>           sess = C.InferenceSession(session_options, self._model_bytes, False, self._read_config_from_model)
E           onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Node (/_operators.0/Transpose) Op (Transpose) [TypeInferenceError] Invalid attribute perm {1, 0}, input shape = {

self = <onnxruntime.capi.onnxruntime_inference_collection.InferenceSession object at 0x7fb91dde3e90>
providers = [], provider_options = [], disabled_optimizers = None

    def _create_inference_session(self, providers, provider_options, disabled_optimizers=None):
        available_providers = C.get_available_providers()
    
        # Tensorrt can fall back to CUDA if it's explicitly assigned. All others fall back to CPU.
        if "TensorrtExecutionProvider" in available_providers:
            if providers and any(
                provider == "CUDAExecutionProvider"
                or (isinstance(provider, tuple) and provider[0] == "CUDAExecutionProvider")
                for provider in providers
            ):
                self._fallback_providers = ["CUDAExecutionProvider", "CPUExecutionProvider"]
            else:
                self._fallback_providers = ["CPUExecutionProvider"]
        # MIGraphX can fall back to ROCM if it's explicitly assigned. All others fall back to CPU.
        elif "MIGraphXExecutionProvider" in available_providers:
            if providers and any(
                provider == "ROCMExecutionProvider"
                or (isinstance(provider, tuple) and provider[0] == "ROCMExecutionProvider")
                for provider in providers
            ):
                self._fallback_providers = ["ROCMExecutionProvider", "CPUExecutionProvider"]
            else:
                self._fallback_providers = ["CPUExecutionProvider"]
        else:
            self._fallback_providers = ["CPUExecutionProvider"]
    
        # validate providers and provider_options before other initialization
        providers, provider_options = check_and_normalize_provider_args(
            providers, provider_options, available_providers
        )
    
        session_options = self._sess_options if self._sess_options else C.get_default_session_options()
    
        self._register_ep_custom_ops(session_options, providers, provider_options, available_providers)
    
        if self._model_path:
            sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
        else:
>           sess = C.InferenceSession(session_options, self._model_bytes, False, self._read_config_from_model)
E           onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Node (/_operators.0/Transpose) Op (Transpose) [TypeInferenceError] Invalid attribute perm {1, 0}, input shape = {