d-smirnov commented on a change in pull request #6018:
URL: https://github.com/apache/incubator-tvm/pull/6018#discussion_r465833724
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File path: tests/python/frontend/tflite/test_forward.py
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@@ -250,7 +256,7 @@ def compare_tflite_with_tvm(in_data, in_name, input_tensors,
# convert to tflite model
converter = tf.lite.TFLiteConverter.from_session(
sess, input_tensors, output_tensors)
-
+ converter.experimental_new_converter=experimental_new_converter
Review comment:
MLIR-based (experimental_new_converter=True) converter is already in use
in Tensorflow and in TFLite. Why there is a need to postpone?
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