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<h1>Source code for torch.onnx</h1><div class="highlight"><pre>
<span></span><span class="sd">"""ONNX exporter."""</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">_C</span>
<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="n">_onnx</span> <span class="k">as</span> <span class="n">_C_onnx</span>
<span class="kn">from</span> <span class="nn">torch._C._onnx</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">_CAFFE2_ATEN_FALLBACK</span><span class="p">,</span>
<span class="n">OperatorExportTypes</span><span class="p">,</span>
<span class="n">TensorProtoDataType</span><span class="p">,</span>
<span class="n">TrainingMode</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="p">(</span> <span class="c1"># usort:skip. Keep the order instead of sorting lexicographically</span>
<span class="n">_deprecation</span><span class="p">,</span>
<span class="n">errors</span><span class="p">,</span>
<span class="n">symbolic_caffe2</span><span class="p">,</span>
<span class="n">symbolic_helper</span><span class="p">,</span>
<span class="n">symbolic_opset7</span><span class="p">,</span>
<span class="n">symbolic_opset8</span><span class="p">,</span>
<span class="n">symbolic_opset9</span><span class="p">,</span>
<span class="n">symbolic_opset10</span><span class="p">,</span>
<span class="n">symbolic_opset11</span><span class="p">,</span>
<span class="n">symbolic_opset12</span><span class="p">,</span>
<span class="n">symbolic_opset13</span><span class="p">,</span>
<span class="n">symbolic_opset14</span><span class="p">,</span>
<span class="n">symbolic_opset15</span><span class="p">,</span>
<span class="n">symbolic_opset16</span><span class="p">,</span>
<span class="n">symbolic_opset17</span><span class="p">,</span>
<span class="n">symbolic_opset18</span><span class="p">,</span>
<span class="n">utils</span><span class="p">,</span>
<span class="p">)</span>
<span class="c1"># TODO(After 1.13 release): Remove the deprecated SymbolicContext</span>
<span class="kn">from</span> <span class="nn">._exporter_states</span> <span class="kn">import</span> <span class="n">ExportTypes</span><span class="p">,</span> <span class="n">SymbolicContext</span>
<span class="kn">from</span> <span class="nn">._type_utils</span> <span class="kn">import</span> <span class="n">JitScalarType</span>
<span class="kn">from</span> <span class="nn">.errors</span> <span class="kn">import</span> <span class="n">CheckerError</span> <span class="c1"># Backwards compatibility</span>
<span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">_optimize_graph</span><span class="p">,</span>
<span class="n">_run_symbolic_function</span><span class="p">,</span>
<span class="n">_run_symbolic_method</span><span class="p">,</span>
<span class="n">export</span><span class="p">,</span>
<span class="n">export_to_pretty_string</span><span class="p">,</span>
<span class="n">is_in_onnx_export</span><span class="p">,</span>
<span class="n">register_custom_op_symbolic</span><span class="p">,</span>
<span class="n">select_model_mode_for_export</span><span class="p">,</span>
<span class="n">unregister_custom_op_symbolic</span><span class="p">,</span>
<span class="p">)</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="c1"># Modules</span>
<span class="s2">"symbolic_helper"</span><span class="p">,</span>
<span class="s2">"utils"</span><span class="p">,</span>
<span class="s2">"errors"</span><span class="p">,</span>
<span class="c1"># All opsets</span>
<span class="s2">"symbolic_caffe2"</span><span class="p">,</span>
<span class="s2">"symbolic_opset7"</span><span class="p">,</span>
<span class="s2">"symbolic_opset8"</span><span class="p">,</span>
<span class="s2">"symbolic_opset9"</span><span class="p">,</span>
<span class="s2">"symbolic_opset10"</span><span class="p">,</span>
<span class="s2">"symbolic_opset11"</span><span class="p">,</span>
<span class="s2">"symbolic_opset12"</span><span class="p">,</span>
<span class="s2">"symbolic_opset13"</span><span class="p">,</span>
<span class="s2">"symbolic_opset14"</span><span class="p">,</span>
<span class="s2">"symbolic_opset15"</span><span class="p">,</span>
<span class="s2">"symbolic_opset16"</span><span class="p">,</span>
<span class="s2">"symbolic_opset17"</span><span class="p">,</span>
<span class="s2">"symbolic_opset18"</span><span class="p">,</span>
