Error while convering tensor flow decision forests td model into TFlite model
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when i use below lines to convert the randomforest model to tflite format:
model = tfdf.keras.RandomForestModel()
model.fit(train_ds)
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
it reports below errors:
Compiling model...
Model compiled.
[INFO 24-05-24 14:52:46.2487 CST kernel.cc:1233] Loading model from path /tmp/tmpi5vb7gdd/assets/ with prefix e1933c10dbc149b1
[INFO 24-05-24 14:52:46.2628 CST decision_forest.cc:734] Model loaded with 300 root(s), 3040 node(s), and 5 input feature(s).
[INFO 24-05-24 14:52:46.2633 CST kernel.cc:1061] Use fast generic engine
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
W0000 00:00:1716533566.268118 929 tf_tfl_flatbuffer_helpers.cc:390] Ignored output_format.
W0000 00:00:1716533566.268394 929 tf_tfl_flatbuffer_helpers.cc:393] Ignored drop_control_dependency.
2024-05-24 14:52:46.269824: I tensorflow/cc/saved_model/reader.cc:83] Reading SavedModel from: /tmp/tmpi5vb7gdd
2024-05-24 14:52:46.271376: I tensorflow/cc/saved_model/reader.cc:51] Reading meta graph with tags { serve }
2024-05-24 14:52:46.271517: I tensorflow/cc/saved_model/reader.cc:146] Reading SavedModel debug info (if present) from: /tmp/tmpi5vb7gdd
2024-05-24 14:52:46.282128: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:388] MLIR V1 optimization pass is not enabled
2024-05-24 14:52:46.284642: I tensorflow/cc/saved_model/loader.cc:234] Restoring SavedModel bundle.
2024-05-24 14:52:46.320009: I tensorflow/cc/saved_model/loader.cc:218] Running initialization op on SavedModel bundle at path: /tmp/tmpi5vb7gdd
[INFO 24-05-24 14:52:46.3509 CST kernel.cc:1233] Loading model from path /tmp/tmpi5vb7gdd/assets/ with prefix e1933c10dbc149b1
[INFO 24-05-24 14:52:46.3655 CST decision_forest.cc:734] Model loaded with 300 root(s), 3040 node(s), and 5 input feature(s).
[INFO 24-05-24 14:52:46.3656 CST kernel.cc:1061] Use fast generic engine
2024-05-24 14:52:46.367187: I tensorflow/cc/saved_model/loader.cc:317] SavedModel load for tags { serve }; Status: success: OK. Took 97381 microseconds.
2024-05-24 14:52:46.396239: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var MLIR_CRASH_REPRODUCER_DIRECTORY to enable.
loc(fused["SimpleMLCreateModelResource:", "SimpleMLCreateModelResource"]): error: 'tf.SimpleMLCreateModelResource' op is neither a custom op nor a flex op
can the converter be supported ?
how to solve the error?