How to Print the Value of a Tensor Object in TensorFlow
When working with Tensor objects in TensorFlow, it's common to encounter the need to print their values. However, simply printing a Tensor object will only display its metadata, not its actual value.
Solution: Using Session.run() or Tensor.eval()
The most straightforward way to obtain the value of a Tensor object is to use the Session.run() method or the Tensor.eval() function. This evaluates the Tensor within a session, executing any necessary operations and returning its calculated value.
In an interactive session, you can use:
with tf.Session() as sess: print(product.eval())
Alternatively, you can explicitly create a session and run the Tensor:
sess = tf.Session() value = sess.run(product) print(value)
Alternative: Using tf.print() Operator
While not a direct way to print the value of a Tensor, the tf.print() operator can be used to display the value during execution. However, it requires manually running the operation, either using Session.run() or as a control dependency.
Deferred Execution in TensorFlow
It's important to note that in TensorFlow, operations are not executed until explicitly requested. This allows for efficient scheduling and optimization of operations within a session. Therefore, it's necessary to use a session to evaluate Tensors and obtain their values.
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