module 'proximal' has no attribute 'patch_BM3D' about learn_prox_ops HOT 6 CLOSED

Hello and thank you for your interest in our research.
In order to use our code you should follow the installation steps in our README.rst. Your error comes from using the official ProxImaL package instead of our own modified version. Please install our version with pip3 install git+https://github.com/timmeinhardt/ProxImaL@learn_prox_ops. This includes the BM3D denoising proximal function.

If this resolves your issue please close it and do not hesitate to ask if you encounter further problems!

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Thank u,I have followed the installation steps and solved above problem.
But when I use python3 src/experiment_deblurring.py with experiment_name=experiment_a image_name=barbara elemental.optimal_DNCNN_experiment_a,I got a lot of Traceback,such as:
INFO:tensorflow:Restoring parameters from models/DNCNN__gaussian_0.02__40-40-1__128/model.ckpt
INFO - tensorflow - Restoring parameters from models/DNCNN__gaussian_0.02__40-40-1__128/model.ckpt
2018-04-06 20:21:00.430443: W tensorflow/core/framework/op_kernel.cc:1192] Data loss: not an sstable (bad magic number)
...
DataLossError (see above for traceback): not an sstable (bad magic number)
[[Node: save/RestoreV2_5 = RestoreV2[dtypes=[DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2_5/tensor_names, save/RestoreV2_5/shape_and_slices)]]
[[Node: save/RestoreV2_14/_5 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_76_save/RestoreV2_14", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]
I think there may be some problems when restoring parameters from checkpoint.

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Could you please check if your TensorFlow version is indeed 1.3.0.

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I used the command pip3 install tensorflow-gpu==1.3.0,and my TensorFlow version is tensorflow-gpu (1.3.0). In fact, I have used other versions of the TensorFlow as an attempt，but I still got the same TraceBack .

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And you also installed Git LSF and downloaded all the necessary model files? There must be three files in the corresponding subdirectory.

Edit.: I just reproduced the error when I clone the repository without Git LSF. Eventhough there are files in the model directories these are just 4kB placeholders.

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@Benlawei Can we close this issue or did you encounter any other troubles?

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