pytorch\_forecasting.metrics.distributions.MultivariateNormalDistributionLoss
=============================================================================

.. currentmodule:: pytorch_forecasting.metrics.distributions

.. autoclass:: MultivariateNormalDistributionLoss

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~MultivariateNormalDistributionLoss.__abs__
      ~MultivariateNormalDistributionLoss.__add__
      ~MultivariateNormalDistributionLoss.__and__
      ~MultivariateNormalDistributionLoss.__call__
      ~MultivariateNormalDistributionLoss.__delattr__
      ~MultivariateNormalDistributionLoss.__dir__
      ~MultivariateNormalDistributionLoss.__eq__
      ~MultivariateNormalDistributionLoss.__floordiv__
      ~MultivariateNormalDistributionLoss.__format__
      ~MultivariateNormalDistributionLoss.__ge__
      ~MultivariateNormalDistributionLoss.__getattr__
      ~MultivariateNormalDistributionLoss.__getattribute__
      ~MultivariateNormalDistributionLoss.__getitem__
      ~MultivariateNormalDistributionLoss.__getnewargs__
      ~MultivariateNormalDistributionLoss.__getstate__
      ~MultivariateNormalDistributionLoss.__gt__
      ~MultivariateNormalDistributionLoss.__hash__
      ~MultivariateNormalDistributionLoss.__init_subclass__
      ~MultivariateNormalDistributionLoss.__inv__
      ~MultivariateNormalDistributionLoss.__invert__
      ~MultivariateNormalDistributionLoss.__le__
      ~MultivariateNormalDistributionLoss.__lt__
      ~MultivariateNormalDistributionLoss.__matmul__
      ~MultivariateNormalDistributionLoss.__mod__
      ~MultivariateNormalDistributionLoss.__mul__
      ~MultivariateNormalDistributionLoss.__ne__
      ~MultivariateNormalDistributionLoss.__neg__
      ~MultivariateNormalDistributionLoss.__new__
      ~MultivariateNormalDistributionLoss.__or__
      ~MultivariateNormalDistributionLoss.__pos__
      ~MultivariateNormalDistributionLoss.__pow__
      ~MultivariateNormalDistributionLoss.__radd__
      ~MultivariateNormalDistributionLoss.__rand__
      ~MultivariateNormalDistributionLoss.__reduce__
      ~MultivariateNormalDistributionLoss.__reduce_ex__
      ~MultivariateNormalDistributionLoss.__repr__
      ~MultivariateNormalDistributionLoss.__rfloordiv__
      ~MultivariateNormalDistributionLoss.__rmatmul__
      ~MultivariateNormalDistributionLoss.__rmod__
      ~MultivariateNormalDistributionLoss.__rmul__
      ~MultivariateNormalDistributionLoss.__ror__
      ~MultivariateNormalDistributionLoss.__rpow__
      ~MultivariateNormalDistributionLoss.__rsub__
      ~MultivariateNormalDistributionLoss.__rtruediv__
      ~MultivariateNormalDistributionLoss.__rxor__
      ~MultivariateNormalDistributionLoss.__setattr__
      ~MultivariateNormalDistributionLoss.__setstate__
      ~MultivariateNormalDistributionLoss.__sizeof__
      ~MultivariateNormalDistributionLoss.__str__
      ~MultivariateNormalDistributionLoss.__sub__
      ~MultivariateNormalDistributionLoss.__subclasshook__
      ~MultivariateNormalDistributionLoss.__truediv__
      ~MultivariateNormalDistributionLoss.__xor__
      ~MultivariateNormalDistributionLoss._apply
      ~MultivariateNormalDistributionLoss._call_impl
      ~MultivariateNormalDistributionLoss._copy_state_dict
      ~MultivariateNormalDistributionLoss._filter_kwargs
      ~MultivariateNormalDistributionLoss._forward_full_state_update
      ~MultivariateNormalDistributionLoss._forward_reduce_state_update
      ~MultivariateNormalDistributionLoss._get_backward_hooks
      ~MultivariateNormalDistributionLoss._get_backward_pre_hooks
      ~MultivariateNormalDistributionLoss._get_name
      ~MultivariateNormalDistributionLoss._load_from_state_dict
      ~MultivariateNormalDistributionLoss._maybe_warn_non_full_backward_hook
