From b18f7d121f2f17df8bf2d0c2bbb223bc5ddbcc0f Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 25 五月 2023 16:11:22 +0800
Subject: [PATCH] docs
---
funasr/models/encoder/conformer_encoder.py | 8 ++++----
1 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/funasr/models/encoder/conformer_encoder.py b/funasr/models/encoder/conformer_encoder.py
index 9777cee..5f20dee 100644
--- a/funasr/models/encoder/conformer_encoder.py
+++ b/funasr/models/encoder/conformer_encoder.py
@@ -15,13 +15,13 @@
from typeguard import check_argument_types
from funasr.models.ctc import CTC
-from funasr.models.encoder.abs_encoder import AbsEncoder
from funasr.modules.attention import (
MultiHeadedAttention, # noqa: H301
RelPositionMultiHeadedAttention, # noqa: H301
RelPositionMultiHeadedAttentionChunk,
LegacyRelPositionMultiHeadedAttention, # noqa: H301
)
+from funasr.models.encoder.abs_encoder import AbsEncoder
from funasr.modules.embedding import (
PositionalEncoding, # noqa: H301
ScaledPositionalEncoding, # noqa: H301
@@ -307,7 +307,7 @@
feed_forward: torch.nn.Module,
feed_forward_macaron: torch.nn.Module,
conv_mod: torch.nn.Module,
- norm_class: torch.nn.Module = torch.nn.LayerNorm,
+ norm_class: torch.nn.Module = LayerNorm,
norm_args: Dict = {},
dropout_rate: float = 0.0,
) -> None:
@@ -1078,7 +1078,7 @@
limit_size,
)
- mask = make_source_mask(x_len)
+ mask = make_source_mask(x_len).to(x.device)
if self.unified_model_training:
chunk_size = self.default_chunk_size + torch.randint(-self.jitter_range, self.jitter_range+1, (1,)).item()
@@ -1145,7 +1145,7 @@
x = x[:,::self.time_reduction_factor,:]
olens = torch.floor_divide(olens-1, self.time_reduction_factor) + 1
- return x, olens
+ return x, olens, None
def simu_chunk_forward(
self,
--
Gitblit v1.9.1