Get the integer value inside a tensor tensorflow-CodePudding

I have a list of tensors, but i need to use the integer value that is saved inside each one. Is there a way to retrieve it without need to change eager mode?

Example test:

import tensorflow as tf
tf.compat.v1.disable_eager_execution()
if __name__ == '__main__':
    test = tf.constant([1,4,5])
    np_array = test.numpy()
    integer_value = np_array[0]
    print(type(integer_value))

result: AttributeError: 'Tensor' object has no attribute 'numpy'

I need to get value 1,4,5 as integer

CodePudding user response：

You can use Tensor.numpy() method to convert tensorflow.Tensor to numpy array or if you don't want to work with numpy representation Tensor.numpy().tolist() converts your variable to python list.

test = tf.constant([1,4,5])
np_array = test.numpy()
python_list = np_array.tolist()
integer_value = np_array[0] # or python_list[0]

EDIT:

if you turn off the eager execution you are left off with TF 1.0 behaviour so you have to make a tensorflow.Session to evaluate any tensorflow.Tensor

tf.compat.v1.disable_eager_execution()

test = tf.constant([4, 5, 6])
sess = tf.compat.v1.Session()
sess.run(tf.compat.v1.global_variables_initializer())
np_array = test.eval(session=sess))