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diff --git a/latest/_sources/autoapi/neural_compressor/torch/utils/utility/index.rst.txt b/latest/_sources/autoapi/neural_compressor/torch/utils/utility/index.rst.txt
@@ -14,6 +14,7 @@ Functions
 
 .. autoapisummary::
 
+   neural_compressor.torch.utils.utility.is_optimum_habana_available
    neural_compressor.torch.utils.utility.register_algo
    neural_compressor.torch.utils.utility.fetch_module
    neural_compressor.torch.utils.utility.set_module
@@ -26,11 +27,32 @@ Functions
    neural_compressor.torch.utils.utility.get_processor_type_from_user_config
    neural_compressor.torch.utils.utility.dowload_hf_model
    neural_compressor.torch.utils.utility.load_empty_model
+   neural_compressor.torch.utils.utility.get_module
+   neural_compressor.torch.utils.utility.get_layer_names_in_block
+   neural_compressor.torch.utils.utility.to_dtype
+   neural_compressor.torch.utils.utility.to_device
+   neural_compressor.torch.utils.utility.get_block_names
+   neural_compressor.torch.utils.utility.validate_modules
+   neural_compressor.torch.utils.utility.get_multimodal_block_names
+   neural_compressor.torch.utils.utility.detect_device
+   neural_compressor.torch.utils.utility.run_fn_for_vlm_autoround
 
 
 Module Contents
 ---------------
 
+.. py:function:: is_optimum_habana_available()
+
+   Checks if the Optimum Habana module is available for use with the transformers library.
+
+   This function checks two conditions:
+   1. If the `optimum` package is available using `transformers.utils.import_utils.is_optimum_available`.
+   2. If the `optimum.habana` module can be found using `importlib.util.find_spec`.
+
+   :returns: True if Optimum Habana is available, False otherwise.
+   :rtype: bool
+
+
 .. py:function:: register_algo(name)
 
    Decorator function to register algorithms in the algos_mapping dictionary.
@@ -167,3 +189,110 @@ Module Contents
    Load a empty model.
 
 
+.. py:function:: get_module(module, key)
+
+   Get module from model by key name.
+
+   :param module: original model
+   :type module: torch.nn.Module
+   :param key: module name to be replaced
+   :type key: str
+
+
+.. py:function:: get_layer_names_in_block(model, supported_types=[torch.nn.Linear, transformers.modeling_utils.Conv1D], quant_block_list=None)
+
+   Retrieves the names of layers within each block of the model.
+
+   :returns:
+
+             A list of strings, where each string is the name of a layer
+                   within a block of the model.
+   :rtype: list
+
+
+.. py:function:: to_dtype(input, dtype=torch.float32)
+
+   Moves input data to the specified data type.
+
+   Args:
+   input: The input data to be moved.
+   dtype: The target data type.
+
+   Returns:
+   The input data on the specified data type.
+
+
+.. py:function:: to_device(input, device=torch.device('cpu'))
+
+   Moves input data to the specified device.
+
+   Args:
+   input: The input data to be moved.
+   device: The target device.
+
+   Returns:
+   The input data on the specified device.
+
+
+.. py:function:: get_block_names(model)
+
+   Get the block names for transformers-like networks.
+
+   Args:
+   model: The model.
+
+   Returns:
+   block_names: A list whose elements are list of block's layer names
+
+
+.. py:function:: validate_modules(module_names)
+
+   Test a list of modules' validity.
+
+   Args:
+   modules (list of str): List of strings to be validated.
+
+   Returns:
+   bool: True if all modules have equal length or not dependent, otherwise False.
+
+
+.. py:function:: get_multimodal_block_names(model, quant_vision=False)
+
+   Get the multimodal model block names for transformers-like networks.
+
+   Args:
+   model: The model.
+
+   Returns:
+   block_names: A list whose elements are list of block's layer names
+
+
+.. py:function:: detect_device(device=None)
+
+   Detects the device to use for model execution (GPU, HPU, or CPU).
+
+   :param device:
+                  - If a string ('cuda', 'cpu', or 'hpu') or torch.device is provided, that device is selected.
+                  - If an integer is provided, it treats it as a GPU device index.
+                  - If None or 'auto', it automatically selects 'cuda' if available, 'hpu' if Habana is available,
+                    or falls back to 'cpu'.
+   :type device: str, int, torch.device, optional
+
+   :returns: The selected device in string format ('cuda:X', 'hpu', or 'cpu').
+   :rtype: str
+
+
+.. py:function:: run_fn_for_vlm_autoround(model, dataloader, seqlen=512, nsamples=512)
+
+   Runs a model on a provided dataset with automatic device detection for vector-language models.
+
+   :param model: The model to run.
+   :param dataloader: A PyTorch dataloader providing the input data for the model.
+   :param seqlen: The minimum sequence length of input data to process. Defaults to 512.
+   :type seqlen: int, optional
+   :param nsamples: The number of samples to process before stopping. Defaults to 512.
+   :type nsamples: int, optional
+
+   :returns: None
+
+
diff --git a/latest/autoapi/neural_compressor/adaptor/mxnet_utils/index.html b/latest/autoapi/neural_compressor/adaptor/mxnet_utils/index.html
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     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
     provided by <a href="https://readthedocs.org">Read the Docs</a>.
-   <jinja2.runtime.BlockReference object at 0x7f06bb7edbd0> 
+   <jinja2.runtime.BlockReference object at 0x7f95bb8af040> 
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diff --git a/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/norm/index.html b/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/norm/index.html
@@ -134,7 +134,7 @@ <h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
     provided by <a href="https://readthedocs.org">Read the Docs</a>.
-   <jinja2.runtime.BlockReference object at 0x7f06bb7ee800> 
+   <jinja2.runtime.BlockReference object at 0x7f95bbbca290> 
   <p></p><div><a href='https://www.intel.com/content/www/us/en/privacy/intel-cookie-notice.html' data-cookie-notice='true'>Cookies</a> <a href='https://www.intel.com/content/www/us/en/privacy/intel-privacy-notice.html'>| Privacy</a></div>
 
 

diff --git a/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/ops/index.html b/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/ops/index.html
@@ -159,7 +159,7 @@ <h2>Module Contents<a class="headerlink" href="#module-contents" title="Link to
   Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
     <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
     provided by <a href="https://readthedocs.org">Read the Docs</a>.
-   <jinja2.runtime.BlockReference object at 0x7f06c3489000> 
+   <jinja2.runtime.BlockReference object at 0x7f95bbbc8d30> 
   <p></p><div><a href='https://www.intel.com/content/www/us/en/privacy/intel-cookie-notice.html' data-cookie-notice='true'>Cookies</a> <a href='https://www.intel.com/content/www/us/en/privacy/intel-privacy-notice.html'>| Privacy</a></div>