In TensorFlow, when defining a placeholder for a tensor, should one use a placeholder function with one of the parameters specifying the shape of the tensor, which, however, does not need to be set?

In TensorFlow, placeholders were a fundamental concept used in TensorFlow 1.x for feeding external data into a computational graph. With the advent of TensorFlow 2.x, the use of placeholders has been deprecated in favor of the more intuitive and flexible `tf.data` API and eager execution, which allows for more dynamic and interactive model development. However,

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