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Fix export using Trainer
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@@ -20,5 +20,5 @@ def export() -> None:
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model = EmbeddingConverterTrainer.load_from_checkpoint(source_path, map_location = 'cpu')
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model.eval()
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model.ir_version = torch.tensor(ir_version)
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input_tensor = (torch.randn(1, 512), )
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input_tensor = torch.randn(1, 512)
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torch.onnx.export(model, input_tensor, target_path, input_names = [ 'input' ], output_names = [ 'output' ], opset_version = opset_version)
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