From 129cfcd9f283dea0d64f2e20b77662febc2d802c Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 23 三月 2023 10:01:32 +0800
Subject: [PATCH] cer tool

---
 funasr/export/export_model.py |   13 +++++++------
 1 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
index b827f16..b1161cb 100644
--- a/funasr/export/export_model.py
+++ b/funasr/export/export_model.py
@@ -10,11 +10,11 @@
 from funasr.export.models import get_model
 import numpy as np
 import random
-
+from funasr.utils.types import str2bool
 # torch_version = float(".".join(torch.__version__.split(".")[:2]))
 # assert torch_version > 1.9
 
-class ASRModelExportParaformer:
+class ModelExport:
     def __init__(
         self,
         cache_dir: Union[Path, str] = None,
@@ -74,8 +74,9 @@
             # using dummy inputs for a example
             if self.audio_in is not None:
                 feats, feats_len = self.load_feats(self.audio_in)
-                for feat, len in zip(feats, feats_len):
-                    m(feat, len)
+                for i, (feat, len) in enumerate(zip(feats, feats_len)):
+                    with torch.no_grad():
+                        m(feat, len)
             else:
                 dummy_input = model.get_dummy_inputs()
                 m(*dummy_input)
@@ -233,13 +234,13 @@
     parser.add_argument('--model-name', type=str, required=True)
     parser.add_argument('--export-dir', type=str, required=True)
     parser.add_argument('--type', type=str, default='onnx', help='["onnx", "torch"]')
-    parser.add_argument('--quantize', action='store_true', help='export quantized model')
+    parser.add_argument('--quantize', type=str2bool, default=False, help='export quantized model')
     parser.add_argument('--fallback-num', type=int, default=0, help='amp fallback number')
     parser.add_argument('--audio_in', type=str, default=None, help='["wav", "wav.scp"]')
     parser.add_argument('--calib_num', type=int, default=200, help='calib max num')
     args = parser.parse_args()
 
-    export_model = ASRModelExportParaformer(
+    export_model = ModelExport(
         cache_dir=args.export_dir,
         onnx=args.type == 'onnx',
         quant=args.quantize,

--
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