[Quantization] run calib without grad

This commit is contained in:
wanchen.swc 2023-03-16 18:53:57 +08:00
parent 4ffd5655da
commit 6ca0d1f54c

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@ -76,7 +76,8 @@ class ASRModelExportParaformer:
feats, feats_len = self.load_feats(self.audio_in)
for i, (feat, len) in enumerate(zip(feats, feats_len)):
print("debug, iter: {}".format(i))
m(feat, len)
with torch.no_grad():
m(feat, len)
else:
dummy_input = model.get_dummy_inputs()
m(*dummy_input)