I am trying to create my own loss function:
def custom_mse(y_true, y_pred):
tmp = 10000000000
a = list(itertools.permutations(y_pred))
for i in range(0, len(a)):
t = K.mean(K.square(a[i] - y_true), axis=-1)
if t < tmp :
tmp = t
It should create permutations of predicted vector, and return the smallest loss.
"`Tensor` objects are not iterable when eager execution is not "
TypeError: `Tensor` objects are not iterable when eager execution is not enabled.
To iterate over this tensor use `tf.map_fn`.
error. I fail to find any source for this error. Why is this happening?
Thanks for the help.