diff --git a/releases/1.35.0/Examples/tensorflow/quantization/keras/quantsim_cle.ipynb b/releases/1.35.0/Examples/tensorflow/quantization/keras/quantsim_cle.ipynb
index b80b1ff..32473cf 100644
--- a/releases/1.35.0/Examples/tensorflow/quantization/keras/quantsim_cle.ipynb
+++ b/releases/1.35.0/Examples/tensorflow/quantization/keras/quantsim_cle.ipynb
@@ -277,7 +277,7 @@
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@@ -349,7 +349,7 @@
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@@ -406,7 +406,7 @@
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diff --git a/releases/1.35.0/api_docs/onnx.html b/releases/1.35.0/api_docs/onnx.html
index 76a529d..91709e4 100644
--- a/releases/1.35.0/api_docs/onnx.html
+++ b/releases/1.35.0/api_docs/onnx.html
@@ -243,15 +243,9 @@
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+<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
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 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
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@@ -389,10 +336,7 @@
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+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
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diff --git a/releases/1.35.0/api_docs/onnx_adaround.html b/releases/1.35.0/api_docs/onnx_adaround.html
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="torch_multi_gpu.html"> Multi-GPU guidelines</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#spatial-svd-configuration">Spatial SVD Configuration</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#weight-svd-configuration">Weight SVD Configuration</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#channel-pruning-configuration">Channel Pruning Configuration</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
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-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#top-level-api-compression">Top-level API Compression</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
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-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
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diff --git a/releases/1.35.0/api_docs/onnx_auto_quant.html b/releases/1.35.0/api_docs/onnx_auto_quant.html
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--- a/releases/1.35.0/api_docs/onnx_auto_quant.html
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@@ -243,15 +243,9 @@
 <li class="toctree-l4"><a class="reference internal" href="torch_quantization.html#aimet-torch">aimet_torch</a><ul>
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+<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a></li>
 <li class="toctree-l6"><a class="reference internal" href="torch_model_preparer.html"> Model Preparer API</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_torch.v1.adaround.adaround_weight.AdaroundParameters"><code class="docutils literal notranslate"><span class="pre">AdaroundParameters</span></code></a></li>
-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
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 <li class="toctree-l9"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#introduction">Introduction</a></li>
-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
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-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/quantized_modules.html#top-level-api">Top-level API</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
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diff --git a/releases/1.35.0/api_docs/onnx_cross_layer_equalization.html b/releases/1.35.0/api_docs/onnx_cross_layer_equalization.html
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 <li class="toctree-l6"><a class="reference internal" href="torch_model_preparer.html"> Model Preparer API</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer</span></code></a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers()</span></code></a></li>
-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers()</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.QuantizationSimModel"><code class="docutils literal notranslate"><span class="pre">QuantizationSimModel</span></code></a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
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 <li class="toctree-l9"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_torch.v1.adaround.adaround_weight.AdaroundParameters"><code class="docutils literal notranslate"><span class="pre">AdaroundParameters</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#user-guide-link">User Guide Link</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#examples-notebook-link">Examples Notebook Link</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_cross_layer_equalization.html#aimet_torch.cross_layer_equalization.equalize_model"><code class="docutils literal notranslate"><span class="pre">equalize_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#introduction">Introduction</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.ClsSetInfo"><code class="docutils literal notranslate"><span class="pre">ClsSetInfo</span></code></a></li>
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-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_all_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_all_batch_norms()</span></code></a></li>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
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-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.CrossLayerScaling.scale_cls_sets"><code class="docutils literal notranslate"><span class="pre">scale_cls_sets()</span></code></a></li>
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-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#code-example-2-analytical-empirical-bias-correction">Code Example #2 Analytical + Empirical Bias correction</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_auto_quant.html#top-level-api">Top-level API</a></li>
