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Fix: ONNX inference of BERT models fails in some Windows environments

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tsukumi
2024-09-23 11:33:17 +09:00
parent f9607ad891
commit 5ca6e184d7
3 changed files with 17 additions and 17 deletions
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10
style_bert_vits2/nlp/japanese/bert_feature.py
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@@ -1,6 +1,6 @@
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional, Sequence, Union
from typing import TYPE_CHECKING, Any, cast, Optional, Sequence, Union
import numpy as np
from numpy.typing import NDArray
@@ -121,8 +121,8 @@ def extract_bert_feature_onnx(
res = session.run(
[output_name],
{
"input_ids": inputs["input_ids"],
"attention_mask": inputs["attention_mask"],
"input_ids": cast(NDArray[Any], inputs["input_ids"]).astype(np.int64),
"attention_mask": cast(NDArray[Any], inputs["attention_mask"]).astype(np.int64),
},
)[0]
@@ -132,8 +132,8 @@ def extract_bert_feature_onnx(
style_res = session.run(
[output_name],
{
"input_ids": style_inputs["input_ids"],
"attention_mask": style_inputs["attention_mask"],
"input_ids": cast(NDArray[Any], style_inputs["input_ids"]).astype(np.int64),
"attention_mask": cast(NDArray[Any], style_inputs["attention_mask"]).astype(np.int64),
},
)[0]
style_res_mean = np.mean(style_res, axis=0)