      ~MultivariateNormalDistributionLoss._move_list_states_to_cpu
      ~MultivariateNormalDistributionLoss._named_members
      ~MultivariateNormalDistributionLoss._plot
      ~MultivariateNormalDistributionLoss._reduce_states
      ~MultivariateNormalDistributionLoss._register_load_state_dict_pre_hook
      ~MultivariateNormalDistributionLoss._register_state_dict_hook
      ~MultivariateNormalDistributionLoss._replicate_for_data_parallel
      ~MultivariateNormalDistributionLoss._save_to_state_dict
      ~MultivariateNormalDistributionLoss._slow_forward
      ~MultivariateNormalDistributionLoss._sync_dist
      ~MultivariateNormalDistributionLoss._update_losses_and_lengths
      ~MultivariateNormalDistributionLoss._wrap_compute
      ~MultivariateNormalDistributionLoss._wrap_update
      ~MultivariateNormalDistributionLoss._wrapped_call_impl
      ~MultivariateNormalDistributionLoss.add_module
      ~MultivariateNormalDistributionLoss.add_state
      ~MultivariateNormalDistributionLoss.apply
      ~MultivariateNormalDistributionLoss.bfloat16
      ~MultivariateNormalDistributionLoss.buffers
      ~MultivariateNormalDistributionLoss.children
      ~MultivariateNormalDistributionLoss.clone
      ~MultivariateNormalDistributionLoss.compile
      ~MultivariateNormalDistributionLoss.compute
      ~MultivariateNormalDistributionLoss.cpu
      ~MultivariateNormalDistributionLoss.cuda
      ~MultivariateNormalDistributionLoss.double
      ~MultivariateNormalDistributionLoss.eval
      ~MultivariateNormalDistributionLoss.extra_repr
      ~MultivariateNormalDistributionLoss.float
      ~MultivariateNormalDistributionLoss.forward
      ~MultivariateNormalDistributionLoss.get_buffer
      ~MultivariateNormalDistributionLoss.get_extra_state
      ~MultivariateNormalDistributionLoss.get_parameter
      ~MultivariateNormalDistributionLoss.get_submodule
      ~MultivariateNormalDistributionLoss.half
      ~MultivariateNormalDistributionLoss.ipu
      ~MultivariateNormalDistributionLoss.load_state_dict
      ~MultivariateNormalDistributionLoss.loss
      ~MultivariateNormalDistributionLoss.map_x_to_distribution
      ~MultivariateNormalDistributionLoss.mask_losses
      ~MultivariateNormalDistributionLoss.merge_state
      ~MultivariateNormalDistributionLoss.modules
      ~MultivariateNormalDistributionLoss.mtia
      ~MultivariateNormalDistributionLoss.named_buffers
      ~MultivariateNormalDistributionLoss.named_children
      ~MultivariateNormalDistributionLoss.named_modules
      ~MultivariateNormalDistributionLoss.named_parameters
      ~MultivariateNormalDistributionLoss.parameters
      ~MultivariateNormalDistributionLoss.persistent
      ~MultivariateNormalDistributionLoss.plot
      ~MultivariateNormalDistributionLoss.reduce_loss
      ~MultivariateNormalDistributionLoss.register_backward_hook
      ~MultivariateNormalDistributionLoss.register_buffer
      ~MultivariateNormalDistributionLoss.register_forward_hook
      ~MultivariateNormalDistributionLoss.register_forward_pre_hook
      ~MultivariateNormalDistributionLoss.register_full_backward_hook
      ~MultivariateNormalDistributionLoss.register_full_backward_pre_hook
      ~MultivariateNormalDistributionLoss.register_load_state_dict_post_hook
      ~MultivariateNormalDistributionLoss.register_load_state_dict_pre_hook
      ~MultivariateNormalDistributionLoss.register_module
      ~MultivariateNormalDistributionLoss.register_parameter
      ~MultivariateNormalDistributionLoss.register_state_dict_post_hook
      ~MultivariateNormalDistributionLoss.register_state_dict_pre_hook
      ~MultivariateNormalDistributionLoss.requires_grad_
      ~MultivariateNormalDistributionLoss.rescale_parameters