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-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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-<li class="toctree-l6"><a class="reference internal" href="../torch_docs/api/nn.quantization_mixin.html">QuantizationMixin</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/nn.quantization_mixin.html#aimet_torch.v2.nn.QuantizationMixin"><code class="docutils literal notranslate"><span class="pre">QuantizationMixin</span></code></a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#aimet_torch.v2.quantization.affine.Quantize"><code class="docutils literal notranslate"><span class="pre">Quantize</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#functions">Functions</a></li>
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 </ul>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_relative_weight_ranges_to_identify_problematic_layers"><code class="docutils literal notranslate"><span class="pre">visualize_relative_weight_ranges_to_identify_problematic_layers()</span></code></a></li>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_weight_ranges"><code class="docutils literal notranslate"><span class="pre">visualize_weight_ranges()</span></code></a></li>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_changes_after_optimization"><code class="docutils literal notranslate"><span class="pre">visualize_changes_after_optimization()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_layer_output_generation.html">PyTorch Debug API</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.LayerOutputUtil"><code class="docutils literal notranslate"><span class="pre">LayerOutputUtil</span></code></a><ul>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.LayerOutputUtil.generate_layer_outputs"><code class="docutils literal notranslate"><span class="pre">LayerOutputUtil.generate_layer_outputs()</span></code></a></li>
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-<li class="toctree-l5"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme"><code class="docutils literal notranslate"><span class="pre">NamingScheme</span></code></a><ul>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme.ONNX"><code class="docutils literal notranslate"><span class="pre">NamingScheme.ONNX</span></code></a></li>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme.PYTORCH"><code class="docutils literal notranslate"><span class="pre">NamingScheme.PYTORCH</span></code></a></li>
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-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#code-example">Code Example</a></li>
 </ul>
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diff --git a/releases/1.35.0/api_docs/onnx_layer_output_generation.html b/releases/1.35.0/api_docs/onnx_layer_output_generation.html
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+++ b/releases/1.35.0/api_docs/onnx_layer_output_generation.html
@@ -243,15 +243,9 @@
 <li class="toctree-l4"><a class="reference internal" href="torch_quantization.html#aimet-torch">aimet_torch</a><ul>
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-<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a><ul>
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+<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a></li>
 <li class="toctree-l6"><a class="reference internal" href="torch_model_preparer.html"> Model Preparer API</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_model_preparer.html#aimet_torch.model_preparer.prepare_model"><code class="docutils literal notranslate"><span class="pre">prepare_model()</span></code></a></li>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#code-examples">Code Examples</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#limitations-of-torch-fx-symbolic-trace-api">Limitations of torch.fx symbolic trace API</a></li>
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@@ -261,23 +255,10 @@
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer</span></code></a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers()</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.QuantizationSimModel"><code class="docutils literal notranslate"><span class="pre">QuantizationSimModel</span></code></a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
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@@ -312,14 +284,8 @@
 <li class="toctree-l6"><a class="reference internal" href="torch_adaround.html"> Adaptive Rounding API</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
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@@ -338,31 +304,15 @@
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-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
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-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#introduction">Introduction</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.ClsSetInfo"><code class="docutils literal notranslate"><span class="pre">ClsSetInfo</span></code></a></li>
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-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_all_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_all_batch_norms()</span></code></a></li>
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-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a><ul>
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-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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@@ -372,10 +322,7 @@
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 <li class="toctree-l6"><a class="reference internal" href="torch_bias_correction.html"> Bias Correction API</a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#convbninfotype">ConvBnInfoType</a><ul>
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@@ -389,10 +336,7 @@
