add unittest for --tflite command line (#1362)

* add unit test for tflite command line

Signed-off-by: Guenther Schmuelling <[email protected]>

* add tflite tutorial

Signed-off-by: Guenther Schmuelling <[email protected]>

* add readme

Signed-off-by: Guenther Schmuelling <[email protected]>

* fix typo

Signed-off-by: Guenther Schmuelling <[email protected]>

Author: guschmue

tests/models/regression/tflite/model.tflite

@@ -116,6 +116,14 @@ def test_convert_graphdef_cut_output(self):
                                        '--output',
                                        'converted_graphdef_cut_output.onnx']))
 
+    @check_tf_min_version("2.2")
+    def test_convert_tflite(self):
+        """ convert tflite """
+        self.assertTrue(run_test_case(['',
+                                       '--tflite',
+                                       'tests/models/regression/tflite/model.tflite',
+                                       '--output',
+                                       'converted_checkpoint.onnx']))
 
 if __name__ == '__main__':
     unittest.main()

tests/test_convert.py

@@ -0,0 +1,21 @@
+<!--- SPDX-License-Identifier: Apache-2.0 -->
+
+# tf2onnx tutorials
+
+The following tutorials show how to convert various models to ONNX.
+
+[The original Bert model](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb)<br/>
+By now this model is a bit old and it is much easier to use huggingface. To see how to convert the huggingface tensorflow models see [huggingface.py](https://github.com/onnx/tensorflow-onnx/blob/master/tests/huggingface.py)
+
+
+[ssd-mobilenet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
+
+[efficientdet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientdet.ipynb)
+
+[efficientnet-edge](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-edge.ipynb)
+
+[efficientnet-lite](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-lite.ipynb)
+
+[keras-resnet50](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/keras-resnet50.ipynb), shows how to convert a keras model via python api
+
+[mobiledet](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/mobiledet-tflite.ipynb), shows how to convert a tflite model