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<h1>Source code for torch_tensorrt.logging</h1><div class="highlight"><pre>
<span></span><span class="kn">import</span><span class="w"> </span><span class="nn">logging</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Any</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">tensorrt</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">trt</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt._features</span><span class="w"> </span><span class="kn">import</span> <span class="n">ENABLED_FEATURES</span>
<span class="n">logging</span><span class="o">.</span><span class="n">captureWarnings</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span>
<span class="n">_LOGGER</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">getLogger</span><span class="p">(</span><span class="s2">"torch_tensorrt [TensorRT Conversion Context]"</span><span class="p">)</span>
<span class="k">class</span><span class="w"> </span><span class="nc">_TRTLogger</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="p">):</span> <span class="c1"># type: ignore[misc]</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </span><span class="nf">log</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">severity</span><span class="p">:</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="p">,</span> <span class="n">msg</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="c1"># TODO: Move to match once py39 reaches EoL</span>
<span class="k">if</span> <span class="n">severity</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">INTERNAL_ERROR</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">critical</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">severity</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">ERROR</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">severity</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">WARNING</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">severity</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">INFO</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">severity</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">VERBOSE</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span>
<span class="n">TRT_LOGGER</span> <span class="o">=</span> <span class="n">_TRTLogger</span><span class="p">()</span>
<div class="viewcode-block" id="internal_errors"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.internal_errors">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">internal_errors</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to limit displayed log messages to just internal errors</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.internal_errors():</span>
<span class="sd"> outputs = model_torchtrt(inputs)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">CRITICAL</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">InternalError</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span>
<span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">INTERNAL_ERROR</span><span class="p">)</span>
<span class="p">)</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
<div class="viewcode-block" id="errors"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.errors">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">errors</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to limit displayed log messages to just errors and above</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.errors():</span>
<span class="sd"> outputs = model_torchtrt(inputs)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Error</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">ERROR</span><span class="p">))</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
<div class="viewcode-block" id="warnings"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.warnings">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">warnings</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to limit displayed log messages to just warnings and above</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.warnings():</span>
<span class="sd"> model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">WARNING</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Warning</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">WARNING</span><span class="p">))</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
<div class="viewcode-block" id="info"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.info">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">info</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to display all info and greater severity messages</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.info():</span>
<span class="sd"> model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">INFO</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Info</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">INFO</span><span class="p">))</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
<div class="viewcode-block" id="debug"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.debug">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">debug</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to display full debug information through the logger</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.debug():</span>
<span class="sd"> model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">DEBUG</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Debug</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">VERBOSE</span><span class="p">))</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
<div class="viewcode-block" id="graphs"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.graphs">[docs]</a><span class="k">class</span><span class="w"> </span><span class="nc">graphs</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Context-manager to display the results of intermediate lowering passes</span>
<span class="sd"> as well as full debug information through the logger</span>
<span class="sd"> Example:</span>
<span class="sd"> .. code-block:: py</span>
<span class="sd"> with torch_tensorrt.logging.graphs():</span>
<span class="sd"> model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd"> """</span>
<span class="k">def</span><span class="w"> </span><span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</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">external_lvl</span> <span class="o">=</span> <span class="n">_LOGGER</span><span class="o">.</span><span class="n">getEffectiveLevel</span><span class="p">()</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">NOTSET</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span> <span class="o">=</span> <span class="n">ts_logging</span><span class="o">.</span><span class="n">get_reportable_log_level</span><span class="p">()</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">ts_logging</span><span class="o">.</span><span class="n">Level</span><span class="o">.</span><span class="n">Graph</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">get_logging_level</span><span class="p">()</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">ILogger</span><span class="o">.</span><span class="n">Severity</span><span class="o">.</span><span class="n">VERBOSE</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
<span class="k">def</span><span class="w"> </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">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="n">_LOGGER</span><span class="o">.</span><span class="n">setLevel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span>
<span class="k">if</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torchscript_frontend</span><span class="p">:</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">torch_tensorrt.ts</span><span class="w"> </span><span class="kn">import</span> <span class="n">logging</span> <span class="k">as</span> <span class="n">ts_logging</span>
<span class="n">ts_logging</span><span class="o">.</span><span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">ts_level</span><span class="p">)</span>
<span class="k">elif</span> <span class="n">ENABLED_FEATURES</span><span class="o">.</span><span class="n">torch_tensorrt_runtime</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">ops</span><span class="o">.</span><span class="n">tensorrt</span><span class="o">.</span><span class="n">set_logging_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">rt_level</span><span class="p">)</span></div>
</pre></div>
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