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+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_auto_quant.html#top-level-api">Top-level API</a></li>
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-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#code-example-bn-reestimation">Code Example - BN-Reestimation</a></li>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a><ul>
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-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="torch_multi_gpu.html"> Multi-GPU guidelines</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.save_checkpoint"><code class="docutils literal notranslate"><span class="pre">quantsim.save_checkpoint()</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
@@ -312,14 +284,8 @@
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 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#examples-notebook-link">Examples Notebook Link</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_torch.v1.adaround.adaround_weight.AdaroundParameters"><code class="docutils literal notranslate"><span class="pre">AdaroundParameters</span></code></a></li>
-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#introduction">Introduction</a></li>
-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_cross_layer_equalization.html#aimet_torch.cross_layer_equalization.equalize_model"><code class="docutils literal notranslate"><span class="pre">equalize_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a><ul>
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-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a></li>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/quantized_modules.html#top-level-api">Top-level API</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a></li>
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diff --git a/releases/1.35.0/api_docs/onnx_quantization.html b/releases/1.35.0/api_docs/onnx_quantization.html
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+<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a></li>
 <li class="toctree-l6"><a class="reference internal" href="torch_model_preparer.html"> Model Preparer API</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_model_preparer.html#aimet_torch.model_preparer.prepare_model"><code class="docutils literal notranslate"><span class="pre">prepare_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#code-examples">Code Examples</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#limitations-of-torch-fx-symbolic-trace-api">Limitations of torch.fx symbolic trace API</a></li>
 </ul>
@@ -261,23 +255,10 @@
 <li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#user-guide-link">User Guide Link</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer</span></code></a><ul>
-<li class="toctree-l9"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.enable_per_layer_mse_loss"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.enable_per_layer_mse_loss()</span></code></a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers()</span></code></a></li>
-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers()</span></code></a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.export_per_layer_stats_histogram"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.export_per_layer_stats_histogram()</span></code></a></li>
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-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#user-guide-link">User Guide Link</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#examples-notebook-link">Examples Notebook Link</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.QuantizationSimModel"><code class="docutils literal notranslate"><span class="pre">QuantizationSimModel</span></code></a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">quantsim.load_checkpoint()</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
@@ -312,14 +284,8 @@
 <li class="toctree-l6"><a class="reference internal" href="torch_adaround.html"> Adaptive Rounding API</a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_torch.v1.adaround.adaround_weight.AdaroundParameters"><code class="docutils literal notranslate"><span class="pre">AdaroundParameters</span></code></a></li>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
@@ -338,31 +304,15 @@
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#user-guide-link">User Guide Link</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#examples-notebook-link">Examples Notebook Link</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_cross_layer_equalization.html#aimet_torch.cross_layer_equalization.equalize_model"><code class="docutils literal notranslate"><span class="pre">equalize_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#introduction">Introduction</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.ClsSetInfo"><code class="docutils literal notranslate"><span class="pre">ClsSetInfo</span></code></a></li>
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-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_all_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_all_batch_norms()</span></code></a></li>
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-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_given_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_given_batch_norms()</span></code></a></li>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.CrossLayerScaling.scale_cls_sets"><code class="docutils literal notranslate"><span class="pre">scale_cls_sets()</span></code></a></li>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#id0"><code class="docutils literal notranslate"><span class="pre">bias_fold()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="torch_bias_correction.html"> Bias Correction API</a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#convbninfotype">ConvBnInfoType</a><ul>
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@@ -389,10 +336,7 @@
