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torch.autograd.function.NestedIOFunction Class Reference
Inheritance diagram for torch.autograd.function.NestedIOFunction:
torch.autograd.function.Function torch.autograd.function.FunctionMeta torch.autograd.function._ContextMethodMixin torch.autograd.function._HookMixin

Public Member Functions

def backward (self, gradients)
 
def forward (self, args)
 
def save_for_backward (self, args)
 
def saved_tensors (self)
 
def mark_dirty (self, args, kwargs)
 
def mark_non_differentiable (self, args, kwargs)
 
def forward_extended (self, input)
 
def backward_extended (self, grad_output)
 
- Public Member Functions inherited from torch.autograd.function.FunctionMeta
def __init__ (cls, name, bases, attrs)
 
- Public Member Functions inherited from torch.autograd.function._ContextMethodMixin
def save_for_backward (self, tensors)
 
def mark_dirty (self, args)
 
def mark_shared_storage (self, pairs)
 
def mark_non_differentiable (self, args)
 

Public Attributes

 retain_variables
 
 to_save
 
 dirty_tensors
 
 non_differentiable
 
- Public Attributes inherited from torch.autograd.function._ContextMethodMixin
 to_save
 
 dirty_tensors
 
 non_differentiable
 

Additional Inherited Members

- Static Public Member Functions inherited from torch.autograd.function.Function
def forward (ctx, args, kwargs)
 
def backward (ctx, grad_outputs)
 
- Static Public Attributes inherited from torch.autograd.function.Function
 is_traceable
 

Detailed Description

Definition at line 332 of file function.py.


The documentation for this class was generated from the following file: