NotImplementedError Cannot convert a symbolic Tensor lstmstrided_slice0 to a numpy array

This error occurs when you try to convert a symbolic tensor to a numpy array. A symbolic tensor is a tensor that is defined but not yet evaluated.

To resolve this error, you need to first evaluate the tensor before converting it to a numpy array.

Here are a few ways to do that:

1. Use the .eval() method to evaluate the tensor:

import tensorflow as tf
sess = tf.Session()
tensor = tf.constant([1, 2, 3])
numpy_array = tensor.eval(session=sess)

2. Use the tf.Session().run() method to evaluate the tensor:

import tensorflow as tf
sess = tf.Session()
tensor = tf.constant([1, 2, 3])
numpy_array = sess.run(tensor)

3. Use the tf.keras.backend.eval() method to evaluate the tensor:

import tensorflow as tf
tensor = tf.constant([1, 2, 3])
numpy_array = tf.keras.backend.eval(tensor)