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_auto_quant.html#aimet_torch.v1.auto_quant.AutoQuant"><code class="docutils literal notranslate"><span class="pre">AutoQuant</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_auto_quant.html#top-level-api">Top-level API</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_batchnorm_re_estimation.html#aimet_torch.batch_norm_fold.fold_all_batch_norms_to_scale"><code class="docutils literal notranslate"><span class="pre">fold_all_batch_norms_to_scale()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#code-example-bn-reestimation">Code Example - BN-Reestimation</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_peft_lora.html#aimet_torch.peft.track_lora_meta_data"><code class="docutils literal notranslate"><span class="pre">peft.track_lora_meta_data()</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_peft_lora.html#top-level-api">Top-level API</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="../torch_docs/quantizer.html">Quantizers</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/quantizer.html#top-level-api">Top-level API</a><ul>
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-<li class="toctree-l6"><a class="reference internal" href="../torch_docs/api/nn.quantization_mixin.html">QuantizationMixin</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/nn.quantization_mixin.html#aimet_torch.v2.nn.QuantizationMixin"><code class="docutils literal notranslate"><span class="pre">QuantizationMixin</span></code></a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#classes">Classes</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#aimet_torch.v2.quantization.affine.Quantize"><code class="docutils literal notranslate"><span class="pre">Quantize</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#functions">Functions</a></li>
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 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
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-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_compression.html#aimet_torch.visualize_serialized_data.VisualizeCompression"><code class="docutils literal notranslate"><span class="pre">VisualizeCompression</span></code></a><ul>
-<li class="toctree-l6"><a class="reference internal" href="torch_visualization_compression.html#aimet_torch.visualize_serialized_data.VisualizeCompression.display_eval_scores"><code class="docutils literal notranslate"><span class="pre">VisualizeCompression.display_eval_scores()</span></code></a></li>
-<li class="toctree-l6"><a class="reference internal" href="torch_visualization_compression.html#aimet_torch.visualize_serialized_data.VisualizeCompression.display_comp_ratio_plot"><code class="docutils literal notranslate"><span class="pre">VisualizeCompression.display_comp_ratio_plot()</span></code></a></li>
-</ul>
-</li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#top-level-api-compression">Top-level API Compression</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_relative_weight_ranges_to_identify_problematic_layers"><code class="docutils literal notranslate"><span class="pre">visualize_relative_weight_ranges_to_identify_problematic_layers()</span></code></a></li>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_weight_ranges"><code class="docutils literal notranslate"><span class="pre">visualize_weight_ranges()</span></code></a></li>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_changes_after_optimization"><code class="docutils literal notranslate"><span class="pre">visualize_changes_after_optimization()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_layer_output_generation.html">PyTorch Debug API</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.LayerOutputUtil"><code class="docutils literal notranslate"><span class="pre">LayerOutputUtil</span></code></a><ul>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.LayerOutputUtil.generate_layer_outputs"><code class="docutils literal notranslate"><span class="pre">LayerOutputUtil.generate_layer_outputs()</span></code></a></li>
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-</li>
-</ul>
-</li>
-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme"><code class="docutils literal notranslate"><span class="pre">NamingScheme</span></code></a><ul>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme.ONNX"><code class="docutils literal notranslate"><span class="pre">NamingScheme.ONNX</span></code></a></li>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme.PYTORCH"><code class="docutils literal notranslate"><span class="pre">NamingScheme.PYTORCH</span></code></a></li>
-<li class="toctree-l6"><a class="reference internal" href="torch_layer_output_generation.html#aimet_torch.layer_output_utils.NamingScheme.TORCHSCRIPT"><code class="docutils literal notranslate"><span class="pre">NamingScheme.TORCHSCRIPT</span></code></a></li>
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-</li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#code-example">Code Example</a></li>
 </ul>
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diff --git a/releases/1.35.0/api_docs/onnx_quantsim.html b/releases/1.35.0/api_docs/onnx_quantsim.html
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+++ b/releases/1.35.0/api_docs/onnx_quantsim.html
@@ -243,15 +243,9 @@
 <li class="toctree-l4"><a class="reference internal" href="torch_quantization.html#aimet-torch">aimet_torch</a><ul>
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-<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="torch_architecture_checker.html#aimet_torch.arch_checker.arch_checker.ArchChecker.check_model_arch"><code class="docutils literal notranslate"><span class="pre">check_model_arch()</span></code></a></li>
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-</li>
+<li class="toctree-l6"><a class="reference internal" href="torch_architecture_checker.html"> Architecture Checker API</a></li>
