dmx.compressor.modeling.nn.experimental.Conv2dUnfold
====================================================

.. currentmodule:: dmx.compressor.modeling.nn.experimental

.. autoclass:: Conv2dUnfold

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~Conv2dUnfold.__init__
      ~Conv2dUnfold.add_module
      ~Conv2dUnfold.align_device
      ~Conv2dUnfold.apply
      ~Conv2dUnfold.approx_forward
      ~Conv2dUnfold.approximator_wrapper
      ~Conv2dUnfold.bfloat16
      ~Conv2dUnfold.buffers
      ~Conv2dUnfold.calibrating_quantizers
      ~Conv2dUnfold.calibrating_smoothquant
      ~Conv2dUnfold.check_format_dim_consistency
      ~Conv2dUnfold.check_input_format_dim_consistency
      ~Conv2dUnfold.check_residual_format_dim_consistency
      ~Conv2dUnfold.check_sparseness_dim_consistency
      ~Conv2dUnfold.check_weight_format_dim_consistency
      ~Conv2dUnfold.children
      ~Conv2dUnfold.compile
      ~Conv2dUnfold.configure
      ~Conv2dUnfold.count_flops
      ~Conv2dUnfold.counting_flops
      ~Conv2dUnfold.cpu
      ~Conv2dUnfold.cuda
      ~Conv2dUnfold.dmx_config
      ~Conv2dUnfold.double
      ~Conv2dUnfold.enable_approximation_function_tuning
      ~Conv2dUnfold.enable_flop_counter
      ~Conv2dUnfold.enable_optimal_brain_compression
      ~Conv2dUnfold.enable_quantizer_calib
      ~Conv2dUnfold.enable_smoothquant_calib
      ~Conv2dUnfold.eval
      ~Conv2dUnfold.extra_repr
      ~Conv2dUnfold.float
      ~Conv2dUnfold.fold_weight_and_bias
      ~Conv2dUnfold.forward
      ~Conv2dUnfold.from_raw
      ~Conv2dUnfold.get_buffer
      ~Conv2dUnfold.get_extra_state
      ~Conv2dUnfold.get_parameter
      ~Conv2dUnfold.get_submodule
      ~Conv2dUnfold.half
      ~Conv2dUnfold.infer_ch_axis
      ~Conv2dUnfold.init_casts
      ~Conv2dUnfold.init_smoothquant
      ~Conv2dUnfold.init_sparsifier
      ~Conv2dUnfold.ipu
      ~Conv2dUnfold.load_state_dict
      ~Conv2dUnfold.load_state_dict_and_register_url
      ~Conv2dUnfold.measuring_runtime
      ~Conv2dUnfold.modules
      ~Conv2dUnfold.monitoring
      ~Conv2dUnfold.mtia
      ~Conv2dUnfold.named_buffers
      ~Conv2dUnfold.named_children
      ~Conv2dUnfold.named_modules
      ~Conv2dUnfold.named_parameters
      ~Conv2dUnfold.optimal_brain_compressing
      ~Conv2dUnfold.parameters
      ~Conv2dUnfold.register_backward_hook
      ~Conv2dUnfold.register_buffer
      ~Conv2dUnfold.register_forward_hook
      ~Conv2dUnfold.register_forward_pre_hook
      ~Conv2dUnfold.register_full_backward_hook
      ~Conv2dUnfold.register_full_backward_pre_hook
      ~Conv2dUnfold.register_load_state_dict_post_hook
      ~Conv2dUnfold.register_load_state_dict_pre_hook
      ~Conv2dUnfold.register_module
      ~Conv2dUnfold.register_parameter
      ~Conv2dUnfold.register_state_dict_post_hook
      ~Conv2dUnfold.register_state_dict_pre_hook
      ~Conv2dUnfold.requires_grad_
      ~Conv2dUnfold.reset_parameters
      ~Conv2dUnfold.save_state_dict_and_register_url
      ~Conv2dUnfold.set_extra_state
      ~Conv2dUnfold.set_submodule
      ~Conv2dUnfold.share_memory
      ~Conv2dUnfold.slanc_tuning
      ~Conv2dUnfold.state_dict
      ~Conv2dUnfold.to
      ~Conv2dUnfold.to_compiler_graph
      ~Conv2dUnfold.to_empty
      ~Conv2dUnfold.train
      ~Conv2dUnfold.transform
      ~Conv2dUnfold.tuning_approximation_function
      ~Conv2dUnfold.type
      ~Conv2dUnfold.update_params_with_raw
      ~Conv2dUnfold.update_smoothquant_scale
      ~Conv2dUnfold.xpu
      ~Conv2dUnfold.zero_flop_counter
      ~Conv2dUnfold.zero_grad
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~Conv2dUnfold.T_destination
      ~Conv2dUnfold.accum_format
      ~Conv2dUnfold.approximation_function
      ~Conv2dUnfold.bias_format
      ~Conv2dUnfold.bops
      ~Conv2dUnfold.call_super_init
      ~Conv2dUnfold.dump_patches
      ~Conv2dUnfold.effective_weight
      ~Conv2dUnfold.flop_counter
      ~Conv2dUnfold.flop_counter_enabled
      ~Conv2dUnfold.flops
      ~Conv2dUnfold.functional_forward
      ~Conv2dUnfold.input_formats
      ~Conv2dUnfold.input_precision
      ~Conv2dUnfold.is_compound
      ~Conv2dUnfold.last_input_shape
      ~Conv2dUnfold.last_output_shape
      ~Conv2dUnfold.multiplier_format
      ~Conv2dUnfold.output_formats
      ~Conv2dUnfold.plugins
      ~Conv2dUnfold.residual_format
      ~Conv2dUnfold.weight_elem_count
      ~Conv2dUnfold.weight_format
      ~Conv2dUnfold.weight_hypernet
      ~Conv2dUnfold.weight_precision
      ~Conv2dUnfold.weight_scale
      ~Conv2dUnfold.weight_size_in_bytes
      ~Conv2dUnfold.weight_sparseness
      ~Conv2dUnfold.weight_storage_format
      ~Conv2dUnfold.weight_storage_precision
      ~Conv2dUnfold.weight_storage_scale
      ~Conv2dUnfold.weight_storage_zero_point
      ~Conv2dUnfold.weight_zero_point
      ~Conv2dUnfold.bias
      ~Conv2dUnfold.in_channels
      ~Conv2dUnfold.out_channels
      ~Conv2dUnfold.kernel_size
      ~Conv2dUnfold.stride
      ~Conv2dUnfold.padding
      ~Conv2dUnfold.dilation
      ~Conv2dUnfold.transposed
      ~Conv2dUnfold.output_padding
      ~Conv2dUnfold.groups
      ~Conv2dUnfold.padding_mode
      ~Conv2dUnfold.weight
      ~Conv2dUnfold.training