Liuyi Jin
Liuyi Jin
I got same error, and it just happens today.
Hi, I'm wondering if you would share your modification code to TFLite, which implements the GPU operator-level profiling?
I am in the same issue, have anyone got any update on this. I am using python 3.7.3. I am wondering if this is because of the incompatible python versions.
Any updated solution here? I encountered the same issue here with tf2.9.
This bug has been resolved [here](https://github.com/tensorflow/tensorflow/issues/42410#issuecomment-1201150119). Basically, we just need to load model while are are loading the concrete function, i.e., change [this line](https://github.com/TensorSpeech/TensorFlowASR/blob/main/tensorflow_asr/helpers/exec_helpers.py#L41) to `converter = tf.lite.TFLiteConverter.from_concrete_functions([concrete_func], model)`.
Any updated solution here? I encountered the same issue here with tf2.9.
This bug has been resolved https://github.com/tensorflow/tensorflow/issues/42410#issuecomment-1201150119. Basically, we just need to load model while are are loading the concrete function, i.e., change [this line](https://github.com/TensorSpeech/TensorFlowASR/blob/main/tensorflow_asr/helpers/exec_helpers.py#L41) to converter = tf.lite.TFLiteConverter.from_concrete_functions([concrete_func], model).
Any updated solution here? I encountered the same issue here with tf2.9.
This bug has been resolved https://github.com/tensorflow/tensorflow/issues/42410#issuecomment-1201150119. Basically, we just need to load model while are are loading the concrete function, i.e., change [this line](https://github.com/TensorSpeech/TensorFlowASR/blob/main/tensorflow_asr/helpers/exec_helpers.py#L41) to converter = tf.lite.TFLiteConverter.from_concrete_functions([concrete_func], model).
> @kolaente @techknowlogick thanks for the quick response! > > > Just out of curiosity, what is your use case for mobile? > > A bit of context: We need...