RuntimeError: params_0: Attempting to capture an EagerTensor without building a function.

This error occurs when trying to use an EagerTensor object without building a TensorFlow function first.

To fix this error, you should build a TensorFlow function that includes the EagerTensor object. This can be done using the `tf.function` decorator, which converts a Python function into a TensorFlow graph function.

For example:

import tensorflow as tf

x = tf.constant([1, 2, 3], dtype=tf.float32)
y = tf.constant([4, 5, 6], dtype=tf.float32)

@tf.function
def my_func(params_0):
    return params_0 * x + y

z = my_func(tf.constant([0.5, 0.6, 0.7], dtype=tf.float32))

In this example, we define a function `my_func` that takes a parameter `params_0` and returns the result of multiplying it with `x` and adding `y`. We decorate `my_func` with `tf.function` to convert it into a TensorFlow graph function.

We then call `my_func` with an EagerTensor `tf.constant([0.5, 0.6, 0.7], dtype=tf.float32)` to get the result `z`.

By building a TensorFlow function using `tf.function`, we ensure that TensorFlow can properly capture the EagerTensor object and execute it within the graph.