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<li class="toctree-l1"><a class="reference internal" href="notes/autograd.html">Autograd mechanics</a></li>
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<section id="torch-onnx-diagnostics">
<h1>torch.onnx diagnostics<a class="headerlink" href="#torch-onnx-diagnostics" title="Permalink to this heading">¶</a></h1>
<nav class="contents local" id="contents">
<ul class="simple">
<li><p><a class="reference internal" href="#overview" id="id1">Overview</a></p></li>
<li><p><a class="reference internal" href="#diagnostic-rules" id="id2">Diagnostic Rules</a></p></li>
<li><p><a class="reference internal" href="#api-reference" id="id3">API Reference</a></p></li>
</ul>
</nav>
<span class="target" id="module-torch.onnx._internal.diagnostics"></span><section id="overview">
<h2><a class="toc-backref" href="#id1" role="doc-backlink">Overview</a><a class="headerlink" href="#overview" title="Permalink to this heading">¶</a></h2>
<p>NOTE: This feature is underdevelopment and is subject to change.</p>
<p>The goal is to improve the diagnostics to help users debug and improve their model export to ONNX.</p>
<ul class="simple">
<li><p>The diagnostics are emitted in machine parsable <a class="reference external" href="https://docs.oasis-open.org/sarif/sarif/v2.1.0/sarif-v2.1.0.html">Static Analysis Results Interchange Format (SARIF)</a>.</p></li>
<li><p>A new clearer, structured way to add new and keep track of diagnostic rules.</p></li>
<li><p>Serve as foundation for more future improvements consuming the diagnostics.</p></li>
</ul>
</section>
<section id="diagnostic-rules">
<h2><a class="toc-backref" href="#id2" role="doc-backlink">Diagnostic Rules</a><a class="headerlink" href="#diagnostic-rules" title="Permalink to this heading">¶</a></h2>
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</section>
<section id="api-reference">
<h2><a class="toc-backref" href="#id3" role="doc-backlink">API Reference</a><a class="headerlink" href="#api-reference" title="Permalink to this heading">¶</a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.ExportDiagnostic">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.onnx._internal.diagnostics.</span></span><span class="sig-name descname"><span class="pre">ExportDiagnostic</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frames_to_skip</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cpp_stack</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/_diagnostic.html#ExportDiagnostic"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.ExportDiagnostic" title="Permalink to this definition">¶</a></dt>
<dd><p>Base class for all export diagnostics.</p>
<p>This class is used to represent all export diagnostics. It is a subclass of
infra.Diagnostic, and adds additional methods to add more information to the
diagnostic.</p>
<dl class="field-list simple">
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.ExportDiagnostic.record_cpp_call_stack">
<span class="sig-name descname"><span class="pre">record_cpp_call_stack</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames_to_skip</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/_diagnostic.html#ExportDiagnostic.record_cpp_call_stack"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.ExportDiagnostic.record_cpp_call_stack" title="Permalink to this definition">¶</a></dt>
<dd><p>Records the current C++ call stack in the diagnostic.</p>
<dl class="field-list simple">
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p><em>Stack</em></p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.infra.DiagnosticEngine">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.onnx._internal.diagnostics.infra.</span></span><span class="sig-name descname"><span class="pre">DiagnosticEngine</span></span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/infra/engine.html#DiagnosticEngine"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.infra.DiagnosticEngine" title="Permalink to this definition">¶</a></dt>
<dd><p>A generic diagnostic engine based on SARIF.</p>
<p>This class is the main interface for diagnostics. It manages the creation of diagnostic contexts.
A DiagnosticContext provides the entry point for recording Diagnostics.
See infra.DiagnosticContext for more details.</p>
<p class="rubric">Examples</p>
<p>Step 1: Create a set of rules.
>>> rules = infra.RuleCollection.custom_collection_from_list(
… “CustomRuleCollection”,
… [
… infra.Rule(
… id=”r1”,
… name=”rule-1”,
… message_default_template=”Mising xxx”,
… ),
… ],
… )</p>
<p>Step 2: Create a diagnostic engine.
>>> engine = DiagnosticEngine()</p>
<p>Step 3: Start a new diagnostic context.
>>> with engine.create_diagnostic_context(“torch.onnx.export”, version=”1.0”) as context:
… …</p>
<p>Step 4: Add diagnostics in your code.
… context.diagnose(rules.rule1, infra.Level.ERROR)</p>
<p>Step 5: Afterwards, get the SARIF log.
>>> sarif_log = engine.sarif_log()</p>
<dl class="field-list simple">
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.infra.DiagnosticEngine.clear">
<span class="sig-name descname"><span class="pre">clear</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/infra/engine.html#DiagnosticEngine.clear"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.infra.DiagnosticEngine.clear" title="Permalink to this definition">¶</a></dt>
<dd><p>Clears all diagnostic contexts.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.infra.DiagnosticEngine.create_diagnostic_context">
<span class="sig-name descname"><span class="pre">create_diagnostic_context</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">version</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diagnostic_type=<class</span> <span class="pre">'torch.onnx._internal.diagnostics.infra.engine.Diagnostic'></span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/infra/engine.html#DiagnosticEngine.create_diagnostic_context"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.infra.DiagnosticEngine.create_diagnostic_context" title="Permalink to this definition">¶</a></dt>
<dd><p>Creates a new diagnostic context.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – The subject name for the diagnostic context.</p></li>
<li><p><strong>version</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.11)"><em>str</em></a>) – The subject version for the diagnostic context.</p></li>
<li><p><strong>options</strong> (<a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.11)"><em>Optional</em></a><em>[</em><em>DiagnosticOptions</em><em>]</em>) – The options for the diagnostic context.</p></li>
</ul>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>A new diagnostic context.</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p><em>DiagnosticContext</em></p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.infra.DiagnosticEngine.dump">
<span class="sig-name descname"><span class="pre">dump</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">compress</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/infra/engine.html#DiagnosticEngine.dump"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.infra.DiagnosticEngine.dump" title="Permalink to this definition">¶</a></dt>
<dd><p>Dumps the SARIF log to a file.</p>
<dl class="field-list simple">
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="torch.onnx._internal.diagnostics.infra.DiagnosticEngine.pretty_print">
<span class="sig-name descname"><span class="pre">pretty_print</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">level</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Level.ERROR</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/torch/onnx/_internal/diagnostics/infra/engine.html#DiagnosticEngine.pretty_print"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.onnx._internal.diagnostics.infra.DiagnosticEngine.pretty_print" title="Permalink to this definition">¶</a></dt>
<dd><p>Pretty prints all diagnostics in the diagnostic contexts.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>verbose</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.11)"><em>bool</em></a>) – Whether to print the diagnostics in verbose mode. See Diagnostic.pretty_print.</p></li>
<li><p><strong>level</strong> (<em>Level</em>) – The minimum level of diagnostics to print.</p></li>
</ul>
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