tf.convert_to_tensor

import tensorflow as tf 
import numpy as np
def my_func(arg):
  arg = tf.convert_to_tensor(arg, dtype=tf.float32)
  return arg


# The following calls are equivalent.
value_1 = my_func(tf.constant([[1.0, 2.0], [3.0, 4.0]]))
print(value_1)



value_2 = my_func([[1.0, 2.0], [3.0, 4.0]])
print(value_2)



value_3 = my_func(np.array([[1.0, 2.0], [3.0, 4.0]], dtype=np.float32))
print(value_3)

tf.Tensor(
[[1. 2.]
 [3. 4.]], shape=(2, 2), dtype=float32)
tf.Tensor(
[[1. 2.]
 [3. 4.]], shape=(2, 2), dtype=float32)
tf.Tensor(
[[1. 2.]
 [3. 4.]], shape=(2, 2), dtype=float32)