Error when running example

When I try the example on readme:

import tensorflow as tf
import tf_encrypted as tfe

@tfe.local_computation('input-provider')
def provide_input():
    # normal TensorFlow operations can be run locally
    # as part of defining a private input, in this
    # case on the machine of the input provider
    return tf.ones(shape=(5, 10))

# define inputs
w = tfe.define_private_variable(tf.ones(shape=(10,10)))
x = provide_input()

# define computation
y = tfe.matmul(x, w)

with tfe.Session() as sess:
    # initialize variables
    sess.run(tfe.global_variables_initializer())
    # reveal result
    result = sess.run(y.reveal())

Found attached error: AttributeError: module 'tf_encrypted' has no attribute 'local_computation' I installed tf_encrypted by pip3

[mortendahl]

A pip install -U tf-encrypted should help then! Let us know if it doesn’t and we’ll reopen this issue. Thanks for giving TF Encrypted a try! 🙌

[paspularavinder]

when I try to import “import tf_encrypted as tfe” it give me the following error, could anyone help me please

AttributeError: module ‘tensorflow’ has no attribute ‘ConfigProto’

i also tried to use "tf.compat.v1 tf.disable_v2_behavior() but it also doesn’t work