 <li class="toctree-l6"><a class="reference internal" href="torch_model_preparer.html"> Model Preparer API</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_model_preparer.html#aimet_torch.model_preparer.prepare_model"><code class="docutils literal notranslate"><span class="pre">prepare_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#code-examples">Code Examples</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_model_preparer.html#limitations-of-torch-fx-symbolic-trace-api">Limitations of torch.fx symbolic trace API</a></li>
 </ul>
@@ -261,23 +255,10 @@
 <li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#user-guide-link">User Guide Link</a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer</span></code></a><ul>
-<li class="toctree-l9"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.enable_per_layer_mse_loss"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.enable_per_layer_mse_loss()</span></code></a></li>
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 <li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_common.utils.CallbackFunc"><code class="docutils literal notranslate"><span class="pre">CallbackFunc</span></code></a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_enabling_quant_wrappers()</span></code></a></li>
-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.perform_per_layer_analysis_by_disabling_quant_wrappers()</span></code></a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quant_analyzer.html#aimet_torch.v1.quant_analyzer.QuantAnalyzer.export_per_layer_stats_histogram"><code class="docutils literal notranslate"><span class="pre">QuantAnalyzer.export_per_layer_stats_histogram()</span></code></a></li>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#run-specific-utility">Run specific utility</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quant_analyzer.html#code-examples">Code Examples</a></li>
 </ul>
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-<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.QuantizationSimModel"><code class="docutils literal notranslate"><span class="pre">QuantizationSimModel</span></code></a><ul>
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-<li class="toctree-l9"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.QuantizationSimModel.export"><code class="docutils literal notranslate"><span class="pre">QuantizationSimModel.export()</span></code></a></li>
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-<li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_torch.v1.quantsim.load_checkpoint"><code class="docutils literal notranslate"><span class="pre">quantsim.load_checkpoint()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#top-level-api">Top-level API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_quantsim.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_quantsim.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
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@@ -312,14 +284,8 @@
 <li class="toctree-l6"><a class="reference internal" href="torch_adaround.html"> Adaptive Rounding API</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#adaround-parameters">Adaround Parameters</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_adaround.html#enum-definition">Enum Definition</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme"><code class="docutils literal notranslate"><span class="pre">QuantScheme</span></code></a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_adaround.html#aimet_common.defs.QuantScheme.post_training_percentile"><code class="docutils literal notranslate"><span class="pre">QuantScheme.post_training_percentile</span></code></a></li>
@@ -338,31 +304,15 @@
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#user-guide-link">User Guide Link</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#examples-notebook-link">Examples Notebook Link</a></li>
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-<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_cross_layer_equalization.html#aimet_torch.cross_layer_equalization.equalize_model"><code class="docutils literal notranslate"><span class="pre">equalize_model()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#cross-layer-equalization-api">Cross Layer Equalization API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#code-example">Code Example</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_cross_layer_equalization.html#primitive-apis">Primitive APIs</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_primitive_apis_cle.html">Primitive APIs for Cross Layer Equalization</a><ul>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#introduction">Introduction</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.cross_layer_equalization.ClsSetInfo"><code class="docutils literal notranslate"><span class="pre">ClsSetInfo</span></code></a></li>
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-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_all_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_all_batch_norms()</span></code></a></li>
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-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
-<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a><ul>
-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#aimet_torch.batch_norm_fold.fold_given_batch_norms"><code class="docutils literal notranslate"><span class="pre">fold_given_batch_norms()</span></code></a></li>
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-<li class="toctree-l10"><a class="reference internal" href="torch_primitive_apis_cle.html#id0"><code class="docutils literal notranslate"><span class="pre">bias_fold()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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@@ -372,10 +322,7 @@
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 <li class="toctree-l6"><a class="reference internal" href="torch_bias_correction.html"> Bias Correction API</a><ul>
