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convert : fix conversion of some BERT embedding models (#6937)
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@ -2482,6 +2482,10 @@ class BertModel(Model):
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print(f"Can not map tensor {name!r}")
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sys.exit()
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# convert any unsupported data types to float32
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if data_torch.dtype not in (torch.float16, torch.float32):
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data_torch = data_torch.to(torch.float32)
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data = data_torch.squeeze().numpy()
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n_dims = len(data.shape)
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new_dtype: type[np.floating[Any]]
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