Question: Explain the purpose of the tf.function input_signature parameter.Answer: The input_signature parameter in tf.function specifies the input signature of the function. It helps in static shape checking, allowing TensorFlow to optimize the function for a specific input signature.Example: @tf.function(input_signature=[tf.TensorSpec(shape=(None,), dtype=tf.float32)]) def my_function(x): return x * x |
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