 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#user-guide-link">User Guide Link</a></li>
-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="torch_bias_correction.html#aimet_torch.bias_correction.correct_bias"><code class="docutils literal notranslate"><span class="pre">correct_bias()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#bias-correction-api">Bias Correction API</a></li>
 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#convbninfotype">ConvBnInfoType</a><ul>
 <li class="toctree-l8"><a class="reference internal" href="torch_bias_correction.html#aimet_common.bias_correction.ConvBnInfoType"><code class="docutils literal notranslate"><span class="pre">ConvBnInfoType</span></code></a></li>
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@@ -389,10 +336,7 @@
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-<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a><ul>
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-</li>
+<li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#quantization-params">Quantization Params</a></li>
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 <li class="toctree-l7"><a class="reference internal" href="torch_bias_correction.html#code-example-2-analytical-empirical-bias-correction">Code Example #2 Analytical + Empirical Bias correction</a></li>
 </ul>
@@ -400,46 +344,21 @@
 <li class="toctree-l6"><a class="reference internal" href="torch_auto_quant.html"> AutoQuant API</a><ul>
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-<li class="toctree-l8"><a class="reference internal" href="torch_auto_quant.html#aimet_torch.v1.auto_quant.AutoQuant"><code class="docutils literal notranslate"><span class="pre">AutoQuant</span></code></a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_auto_quant.html#top-level-api">Top-level API</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="torch_batchnorm_re_estimation.html"> BN Re-estimation APIs</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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 <li class="toctree-l6"><a class="reference internal" href="../torch_docs/quantizer.html">Quantizers</a><ul>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#functions">Functions</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html#classes">Classes</a></li>
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+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#clssetinfo-definition">ClsSetInfo Definition</a></li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#higher-level-apis-for-cross-layer-equalization">Higher Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-higher-level-apis">Code Examples for Higher Level APIs</a></li>
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-</li>
+<li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#lower-level-apis-for-cross-layer-equalization">Lower Level APIs for Cross Layer Equalization</a></li>
 <li class="toctree-l9"><a class="reference internal" href="torch_primitive_apis_cle.html#code-examples-for-lower-level-apis">Code Examples for Lower Level APIs</a></li>
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+<li class="toctree-l7"><a class="reference internal" href="torch_batchnorm_re_estimation.html#top-level-apis">Top-level APIs</a></li>
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-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#aimet_torch.v2.quantization.affine.quantize_dequantize"><code class="docutils literal notranslate"><span class="pre">quantize_dequantize()</span></code></a></li>
-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#aimet_torch.v2.quantization.affine.dequantize"><code class="docutils literal notranslate"><span class="pre">dequantize()</span></code></a></li>
-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#classes">Classes</a></li>
+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/affine/index.html#functions">Functions</a></li>
 </ul>
 </li>
 <li class="toctree-l6"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html">quantization.float</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html#classes">Classes</a><ul>
-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html#aimet_torch.v2.quantization.float.FloatQuantizeDequantize"><code class="docutils literal notranslate"><span class="pre">FloatQuantizeDequantize</span></code></a></li>
-<li class="toctree-l8"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html#aimet_torch.v2.quantization.float.QuantizeDequantize"><code class="docutils literal notranslate"><span class="pre">QuantizeDequantize</span></code></a></li>
-</ul>
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+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/quantization/float/index.html#classes">Classes</a></li>
 </ul>
 </li>
 <li class="toctree-l6"><a class="reference internal" href="../torch_docs/encoding_analyzer.html">Encoding Analyzers</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/encoding_analyzer.html#aimet_torch.v2.quantization.encoding_analyzer.EncodingAnalyzer"><code class="docutils literal notranslate"><span class="pre">EncodingAnalyzer</span></code></a><ul>
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-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/encoding_analyzer.html#variants">Variants</a><ul>
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-<li class="toctree-l6"><a class="reference internal" href="../torch_docs/api/visualization_tools.html">Visualization Tools</a><ul>
-<li class="toctree-l7"><a class="reference internal" href="../torch_docs/api/visualization_tools.html#aimet_torch.v2.visualization_tools.visualize_stats"><code class="docutils literal notranslate"><span class="pre">visualize_stats()</span></code></a></li>
+<li class="toctree-l7"><a class="reference internal" href="../torch_docs/encoding_analyzer.html#variants">Variants</a></li>
 </ul>
