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<h1>Source code for torch.ao.quantization</h1><div class="highlight"><pre>
<span></span><span class="c1"># flake8: noqa: F403</span>
<span class="kn">from</span> <span class="nn">.fake_quantize</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.fuse_modules</span> <span class="kn">import</span> <span class="n">fuse_modules</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.fuse_modules</span> <span class="kn">import</span> <span class="n">fuse_modules_qat</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.fuser_method_mappings</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.observer</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.qconfig</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.qconfig_mapping</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.quant_type</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.quantization_mappings</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># type: ignore[no-redef]</span>
<span class="kn">from</span> <span class="nn">.quantize</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.quantize_jit</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.stubs</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="kn">from</span> <span class="nn">.pt2e.eval_utils</span> <span class="kn">import</span> <span class="n">_move_exported_model_to_eval</span> <span class="k">as</span> <span class="n">move_exported_model_to_eval</span>
<span class="kn">from</span> <span class="nn">.pt2e.generate_numeric_debug_handle</span> <span class="kn">import</span> <span class="n">generate_numeric_debug_handle</span> <span class="c1"># noqa: F401</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">Tensor</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="n">ObserverOrFakeQuantize</span> <span class="o">=</span> <span class="n">Union</span><span class="p">[</span><span class="n">ObserverBase</span><span class="p">,</span> <span class="n">FakeQuantizeBase</span><span class="p">]</span>
<span class="n">ObserverOrFakeQuantize</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">"torch.ao.quantization"</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"DeQuantStub"</span><span class="p">,</span>
<span class="s2">"FakeQuantize"</span><span class="p">,</span>
<span class="s2">"FakeQuantizeBase"</span><span class="p">,</span>
<span class="s2">"FixedQParamsFakeQuantize"</span><span class="p">,</span>
<span class="s2">"FixedQParamsObserver"</span><span class="p">,</span>
<span class="s2">"FusedMovingAvgObsFakeQuantize"</span><span class="p">,</span>
<span class="s2">"HistogramObserver"</span><span class="p">,</span>
<span class="s2">"MatchAllNode"</span><span class="p">,</span>
<span class="s2">"MinMaxObserver"</span><span class="p">,</span>
<span class="s2">"MovingAverageMinMaxObserver"</span><span class="p">,</span>
<span class="s2">"MovingAveragePerChannelMinMaxObserver"</span><span class="p">,</span>
<span class="s2">"NoopObserver"</span><span class="p">,</span>
<span class="s2">"ObserverBase"</span><span class="p">,</span>
<span class="s2">"ObserverOrFakeQuantize"</span><span class="p">,</span>
<span class="s2">"Pattern"</span><span class="p">,</span>
<span class="s2">"PerChannelMinMaxObserver"</span><span class="p">,</span>
<span class="s2">"PlaceholderObserver"</span><span class="p">,</span>
<span class="s2">"QConfig"</span><span class="p">,</span>
<span class="s2">"QConfigAny"</span><span class="p">,</span>
<span class="s2">"QConfigDynamic"</span><span class="p">,</span>
<span class="s2">"QConfigMapping"</span><span class="p">,</span>
<span class="s2">"QuantStub"</span><span class="p">,</span>
<span class="s2">"QuantType"</span><span class="p">,</span>
<span class="s2">"QuantWrapper"</span><span class="p">,</span>
<span class="s2">"RecordingObserver"</span><span class="p">,</span>
<span class="s2">"ReuseInputObserver"</span><span class="p">,</span>
<span class="s2">"UniformQuantizationObserverBase"</span><span class="p">,</span>
<span class="s2">"add_quant_dequant"</span><span class="p">,</span>
<span class="s2">"convert"</span><span class="p">,</span>
<span class="s2">"convert_dynamic_jit"</span><span class="p">,</span>
<span class="s2">"convert_jit"</span><span class="p">,</span>
<span class="s2">"default_affine_fixed_qparams_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_affine_fixed_qparams_observer"</span><span class="p">,</span>
<span class="s2">"default_debug_observer"</span><span class="p">,</span>
<span class="s2">"default_dynamic_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_dynamic_quant_observer"</span><span class="p">,</span>
<span class="s2">"default_embedding_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_embedding_fake_quant_4bit"</span><span class="p">,</span>
<span class="s2">"default_eval_fn"</span><span class="p">,</span>
