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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 headline">¶</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 headline">¶</a></h2>
<dl class="py function">
<dt id="torch.distributed.elastic.timer.configure">
<code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">configure</span></code><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>
</dd></dl>
<dl class="py function">
<dt id="torch.distributed.elastic.timer.expires">
<code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">expires</span></code><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>
</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 headline">¶</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>
<dl class="py class">
<dt id="torch.distributed.elastic.timer.LocalTimerServer">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">LocalTimerServer</span></code><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>
</dd></dl>
<dl class="py class">
<dt id="torch.distributed.elastic.timer.LocalTimerClient">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">LocalTimerClient</span></code><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>
</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 headline">¶</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 id="torch.distributed.elastic.timer.TimerRequest">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">TimerRequest</span></code><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>
</dd></dl>
<dl class="py class">
<dt id="torch.distributed.elastic.timer.TimerServer">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">TimerServer</span></code><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="py method">
<dt id="torch.distributed.elastic.timer.TimerServer.clear_timers">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">clear_timers</span></code><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>
</dd></dl>
<dl class="py method">
<dt id="torch.distributed.elastic.timer.TimerServer.get_expired_timers">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">get_expired_timers</span></code><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>
</dd></dl>
<dl class="py method">
<dt id="torch.distributed.elastic.timer.TimerServer.register_timers">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">register_timers</span></code><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>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt id="torch.distributed.elastic.timer.TimerClient">
<em class="property"><span class="pre">class</span> </em><code class="sig-prename descclassname"><span class="pre">torch.distributed.elastic.timer.</span></code><code class="sig-name descname"><span class="pre">TimerClient</span></code><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 id="torch.distributed.elastic.timer.TimerClient.acquire">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">acquire</span></code><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>
</dd></dl>
<dl class="py method">
<dt id="torch.distributed.elastic.timer.TimerClient.release">
<em class="property"><span class="pre">abstract</span> </em><code class="sig-name descname"><span class="pre">release</span></code><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>
</dd></dl>
</dd></dl>
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<li><a class="reference internal" href="#client-methods">Client Methods</a></li>
<li><a class="reference internal" href="#server-client-implementations">Server/Client Implementations</a></li>
<li><a class="reference internal" href="#writing-a-custom-timer-server-client">Writing a custom timer server/client</a></li>
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