| __init__(cls, name, bases, attrs) (defined in torch.autograd.function.FunctionMeta) | torch.autograd.function.FunctionMeta | |
| backward(ctx, grad_output) (defined in torch.nn._functions.thnn.sparse.EmbeddingBag) | torch.nn._functions.thnn.sparse.EmbeddingBag | static |
| dirty_tensors (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| forward(cls, ctx, weight, indices, offsets, max_norm, norm_type, scale_grad_by_freq, mode) (defined in torch.nn._functions.thnn.sparse.EmbeddingBag) | torch.nn._functions.thnn.sparse.EmbeddingBag | |
| forward(ctx, args, kwargs) (defined in torch.autograd.function.Function) | torch.autograd.function.Function | static |
| is_traceable (defined in torch.autograd.function.Function) | torch.autograd.function.Function | static |
| mark_dirty(self, args) (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| mark_non_differentiable(self, args) (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| mark_shared_storage(self, pairs) (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| non_differentiable (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| save_for_backward(self, tensors) (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |
| to_save (defined in torch.autograd.function._ContextMethodMixin) | torch.autograd.function._ContextMethodMixin | |