<span class="s2">"default_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_fixed_qparams_range_0to1_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_fixed_qparams_range_0to1_observer"</span><span class="p">,</span>
<span class="s2">"default_fixed_qparams_range_neg1to1_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_fixed_qparams_range_neg1to1_observer"</span><span class="p">,</span>
<span class="s2">"default_float_qparams_observer"</span><span class="p">,</span>
<span class="s2">"default_float_qparams_observer_4bit"</span><span class="p">,</span>
<span class="s2">"default_fused_act_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_fused_per_channel_wt_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_fused_wt_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_histogram_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_histogram_observer"</span><span class="p">,</span>
<span class="s2">"default_observer"</span><span class="p">,</span>
<span class="s2">"default_per_channel_weight_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_per_channel_weight_observer"</span><span class="p">,</span>
<span class="s2">"default_placeholder_observer"</span><span class="p">,</span>
<span class="s2">"default_reuse_input_observer"</span><span class="p">,</span>
<span class="s2">"default_symmetric_fixed_qparams_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_symmetric_fixed_qparams_observer"</span><span class="p">,</span>
<span class="s2">"default_weight_fake_quant"</span><span class="p">,</span>
<span class="s2">"default_weight_observer"</span><span class="p">,</span>
<span class="s2">"disable_fake_quant"</span><span class="p">,</span>
<span class="s2">"disable_observer"</span><span class="p">,</span>
<span class="s2">"enable_fake_quant"</span><span class="p">,</span>
<span class="s2">"enable_observer"</span><span class="p">,</span>
<span class="s2">"fuse_conv_bn"</span><span class="p">,</span>
<span class="s2">"fuse_conv_bn_jit"</span><span class="p">,</span>
<span class="s2">"fuse_conv_bn_relu"</span><span class="p">,</span>
<span class="s2">"fuse_convtranspose_bn"</span><span class="p">,</span>
<span class="s2">"fuse_linear_bn"</span><span class="p">,</span>
<span class="s2">"fuse_modules"</span><span class="p">,</span>
<span class="s2">"fuse_modules_qat"</span><span class="p">,</span>
<span class="s2">"fused_per_channel_wt_fake_quant_range_neg_127_to_127"</span><span class="p">,</span>
<span class="s2">"fused_wt_fake_quant_range_neg_127_to_127"</span><span class="p">,</span>
<span class="s2">"get_combined_dict"</span><span class="p">,</span>
<span class="s2">"get_default_compare_output_module_list"</span><span class="p">,</span>
<span class="s2">"get_default_custom_config_dict"</span><span class="p">,</span>
<span class="s2">"get_default_dynamic_quant_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_dynamic_sparse_quant_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_float_to_quantized_operator_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_qat_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_qat_qconfig"</span><span class="p">,</span>
<span class="s2">"get_default_qat_qconfig_dict"</span><span class="p">,</span>
<span class="s2">"get_default_qat_qconfig_mapping"</span><span class="p">,</span>
<span class="s2">"get_default_qconfig"</span><span class="p">,</span>
<span class="s2">"get_default_qconfig_dict"</span><span class="p">,</span>
<span class="s2">"get_default_qconfig_mapping"</span><span class="p">,</span>
<span class="s2">"get_default_qconfig_propagation_list"</span><span class="p">,</span>
<span class="s2">"get_default_static_quant_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_static_quant_reference_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_default_static_sparse_quant_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_dynamic_quant_module_class"</span><span class="p">,</span>
<span class="s2">"get_embedding_qat_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_embedding_static_quant_module_mappings"</span><span class="p">,</span>
<span class="s2">"get_fuser_method"</span><span class="p">,</span>
<span class="s2">"get_fuser_method_new"</span><span class="p">,</span>
<span class="s2">"get_observer_state_dict"</span><span class="p">,</span>
<span class="s2">"get_quantized_operator"</span><span class="p">,</span>
<span class="s2">"get_static_quant_module_class"</span><span class="p">,</span>
<span class="s2">"load_observer_state_dict"</span><span class="p">,</span>
<span class="s2">"move_exported_model_to_eval"</span><span class="p">,</span>
<span class="s2">"no_observer_set"</span><span class="p">,</span>
<span class="s2">"per_channel_weight_observer_range_neg_127_to_127"</span><span class="p">,</span>
<span class="s2">"prepare"</span><span class="p">,</span>
<span class="s2">"prepare_dynamic_jit"</span><span class="p">,</span>
