optimum/amd/ryzenai/modeling.py [607:617]:
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    def forward(self, pixel_values):
        use_torch = isinstance(pixel_values, torch.Tensor)
        if use_torch:
            pixel_values = pixel_values.cpu().detach().numpy()
        onnx_inputs = {
            list(self.inputs_names.keys())[0]: pixel_values,
        }

        # run inference
        onnx_outputs = self.model.run(None, onnx_inputs)
        outputs = self._prepare_onnx_outputs(onnx_outputs, use_torch=use_torch)
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optimum/amd/ryzenai/modeling.py [677:687]:
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    def forward(self, pixel_values):
        use_torch = isinstance(pixel_values, torch.Tensor)
        if use_torch:
            pixel_values = pixel_values.cpu().detach().numpy()
        onnx_inputs = {
            list(self.inputs_names.keys())[0]: pixel_values,
        }

        # run inference
        onnx_outputs = self.model.run(None, onnx_inputs)
        outputs = self._prepare_onnx_outputs(onnx_outputs, use_torch=use_torch)
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