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@@ -68,14 +68,15 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
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@@ -125,7 +126,8 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
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@@ -151,6 +153,10 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
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@@ -527,9 +533,9 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<pre class="text"><code>Watchdog caught collective operation timeout: WorkNCCL(SeqNum=42, OpType=ALLGATHER, Timeout(ms)=1800000) ran for 1806948 milliseconds before timing out.</code></pre>
<p>Often, this timeout will happen after 30 minutes (the default setting) and is accompanied by below-average power consumption with near 100% GPU utilization before the error is raised. Nvidia recommends <a href="https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/troubleshooting.html#pci-access-control-services-acs">disabling PCI access control services (ACS)</a> as a possible solution if this is available to you.</p>
<p>Forcing cross-GPU communication via <a href="https://en.wikipedia.org/wiki/NVLink">NVLink</a> may help without increasing timeouts. To verify that your configuration is leveraging NVLink run the following command:</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="ex">nvidia-smi</span> nvlink <span class="at">--status</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<p>To force NCCL to use NVLink, simply set this in the environment:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">NCCL_P2P_LEVEL</span><span class="op">=</span>NVL</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb3"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">NCCL_P2P_LEVEL</span><span class="op">=</span>NVL</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<p>If NVLink is not available in your environment there are other options for <code>NCCL_P2P_LEVEL</code> in the table below:</p>
<table class="caption-top table">
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<p>To validate that acceptable data transfer speeds exist for your training job, running <a href="https://github.com/NVIDIA/nccl-tests/blob/master/README.md">NCCL Tests</a> can help pinpoint bottlenecks, for example:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./build/all_reduce_perf</span> <span class="at">-b</span> 8 <span class="at">-e</span> 128M <span class="at">-f</span> 2 <span class="at">-g</span> 3</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb4"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./build/all_reduce_perf</span> <span class="at">-b</span> 8 <span class="at">-e</span> 128M <span class="at">-f</span> 2 <span class="at">-g</span> 3</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<p>It can be useful when debugging NCCL communication timeouts to activate additional logging in both PyTorch and NCCL:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">NCCL_DEBUG</span><span class="op">=</span>INFO</span>
<div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb5"><pre class="sourceCode bash code-with-copy"><code class="sourceCode bash"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">NCCL_DEBUG</span><span class="op">=</span>INFO</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">NCCL_DEBUG_SUBSYS</span><span class="op">=</span>ALL</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">TORCH_DISTRIBUTED_DEBUG</span><span class="op">=</span>INFO</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">TORCHELASTIC_ERROR_FILE</span><span class="op">=</span>/PATH/TO/torcherror.log</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="bu">export</span> <span class="va">TORCHELASTIC_ERROR_FILE</span><span class="op">=</span>/PATH/TO/torcherror.log</span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
<p>Finally, if you believe your training job needs more time you can increase the timeout past 30 minutes by setting the <code>ddp_timeout</code> value in the Axolotl configuration. See <a href="https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group">PyTorch init_process_group</a> for documentation on this value.</p>
@@ -620,13 +626,14 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
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