# -*- coding: utf-8 -*-
#!/usr/bin/python
import tensorflow as tf
import tfutil
if __name__ == '__main__':
for xs in [(0, 0), (1, 0), (0, 1), (1, 1)]:
const1, const2 = tf.constant(xs[0]), tf.constant(xs[1])
y = tfutil.get_operation_value(
tf.logical_xor(tf.cast(const1, tf.bool), tf.cast(const2, tf.bool)))
print(
str(xs) + " -> " +
str(tfutil.get_operation_value(tf.cast(y, tf.int32))))
#print(str(xs) + " -> " + str(y))
# -*- coding: utf-8 -*-
#!/usr/bin/python
import tensorflow as tf
import tfutil
if __name__ == '__main__':
for xs in [(0, 0), (1, 0)]:
const1, const2 = tf.constant(xs[0]), tf.constant(xs[1])
# y : A Tensor . Must have the same type as x
y = tfutil.get_operation_value(tf.not_equal(const1, const2))
print(str(xs) + " -> " + str(y))
# -*- coding: utf-8 -*-
#!/usr/bin/python
import tensorflow as tf
import tfutil
if __name__ == '__main__':
for xs in [0, 1]:
const = tf.constant(xs)
y = tfutil.get_operation_value(tf.logical_not(tf.cast(const, tf.bool)))
print(
str(xs) + " -> " +
str(tfutil.get_operation_value(tf.cast(y, tf.int32))))
#print(str(xs) + " -> " + str(y))
# -*- coding: utf-8 -*-
#!/usr/bin/python
import tensorflow as tf
import tfutil
if __name__ == '__main__':
for xs in [(0, 0), (0, 1), (1, 0)]:
const1, const2 = tf.constant(xs[0]), tf.constant(xs[1])
# y : A Tensor . Must have the same type as x
y = tfutil.get_operation_value(tf.greater(const1, const2))
print(str(xs[0]) + " > " + str(xs[1]) + " -> " + str(y))
# -*- coding: utf-8 -*-
#!/usr/bin/python
import tensorflow as tf
import tfutil
if __name__ == '__main__':
for xs in [(0, 0), (0, 1), (1, 0)]:
const1, const2 = tf.constant(xs[0]), tf.constant(xs[1])
# y : A Tensor . Must have the same type as x
y = tfutil.get_operation_value(tf.less(const1, const2))
print(str(xs[0]) + " < " + str(xs[1]) + " -> " + str(y))