span class="p">,</span>
<span class="n">runtime_mapping</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">uids</span><span class="o">=</span><span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">lora_request</span><span class="o">.</span><span class="n">adapter_id</span><span class="p">)])</span>
<span class="k">def</span> <span class="nf">_enqueue_request</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">request</span><span class="p">:</span> <span class="n">GenerationRequest</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">request</span><span class="o">.</span><span class="n">lora_request</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_load_lora_adapter</span><span class="p">(</span><span class="n">request</span><span class="o">.</span><span class="n">lora_request</span><span class="p">)</span>
<span class="n">uid</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">request</span><span class="o">.</span><span class="n">lora_request</span><span class="o">.</span><span class="n">adapter_id</span><span class="p">)</span>
<span class="n">lora_config</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">LoraConfig</span><span class="p">(</span>
<span class="n">task_id</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">lora_request</span><span class="o">.</span><span class="n">adapter_id</span><span class="p">,</span>
<span class="n">weights</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span><span class="o">.</span><span class="n">cpp_lora_weights</span><span class="p">[</span><span class="n">uid</span><span class="p">],</span>
<span class="n">config</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_lora_manager</span><span class="o">.</span><span class="n">cpp_lora_config</span><span class="p">[</span><span class="n">uid</span><span class="p">])</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">lora_config</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">executor_request</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">Request</span><span class="p">(</span>
<span class="n">input_token_ids</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">prompt_token_ids</span><span class="p">,</span>
<span class="n">max_tokens</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">max_tokens</span><span class="p">,</span>
<span class="n">max_new_tokens</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">max_new_tokens</span><span class="p">,</span>
<span class="n">streaming</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">streaming</span><span class="p">,</span>
<span class="n">sampling_config</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">_get_sampling_config</span><span class="p">(),</span>
<span class="n">end_id</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">end_id</span><span class="p">,</span>
<span class="n">pad_id</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">pad_id</span><span class="p">,</span>
<span class="n">output_config</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">_get_output_config</span><span class="p">(),</span>
<span class="n">bad_words</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">_get_bad_words</span><span class="p">(),</span>
<span class="n">stop_words</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">_get_stop_words</span><span class="p">(),</span>
<span class="n">embedding_bias</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span><span class="n">embedding_bias</span><span class="p">,</span>
<span class="n">external_draft_tokens_config</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span>
<span class="n">external_draft_tokens_config</span><span class="p">,</span>
<span class="n">prompt_tuning_config</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span>
<span class="n">prompt_tuning_config</span><span class="p">,</span>
<span class="n">lora_config</span><span class="o">=</span><span class="n">lora_config</span><span class="p">,</span>
<span class="n">logits_post_processor_name</span><span class="o">=</span><span class="n">request</span><span class="o">.</span><span class="n">sampling_params</span><span class="o">.</span>
<span class="n">logits_post_processor_name</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">req_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">enqueue_request</span><span class="p">(</span><span class="n">executor_request</span><span class="p">)</span>
<span class="k">return</span> <span class="n">req_id</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">RequestError</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">submit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">request</span><span class="p">:</span> <span class="n">GenerationRequest</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationResult</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot; Low-level API to the executor. Return a &quot;future&quot; GenerationResult which can be waited. &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">rank</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
<span class="s2">&quot;Only rank 0 can submit requests.</span><span class="se">\n</span><span class="s2">&quot;</span>
<span class="s2">&quot;To fix this, ensure that the llm.generate(...) method is &quot;</span>
<span class="s2">&quot;guarded with the `if __name__ == &#39;__main__&#39;:` block.&quot;</span><span class="p">)</span>
<span class="n">req_id</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_enqueue_request</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
<span class="n">request</span><span class="o">.</span><span class="n">set_id</span><span class="p">(</span><span class="n">req_id</span><span class="p">)</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">GenerationResult</span><span class="p">(</span>
<span class="n">request</span><span class="p">,</span> <span class="n">background_error_handler</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">[</span><span class="n">req_id</span><span class="p">]</span> <span class="o">=</span> <span class="n">result</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">()</span>
<span class="k">return</span> <span class="n">result</span>
<span class="k">def</span> <span class="nf">shutdown</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="n">enable_llm_debug</span><span class="p">():</span>
<span class="n">print_colored</span><span class="p">(</span><span class="s1">&#39;Proxy.shutdown...</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s2">&quot;yellow&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">traceback</span><span class="o">.</span><span class="n">extract_stack</span><span class="p">())</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">doing_shutdown</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">doing_shutdown</span> <span class="o">=</span> <span class="kc">True</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">can_enqueue_requests</span><span class="p">():</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">await_response_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="kc">None</span>
