conv1d.py

from __future__ import print_function
import numpy as np
import tensorflow as tf

sess = tf.Session()

inp = tf.Variable(np.array([0.0, 0.0, 0.0, 0.0, 1.0]).reshape(1, 1, 5, 1), name="inp")
fil = tf.Variable(np.array([0.0, 0.5, 1.0]).reshape(1, 3, 1, 1), name="fil")

op = tf.nn.conv2d(inp, fil, strides=[1, 1, 1, 1], padding='SAME')

init = tf.global_variables_initializer()

with tf.Session() as sess:
    sess.run(init)
    print("input")
    print(input.eval())
    print("filter")
    print(filter.eval())
    result = sess.run(op)
    print(result)