torch.nn._functions.thnn.sparse.EmbeddingBag Class Reference

Inheritance diagram for torch.nn._functions.thnn.sparse.EmbeddingBag:

Public Member Functions
def	forward (cls, ctx, weight, indices, offsets, max_norm, norm_type, scale_grad_by_freq, mode)
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)

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

Additional Inherited Members
Public Attributes inherited from torch.autograd.function._ContextMethodMixin
	to_save
	dirty_tensors
	non_differentiable
Static Public Attributes inherited from torch.autograd.function.Function
	is_traceable

Detailed Description

Definition at line 13 of file sparse.py.

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

• torch/nn/_functions/thnn/sparse.py