<span class="c1"># Check if there are any errors from the threads before shutdown.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">block_subordinates</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">rank</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="k">raise</span> <span class="bp">self</span><span class="o">.</span><span class="n">WorkerExit</span><span class="p">(</span>
<span class="s2">&quot;block_subordinates() should be used in a `with ExecutorBindingsWorker() as ...:` block&quot;</span>
<span class="p">)</span>
<span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">traceback</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="k">return</span> <span class="n">exc_type</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="n">exc_type</span> <span class="o">==</span> <span class="n">ExecutorBindingsWorker</span><span class="o">.</span><span class="n">WorkerExit</span>
<span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">wait_first_completed</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">futures</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">GenerationResult</span><span class="p">]</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Generator</span><span class="p">[</span><span class="n">GenerationResult</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">]:</span>
<span class="n">wait_set</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">futures</span><span class="p">)</span>
<span class="c1"># clear already-finished requests</span>
<span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">futures</span><span class="p">:</span>
<span class="k">if</span> <span class="n">f</span><span class="o">.</span><span class="n">_done</span><span class="p">:</span>
<span class="n">wait_set</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
<span class="k">yield</span> <span class="n">f</span>
<span class="c1"># wait remaining active requests</span>
<span class="k">while</span> <span class="nb">len</span><span class="p">(</span><span class="n">wait_set</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">fut</span> <span class="o">=</span> <span class="n">wait_set</span><span class="o">.</span><span class="n">pop</span><span class="p">()</span>
<span class="k">if</span> <span class="n">fut</span><span class="o">.</span><span class="n">request_id</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span>
<span class="k">yield</span> <span class="n">fut</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">wait_set</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">fut</span><span class="p">)</span>
<span class="k">class</span> <span class="nc">IpcQueue</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&#39;&#39;&#39; A Queue-like container for IPC. &#39;&#39;&#39;</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">address</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="o">*</span><span class="p">,</span>
<span class="n">is_server</span><span class="p">:</span> <span class="nb">bool</span><span class="p">):</span>
<span class="c1"># NOTE: The port could be occupied by other processes if run in parallel.</span>
<span class="n">address</span> <span class="o">=</span> <span class="n">address</span> <span class="ow">or</span> <span class="p">(</span><span class="s1">&#39;localhost&#39;</span><span class="p">,</span> <span class="n">find_free_port</span><span class="p">(),</span>
<span class="n">secrets</span><span class="o">.</span><span class="n">token_bytes</span><span class="p">(</span><span class="mi">512</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">host_port</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">authkey</span> <span class="o">=</span> <span class="p">(</span><span class="n">address</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">address</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">address</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">is_server</span> <span class="o">=</span> <span class="n">is_server</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="o">=</span> <span class="kc">None</span>
<span class="bp">self</span><span class="o">.</span><span class="n">listener</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Listener</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">is_server</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">listener</span> <span class="o">=</span> <span class="n">Listener</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">host_port</span><span class="p">,</span>
<span class="s1">&#39;AF_INET&#39;</span><span class="p">,</span>
<span class="n">authkey</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">authkey</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">setup</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_server</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">listener</span><span class="o">.</span><span class="n">accept</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="o">=</span> <span class="n">Client</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">host_port</span><span class="p">,</span> <span class="n">authkey</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">authkey</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">put</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj</span><span class="p">:</span> <span class="n">Any</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">setup</span><span class="p">()</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">Response</span><span class="p">):</span>
<span class="n">tensors</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_store_tensors_in_shmm</span><span class="p">(</span><span class="n">obj</span><span class="o">.</span><span class="n">tensors</span><span class="p">)</span>
<span class="n">obj</span> <span class="o">=</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">Response</span><span class="p">(</span><span class="n">request_id</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">request_id</span><span class="p">,</span>
<span class="n">tensors</span><span class="o">=</span><span class="n">tensors</span><span class="p">,</span>
<span class="n">finish_reasons</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">,</span>
<span class="n">is_final</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">is_final</span><span class="p">,</span>
