From 95cf2646fa6dae67bf53354f4ed5e81780d8fee9 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 11 三月 2024 14:43:08 +0800
Subject: [PATCH] onnx (#1460)
---
runtime/python/onnxruntime/funasr_onnx/vad_bin.py | 25 +++++++++----------------
1 files changed, 9 insertions(+), 16 deletions(-)
diff --git a/runtime/python/onnxruntime/funasr_onnx/vad_bin.py b/runtime/python/onnxruntime/funasr_onnx/vad_bin.py
index 5892995..af32b1d 100644
--- a/runtime/python/onnxruntime/funasr_onnx/vad_bin.py
+++ b/runtime/python/onnxruntime/funasr_onnx/vad_bin.py
@@ -54,19 +54,15 @@
if not os.path.exists(model_file):
print(".onnx is not exist, begin to export onnx")
try:
- from funasr.export.export_model import ModelExport
+ from funasr import AutoModel
except:
raise "You are exporting onnx, please install funasr and try it again. To install funasr, you could:\n" \
"\npip3 install -U funasr\n" \
"For the users in China, you could install with the command:\n" \
"\npip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple"
- export_model = ModelExport(
- cache_dir=cache_dir,
- onnx=True,
- device="cpu",
- quant=quantize,
- )
- export_model.export(model_dir)
+
+ model = AutoModel(model=cache_dir)
+ model_dir = model.export(type="onnx", quantize=quantize, device="cpu")
config_file = os.path.join(model_dir, 'vad.yaml')
cmvn_file = os.path.join(model_dir, 'vad.mvn')
config = read_yaml(config_file)
@@ -222,19 +218,16 @@
if not os.path.exists(model_file):
print(".onnx is not exist, begin to export onnx")
try:
- from funasr.export.export_model import ModelExport
+ from funasr import AutoModel
except:
raise "You are exporting onnx, please install funasr and try it again. To install funasr, you could:\n" \
"\npip3 install -U funasr\n" \
"For the users in China, you could install with the command:\n" \
"\npip3 install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple"
- export_model = ModelExport(
- cache_dir=cache_dir,
- onnx=True,
- device="cpu",
- quant=quantize,
- )
- export_model.export(model_dir)
+
+ model = AutoModel(model=cache_dir)
+ model_dir = model.export(type="onnx", quantize=quantize, device="cpu")
+
config_file = os.path.join(model_dir, 'vad.yaml')
cmvn_file = os.path.join(model_dir, 'vad.mvn')
config = read_yaml(config_file)
--
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