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Cause 1: You are using ONNX, and you used an Opset higher than 12 or lower than 8.

• Solution 1: Recompile your model with Opset 9/10/11 (soon we'll support Opset 12).

Cause 2: You are using Keras/TensorFlow, and you used experimental/unsupported-custom layers in your model.

• Solution 1: Recompile your model without the experimental or unsupported layers. The Deci failure notification will let you know which is the unsupported layer.

Cause 3: You are using Keras/TensorFlow, and you used a custom/unsupported activation function.

• Solution 1: Replace the activation function with a supported one and then recompile your model with a different, known activation function.