An Issue when loading SlimNet model on Mobile GPU

[rose-jinyang]

Hello
How are you?
Thanks for contributing to this project.
I trained a model with SlimNet architecture on my dataset and got a TFlite model.
This TFlite model works well on the CPU.
I am going to use this TFLite model on mobile GPU.
When loading this model on Android GPU, I got the following issue.

Caused by: java.lang.IllegalArgumentException: Internal error: Failed to apply delegate: Attempting to use a delegate that only supports static-sized tensors with a graph that has dynamic-sized tensors.

So I searched for any solution but I did NOT find a correct solution yet.
tensorflow/tensorflow#38036

Could u help me?

[anilsathyan7]

Can you try the following code to fix the size of the model during conversion

# Fix the model input batch size to 1
input_name = float_model.input_names[0]
index = float_model.input_names.index(input_name)
float_model.inputs[index].set_shape([1, 512, 512, 3])


converter = tf.lite.TFLiteConverter.from_keras_model(float_model)
tflite_model = converter.convert()
open("slimnet_float.tflite", "wb").write(tflite_model)

[rose-jinyang]

But I met the following issue.

Can u run the slimnet model on Phone GPU?

[anilsathyan7]

I tested it with mediapipe api in android(segmentation) and it worked at that time. I believe it uses the old gpu-delegate with OpenGL instead of OpenCL.