Support model with no-named inputs/outputs
OTBTF should handle a model that doesn't name inputs/outputs, e.g. a model created like that :
import tensorflow as tf
# Input
x1 = tf.keras.Input(shape=[None, None, 4]) # [h, w, N]
x2 = tf.keras.Input(shape=[None, None, 4]) # [h, w, N]
# Compute multiply
y = tf.math.multiply(x1, x2)
# Create model
model = tf.keras.Model(inputs=[x1, x2], outputs=y, name="multiply")
model.save("my_model_multiply")When running TensorflowModelServe, the user could ommit the source#.placeholder and output.names arguments