I was running through Google's Tensorflow's fully_connected_reader.py example (I have executed convert_to_record.py, and source code is here:
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/how_tos/reading_data):
python fully_connected_reader.py
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcublas.so.7.0 locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcudnn.so.6.5 locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcufft.so.7.0 locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcuda.so locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcurand.so.7.0 locally
Traceback (most recent call last):
File "fully_connected_reader.py", line 198, in <module>
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "fully_connected_reader.py", line 194, in main
run_training()
File "fully_connected_reader.py", line 135, in run_training
num_epochs=FLAGS.num_epochs)
File "fully_connected_reader.py", line 114, in inputs
image, label = read_and_decode(filename_queue)
File "fully_connected_reader.py", line 62, in read_and_decode
'image_raw': tf.FixedLenFeature([], tf.string),
AttributeError: 'module' object has no attribute 'FixedLenFeature'
Anyone got any idea? (it is running from the latest github version).
If you are using TensorFlow 2.x, FixedLenFeature has moved from tf.FixedLenFeature
into tf.io.FixedLenFeature
.
The use of tf.FixedLenFeature
was marked as deprecated in previous versions.
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