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Check the imported module in the failing process
Run these lines in the same Python interpreter or notebook kernel that raises the error:
import tensorflow as tf
print(tf.__file__)
print(tf.__version__)
print(tf.reduce_sum(tf.random.normal([1000, 1000])))TensorFlow documents the operation as tf.math.reduce_sum. Its official pip installation guide also uses the final expression above as a verification check. The printed path shows what Python imported; the version shows the version reported by that module.
Follow the result that fits your module path
The path points into your project
Look for a file named tensorflow.py or a directory named tensorflow in your project or working directory. Either can take precedence over the installed TensorFlow package during import. Rename the conflicting file or directory, remove stale bytecode if applicable, then restart Python or the notebook kernel before testing again.
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The path or version is unexpected
Your script may be running under a different Python environment from the one where TensorFlow was installed. Activate the environment intended for the project, then check the import path and version again in that environment. In a notebook, make sure the selected kernel belongs to the environment you intend to use.
If TensorFlow is absent or appears incorrectly installed in the intended environment, use the official installation guide and select instructions for your operating system, Python version, and CPU or GPU needs. The error alone does not identify a version to pin.
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The path and version look right, but the check still fails
Do not assume the cause from the error text alone. To narrow it down, collect the full traceback, Python executable, tf.__file__, tf.__version__, operating system, and installation method. Those details can distinguish an unexpected import from an installation or compatibility issue.
When TensorFlow compatibility APIs are relevant
If you are updating legacy TensorFlow 1.x code, TensorFlow provides tf.compat APIs and migration tooling to help with some transitions. Consult the version compatibility guide for version-specific details. These tools address legacy-code migration; they are not a general remedy for importing an unexpected or incomplete module.
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