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Update huffman_coder.py #5426

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Update huffman_coder.py #5426

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e743cb0
Update huffman_coder.py
balaramas Jan 18, 2024
0df4794
Update wav2vec2_classification.py
balaramas Jan 18, 2024
d14c458
Merge branch 'main' into main
balaramas Feb 8, 2024
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4 changes: 2 additions & 2 deletions fairseq/data/huffman/huffman_coder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
from collections import Counter, deque
from dataclasses import dataclass

from bitarray import bitarray, util
from bitarray import bitarray
from fairseq.data import Dictionary

# basically we have to write to addressable bytes for the memory mapped
Expand Down Expand Up @@ -43,7 +43,7 @@ def _unpad(self, a: bitarray) -> bitarray:
"""
# count the 0 padding at the end until we find the first 1
# we want to remove the one too
remove_cnt = util.rindex(a, 1)
remove_cnt = index(a, right=1)
return a[:remove_cnt]

def encode(self, iter: tp.List[str]) -> bytes:
Expand Down
4 changes: 2 additions & 2 deletions fairseq/models/wav2vec/wav2vec2_classification.py
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Expand Up @@ -206,7 +206,7 @@ def __init__(
if cfg.latent_embed_dim is not None
else encoder_embed_dim
)
logging.debug(f"| {self.latent_embed_dim=}")
logging.debug(f"| {self.latent_embed_dim}")
self.linear = Linear(encoder_embed_dim, self.latent_embed_dim)
self.projection = Linear(self.latent_embed_dim, num_targets)

Expand Down Expand Up @@ -345,4 +345,4 @@ def forward(self, last_layer_feats, padding_mask, all_layer_feats):
weighted_avg_features = weighted_avg_features.view(*original_feat_shape)

# Mean Pooling on weighted average features.
return super().forward(weighted_avg_features, padding_mask)
return super().forward(weighted_avg_features, padding_mask)