 </li>
+<li class="toctree-l6"><a class="reference internal" href="../torch_docs/api/visualization_tools.html">Visualization Tools</a></li>
 </ul>
 </li>
 </ul>
@@ -557,102 +401,31 @@
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_compress.html">PyTorch Model Compression API</a><ul>
 <li class="toctree-l4"><a class="reference internal" href="torch_compress.html#introduction">Introduction</a></li>
-<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#top-level-api-for-compression">Top-level API for Compression</a><ul>
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-</ul>
-</li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#top-level-api-for-compression">Top-level API for Compression</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_compress.html#greedy-selection-parameters">Greedy Selection Parameters</a><ul>
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-<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#spatial-svd-configuration">Spatial SVD Configuration</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_compress.html#aimet_torch.defs.SpatialSvdParameters"><code class="docutils literal notranslate"><span class="pre">SpatialSvdParameters</span></code></a><ul>
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-<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#weight-svd-configuration">Weight SVD Configuration</a><ul>
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-<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#configuration-definitions">Configuration Definitions</a><ul>
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+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#spatial-svd-configuration">Spatial SVD Configuration</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#weight-svd-configuration">Weight SVD Configuration</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#channel-pruning-configuration">Channel Pruning Configuration</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_compress.html#configuration-definitions">Configuration Definitions</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_compress.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_compression.html">PyTorch Model Visualization API for Compression</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#top-level-api-compression">Top-level API Compression</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_compression.html#aimet_torch.visualize_serialized_data.VisualizeCompression"><code class="docutils literal notranslate"><span class="pre">VisualizeCompression</span></code></a><ul>
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-</ul>
-</li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#top-level-api-compression">Top-level API Compression</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_visualization_compression.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_visualization_quantization.html">PyTorch Model Visualization API for Quantization</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a><ul>
-<li class="toctree-l5"><a class="reference internal" href="torch_visualization_quantization.html#aimet_torch.visualize_model.visualize_relative_weight_ranges_to_identify_problematic_layers"><code class="docutils literal notranslate"><span class="pre">visualize_relative_weight_ranges_to_identify_problematic_layers()</span></code></a></li>
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-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#top-level-api-quantization">Top-level API Quantization</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_visualization_quantization.html#code-examples">Code Examples</a></li>
 </ul>
 </li>
 <li class="toctree-l3"><a class="reference internal" href="torch_layer_output_generation.html">PyTorch Debug API</a><ul>
-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a><ul>
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-</li>
-</ul>
-</li>
-<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a><ul>
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-</ul>
-</li>
-</ul>
-</li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#top-level-api">Top-level API</a></li>
+<li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#enum-definition">Enum Definition</a></li>
 <li class="toctree-l4"><a class="reference internal" href="torch_layer_output_generation.html#code-example">Code Example</a></li>
 </ul>
 </li>
@@ -900,21 +673,7 @@
 <section id="custom-api-for-the-spconv-modules">
 <h2>Custom API for the spconv modules<a class="headerlink" href="#custom-api-for-the-spconv-modules" title="Permalink to this heading"></a></h2>
 <p><strong>The following api can be used to create a sparse tensor given indices and features in dense form</strong></p>
-<dl class="py class">
-<dt class="sig sig-object py" id="aimet_torch.nn.modules.custom.SparseTensorWrapper">
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-<dd><p>Custom SparsetensorWrapper class for SparseConvTensor</p>
-<p>Initialize internal Module state, shared by both nn.Module and ScriptModule.</p>
-</dd></dl>
-
 <p><strong>The following api can be used to create a dense tensor given a sparse tensor</strong></p>
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-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">aimet_torch.nn.modules.custom.</span></span><span class="sig-name descname"><span class="pre">ScatterDense</span></span><a class="reference internal" href="../_modules/aimet_torch/v1/nn/modules/custom.html#ScatterDense"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#aimet_torch.nn.modules.custom.ScatterDense" title="Permalink to this definition"></a></dt>
-<dd><p>ScatterDense custom implementation</p>
-<p>Initialize internal Module state, shared by both nn.Module and ScriptModule.</p>
-</dd></dl>
-
 </section>
 <section id="code-example">
 <h2>Code Example<a class="headerlink" href="#code-example" title="Permalink to this heading"></a></h2>