<span class="n">error</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">error</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span><span class="o">.</span><span class="n">send</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">get</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">setup</span><span class="p">()</span>
<span class="n">obj</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">conn</span><span class="o">.</span><span class="n">recv</span><span class="p">()</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">Response</span><span class="p">):</span>
<span class="n">tensors</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_load_tensors_from_shmm</span><span class="p">(</span><span class="n">obj</span><span class="o">.</span><span class="n">tensors</span><span class="p">)</span>
<span class="n">obj</span> <span class="o">=</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">Response</span><span class="p">(</span><span class="n">request_id</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">request_id</span><span class="p">,</span>
<span class="n">tensors</span><span class="o">=</span><span class="n">tensors</span><span class="p">,</span>
<span class="n">finish_reasons</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">finish_reasons</span><span class="p">,</span>
<span class="n">is_final</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">is_final</span><span class="p">,</span>
<span class="n">error</span><span class="o">=</span><span class="n">obj</span><span class="o">.</span><span class="n">error</span><span class="p">)</span>
<span class="k">return</span> <span class="n">obj</span>
<span class="k">def</span> <span class="nf">_store_tensors_in_shmm</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">tensors</span><span class="p">:</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span><span class="p">:</span>
<span class="c1"># The tensors are huge and cannot be transferred through socket directly. We need to store them in shared memory,</span>
<span class="c1"># and replace the tensors with the shared memory path.</span>
<span class="k">def</span> <span class="nf">store_tensor</span><span class="p">(</span><span class="n">tensor</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">tensor</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">None</span>
<span class="c1"># NOTE: We create random shmm here rather than two specific shmm for context and generation logit, since the</span>
<span class="c1"># shmm may not be read timely by the IpcQueue.get() in the other side, so there might be multiple alive shmm</span>
<span class="c1"># for logits.</span>
<span class="c1"># A known issue: the shmm instance may leak if the IpcQueue.get() thread is stopped before the IpcQueue.put()</span>
<span class="c1"># thread. This is not a big issue since the shmm will be automatically cleaned up when the process exits.</span>
<span class="n">shm</span> <span class="o">=</span> <span class="n">SharedMemory</span><span class="p">(</span><span class="n">create</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">tensor</span><span class="o">.</span><span class="n">nbytes</span> <span class="o">+</span> <span class="mi">2048</span><span class="p">)</span>
<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">shm</span><span class="o">.</span><span class="n">_mmap</span><span class="p">)</span>
<span class="n">shm</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="k">return</span> <span class="n">shm</span><span class="o">.</span><span class="n">name</span>
<span class="k">return</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span><span class="p">(</span>
<span class="n">output_token_ids</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">output_token_ids</span><span class="p">,</span>
<span class="n">context_logits</span><span class="o">=</span><span class="n">store_tensor</span><span class="p">(</span><span class="n">tensors</span><span class="o">.</span><span class="n">context_logits</span><span class="p">),</span>
<span class="n">generation_logits</span><span class="o">=</span><span class="n">store_tensor</span><span class="p">(</span><span class="n">tensors</span><span class="o">.</span><span class="n">generation_logits</span><span class="p">),</span>
<span class="n">log_probs</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">log_probs</span><span class="p">,</span>
<span class="n">cum_log_probs</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">cum_log_probs</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">_load_tensors_from_shmm</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span> <span class="n">tensors</span><span class="p">:</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span>
<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span><span class="p">:</span>
<span class="k">def</span> <span class="nf">load_tensor</span><span class="p">(</span><span class="n">tensor</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">])</span> <span class="o">-&gt;</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">tensor</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span>
<span class="k">return</span> <span class="n">tensor</span>
<span class="n">shm</span> <span class="o">=</span> <span class="n">SharedMemory</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="n">tensor</span><span class="p">,</span> <span class="n">create</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">tensor</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">io</span><span class="o">.</span><span class="n">BytesIO</span><span class="p">(</span><span class="n">shm</span><span class="o">.</span><span class="n">buf</span><span class="p">))</span>
<span class="n">shm</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="n">shm</span><span class="o">.</span><span class="n">unlink</span><span class="p">()</span>
<span class="k">return</span> <span class="n">tensor</span>
<span class="k">return</span> <span class="n">GenerationExecutor</span><span class="o">.</span><span class="n">ResponseTensors</span><span class="p">(</span>
<span class="n">output_token_ids</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">output_token_ids</span><span class="p">,</span>
<span class="n">context_logits</span><span class="o">=</span><span class="n">load_tensor</span><span class="p">(</span><span class="n">tensors</span><span class="o">.</span><span class="n">context_logits</span><span class="p">),</span>
<span class="n">generation_logits</span><span class="o">=</span><span class="n">load_tensor</span><span class="p">(</span><span class="n">tensors</span><span class="o">.</span><span class="n">generation_logits</span><span class="p">),</span>
<span class="n">log_probs</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">log_probs</span><span class="p">,</span>
<span class="n">cum_log_probs</span><span class="o">=</span><span class="n">tensors</span><span class="o">.</span><span class="n">cum_log_probs</span><span class="p">,</span>
