tensorflow / tensorflow/probability
How to run/use bayesian_neural_network example
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Description
Hello all,
I found in the examples bayesian_neural_network.py which should train a bayesian neural network to classify MNIST digits.
Please is there any blog, readme or notes on how to use this script - it would be helpful to understand more.
Thank you.
it fails to run it on Window10 machine
>python bayesian_neural_network.py
2020-04-21 15:46:55.542625: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
Traceback (most recent call last):
File "bayesian_neural_network.py", line 366, in <module>
app.run(main)
File "C:\Anaconda3\envs\tf-gpu\lib\site-packages\absl\app.py", line 299, in run
_run_main(main, args)
File "C:\Anaconda3\envs\tf-gpu\lib\site-packages\absl\app.py", line 250, in _run_main
sys.exit(main(argv))
File "bayesian_neural_network.py", line 297, in main
tf.io.gfile.makedirs(FLAGS.model_dir)
File "C:\Anaconda3\envs\tf-gpu\lib\site-packages\tensorflow_core\python\lib\io\file_io.py", line 455, in recursive_create_dir_v2
pywrap_tensorflow.RecursivelyCreateDir(compat.as_bytes(path))
tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a directory: /tmp\bayesian_neural_network; No such file or directory
On my Linux machine, I got following errors
2020-04-21 16:20:12.937404: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
2020-04-21 16:20:13.198242: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
2020-04-21 16:20:13.198916: W tensorflow/core/common_runtime/base_collective_executor.cc:217] BaseCollectiveExecutor::StartAbort Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[{{node sequential/conv2d_flipout/Conv2D}}]]
2020-04-21 16:20:13.343447: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
2020-04-21 16:20:13.348532: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
Traceback (most recent call last):
File "bayesian_neural_network.py", line 366, in <module>
app.run(main)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "bayesian_neural_network.py", line 319, in main
batch_x, batch_y)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py", line 1123, in train_on_batch
outputs = self.train_function(ins) # pylint: disable=not-callable
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/keras/backend.py", line 3727, in __call__
outputs = self._graph_fn(*converted_inputs)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 1551, in __call__
return self._call_impl(args, kwargs)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 1591, in _call_impl
return self._call_flat(args, self.captured_inputs, cancellation_manager)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 1692, in _call_flat
ctx, args, cancellation_manager=cancellation_manager))
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 545, in call
ctx=ctx)
File "/home/anaconda3/envs/xAI/lib/python3.7/site-packages/tensorflow_core/python/eager/execute.py", line 67, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File "<string>", line 3, in raise_from
tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
[[node sequential/conv2d_flipout/Conv2D (defined at bayesian_neural_network.py:319) ]] [Op:__inference_keras_scratch_graph_3715]
Function call stack:
keras_scratch_graph
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- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Start with examples/bayesian_neural_network.py, especially the paths around lines 297 and 319 shown in the reports, and review how the example is invoked on Windows and Linux. Document the prerequisites, usage steps, and platform-specific failure guidance; done means a newcomer can run the MNIST example or identify the relevant environment issue.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100