neodroidvision.utilities.torch\_utilities.layers.torch\_layers.MinMaxNorm
=========================================================================

.. currentmodule:: neodroidvision.utilities.torch_utilities.layers.torch_layers

.. autoclass:: MinMaxNorm
   :members:
   :show-inheritance:
   :inherited-members:

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~MinMaxNorm.__init__
      ~MinMaxNorm.add_module
      ~MinMaxNorm.apply
      ~MinMaxNorm.bfloat16
      ~MinMaxNorm.buffers
      ~MinMaxNorm.children
      ~MinMaxNorm.cpu
      ~MinMaxNorm.cuda
      ~MinMaxNorm.double
      ~MinMaxNorm.eval
      ~MinMaxNorm.extra_repr
      ~MinMaxNorm.float
      ~MinMaxNorm.forward
      ~MinMaxNorm.get_buffer
      ~MinMaxNorm.get_extra_state
      ~MinMaxNorm.get_parameter
      ~MinMaxNorm.get_submodule
      ~MinMaxNorm.half
      ~MinMaxNorm.ipu
      ~MinMaxNorm.load_state_dict
      ~MinMaxNorm.modules
      ~MinMaxNorm.named_buffers
      ~MinMaxNorm.named_children
      ~MinMaxNorm.named_modules
      ~MinMaxNorm.named_parameters
      ~MinMaxNorm.parameters
      ~MinMaxNorm.register_backward_hook
      ~MinMaxNorm.register_buffer
      ~MinMaxNorm.register_forward_hook
      ~MinMaxNorm.register_forward_pre_hook
      ~MinMaxNorm.register_full_backward_hook
      ~MinMaxNorm.register_load_state_dict_post_hook
      ~MinMaxNorm.register_module
      ~MinMaxNorm.register_parameter
      ~MinMaxNorm.requires_grad_
      ~MinMaxNorm.set_extra_state
      ~MinMaxNorm.share_memory
      ~MinMaxNorm.state_dict
      ~MinMaxNorm.to
      ~MinMaxNorm.to_empty
      ~MinMaxNorm.train
      ~MinMaxNorm.type
      ~MinMaxNorm.xpu
      ~MinMaxNorm.zero_grad
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~MinMaxNorm.T_destination
      ~MinMaxNorm.dump_patches
      ~MinMaxNorm.training