<span class="p">)</span>
<span class="nd">@property</span>
<span class="k">def</span> <span class="nf">address</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">]:</span>
<span class="k">return</span> <span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">host_port</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">host_port</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">authkey</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">close</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">conn</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">listener</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">listener</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">listener</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="k">class</span> <span class="nc">ExecutorBindingsProxy</span><span class="p">(</span><span class="n">GenerationExecutor</span><span class="p">):</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">workers_kwargs</span><span class="p">,</span>
<span class="n">model_world_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">mpi_session</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">MpiSession</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
<span class="o">*</span><span class="p">,</span>
<span class="n">worker_cls</span><span class="p">:</span> <span class="nb">type</span> <span class="o">=</span> <span class="n">ExecutorBindingsWorker</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">workers_started</span> <span class="o">=</span> <span class="kc">False</span>
<span class="bp">self</span><span class="o">.</span><span class="n">worker_cls</span> <span class="o">=</span> <span class="n">worker_cls</span>
<span class="bp">self</span><span class="o">.</span><span class="n">request_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">is_server</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="c1"># Return request id back to dispatcher</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rid_or_err_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">is_server</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">is_server</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mp_stats_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">is_server</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">GenerationResult</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">if</span> <span class="n">mpi_session</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mpi_session</span> <span class="o">=</span> <span class="n">MpiPoolSession</span><span class="p">(</span><span class="n">n_workers</span><span class="o">=</span><span class="n">model_world_size</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mpi_session</span> <span class="o">=</span> <span class="n">mpi_session</span>
<span class="bp">self</span><span class="o">.</span><span class="n">model_world_size</span> <span class="o">=</span> <span class="n">model_world_size</span>
<span class="bp">self</span><span class="o">.</span><span class="n">workers_kwargs</span> <span class="o">=</span> <span class="n">workers_kwargs</span>
<span class="bp">self</span><span class="o">.</span><span class="n">workers_kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">({</span>
<span class="s2">&quot;request_queue_addr&quot;</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">request_queue</span><span class="o">.</span><span class="n">address</span><span class="p">,</span>
<span class="s2">&quot;rid_or_err_queue_addr&quot;</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">address</span><span class="p">,</span>
<span class="s2">&quot;result_queue_addr&quot;</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span><span class="o">.</span><span class="n">address</span><span class="p">,</span>
<span class="s2">&quot;stats_queue_addr&quot;</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mp_stats_queue</span><span class="o">.</span><span class="n">address</span><span class="p">,</span>
<span class="p">})</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_thread</span> <span class="o">=</span> <span class="n">ManagedThread</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_task</span><span class="p">,</span>
<span class="n">error_queue</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">&quot;proxy_dispatch_result_thread&quot;</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span> <span class="o">=</span> <span class="n">ManagedThread</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_task</span><span class="p">,</span>
<span class="n">error_queue</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="p">,</span>
<span class="n">name</span><span class="o">=</span><span class="s2">&quot;proxy_dispatch_stats_thread&quot;</span><span class="p">)</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">workers_main</span><span class="p">(</span><span class="n">engine</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Path</span><span class="p">,</span> <span class="n">Engine</span><span class="p">],</span>
<span class="n">request_queue_addr</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">],</span>
<span class="n">rid_or_err_queue_addr</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">],</span>
<span class="n">result_queue_addr</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">],</span>
<span class="n">stats_queue_addr</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">],</span>
<span class="n">executor_config</span><span class="p">:</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span> <span class="o">=</span> <span class="n">tllm</span><span class="o">.</span><span class="n">ExecutorConfig</span><span class="p">(</span>
<span class="mi">1</span><span class="p">),</span>
<span class="n">worker_cls</span><span class="p">:</span> <span class="nb">type</span> <span class="o">=</span> <span class="n">ExecutorBindingsWorker</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">result_queue</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">mpi_rank</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">request_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">request_queue_addr</span><span class="p">,</span> <span class="n">is_server</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">rid_or_err_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">rid_or_err_queue_addr</span><span class="p">,</span> <span class="n">is_server</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">result_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">result_queue_addr</span><span class="p">,</span> <span class="n">is_server</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">mp_stats_queue</span> <span class="o">=</span> <span class="n">IpcQueue</span><span class="p">(</span><span class="n">stats_queue_addr</span><span class="p">,</span> <span class="n">is_server</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">notify_proxy_threads_to_quit</span><span class="p">():</span>
