FrozenGene 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_r371193247
##########
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:
I think we should resolve the issue of rounding in TVM. Would you mind
opening an RFC to describe it? We could discuss and resolve it. This case is
one good candidate why we need to keep the same as the rounding behavior of
TFLite when we parse TFLite quantized model.
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