From 0b15e6ea5cccbea3c590958d60e623800bbe3dfb Mon Sep 17 00:00:00 2001
From: 九耳 <mengzhe.cmz@alibaba-inc.com>
Date: 星期四, 30 三月 2023 16:27:07 +0800
Subject: [PATCH] fix
---
funasr/export/models/vad_realtime_transformer.py | 20 +++++++++++---------
1 files changed, 11 insertions(+), 9 deletions(-)
diff --git a/funasr/export/models/vad_realtime_transformer.py b/funasr/export/models/vad_realtime_transformer.py
index 44583d8..381d02d 100644
--- a/funasr/export/models/vad_realtime_transformer.py
+++ b/funasr/export/models/vad_realtime_transformer.py
@@ -21,7 +21,9 @@
**kwargs,
):
super().__init__()
-
+ onnx = False
+ if "onnx" in kwargs:
+ onnx = kwargs["onnx"]
self.embed = model.embed
if isinstance(model.encoder, SANMVadEncoder):
@@ -53,12 +55,13 @@
def get_dummy_inputs(self):
length = 120
- text_indexes = torch.randint(0, self.embed.num_embeddings, (2, length))
- text_lengths = torch.tensor([length-20, length], dtype=torch.int32)
- return (text_indexes, text_lengths)
+ text_indexes = torch.randint(0, self.embed.num_embeddings, (1, length))
+ text_lengths = torch.tensor([length], dtype=torch.int32)
+ vad_mask = torch.ones(length, length)[None, None, :, :]
+ return (text_indexes, text_lengths, vad_mask)
def get_input_names(self):
- return ['input', 'text_lengths']
+ return ['input', 'text_lengths', 'vad_mask']
def get_output_names(self):
return ['logits']
@@ -66,14 +69,13 @@
def get_dynamic_axes(self):
return {
'input': {
- 0: 'batch_size',
1: 'feats_length'
},
- 'text_lengths': {
- 0: 'batch_size',
+ 'vad_mask': {
+ 2: 'feats_length1',
+ 3: 'feats_length2'
},
'logits': {
- 0: 'batch_size',
1: 'logits_length'
},
}
--
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