dmx.compressor.modeling.nn.torch\_modules.LayerNorm
===================================================

.. currentmodule:: dmx.compressor.modeling.nn.torch_modules

.. autoclass:: LayerNorm

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~LayerNorm.__init__
      ~LayerNorm.add_module
      ~LayerNorm.align_device
      ~LayerNorm.apply
      ~LayerNorm.approx_forward
      ~LayerNorm.approximator_wrapper
      ~LayerNorm.bfloat16
      ~LayerNorm.buffers
      ~LayerNorm.calibrating_quantizers
      ~LayerNorm.calibrating_smoothquant
      ~LayerNorm.check_format_dim_consistency
      ~LayerNorm.check_input_format_dim_consistency
      ~LayerNorm.check_residual_format_dim_consistency
      ~LayerNorm.check_sparseness_dim_consistency
      ~LayerNorm.check_weight_format_dim_consistency
      ~LayerNorm.children
      ~LayerNorm.compile
      ~LayerNorm.configure
      ~LayerNorm.count_flops
      ~LayerNorm.counting_flops
      ~LayerNorm.cpu
      ~LayerNorm.cuda
      ~LayerNorm.dmx_config
      ~LayerNorm.double
      ~LayerNorm.enable_approximation_function_tuning
      ~LayerNorm.enable_flop_counter
      ~LayerNorm.enable_optimal_brain_compression
      ~LayerNorm.enable_quantizer_calib
      ~LayerNorm.enable_smoothquant_calib
      ~LayerNorm.eval
      ~LayerNorm.extra_repr
      ~LayerNorm.float
      ~LayerNorm.fold_weight_and_bias
      ~LayerNorm.forward
      ~LayerNorm.from_raw
      ~LayerNorm.get_buffer
      ~LayerNorm.get_extra_state
      ~LayerNorm.get_parameter
      ~LayerNorm.get_submodule
      ~LayerNorm.half
      ~LayerNorm.infer_ch_axis
      ~LayerNorm.init_casts
      ~LayerNorm.init_smoothquant
      ~LayerNorm.init_sparsifier
      ~LayerNorm.ipu
      ~LayerNorm.load_state_dict
      ~LayerNorm.load_state_dict_and_register_url
      ~LayerNorm.measuring_runtime
      ~LayerNorm.modules
      ~LayerNorm.monitoring
      ~LayerNorm.mtia
      ~LayerNorm.named_buffers
      ~LayerNorm.named_children
      ~LayerNorm.named_modules
      ~LayerNorm.named_parameters
      ~LayerNorm.optimal_brain_compressing
      ~LayerNorm.parameters
      ~LayerNorm.register_backward_hook
      ~LayerNorm.register_buffer
      ~LayerNorm.register_forward_hook
      ~LayerNorm.register_forward_pre_hook
      ~LayerNorm.register_full_backward_hook
      ~LayerNorm.register_full_backward_pre_hook
      ~LayerNorm.register_load_state_dict_post_hook
      ~LayerNorm.register_load_state_dict_pre_hook
      ~LayerNorm.register_module
      ~LayerNorm.register_parameter
      ~LayerNorm.register_state_dict_post_hook
      ~LayerNorm.register_state_dict_pre_hook
      ~LayerNorm.requires_grad_
      ~LayerNorm.reset_parameters
      ~LayerNorm.save_state_dict_and_register_url
      ~LayerNorm.set_extra_state
      ~LayerNorm.set_submodule
      ~LayerNorm.share_memory
      ~LayerNorm.slanc_tuning
      ~LayerNorm.state_dict
      ~LayerNorm.to
      ~LayerNorm.to_compiler_graph
      ~LayerNorm.to_empty
      ~LayerNorm.train
      ~LayerNorm.transform
      ~LayerNorm.tuning_approximation_function
      ~LayerNorm.type
      ~LayerNorm.update_params_with_raw
      ~LayerNorm.update_smoothquant_scale
      ~LayerNorm.xpu
      ~LayerNorm.zero_flop_counter
      ~LayerNorm.zero_grad
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~LayerNorm.T_destination
      ~LayerNorm.accum_format
      ~LayerNorm.approximation_function
      ~LayerNorm.bias_format
      ~LayerNorm.bops
      ~LayerNorm.call_super_init
      ~LayerNorm.dump_patches
      ~LayerNorm.effective_weight
      ~LayerNorm.flop_counter
      ~LayerNorm.flop_counter_enabled
      ~LayerNorm.flops
      ~LayerNorm.functional_forward
      ~LayerNorm.input_formats
      ~LayerNorm.input_precision
      ~LayerNorm.is_compound
      ~LayerNorm.last_input_shape
      ~LayerNorm.last_output_shape
      ~LayerNorm.multiplier_format
      ~LayerNorm.output_formats
      ~LayerNorm.plugins
      ~LayerNorm.residual_format
      ~LayerNorm.weight_elem_count
      ~LayerNorm.weight_format
      ~LayerNorm.weight_hypernet
      ~LayerNorm.weight_precision
      ~LayerNorm.weight_scale
      ~LayerNorm.weight_size_in_bytes
      ~LayerNorm.weight_sparseness
      ~LayerNorm.weight_storage_format
      ~LayerNorm.weight_storage_precision
      ~LayerNorm.weight_storage_scale
      ~LayerNorm.weight_storage_zero_point
      ~LayerNorm.weight_zero_point
      ~LayerNorm.normalized_shape
      ~LayerNorm.eps
      ~LayerNorm.elementwise_affine
      ~LayerNorm.training