<span class="s2">"prepare_jit"</span><span class="p">,</span>
<span class="s2">"prepare_qat"</span><span class="p">,</span>
<span class="s2">"propagate_qconfig_"</span><span class="p">,</span>
<span class="s2">"qconfig_equals"</span><span class="p">,</span>
<span class="s2">"quantize"</span><span class="p">,</span>
<span class="s2">"quantize_dynamic"</span><span class="p">,</span>
<span class="s2">"quantize_dynamic_jit"</span><span class="p">,</span>
<span class="s2">"quantize_jit"</span><span class="p">,</span>
<span class="s2">"quantize_qat"</span><span class="p">,</span>
<span class="s2">"script_qconfig"</span><span class="p">,</span>
<span class="s2">"script_qconfig_dict"</span><span class="p">,</span>
<span class="s2">"swap_module"</span><span class="p">,</span>
<span class="s2">"weight_observer_range_neg_127_to_127"</span><span class="p">,</span>
<span class="s2">"generate_numeric_debug_handle"</span><span class="p">,</span>
<span class="p">]</span>
<div class="viewcode-block" id="default_eval_fn"><a class="viewcode-back" href="../../../generated/torch.ao.quantization.default_eval_fn.html#torch.ao.quantization.default_eval_fn">[docs]</a><span class="k">def</span> <span class="nf">default_eval_fn</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">calib_data</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Define the default evaluation function.</span>
<span class="sd"> Default evaluation function takes a torch.utils.data.Dataset or a list of</span>
<span class="sd"> input Tensors and run the model on the dataset</span>
<span class="sd"> """</span>
<span class="k">for</span> <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="ow">in</span> <span class="n">calib_data</span><span class="p">:</span>
<span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></div>
<span class="k">class</span> <span class="nc">_DerivedObserverOrFakeQuantize</span><span class="p">(</span><span class="n">ObserverBase</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""This observer is used to describe an observer whose quantization parameters</span>
<span class="sd"> are derived from other observers</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
<span class="bp">self</span><span class="p">,</span>
<span class="n">dtype</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
<span class="n">obs_or_fqs</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">ObserverOrFakeQuantize</span><span class="p">],</span>
<span class="n">derive_qparams_fn</span><span class="p">:</span> <span class="n">Callable</span><span class="p">[[</span><span class="n">List</span><span class="p">[</span><span class="n">ObserverOrFakeQuantize</span><span class="p">]],</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">]],</span>
<span class="n">quant_min</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">quant_max</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">qscheme</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">qscheme</span><span class="p">]</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
<span class="n">ch_axis</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
<span class="p">):</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">obs_or_fqs</span> <span class="o">=</span> <span class="n">obs_or_fqs</span>
<span class="bp">self</span><span class="o">.</span><span class="n">derive_qparams_fn</span> <span class="o">=</span> <span class="n">derive_qparams_fn</span>
<span class="bp">self</span><span class="o">.</span><span class="n">quant_min</span> <span class="o">=</span> <span class="n">quant_min</span>
<span class="bp">self</span><span class="o">.</span><span class="n">quant_max</span> <span class="o">=</span> <span class="n">quant_max</span>
<span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span> <span class="o">=</span> <span class="n">qscheme</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ch_axis</span> <span class="o">=</span> <span class="n">ch_axis</span>
<span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="n">is_per_channel</span>
<span class="k">if</span> <span class="n">is_per_channel</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">qscheme</span><span class="p">):</span>
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">ch_axis</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">"Must provide a valid ch_axis if qscheme is per channel"</span>
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">)</span> <span class="o">-></span> <span class="n">Tensor</span><span class="p">:</span>
<span class="k">return</span> <span class="n">x</span>
<span class="k">def</span> <span class="nf">calculate_qparams</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">derive_qparams_fn</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">obs_or_fqs</span><span class="p">)</span>
</pre></div>
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