      ~MultivariateNormalDistributionLoss.reset
      ~MultivariateNormalDistributionLoss.sample
      ~MultivariateNormalDistributionLoss.set_dtype
      ~MultivariateNormalDistributionLoss.set_extra_state
      ~MultivariateNormalDistributionLoss.set_submodule
      ~MultivariateNormalDistributionLoss.share_memory
      ~MultivariateNormalDistributionLoss.state_dict
      ~MultivariateNormalDistributionLoss.sync
      ~MultivariateNormalDistributionLoss.sync_context
      ~MultivariateNormalDistributionLoss.to
      ~MultivariateNormalDistributionLoss.to_empty
      ~MultivariateNormalDistributionLoss.to_prediction
      ~MultivariateNormalDistributionLoss.to_quantiles
      ~MultivariateNormalDistributionLoss.train
      ~MultivariateNormalDistributionLoss.type
      ~MultivariateNormalDistributionLoss.unsync
      ~MultivariateNormalDistributionLoss.update
      ~MultivariateNormalDistributionLoss.xpu
      ~MultivariateNormalDistributionLoss.zero_grad
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~MultivariateNormalDistributionLoss.T_destination
      ~MultivariateNormalDistributionLoss.__abstractmethods__
      ~MultivariateNormalDistributionLoss.__annotations__
      ~MultivariateNormalDistributionLoss.__dict__
      ~MultivariateNormalDistributionLoss.__doc__
      ~MultivariateNormalDistributionLoss.__iter__
      ~MultivariateNormalDistributionLoss.__jit_ignored_attributes__
      ~MultivariateNormalDistributionLoss.__jit_unused_properties__
      ~MultivariateNormalDistributionLoss.__module__
      ~MultivariateNormalDistributionLoss.__slots__
      ~MultivariateNormalDistributionLoss.__weakref__
      ~MultivariateNormalDistributionLoss._abc_impl
      ~MultivariateNormalDistributionLoss._compiled_call_impl
      ~MultivariateNormalDistributionLoss._update_called
      ~MultivariateNormalDistributionLoss._version
      ~MultivariateNormalDistributionLoss.call_super_init
      ~MultivariateNormalDistributionLoss.device
      ~MultivariateNormalDistributionLoss.dtype
      ~MultivariateNormalDistributionLoss.dump_patches
      ~MultivariateNormalDistributionLoss.full_state_update
      ~MultivariateNormalDistributionLoss.higher_is_better
      ~MultivariateNormalDistributionLoss.is_differentiable
      ~MultivariateNormalDistributionLoss.metric_state
      ~MultivariateNormalDistributionLoss.plot_legend_name
      ~MultivariateNormalDistributionLoss.plot_lower_bound
      ~MultivariateNormalDistributionLoss.plot_upper_bound
      ~MultivariateNormalDistributionLoss.update_called
      ~MultivariateNormalDistributionLoss.update_count
      ~MultivariateNormalDistributionLoss.distribution_arguments
      ~MultivariateNormalDistributionLoss.training
      ~MultivariateNormalDistributionLoss._parameters
      ~MultivariateNormalDistributionLoss._buffers
      ~MultivariateNormalDistributionLoss._non_persistent_buffers_set
      ~MultivariateNormalDistributionLoss._backward_pre_hooks
      ~MultivariateNormalDistributionLoss._backward_hooks
      ~MultivariateNormalDistributionLoss._is_full_backward_hook
      ~MultivariateNormalDistributionLoss._forward_hooks
      ~MultivariateNormalDistributionLoss._forward_hooks_with_kwargs
      ~MultivariateNormalDistributionLoss._forward_hooks_always_called
      ~MultivariateNormalDistributionLoss._forward_pre_hooks
      ~MultivariateNormalDistributionLoss._forward_pre_hooks_with_kwargs
      ~MultivariateNormalDistributionLoss._state_dict_hooks
      ~MultivariateNormalDistributionLoss._load_state_dict_pre_hooks
      ~MultivariateNormalDistributionLoss._state_dict_pre_hooks
      ~MultivariateNormalDistributionLoss._load_state_dict_post_hooks
      ~MultivariateNormalDistributionLoss._modules