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.
Reproduce the error
import tensorflow as tf
tenr = tf.constant([11, 21, 19])
output = tenr()Output
TypeError: 'tensorflow.python.framework.ops.EagerTensor' object is not callableHow 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.
Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
