The TypeError: ‘tensorflow.python.framework.ops.EagerTensor’ object is not callable error occurs when you try to call a TensorFlow EagerTensor object as if it were a function or method.
If you forget to use the .numpy() method to convert the EagerTensor to a NumPy array before calling it, this TypeError will be raised. See the below code.
import tensorflow as tf
tenr = tf.constant([11, 21, 19])
output = tenr()
Output
TypeError: 'tensorflow.python.framework.ops.EagerTensor' object is not callable
How to fix TypeError: ‘tensorflow.python.framework.ops.EagerTensor’ object is not callable
To fix the TypeError: ‘tensorflow.python.framework.ops.EagerTensor’ object is not callable, ensure that you are not calling an EagerTensor object without the use of the .numpy() method, which will convert the EagerTensor to a NumPy array and then call the NumPy array as a function.
import tensorflow as tf
import numpy as np
tenr = tf.constant([11, 21, 19])
output = np.square(tenr.numpy())
print(output)
Output
[121 441 361]
And we successfully converted an EagerTensor to a numpy array, and the TypeError is resolved.
EagerTensor is a Tensor object in TensorFlow that represents a value immediately available in memory.
The tf.Tensor objects represent symbolic handles to a computation executed when the TensorFlow graph is run, EagerTensor objects are evaluated, and their values are immediately available.
That’s it.