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<div class="section" id="module-torch.distributed.elastic.timer">
<span id="expiration-timers"></span><h1>Expiration Timers<a class="headerlink" href="#module-torch.distributed.elastic.timer" title="Permalink to this heading">¶</a></h1>
<p>Expiration timers are set up on the same process as the agent and
used from your script to deal with stuck workers. When you go into
a code-block that has the potential to get stuck you can acquire
an expiration timer, which instructs the timer server to kill the
process if it does not release the timer by the self-imposed expiration
deadline.</p>
<p>Usage:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">torchelastic.timer</span> <span class="k">as</span> <span class="nn">timer</span>
<span class="kn">import</span> <span class="nn">torchelastic.agent.server</span> <span class="k">as</span> <span class="nn">agent</span>
<span class="k">def</span> <span class="nf">main</span><span class="p">():</span>
<span class="n">start_method</span> <span class="o">=</span> <span class="s2">"spawn"</span>
<span class="n">message_queue</span> <span class="o">=</span> <span class="n">mp</span><span class="o">.</span><span class="n">get_context</span><span class="p">(</span><span class="n">start_method</span><span class="p">)</span><span class="o">.</span><span class="n">Queue</span><span class="p">()</span>
<span class="n">server</span> <span class="o">=</span> <span class="n">timer</span><span class="o">.</span><span class="n">LocalTimerServer</span><span class="p">(</span><span class="n">message</span><span class="p">,</span> <span class="n">max_interval</span><span class="o">=</span><span class="mf">0.01</span><span class="p">)</span>
<span class="n">server</span><span class="o">.</span><span class="n">start</span><span class="p">()</span> <span class="c1"># non-blocking</span>
<span class="n">spec</span> <span class="o">=</span> <span class="n">WorkerSpec</span><span class="p">(</span>
<span class="n">fn</span><span class="o">=</span><span class="n">trainer_func</span><span class="p">,</span>
<span class="n">args</span><span class="o">=</span><span class="p">(</span><span class="n">message_queue</span><span class="p">,),</span>
<span class="o">...<</span><span class="n">OTHER_PARAMS</span><span class="o">...></span><span class="p">)</span>
<span class="n">agent</span> <span class="o">=</span> <span class="n">agent</span><span class="o">.</span><span class="n">LocalElasticAgent</span><span class="p">(</span><span class="n">spec</span><span class="p">,</span> <span class="n">start_method</span><span class="p">)</span>
<span class="n">agent</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">trainer_func</span><span class="p">(</span><span class="n">message_queue</span><span class="p">):</span>
<span class="n">timer</span><span class="o">.</span><span class="n">configure</span><span class="p">(</span><span class="n">timer</span><span class="o">.</span><span class="n">LocalTimerClient</span><span class="p">(</span><span class="n">message_queue</span><span class="p">))</span>
<span class="k">with</span> <span class="n">timer</span><span class="o">.</span><span class="n">expires</span><span class="p">(</span><span class="n">after</span><span class="o">=</span><span class="mi">60</span><span class="p">):</span> <span class="c1"># 60 second expiry</span>
<span class="c1"># do some work</span>
</pre></div>
</div>
<p>In the example above if <code class="docutils literal notranslate"><span class="pre">trainer_func</span></code> takes more than 60 seconds to
complete, then the worker process is killed and the agent retries the worker group.</p>
<div class="section" id="client-methods">
<h2>Client Methods<a class="headerlink" href="#client-methods" title="Permalink to this heading">¶</a></h2>
<dl class="py function">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.configure">
<span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">configure</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timer_client</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#configure"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.configure" title="Permalink to this definition">¶</a></dt>
<dd><p>Configures a timer client. Must be called before using <code class="docutils literal notranslate"><span class="pre">expires</span></code>.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.expires">
<span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">expires</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">after</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scope</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">client</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#expires"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.expires" title="Permalink to this definition">¶</a></dt>
<dd><p>Acquires a countdown timer that expires in <code class="docutils literal notranslate"><span class="pre">after</span></code> seconds from now,
unless the code-block that it wraps is finished within the timeframe.
When the timer expires, this worker is eligible to be reaped. The
exact meaning of “reaped” depends on the client implementation. In
most cases, reaping means to terminate the worker process.
