Add backend experiment test

test/backend/.vscode/launch.json

@@ -0,0 +1,13 @@
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python",
+            "type": "python",
+            "request": "launch",
+            "program": "app.py",
+            "console": "integratedTerminal",
+            "justMyCode": false
+        }
+    ]
+}

test/backend/app.py

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+#!/usr/bin/env python
+
+''' Expermiental Python Server backend test '''
+
+import os
+import sys
+
+root_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
+source_dir = os.path.join(root_dir, 'source')
+third_party_dir = os.path.join(root_dir, 'third_party')
+package_dir = os.path.join(root_dir, 'dist', 'backend')
+if not os.path.exists(package_dir):
+    os.makedirs(package_dir)
+    os.symlink(source_dir, package_dir + '/netron')
+sys.path.append(package_dir)
+
+import netron # pylint: disable=wrong-import-position disable=import-error
+
+def _test_onnx():
+    file = os.path.join(third_party_dir, 'test', 'onnx', 'candy.onnx')
+    import onnx # pylint: disable=import-outside-toplevel
+    model = onnx.load(file)
+    netron.serve('x.onnx', model, browse=True)
+
+def _test_onnx_list():
+    folder = os.path.join(third_party_dir, 'test', 'onnx')
+    for item in os.listdir(folder):
+        file = os.path.join(folder, item)
+        if file.endswith('.onnx') and item != 'super_resolution.onnx':
+            print(item)
+            import onnx # pylint: disable=import-outside-toplevel
+            model = onnx.load(file)
+            address = netron.serve('x.onnx', model)
+            netron.stop(address)
+            print()
+
+def _test_torchscript():
+    import torch # pylint: disable=import-outside-toplevel disable
+    import torchvision # pylint: disable=import-outside-toplevel
+    model = torchvision.models.resnet34(weights=torchvision.models.ResNet34_Weights.DEFAULT)
+    args = torch.zeros([1, 3, 224, 224]) # pylint: disable=no-member
+    graph = torch.jit._get_trace_graph(model, args) # pylint: disable=protected-access
+    # graph = torch.onnx._optimize_trace(graph, torch.onnx.OperatorExportTypes.ONNX)
+    # https://github.com/pytorch/pytorch/blob/master/torch/csrc/jit/ir/ir.h
+    netron.serve('x.pt', graph, browse=True)
+
+# _test_onnx()
+# _test_torchscript()
+_test_onnx_list()