<span class="c1"># Enums</span>
<span class="s2">"ExportTypes"</span><span class="p">,</span>
<span class="s2">"OperatorExportTypes"</span><span class="p">,</span>
<span class="s2">"TrainingMode"</span><span class="p">,</span>
<span class="s2">"TensorProtoDataType"</span><span class="p">,</span>
<span class="s2">"JitScalarType"</span><span class="p">,</span>
<span class="c1"># Public functions</span>
<span class="s2">"export"</span><span class="p">,</span>
<span class="s2">"export_to_pretty_string"</span><span class="p">,</span>
<span class="s2">"is_in_onnx_export"</span><span class="p">,</span>
<span class="s2">"select_model_mode_for_export"</span><span class="p">,</span>
<span class="s2">"register_custom_op_symbolic"</span><span class="p">,</span>
<span class="s2">"unregister_custom_op_symbolic"</span><span class="p">,</span>
<span class="s2">"disable_log"</span><span class="p">,</span>
<span class="s2">"enable_log"</span><span class="p">,</span>
<span class="c1"># Errors</span>
<span class="s2">"CheckerError"</span><span class="p">,</span> <span class="c1"># Backwards compatibility</span>
<span class="p">]</span>
<span class="c1"># Set namespace for exposed private names</span>
<span class="n">ExportTypes</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.onnx"</span>
<span class="n">JitScalarType</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.onnx"</span>
<span class="n">producer_name</span> <span class="o">=</span> <span class="s2">"pytorch"</span>
<span class="n">producer_version</span> <span class="o">=</span> <span class="n">_C_onnx</span><span class="o">.</span><span class="n">PRODUCER_VERSION</span>
<span class="nd">@_deprecation</span><span class="o">.</span><span class="n">deprecated</span><span class="p">(</span>
<span class="n">since</span><span class="o">=</span><span class="s2">"1.12.0"</span><span class="p">,</span> <span class="n">removed_in</span><span class="o">=</span><span class="s2">"2.0"</span><span class="p">,</span> <span class="n">instructions</span><span class="o">=</span><span class="s2">"use `torch.onnx.export` instead"</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">_export</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="k">return</span> <span class="n">utils</span><span class="o">.</span><span class="n">_export</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<span class="c1"># TODO(justinchuby): Deprecate these logging functions in favor of the new diagnostic module.</span>
<span class="c1"># Returns True iff ONNX logging is turned on.</span>
<span class="n">is_onnx_log_enabled</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_is_onnx_log_enabled</span>
<div class="viewcode-block" id="enable_log"><a class="viewcode-back" href="../../onnx.html#torch.onnx.enable_log">[docs]</a><span class="k">def</span> <span class="nf">enable_log</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="sa">r</span><span class="sd">"""Enables ONNX logging."""</span>
<span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_enabled</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span></div>
<div class="viewcode-block" id="disable_log"><a class="viewcode-back" href="../../onnx.html#torch.onnx.disable_log">[docs]</a><span class="k">def</span> <span class="nf">disable_log</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="sa">r</span><span class="sd">"""Disables ONNX logging."""</span>
<span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_enabled</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span></div>
<span class="sd">"""Sets output stream for ONNX logging.</span>
<span class="sd">Args:</span>
<span class="sd"> stream_name (str, default "stdout"): Only 'stdout' and 'stderr' are supported</span>
<span class="sd"> as ``stream_name``.</span>
<span class="sd">"""</span>
<span class="n">set_log_stream</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_output_stream</span>
<span class="sd">"""A simple logging facility for ONNX exporter.</span>
<span class="sd">Args:</span>
<span class="sd"> args: Arguments are converted to string, concatenated together with a newline</span>
<span class="sd"> character appended to the end, and flushed to output stream.</span>
<span class="sd">"""</span>
<span class="n">log</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_onnx_log</span>
</pre></div>
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