<span class="c1"># Signal the dispatcher thread in the proxy to quit</span>
<span class="n">result_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="c1"># Signal the stats thread in the proxy to quit</span>
<span class="n">mp_stats_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">executor</span> <span class="o">=</span> <span class="n">worker_cls</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span> <span class="n">executor_config</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">CppExecutorError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Failed to initialize executor: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">with</span> <span class="n">executor</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">executor</span><span class="o">.</span><span class="n">block_subordinates</span><span class="p">()</span>
<span class="k">if</span> <span class="n">mpi_rank</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">executor</span><span class="o">.</span><span class="n">set_result_queue</span><span class="p">(</span><span class="n">result_queue</span><span class="p">)</span>
<span class="n">executor</span><span class="o">.</span><span class="n">set_stats_queue</span><span class="p">(</span><span class="n">mp_stats_queue</span><span class="p">)</span>
<span class="k">while</span> <span class="p">(</span><span class="n">req</span> <span class="o">:=</span> <span class="n">request_queue</span><span class="o">.</span><span class="n">get</span><span class="p">())</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">executor</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span><span class="n">req</span><span class="p">)</span>
<span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">result</span><span class="o">.</span><span class="n">request_id</span><span class="p">)</span>
<span class="k">except</span> <span class="n">RequestError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
<span class="n">notify_proxy_threads_to_quit</span><span class="p">()</span>
<span class="k">except</span> <span class="n">ExecutorBindingsWorker</span><span class="o">.</span><span class="n">WorkerExit</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">e</span> <span class="c1"># This will capture by the with-statement and exit normally.</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> <span class="c1"># other critical errors</span>
<span class="k">if</span> <span class="n">mpi_rank</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">notify_proxy_threads_to_quit</span><span class="p">()</span>
<span class="n">err</span> <span class="o">=</span> <span class="n">CppExecutorError</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Failed during generation: </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
<span class="k">if</span> <span class="n">mpi_rank</span><span class="p">()</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">err</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">dispatch_result_task</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="c1"># process the remaining pending req_ids before getting the next response, since the queue.get will block, we&#39;d</span>
<span class="c1"># better to process the pending req_ids before queue.get.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_pending_responses</span><span class="p">(</span><span class="n">nowait</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="n">res</span> <span class="o">:=</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span><span class="o">.</span><span class="n">get</span><span class="p">())</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span> <span class="c1"># shutdown the thread</span>
<span class="n">req_id</span> <span class="o">=</span> <span class="n">res</span><span class="o">.</span><span class="n">request_id</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_to_delay_response</span><span class="p">(</span><span class="n">res</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">[</span><span class="n">req_id</span><span class="p">]</span><span class="o">.</span><span class="n">queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">res</span><span class="p">)</span>
<span class="k">if</span> <span class="n">res</span><span class="o">.</span><span class="n">is_final</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="n">req_id</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_pending_responses</span><span class="o">.</span><span class="n">setdefault</span><span class="p">(</span><span class="n">req_id</span><span class="p">,</span> <span class="p">[])</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="bp">self</span><span class="o">.</span><span class="n">PendingResponse</span><span class="p">(</span><span class="n">res</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">perf_counter</span><span class="p">()))</span>
<span class="k">return</span> <span class="kc">True</span> <span class="c1"># success</span>
<span class="k">def</span> <span class="nf">dispatch_stats_task</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
<span class="c1"># get-stats is not urgent, so we can sleep a bit</span>
<span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mf">0.1</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">stats</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mp_stats_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">except</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span>
<span class="k">if</span> <span class="n">stats</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span>
<span class="k">while</span> <span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">full</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">try</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stats_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">stats</span><span class="p">)</span>
<span class="k">except</span> <span class="n">AsyncQueue</span><span class="o">.</span><span class="n">EventLoopShutdownError</span><span class="p">:</span>
<span class="c1"># This happens in the last stats loop while the generate workflow is stopped.</span>
<span class="k">pass</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">raise</span> <span class="n">e</span>
<span class="k">return</span> <span class="kc">True</span> <span class="c1"># success</span>
<span class="k">def</span> <span class="nf">start</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">mpi_done_callback</span><span class="p">(</span><span class="n">future</span><span class="p">:</span> <span class="n">concurrent</span><span class="o">.</span><span class="n">futures</span><span class="o">.</span><span class="n">Future</span><span class="p">):</span>