Note that the worker is NOT guaranteed to be reaped at exactly
<code class="docutils literal notranslate"><span class="pre">time.now()</span> <span class="pre">+</span> <span class="pre">after</span></code>, but rather the worker is “eligible” for being
reaped and the <code class="docutils literal notranslate"><span class="pre">TimerServer</span></code> that the client talks to will ultimately
make the decision when and how to reap the workers with expired timers.</p>
<p>Usage:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">elastic</span><span class="o">.</span><span class="n">timer</span><span class="o">.</span><span class="n">configure</span><span class="p">(</span><span class="n">LocalTimerClient</span><span class="p">())</span>
<span class="k">with</span> <span class="n">expires</span><span class="p">(</span><span class="n">after</span><span class="o">=</span><span class="mi">10</span><span class="p">):</span>
<span class="n">torch</span><span class="o">.</span><span class="n">distributed</span><span class="o">.</span><span class="n">all_reduce</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
</pre></div>
</div>
<dl class="field-list simple">
</dl>
</dd></dl>
</div>
<div class="section" id="server-client-implementations">
<h2>Server/Client Implementations<a class="headerlink" href="#server-client-implementations" title="Permalink to this heading">¶</a></h2>
<p>Below are the timer server and client pairs that are provided by torchelastic.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Timer server and clients always have to be implemented and used
in pairs since there is a messaging protocol between the server
and client.</p>
</div>
<p>Below is a pair of timer server and client that is implemented based on
a <code class="docutils literal notranslate"><span class="pre">multiprocess.Queue</span></code>.</p>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.LocalTimerServer">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">LocalTimerServer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_interval</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">60</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daemon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/local_timer.html#LocalTimerServer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.LocalTimerServer" title="Permalink to this definition">¶</a></dt>
<dd><p>Server that works with <code class="docutils literal notranslate"><span class="pre">LocalTimerClient</span></code>. Clients are expected to be
subprocesses to the parent process that is running this server. Each host
in the job is expected to start its own timer server locally and each
server instance manages timers for local workers (running on processes
on the same host).</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.LocalTimerClient">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">LocalTimerClient</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mp_queue</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/local_timer.html#LocalTimerClient"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.LocalTimerClient" title="Permalink to this definition">¶</a></dt>
<dd><p>Client side of <code class="docutils literal notranslate"><span class="pre">LocalTimerServer</span></code>. This client is meant to be used
on the same host that the <code class="docutils literal notranslate"><span class="pre">LocalTimerServer</span></code> is running on and uses
pid to uniquely identify a worker. This is particularly useful in situations
where one spawns a subprocess (trainer) per GPU on a host with multiple
GPU devices.</p>
</dd></dl>
<p>Below is another pair of timer server and client that is implemented
based on a named pipe.</p>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.FileTimerServer">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">FileTimerServer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_interval</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daemon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log_event</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/file_based_local_timer.html#FileTimerServer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.FileTimerServer" title="Permalink to this definition">¶</a></dt>
<dd><p>Server that works with <code class="docutils literal notranslate"><span class="pre">FileTimerClient</span></code>. Clients are expected to be
running on the same host as the process that is running this server.
Each host in the job is expected to start its own timer server locally
and each server instance manages timers for local workers (running on
processes on the same host).</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>file_path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – str, the path of a FIFO special file to be created.</p></li>
<li><p><strong>max_interval</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – float, max interval in seconds for each watchdog loop.</p></li>
<li><p><strong>daemon</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a>) – bool, running the watchdog thread in daemon mode or not.
A daemon thread will not block a process to stop.</p></li>
<li><p><strong>log_event</strong> (<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><em>Optional</em></a><em>[</em><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><em>Callable</em></a><em>[</em><em>[</em><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><em>Optional</em></a><em>[</em><em>FileTimerRequest</em><em>]</em><em>]</em><em>, </em><em>None</em><em>]</em><em>]</em>) – Callable[[Dict[str, str]], None], an optional callback for
logging the events in JSON format.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.FileTimerClient">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">FileTimerClient</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file_path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Signals.SIGKILL</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/file_based_local_timer.html#FileTimerClient"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.FileTimerClient" title="Permalink to this definition">¶</a></dt>
<dd><p>Client side of <code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code>. This client is meant to be used
on the same host that the <code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code> is running on and uses
pid to uniquely identify a worker.
This client uses a named_pipe to send timer requests to the
<code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code>. This client is a producer while the
<code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code> is a consumer. Multiple clients can work with
the same <code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>file_path</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>) – str, the path of a FIFO special file. <code class="docutils literal notranslate"><span class="pre">FileTimerServer</span></code>
must have created it by calling os.mkfifo().</p></li>
<li><p><strong>signal</strong> – signal, the signal to use to kill the process. Using a
negative or zero signal will not kill the process.</p></li>
</ul>
</dd>
</dl>
</dd></dl>
</div>
<div class="section" id="writing-a-custom-timer-server-client">
<h2>Writing a custom timer server/client<a class="headerlink" href="#writing-a-custom-timer-server-client" title="Permalink to this heading">¶</a></h2>
<p>To write your own timer server and client extend the
<code class="docutils literal notranslate"><span class="pre">torch.distributed.elastic.timer.TimerServer</span></code> for the server and
<code class="docutils literal notranslate"><span class="pre">torch.distributed.elastic.timer.TimerClient</span></code> for the client. The
<code class="docutils literal notranslate"><span class="pre">TimerRequest</span></code> object is used to pass messages between
the server and client.</p>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerRequest">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">TimerRequest</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scope_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expiration_time</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerRequest"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerRequest" title="Permalink to this definition">¶</a></dt>
<dd><p>Data object representing a countdown timer acquisition and release
that is used between the <code class="docutils literal notranslate"><span class="pre">TimerClient</span></code> and <code class="docutils literal notranslate"><span class="pre">TimerServer</span></code>.
