dmx.compressor.modeling.nn.torch\_modules.BatchNorm2d
=====================================================

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

.. autoclass:: BatchNorm2d

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~BatchNorm2d.__init__
      ~BatchNorm2d.add_module
      ~BatchNorm2d.align_device
      ~BatchNorm2d.apply
      ~BatchNorm2d.approx_forward
      ~BatchNorm2d.approximator_wrapper
      ~BatchNorm2d.bfloat16
      ~BatchNorm2d.buffers
      ~BatchNorm2d.calibrating_quantizers
      ~BatchNorm2d.calibrating_smoothquant
      ~BatchNorm2d.check_format_dim_consistency
      ~BatchNorm2d.check_input_format_dim_consistency
      ~BatchNorm2d.check_residual_format_dim_consistency
      ~BatchNorm2d.check_sparseness_dim_consistency
      ~BatchNorm2d.check_weight_format_dim_consistency
      ~BatchNorm2d.children
      ~BatchNorm2d.compile
      ~BatchNorm2d.configure
      ~BatchNorm2d.count_flops
      ~BatchNorm2d.counting_flops
      ~BatchNorm2d.cpu
      ~BatchNorm2d.cuda
      ~BatchNorm2d.dmx_config
      ~BatchNorm2d.double
      ~BatchNorm2d.enable_approximation_function_tuning
      ~BatchNorm2d.enable_flop_counter
      ~BatchNorm2d.enable_optimal_brain_compression
      ~BatchNorm2d.enable_quantizer_calib
      ~BatchNorm2d.enable_smoothquant_calib
      ~BatchNorm2d.eval
      ~BatchNorm2d.extra_repr
      ~BatchNorm2d.float
      ~BatchNorm2d.fold_weight_and_bias
      ~BatchNorm2d.forward
      ~BatchNorm2d.from_raw
      ~BatchNorm2d.get_buffer
      ~BatchNorm2d.get_extra_state
      ~BatchNorm2d.get_parameter
      ~BatchNorm2d.get_submodule
      ~BatchNorm2d.half
      ~BatchNorm2d.infer_ch_axis
      ~BatchNorm2d.init_casts
      ~BatchNorm2d.init_smoothquant
      ~BatchNorm2d.init_sparsifier
      ~BatchNorm2d.ipu
      ~BatchNorm2d.load_state_dict
      ~BatchNorm2d.load_state_dict_and_register_url
      ~BatchNorm2d.measuring_runtime
      ~BatchNorm2d.modules
      ~BatchNorm2d.monitoring
      ~BatchNorm2d.mtia
      ~BatchNorm2d.named_buffers
      ~BatchNorm2d.named_children
      ~BatchNorm2d.named_modules
      ~BatchNorm2d.named_parameters
      ~BatchNorm2d.optimal_brain_compressing
      ~BatchNorm2d.parameters
      ~BatchNorm2d.register_backward_hook
      ~BatchNorm2d.register_buffer
      ~BatchNorm2d.register_forward_hook
      ~BatchNorm2d.register_forward_pre_hook
      ~BatchNorm2d.register_full_backward_hook
      ~BatchNorm2d.register_full_backward_pre_hook
      ~BatchNorm2d.register_load_state_dict_post_hook
      ~BatchNorm2d.register_load_state_dict_pre_hook
      ~BatchNorm2d.register_module
      ~BatchNorm2d.register_parameter
      ~BatchNorm2d.register_state_dict_post_hook
      ~BatchNorm2d.register_state_dict_pre_hook
      ~BatchNorm2d.requires_grad_
      ~BatchNorm2d.reset_parameters
      ~BatchNorm2d.reset_running_stats
      ~BatchNorm2d.save_state_dict_and_register_url
      ~BatchNorm2d.set_extra_state
      ~BatchNorm2d.set_submodule
      ~BatchNorm2d.share_memory
      ~BatchNorm2d.slanc_tuning
      ~BatchNorm2d.state_dict
      ~BatchNorm2d.to
      ~BatchNorm2d.to_compiler_graph
      ~BatchNorm2d.to_empty
      ~BatchNorm2d.train
      ~BatchNorm2d.transform
      ~BatchNorm2d.tuning_approximation_function
      ~BatchNorm2d.type
      ~BatchNorm2d.update_params_with_raw
      ~BatchNorm2d.update_smoothquant_scale
      ~BatchNorm2d.xpu
      ~BatchNorm2d.zero_flop_counter
      ~BatchNorm2d.zero_grad
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~BatchNorm2d.T_destination
      ~BatchNorm2d.accum_format
      ~BatchNorm2d.approximation_function
      ~BatchNorm2d.bias_format
      ~BatchNorm2d.bops
      ~BatchNorm2d.call_super_init
      ~BatchNorm2d.dump_patches
      ~BatchNorm2d.effective_weight
      ~BatchNorm2d.flop_counter
      ~BatchNorm2d.flop_counter_enabled
      ~BatchNorm2d.flops
      ~BatchNorm2d.functional_forward
      ~BatchNorm2d.input_formats
      ~BatchNorm2d.input_precision
      ~BatchNorm2d.is_compound
      ~BatchNorm2d.last_input_shape
      ~BatchNorm2d.last_output_shape
      ~BatchNorm2d.multiplier_format
      ~BatchNorm2d.output_formats
      ~BatchNorm2d.plugins
      ~BatchNorm2d.residual_format
      ~BatchNorm2d.weight_elem_count
      ~BatchNorm2d.weight_format
      ~BatchNorm2d.weight_hypernet
      ~BatchNorm2d.weight_precision
      ~BatchNorm2d.weight_scale
      ~BatchNorm2d.weight_size_in_bytes
      ~BatchNorm2d.weight_sparseness
      ~BatchNorm2d.weight_storage_format
      ~BatchNorm2d.weight_storage_precision
      ~BatchNorm2d.weight_storage_scale
      ~BatchNorm2d.weight_storage_zero_point
      ~BatchNorm2d.weight_zero_point
      ~BatchNorm2d.num_features
      ~BatchNorm2d.eps
      ~BatchNorm2d.momentum
      ~BatchNorm2d.affine
      ~BatchNorm2d.track_running_stats
      ~BatchNorm2d.training