<span class="c1"># This is called when the MPI worker is done, so future.exception() will not block.</span>
<span class="k">if</span> <span class="n">future</span><span class="o">.</span><span class="n">exception</span><span class="p">()</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_error_queue</span><span class="o">.</span><span class="n">put_nowait</span><span class="p">(</span><span class="n">future</span><span class="o">.</span><span class="n">exception</span><span class="p">())</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mpi_futures</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">mpi_session</span><span class="o">.</span><span class="n">submit</span><span class="p">(</span>
<span class="n">ExecutorBindingsProxy</span><span class="o">.</span><span class="n">workers_main</span><span class="p">,</span>
<span class="o">**</span><span class="bp">self</span><span class="o">.</span><span class="n">workers_kwargs</span><span class="p">,</span>
<span class="n">worker_cls</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">worker_cls</span><span class="p">)</span>
<span class="k">for</span> <span class="n">fut</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">mpi_futures</span><span class="p">:</span>
<span class="n">fut</span><span class="o">.</span><span class="n">add_done_callback</span><span class="p">(</span><span class="n">mpi_done_callback</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">workers_started</span> <span class="o">=</span> <span class="kc">True</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">create_stats_queue</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">shutdown</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">if</span> <span class="n">enable_llm_debug</span><span class="p">():</span>
<span class="n">print_colored</span><span class="p">(</span><span class="s1">&#39;Proxy.shutdown...</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">,</span> <span class="s2">&quot;yellow&quot;</span><span class="p">)</span>
<span class="n">print_colored</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">traceback</span><span class="o">.</span><span class="n">extract_stack</span><span class="p">()),</span> <span class="s2">&quot;yellow&quot;</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">workers_started</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">doing_shutdown</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">doing_shutdown</span> <span class="o">=</span> <span class="kc">True</span>
<span class="c1"># step1: notify the workers to quit</span>
<span class="bp">self</span><span class="o">.</span><span class="n">request_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">mpi_futures</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">f</span><span class="o">.</span><span class="n">result</span><span class="p">()</span>
<span class="k">except</span><span class="p">:</span>
<span class="c1"># The errors are already captured in mpi_done_callback, ignored here</span>
<span class="k">pass</span>
<span class="c1"># step2: notify the background threads to quit</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_thread</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_result_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">is_alive</span><span class="p">():</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">stop</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dispatch_stats_thread</span><span class="o">.</span><span class="n">join</span><span class="p">()</span>
<span class="c1"># step3: finish all remaining work</span>
<span class="c1"># It is possible that some requests are still pending in the workers, we need to process them before shutdown</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_cleanup_pending_responses</span><span class="p">(</span><span class="n">nowait</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="c1"># close all the sockets</span>
<span class="bp">self</span><span class="o">.</span><span class="n">request_queue</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">result_queue</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">mp_stats_queue</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">workers_started</span> <span class="o">=</span> <span class="kc">False</span>
<span class="c1"># Process the errors in-case error during shutting down the threads</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">submit</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">request</span><span class="p">:</span> <span class="n">GenerationRequest</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">GenerationResult</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Low-level API to the executor. Return a &quot;future&quot; GenerationResult which can be waited.</span>
<span class="sd"> Forwards the request to the workers through the request queue.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">workers_started</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">start</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">request_queue</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">request</span><span class="p">)</span>
<span class="n">rid_or_err</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rid_or_err_queue</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">rid_or_err</span><span class="p">,</span> <span class="ne">Exception</span><span class="p">):</span>
<span class="k">raise</span> <span class="n">rid_or_err</span>
<span class="n">request</span><span class="o">.</span><span class="n">set_id</span><span class="p">(</span><span class="n">rid_or_err</span><span class="p">)</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">GenerationResult</span><span class="p">(</span>
<span class="n">request</span><span class="p">,</span> <span class="n">background_error_handler</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_results</span><span class="p">[</span><span class="n">rid_or_err</span><span class="p">]</span> <span class="o">=</span> <span class="n">result</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_handle_background_error</span><span class="p">()</span>
<span class="k">return</span> <span class="n">result</span>
<span class="k">def</span> <span class="fm">__del__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span>
<span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">traceback</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">shutdown</span><span class="p">()</span>
<span class="k">return</span> <span class="kc">False</span> <span class="c1"># propagate the exception</span>
</pre></div>
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