Tensorflow 2.16 / Keras 3 support about tensorflow-onnx HOT 1 OPEN

import tf2onnx
import keras

inputs = [
     keras.Input((128, 2), batch_size=64, dtype="float32", name="input_1"),
     keras.Input((64, 4), batch_size=64, dtype="float32", name="input_2")
]
# [...] Rest of Keras code
model = keras.Model(inputs=inputs, outputs=outputs)

model_proto, _ = tf2onnx.convert.from_keras(
    model,
    input_signature=(
        tf.TensorSpec(
            model.inputs[0].shape,
            dtype=model.inputs[0].dtype,
            name=model.inputs[0].name,
        ),
        tf.TensorSpec(
            model.inputs[1].shape,
            dtype=model.inputs[1].dtype,
            name=model.inputs[1].name,
        ),
    ),
    output_path="model.onnx",
)