cut a 1 dimensional tensor via tf.math.argmin

Question

I want to cut a tensor of shape (None,) off at the position of it\'s smallest value. Apperently

cut = tf.math.argmin(x,axis = 0)
x = tf.slice(x,[0],[cut])