From 9f6445d39b14fa17f2c32a383c1054a8e073a9c9 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 07 四月 2023 14:11:55 +0800
Subject: [PATCH] onnx
---
funasr/export/models/vad_realtime_transformer.py | 10 +++++-----
1 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/funasr/export/models/vad_realtime_transformer.py b/funasr/export/models/vad_realtime_transformer.py
index a8948eb..24a8e72 100644
--- a/funasr/export/models/vad_realtime_transformer.py
+++ b/funasr/export/models/vad_realtime_transformer.py
@@ -61,18 +61,18 @@
# sub_masks = torch.tril(sub_masks).type(torch.float32)
# return (text_indexes, text_lengths, vad_mask, sub_masks[None, None, :, :])
- def get_dummy_inputs(self, txt_dir):
+ def get_dummy_inputs(self, txt_dir=None):
from funasr.modules.mask import vad_mask
length = 10
text_indexes = torch.tensor([[266757, 266757, 266757, 266757, 266757, 266757, 266757, 266757, 266757, 266757]], dtype=torch.int32)
text_lengths = torch.tensor([length], dtype=torch.int32)
- vad_mask = vad_mask(10, 3, dtype=torch.float32)[None, None, :, :]
+ vad_masks = vad_mask(10, 2, dtype=torch.float32)[None, None, :, :]
sub_masks = torch.ones(length, length, dtype=torch.float32)
sub_masks = torch.tril(sub_masks).type(torch.float32)
- return (text_indexes, text_lengths, vad_mask, sub_masks[None, None, :, :])
+ return (text_indexes, text_lengths, vad_masks, sub_masks[None, None, :, :])
def get_input_names(self):
- return ['input', 'text_lengths', 'vad_mask', 'sub_masks']
+ return ['input', 'text_lengths', 'vad_masks', 'sub_masks']
def get_output_names(self):
return ['logits']
@@ -82,7 +82,7 @@
'input': {
1: 'feats_length'
},
- 'vad_mask': {
+ 'vad_masks': {
2: 'feats_length1',
3: 'feats_length2'
},
--
Gitblit v1.9.1