import tensorflow as tf
import numpy as np

sess = tf.Session()
inputs = tf.placeholder(dtype=tf.float32, shape=(1, 300, 300, 3))
net = tf.layers.Conv2D(filters=2, kernel_size=3)(inputs)
net = tf.nn.softmax(net, axis=-1)
sess.run(tf.global_variables_initializer())
sess.run(net, feed_dict={inputs: np.zeros(shape=(1, 300, 300, 3), dtype=np.float32)})