wehub-resource-sync
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
# Copyright (c) Facebook, Inc. and its affiliates.
|
|
#
|
|
# This source code is licensed under the MIT license found in the
|
|
# LICENSE file in the root directory of this source tree.
|
|
|
|
from fairseq.modules import TransformerSentenceEncoderLayer
|
|
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
|
|
|
|
|
|
class SparseTransformerSentenceEncoderLayer(TransformerSentenceEncoderLayer):
|
|
"""
|
|
Implements a Sprase Transformer Encoder Layer (see SparseMultiheadAttention)
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
embedding_dim: int = 768,
|
|
ffn_embedding_dim: int = 3072,
|
|
num_attention_heads: int = 8,
|
|
dropout: float = 0.1,
|
|
attention_dropout: float = 0.1,
|
|
activation_dropout: float = 0.1,
|
|
activation_fn: str = "relu",
|
|
export: bool = False,
|
|
is_bidirectional: bool = True,
|
|
stride: int = 32,
|
|
expressivity: int = 8,
|
|
) -> None:
|
|
|
|
super().__init__(
|
|
embedding_dim,
|
|
ffn_embedding_dim,
|
|
num_attention_heads,
|
|
dropout,
|
|
attention_dropout,
|
|
activation_dropout,
|
|
activation_fn,
|
|
export,
|
|
)
|
|
|
|
self.self_attn = SparseMultiheadAttention(
|
|
self.embedding_dim,
|
|
num_attention_heads,
|
|
dropout=attention_dropout,
|
|
add_bias_kv=False,
|
|
add_zero_attn=False,
|
|
self_attention=True,
|
|
is_bidirectional=is_bidirectional,
|
|
stride=stride,
|
|
expressivity=expressivity,
|
|
)
|