From 4ba1011b42e041ee1d71448eefd7ef2e7bd61bb6 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 31 三月 2023 15:31:26 +0800
Subject: [PATCH] export
---
funasr/export/models/vad_realtime_transformer.py | 17 ++++++++---------
1 files changed, 8 insertions(+), 9 deletions(-)
diff --git a/funasr/export/models/vad_realtime_transformer.py b/funasr/export/models/vad_realtime_transformer.py
index a3d4864..693b9c8 100644
--- a/funasr/export/models/vad_realtime_transformer.py
+++ b/funasr/export/models/vad_realtime_transformer.py
@@ -1,14 +1,9 @@
-from typing import Any
-from typing import List
from typing import Tuple
import torch
import torch.nn as nn
-from funasr.modules.embedding import SinusoidalPositionEncoder
-from funasr.punctuation.sanm_encoder import SANMVadEncoder as Encoder
-from funasr.punctuation.abs_model import AbsPunctuation
-from funasr.punctuation.sanm_encoder import SANMVadEncoder
+from funasr.models.encoder.sanm_encoder import SANMVadEncoder
from funasr.export.models.encoder.sanm_encoder import SANMVadEncoder as SANMVadEncoder_export
class VadRealtimeTransformer(nn.Module):
@@ -63,11 +58,11 @@
text_lengths = torch.tensor([length], dtype=torch.int32)
vad_mask = torch.ones(length, length, dtype=torch.float32)[None, None, :, :]
sub_masks = torch.ones(length, length, dtype=torch.float32)
- sub_masks = torch.tril(sub_masks)
- return (text_indexes, text_lengths, vad_mask, sub_masks)
+ sub_masks = torch.tril(sub_masks).type(torch.float32)
+ return (text_indexes, text_lengths, vad_mask, sub_masks[None, None, :, :])
def get_input_names(self):
- return ['input', 'text_lengths', 'vad_mask']
+ return ['input', 'text_lengths', 'vad_mask', 'sub_masks']
def get_output_names(self):
return ['logits']
@@ -81,6 +76,10 @@
2: 'feats_length1',
3: 'feats_length2'
},
+ 'sub_masks': {
+ 2: 'feats_length1',
+ 3: 'feats_length2'
+ },
'logits': {
1: 'logits_length'
},
--
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