[Other] Add onnx_ort_runtime cpp/python demos (#565)

* add onnx_ort_runtime demo

* rm in requirements

examples/runtime/python/infer_onnx_onnxruntime.py

@@ -0,0 +1,47 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import fastdeploy as fd
+from fastdeploy import ModelFormat
+import numpy as np
+
+# 下载模型并解压
+model_url = "https://bj.bcebos.com/fastdeploy/models/mobilenetv2.onnx"
+fd.download(model_url, path=".")
+
+option = fd.RuntimeOption()
+
+option.set_model_path("mobilenetv2.onnx", model_format=ModelFormat.ONNX)
+
+# **** CPU 配置 ****
+option.use_cpu()
+option.use_ort_backend()
+option.set_cpu_thread_num(12)
+
+# **** GPU 配置 ****
+# 如需使用GPU，使用如下注释代码
+# option.use_gpu(0)
+
+# 初始化构造runtime
+runtime = fd.Runtime(option)
+
+# 获取模型输入名
+input_name = runtime.get_input_info(0).name
+
+# 构造随机数据进行推理
+results = runtime.infer({
+    input_name: np.random.rand(1, 3, 224, 224).astype("float32")
+})
+
+print(results[0].shape)