A negative <code class="docutils literal notranslate"><span class="pre">expiration_time</span></code> should be interpreted as a “release”
request.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>the type of <code class="docutils literal notranslate"><span class="pre">worker_id</span></code> is implementation specific.
It is whatever the TimerServer and TimerClient implementations
have on to uniquely identify a worker.</p>
</div>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerServer">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">TimerServer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">request_queue</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_interval</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">daemon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerServer"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerServer" title="Permalink to this definition">¶</a></dt>
<dd><p>Entity that monitors active timers and expires them
in a timely fashion. This server is responsible for
reaping workers that have expired timers.</p>
<dl class="field-list simple">
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerServer.clear_timers">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">clear_timers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">worker_ids</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerServer.clear_timers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerServer.clear_timers" title="Permalink to this definition">¶</a></dt>
<dd><p>Clears all timers for the given <code class="docutils literal notranslate"><span class="pre">worker_ids</span></code>.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerServer.get_expired_timers">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_expired_timers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deadline</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerServer.get_expired_timers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerServer.get_expired_timers" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns all expired timers for each worker_id. An expired timer
is a timer for which the expiration_time is less than or equal to
the provided deadline.</p>
<dl class="field-list simple">
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.12)"><em>Dict</em></a>[<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)">str</a>, <a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.List" title="(in Python v3.12)"><em>List</em></a>[<a class="reference internal" href="#torch.distributed.elastic.timer.TimerRequest" title="torch.distributed.elastic.timer.api.TimerRequest"><em>TimerRequest</em></a>]]</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerServer.register_timers">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">register_timers</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timer_requests</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerServer.register_timers"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerServer.register_timers" title="Permalink to this definition">¶</a></dt>
<dd><p>Processes the incoming timer requests and registers them with the server.
The timer request can either be a acquire-timer or release-timer request.
Timer requests with a negative expiration_time should be interpreted
as a release-timer request.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerClient">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></span><span class="sig-name descname"><span class="pre">TimerClient</span></span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerClient"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerClient" title="Permalink to this definition">¶</a></dt>
<dd><p>Client library to acquire and release countdown timers by communicating
with the TimerServer.</p>
<dl class="py method">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerClient.acquire">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">acquire</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scope_id</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">expiration_time</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerClient.acquire"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerClient.acquire" title="Permalink to this definition">¶</a></dt>
<dd><p>Acquires a timer for the worker that holds this client object
given the scope_id and expiration_time. Typically registers
the timer with the TimerServer.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.distributed.elastic.timer.TimerClient.release">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">release</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scope_id</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/distributed/elastic/timer/api.html#TimerClient.release"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.distributed.elastic.timer.TimerClient.release" title="Permalink to this definition">¶</a></dt>
<dd><p>Releases the timer for the <code class="docutils literal notranslate"><span class="pre">scope_id</span></code> on the worker this
client represents. After this method is
called, the countdown timer on the scope is no longer in effect.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
</dd></dl>
</div>
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<li><a class="reference internal" href="#">Expiration Timers</a><ul>
<li><a class="reference internal" href="#client-methods">Client Methods</a><ul>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.configure"><code class="docutils literal notranslate"><span class="pre">configure()</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.expires"><code class="docutils literal notranslate"><span class="pre">expires()</span></code></a></li>
</ul>
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<li><a class="reference internal" href="#server-client-implementations">Server/Client Implementations</a><ul>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.LocalTimerServer"><code class="docutils literal notranslate"><span class="pre">LocalTimerServer</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.LocalTimerClient"><code class="docutils literal notranslate"><span class="pre">LocalTimerClient</span></code></a></li>
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<li><a class="reference internal" href="#torch.distributed.elastic.timer.FileTimerClient"><code class="docutils literal notranslate"><span class="pre">FileTimerClient</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#writing-a-custom-timer-server-client">Writing a custom timer server/client</a><ul>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerRequest"><code class="docutils literal notranslate"><span class="pre">TimerRequest</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerServer"><code class="docutils literal notranslate"><span class="pre">TimerServer</span></code></a><ul>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerServer.clear_timers"><code class="docutils literal notranslate"><span class="pre">TimerServer.clear_timers()</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerServer.get_expired_timers"><code class="docutils literal notranslate"><span class="pre">TimerServer.get_expired_timers()</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerServer.register_timers"><code class="docutils literal notranslate"><span class="pre">TimerServer.register_timers()</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerClient"><code class="docutils literal notranslate"><span class="pre">TimerClient</span></code></a><ul>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerClient.acquire"><code class="docutils literal notranslate"><span class="pre">TimerClient.acquire()</span></code></a></li>
<li><a class="reference internal" href="#torch.distributed.elastic.timer.TimerClient.release"><code class="docutils literal notranslate"><span class="pre">TimerClient.release()</span></code></a></li>
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