how can I change
tf.contrib.layers.xavier_initializer()
to tf version >= 2.0.0 ??
all codes:
W1 = tf.get_variable("W1", shape=[self.input_size, h_size],
initializer=tf.contrib.layers.xavier_initializer())
the TF2 replacement for tf.contrib.layers.xavier_initializer()
is tf.keras.initializers.glorot_normal
(Xavier and Glorot are 2 names for the same initializer algorithm, referring to one researcher named Xavier Glorot) documentation link.
if dtype is important for some compatibility reasons - use tf.compat.v1.keras.initializers.glorot_normal