How to create tensor using "constant" function in TensorFlow?
The "constant" function is most popular function to create tensors. The only required argument is value or list of values used to create tensor.
The default data type is float32 is list of values are of floating type and int32 if values are integer type.
The default data type is float32 is list of values are of floating type and int32 if values are integer type.
## # TensorFlow program to create tensor using constant function. from __future__ import absolute_import from __future__ import division from __future__ import print_function import tensorflow as tf t1 = tf.constant([1, 2, 3]) t2 = tf.constant([[1.1, 2.2, 3.3], [4, 5, 6]]) t3 = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) t4 = tf.constant(["India", "Australia"]) t5 = tf.constant([15.5, 20.5, 35.5, 40.1, 80.5], tf.float16, [5], 'T5', False) sess = tf.Session() print(t1) print(t2) print("\n########################\n") print(t3) print(sess.run(t3)) print("\n########################\n") print(t4) print("\n########################\n") print(t5) print(sess.run(t5)) print("\n########################\n")
Sample output of above program.
2018-07-24T23:16:47+05:30
2018-07-24T23:16:47+05:30
Amit Arora
Amit Arora
Python Programming Tutorial
Python
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