How to print the value of a Tensor object in TensorFlow?

Question

I have been using the introductory example of matrix multiplication in TensorFlow.

matrix1 = tf.constant([[3., 3.]])
matrix2 = tf.constant([[2.],[2.]])
produ         


        

Answer 1

You should think of TensorFlow Core programs as consisting of two discrete sections:

• Building the computational graph.
• Running the computational graph.

So for the code below you just Build the computational graph.

matrix1 = tf.constant([[3., 3.]])
matrix2 = tf.constant([[2.],[2.]])
product = tf.matmul(matrix1, matrix2)

You need also To initialize all the variables in a TensorFlow program , you must explicitly call a special operation as follows:

init = tf.global_variables_initializer()

Now you build the graph and initialized all variables ,next step is to evaluate the nodes, you must run the computational graph within a session. A session encapsulates the control and state of the TensorFlow runtime.

The following code creates a Session object and then invokes its run method to run enough of the computational graph to evaluate product :

sess = tf.Session()
// run variables initializer
sess.run(init)

print(sess.run([product]))