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Simple hello world using TensorFlow

Fixed Python 3.12 · checked 16 Oct 2026 · model cost $0.014

The original code failed with an AttributeError because TensorFlow 2.x removed the tf.Session API in favor of eager execution. After applying the fix, the hello constant is evaluated directly without creating a session, so the tutorial now runs successfully under Python 3.12 with TensorFlow 2.x.

3 changes to make it work today

Create constant op

s3 · run_code migrate

In TensorFlow 2.x eager execution, tensors evaluate immediately. Printing the tensor directly shows its value without needing a session.

@@ -8,2 +8,3 @@

hello = tf.constant('Hello, TensorFlow!')

+print(hello)

Sources

Fixing the "AttributeError: module 'tensorflow' has no attribute 'Session'" Error - GeeksforGeeksThe error message "AttributeError: module 'tensorflow' has no attribute 'Session'" typically occurs when using TensorFlow version 2.x. This error is due to the fact that the `Session` object, which was a core component in TensorFlow 1.x for executing operations in a computational graph, has been removed in TensorFlow 2.x. The new version of TensorFlow defaults to eager execution, which evaluates operations immediately without the need for a session, making the development process more intuitive and straightforward. [...] ## Why Does This Error Occur?
Module: tf.compat.v1 | TensorFlow v2.16.1`class InteractiveSession`: A TensorFlow `Session` for use in interactive contexts, such as a shell.

Start TensorFlow session

s4 · run_code migrate

tf.Session was removed in TensorFlow 2.x. Eager execution evaluates operations immediately.

@@ -1,2 +1 @@

-# Start tf session

-sess = tf.Session()

+# No session needed in TensorFlow 2.x eager execution

Sources

Fixing the "AttributeError: module 'tensorflow' has no attribute 'Session'" Error - GeeksforGeeksThe error message "AttributeError: module 'tensorflow' has no attribute 'Session'" typically occurs when using TensorFlow version 2.x. This error is due to the fact that the `Session` object, which was a core component in TensorFlow 1.x for executing operations in a computational graph, has been removed in TensorFlow 2.x. The new version of TensorFlow defaults to eager execution, which evaluates operations immediately without the need for a session, making the development process more intuitive and straightforward. [...] ## Why Does This Error Occur?
Module: tf.compat.v1 | TensorFlow v2.16.1`class InteractiveSession`: A TensorFlow `Session` for use in interactive contexts, such as a shell.

Run graph and print result

s5 · run_code migrate

The print in step s3 already outputs the tensor value. This step is kept for tutorial structure but does no work.

@@ -1,2 +1 @@

-# Run graph

-print(sess.run(hello))

+# The value was already printed above

Sources

Fixing the "AttributeError: module 'tensorflow' has no attribute 'Session'" Error - GeeksforGeeksThe error message "AttributeError: module 'tensorflow' has no attribute 'Session'" typically occurs when using TensorFlow version 2.x. This error is due to the fact that the `Session` object, which was a core component in TensorFlow 1.x for executing operations in a computational graph, has been removed in TensorFlow 2.x. The new version of TensorFlow defaults to eager execution, which evaluates operations immediately without the need for a session, making the development process more intuitive and straightforward. [...] ## Why Does This Error Occur?

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