Why is this Illegal instruction (core dumped) message showing up?
# File: tensorflow_installation_test.py
try:
import tensorflow as tf
import autokeras as ak
from sklearn.datasets import load_digits
print(f'TensorFlow version: {tf.__version__}')
print(f'AutoKeras version: {ak.__version__}')
# Create a simple TensorFlow computation
a = tf.constant([1.0, 2.0, 3.0, 4.0])
b = tf.constant([1.0, 2.0, 2.0, 2.0])
result = tf.multiply(a, b)
print(f'TensorFlow computation result: {result.numpy()}')
# Load a small subset of the MNIST digits dataset
digits = load_digits(n_class=2)
x = digits.data
y = digits.target
# Initialize the image classifier.
clf = ak.ImageClassifier(overwrite=True, max_trials=1)
# Feed the image classifier with training data.
clf.fit(x, y, epochs=1)
print('TensorFlow and AutoKeras are properly installed and working.')
except ImportError as e:
print(f'ImportError: {e}')
print('Please make sure TensorFlow and AutoKeras are installed.')
except Exception as e:
print(f'Unexpected error: {e}')
print('There might be a problem with your TensorFlow or AutoKeras installation.')
my_user_name@192:~/my_project_name$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Oct_11_21:27:02_PDT_2021
Cuda compilation tools, release 11.4, V11.4.152
Build cuda_11.4.r11.4/compiler.30521435_0
my_user_name@192:~/my_project_name$ nvidia-smi
Sat Dec 2 01:26:51 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.223.02 Driver Version: 470.223.02 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... Off | 00000000:03:00.0 N/A | N/A |
| 33% 28C P8 N/A / N/A | 14MiB / 3020MiB | N/A Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce ... Off | 00000000:84:00.0 N/A | N/A |
| 33% 29C P8 N/A / N/A | 6MiB / 3022MiB | N/A Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
my_user_name@192:~/my_project_name$ python3 tensorflow_installation_test.py
Illegal instruction (core dumped)
my_user_name@192:~/my_project_name$ python3 -m pip show tensorflow
Name: tensorflow
Version: 2.4.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/my_user_name/.local/lib/python3.8/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras-preprocessing, numpy, opt-einsum, protobuf, six, tensorboard, tensorflow-estimator, termcolor, typing-extensions, wheel, wrapt
Required-by: autokeras, tensorflow-text
my_user_name@192:~/my_project_name$ python3 -m pip show autokeras
Name: autokeras
Version: 1.0.13
Summary: AutoML for deep learning
Home-page: http://autokeras.com
Author: Data Analytics at Texas A&M (DATA) Lab, Keras Team
Author-email: jhfjhfj1@gmail.com
License: MIT
Location: /home/my_user_name/.local/lib/python3.8/site-packages
Requires: keras-tuner, packaging, pandas, scikit-learn, tensorflow
Required-by:
my_user_name@192:~/my_project_name$ python3 tensorflow_installation_test.py
Illegal instruction (core dumped)
my_user_name@192:~/my_project_name$