Getting all tensor names from .tflite files

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Vishal Menon

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Aug 27, 2021, 3:21:50 AMAug 27
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model_design.jpg
This was the model that I had designed and converted to .tflite file.

When I tried to view the name of the tensors using the get_tensor_details() function, I was not able to find the tensor "sequential/dense_4/Sigmoid".
I know that the Identity tensor is exactly the same as "sequential/dense_4/Sigmoid", but is there some to get the activation function of the last layer?
Tensor names.jpg
Thanks in advance.
Vishal

Vishal Menon

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Aug 27, 2021, 3:23:57 AMAug 27
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I just want to get the architecture information(what layers are used, which activations were used in each layer etc) from the .tflite file.
How could it be possible?

Tei (Taehee) Jeong

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Aug 27, 2021, 4:45:40 AMAug 27
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Hi Vishal,

Please refer here for visualization and inspection options: https://www.tensorflow.org/lite/guide/faq#how_do_i_inspect_a_tflite_file

-Tei

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Vishal Menon

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Aug 27, 2021, 5:32:39 AMAug 27
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Both the netron and visualization.py provides the graphical representation, right?
But I would like to get layer information printed. Are there some functions that I could call?

Tei (Taehee) Jeong

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Aug 27, 2021, 6:33:22 AMAug 27
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I think you can call Interpreter._get_ops_details() and print corresponding tensors with their in/out indices. Not sure if there's easier way to do this.

-Tei

Vishal Menon

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Aug 27, 2021, 7:02:42 AMAug 27
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Thanks a lot!
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