WARNING:tensorflow:From watermarks.py:298: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.
WARNING:tensorflow:From watermarks.py:282: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
W1109 16:02:22.012408 140498710181760 deprecation_wrapper.py:119] From watermarks.py:282: The name tf.Session is deprecated. Please use tf.compat.v1.Session instead.
2020-11-09 16:02:22.025011: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-11-09 16:02:22.028714: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2249995000 Hz
2020-11-09 16:02:22.028934: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x32032c0 executing computations on platform Host. Devices:
2020-11-09 16:02:22.028963: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
Traceback (most recent call last):
File "watermarks.py", line 298, in <module>
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "watermarks.py", line 289, in main
lambda: dataset_paths([FLAGS.selection]))
File "watermarks.py", line 117, in inference
next_image, iterator_init = dataset()
File "watermarks.py", line 286, in <lambda>
lambda: dataset_paths([FLAGS.image]),
File "/content/cnn-watermark-removal/dataset.py", line 50, in dataset_paths
dataset = tf.Dataset.from_tensor_slices(tf.constant(paths))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/deprecation_wrapper.py", line 106, in __getattr__
attr = getattr(self._dw_wrapped_module, name)
AttributeError: module 'tensorflow' has no attribute 'Dataset'
!python watermarks.py --image assets/cat.png --selection assets/cat-selection.png --dataset=dataset_cifar --batch_size 32