Not supported tflite opcode: SHAPE

[sswxl]

1. Import graph...
   Fatal: Not supported tflite opcode: SHAPE

[laolihaile]

1. Import graph...
   Fatal: Not supported tflite opcode: SHAPE

I have the same problem, do you solve it?

[sswxl]

1. Import graph...
   Fatal: Not supported tflite opcode: SHAPE

I have the same problem, do you solve it?

Supported TensorFlow Lite operators do not include Shape. So you can check whether your model uses the shape operator

[laolihaile]

1. Import graph...
   Fatal: Not supported tflite opcode: SHAPE

I have the same problem, do you solve it?

Supported TensorFlow Lite operators do not include Shape. So you can check whether your model uses the shape operator

thank you, I do use 'Reshape' layer, So how do I solve the problem?

[AIWintermuteAI]

@sunnycase any progress on this issue?
Since 2.x quite a few keras.layers have tf.shape op added, which honestly is quite annoying...
I'm porting YOLOv3 to my project and already have it working - just to discover that both UpSampling2D and Conv2DTranspose layers in Keras have tf.shape operator in 2.x and thus cannot be converted with nncase. I'm sure there is more use cases for this operator, which is relatively simple.

Here is links to Keras code to illustrate what I'm talking about:
tf.keras 1.x UpSampling2D layer - no tf.shape op
https://github.com/keras-team/keras/blob/7b9c8727760b2a8d02e409efaa6ff9e0333b02e1/keras/layers/convolutional.py#L1974
tf.keras 2.x UpSampling2D layer - tf.shape op present
https://github.com/keras-team/keras/blob/069e95a5c8075555b3bd2895bdbf34ed68bb3bba/keras/layers/convolutional.py#L2618

Is adding SHAPE in the roadmap? If it's not any guidance you can give on adding it? I'm willing to put some work and then make a PR.

[sunnycase]

@AIWintermuteAI Can your provide the tflite?

[AIWintermuteAI]

@sunnycase of course, here you go
https://drive.google.com/file/d/1fe_4l-hLo7pQdCXJRoWi9DilxY9kiRIQ/view?usp=sharing

[zhen8838]

@AIWintermuteAI hi, I find your tflite model has something different, can you provide a .pb model?

The resize layer new shape is not equal to output shape, so it will cause the internal error:

The output shape should be [14,14], but the tflite model display the [1,1]:

So it can't perform concat operation:

[zhen8838]

@AIWintermuteAI or maybe you can provide a new tflite model with constant shape information. just use the determined size upsample layer like UpSampling2D(2)

[AIWintermuteAI]

@zhen8838
Hi there! I don't have a .pb model, but here is original Keras .h5 model.
https://drive.google.com/file/d/1M-E8JTMwU5H8YS4oYGaQOScLFICi7Ocu/view?usp=sharing
Additionally, I found the way to convert the model with Reshape and/or UpSampling2D layers - it turns out if static shape is set on tflite conversion, such as here
https://github.com/AIWintermuteAI/aXeleRate/blob/800a488f94c5d92791ee84293d1cd1d4309ba4fe/axelerate/networks/common_utils/convert.py#L194
then SHAPE op is not present in the .tfilte model anymore, so that solves the problem, at least for me.

[zhen8838]

ok ~

[zhen8838]

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