mbarrett97 commented on a change in pull request #4543: [FRONTEND][TFLITE] Add
support for TFLite_Detection_PostProcess
URL: https://github.com/apache/incubator-tvm/pull/4543#discussion_r366410943
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -1113,6 +1113,49 @@ def test_forward_fully_connected():
_test_fully_connected([5, 1, 1, 150], [150, 100], [100])
+#######################################################################
+# Custom Operators
+# -------
+
+def test_detection_postprocess():
+ tf_model_file = tf_testing.get_workload_official(
+ "http://download.tensorflow.org/models/object_detection/";
+ "ssd_mobilenet_v2_quantized_300x300_coco_2019_01_03.tar.gz",
Review comment:
The test looks non-trivial to add because quite a small difference in the
convolutional part of the network can result in significant changes to the
ordering of the output tensor (eg. we might see at different detection at the
cut off threshold). I'm not sure what the best way is to proceed, do you have
any thoughts?
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