1# If you have a file called tensorflow.py in your project:
2import tensorflow as tf
3print(tf.__file__)
4# Output: ./tensorflow.py  <-- WRONG (your local file)
5# Expected: /usr/lib/python3.10/site-packages/tensorflow/__init__.py
6
7tf.constant(5)
8# AttributeError: module 'tensorflow' has no attribute 'constant'

1# Check which module is loaded
2python3 -c "import tensorflow; print(tensorflow.__file__)"
3
4# Remove the local file and its cache
5rm tensorflow.py
6rm -rf __pycache__/tensorflow*
7
8# Verify
9python3 -c "import tensorflow as tf; print(tf.__version__)"

1# Uninstall completely and reinstall
2pip3 uninstall tensorflow tensorflow-gpu tensorflow-estimator tensorflow-io -y
3pip3 cache purge
4pip3 install tensorflow
5
6# Verify installation
7python3 -c "import tensorflow as tf; print(tf.__version__); print(tf.reduce_sum([1, 2, 3]))"

1pip3 install tensorflow[and-cuda]
2
3# Check GPU availability
4python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

1import tensorflow as tf
2
3# TF1 code that fails on TF2
4sess = tf.Session()          # AttributeError in TF2
5placeholder = tf.placeholder(tf.float32)  # AttributeError in TF2
6
7# TF2 equivalents
8# tf.Session() → Eager execution is default, no session needed
9result = tf.constant(5) + tf.constant(3)
10print(result.numpy())  # 8
11
12# tf.placeholder → Use tf.function with input signatures
13@tf.function(input_signature=[tf.TensorSpec(shape=(), dtype=tf.float32)])
14def add_one(x):
15    return x + 1
16
17print(add_one(tf.constant(5.0)))

1import tensorflow.compat.v1 as tf
2tf.disable_v2_behavior()
3
4# TF1 code now works
5sess = tf.Session()
6x = tf.placeholder(tf.float32)
7result = sess.run(x + 1, feed_dict={x: 5.0})
8print(result)  # 6.0

1# Check which python and pip are active
2which python3
3which pip3
4
5# Ensure pip installs to the same python
6python3 -m pip install tensorflow
7
8# Verify
9python3 -m pip show tensorflow

1# Create a clean virtual environment
2python3 -m venv tf_env
3source tf_env/bin/activate
4pip install tensorflow
5
6python3 -c "import tensorflow as tf; print(tf.__version__); print(dir(tf)[:10])"

1import sys
2print('\n'.join(sys.path))
3
4# Look for unexpected directories that might contain a tensorflow module
5# Remove or rename any conflicting package

1# Check for other tensorflow-related packages
2pip3 list | grep tensor
3
4# If tensorflow-gpu and tensorflow are both installed, remove one
5pip3 uninstall tensorflow-gpu
6pip3 install tensorflow

1import sys
2print(f"Python: {sys.executable}")
3print(f"Version: {sys.version}")
4print(f"Path: {sys.path[:3]}")
5
6try:
7    import tensorflow as tf
8    print(f"\ntf.__file__: {tf.__file__}")
9    print(f"tf.__version__: {tf.__version__}")
10    print(f"Has keras: {hasattr(tf, 'keras')}")
11    print(f"Has constant: {hasattr(tf, 'constant')}")
12    print(f"Has reduce_sum: {hasattr(tf, 'reduce_sum')}")
13except AttributeError as e:
14    print(f"\nAttributeError: {e}")
15    print(f"tf.__file__: {tf.__file__}")
16    print("This is likely a local file shadowing the real TensorFlow package")
17except ImportError as e:
18    print(f"\nImportError: {e}")
19    print("TensorFlow is not installed in this environment")