Running and Verification

After building and installing TensorFlow 1.15.5, use the built-in test cases to verify its basic functions. This document uses the image recognition test case to verify TensorFlow.

1. Verify the TensorFlow version in the non-source code directory.

   1	python3 -c "import tensorflow as tf; print(tf.__version__)"

   

   The command output shows that the version is 1.15.5.

2. Verify basic functions.

   The following operations use the TensorFlow-provided image recognition test case as an example.

   1. Go to the compilation path for TensorFlow source code.

      1	cd /path/to/tensorflow

   2. Obtain model data and verification data.

      1 2	curl -L "https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz" | tar -C tensorflow/examples/label_image/data -xz wget -P tensorflow/examples/label_image/data/ https://www.tensorflow.org/images/cropped_panda.jpg --no-check-certificate

   3. Run the test case.

      1	python3 tensorflow/examples/label_image/label_image.py --image=tensorflow/examples/label_image/data/cropped_panda.jpg

      

      The command output shows that there is the highest probability that image tensorflow/examples/label_image/data/cropped_panda.jpg is identified as a giant panda.

   

   Test reference: https://github.com/tensorflow/tensorflow/blob/v1.15.5/tensorflow/examples/label_image/README.md.