torch.nn.modules.sparse.EmbeddingBag Member List

This is the complete list of members for torch.nn.modules.sparse.EmbeddingBag, including all inherited members.

__init__(self, num_embeddings, embedding_dim, max_norm=None, norm_type=2., scale_grad_by_freq=False, mode='mean', sparse=False, _weight=None) (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
embedding_dim (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
extra_repr(self) (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
forward(self, input, offsets=None) (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
from_pretrained(cls, embeddings, freeze=True, max_norm=None, norm_type=2., scale_grad_by_freq=False, mode='mean', sparse=False) (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
max_norm (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
mode (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
norm_type (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
num_embeddings (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
reset_parameters(self) (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
scale_grad_by_freq (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
sparse (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag
weight (defined in torch.nn.modules.sparse.EmbeddingBag)	torch.nn.modules.sparse.EmbeddingBag