[Bug] spleeter-gpu is unusable out of the box
See original GitHub issueDescription
I tried, once again, to get spleeter running on the GPU, but I just can’t do it. I never directly worked with TensorFlow or any other ML software package, so I can’t even begin to debug this.
Step to reproduce
- Install CUDA 10.2 on a fresh, fully up-to-date Windows 10 installation
- Install Miniconda
- Install spleeter-gpu using
conda install -c conda-forge spleeter-gpu
in the Anaconda Prompt - Run
spleeter separate -o Spleeter -m -p spleeter:2stems-16kHz -i "audiofile.m4a"
Output
Traceback (most recent call last):
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1356, in _do_call
return fn(*args)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1341, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1429, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
(0) 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 conv2d_7/Conv2D}}]]
[[strided_slice_25/_309]]
(1) 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 conv2d_7/Conv2D}}]]
0 successful operations.
0 derived errors ignored.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\users\user\miniconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "c:\users\user\miniconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\user\Miniconda3\Scripts\spleeter.exe\__main__.py", line 7, in <module>
File "c:\users\user\miniconda3\lib\site-packages\spleeter\__main__.py", line 54, in entrypoint
main(sys.argv)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\__main__.py", line 46, in main
entrypoint(arguments, params)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\commands\separate.py", line 43, in entrypoint
synchronous=False
File "c:\users\user\miniconda3\lib\site-packages\spleeter\separator.py", line 123, in separate_to_file
sources = self.separate(waveform)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\separator.py", line 89, in separate
'audio_id': ''})
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\contrib\predictor\predictor.py", line 77, in __call__
return self._session.run(fetches=self.fetch_tensors, feed_dict=feed_dict)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 950, in run
run_metadata_ptr)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1173, in _run
feed_dict_tensor, options, run_metadata)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1350, in _do_run
run_metadata)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\client\session.py", line 1370, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
(0) 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 conv2d_7/Conv2D (defined at c:\users\user\miniconda3\lib\site-packages\spleeter\utils\estimator.py:71) ]]
[[strided_slice_25/_309]]
(1) 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 conv2d_7/Conv2D (defined at c:\users\user\miniconda3\lib\site-packages\spleeter\utils\estimator.py:71) ]]
0 successful operations.
0 derived errors ignored.
Original stack trace for 'conv2d_7/Conv2D':
File "c:\users\user\miniconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "c:\users\user\miniconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\user\Miniconda3\Scripts\spleeter.exe\__main__.py", line 7, in <module>
sys.exit(entrypoint())
File "c:\users\user\miniconda3\lib\site-packages\spleeter\__main__.py", line 54, in entrypoint
main(sys.argv)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\__main__.py", line 46, in main
entrypoint(arguments, params)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\commands\separate.py", line 43, in entrypoint
synchronous=False
File "c:\users\user\miniconda3\lib\site-packages\spleeter\separator.py", line 123, in separate_to_file
sources = self.separate(waveform)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\separator.py", line 86, in separate
predictor = self._get_predictor()
File "c:\users\user\miniconda3\lib\site-packages\spleeter\separator.py", line 58, in _get_predictor
self._predictor = to_predictor(estimator)
File "c:\users\user\miniconda3\lib\site-packages\spleeter\utils\estimator.py", line 71, in to_predictor
return predictor.from_saved_model(latest)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\contrib\predictor\predictor_factories.py", line 153, in from_saved_model
config=config)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\contrib\predictor\saved_model_predictor.py", line 153, in __init__
loader.load(self._session, tags.split(','), export_dir)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 269, in load
return loader.load(sess, tags, import_scope, **saver_kwargs)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 422, in load
**saver_kwargs)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\saved_model\loader_impl.py", line 352, in load_graph
meta_graph_def, import_scope=import_scope, **saver_kwargs)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\training\saver.py", line 1473, in _import_meta_graph_with_return_elements
**kwargs))
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\meta_graph.py", line 857, in import_scoped_meta_graph_with_return_elements
return_elements=return_elements)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 443, in import_graph_def
_ProcessNewOps(graph)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\importer.py", line 236, in _ProcessNewOps
for new_op in graph._add_new_tf_operations(compute_devices=False): # pylint: disable=protected-access
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3751, in _add_new_tf_operations
for c_op in c_api_util.new_tf_operations(self)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3751, in <listcomp>
for c_op in c_api_util.new_tf_operations(self)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3641, in _create_op_from_tf_operation
ret = Operation(c_op, self)
File "c:\users\user\miniconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in __init__
self._traceback = tf_stack.extract_stack()
Environment
OS | Windows 10 |
Installation type | Conda |
RAM available | 32 GB |
Hardware spec | Ryzen 9 3900x / RTX 2070 Super |
Issue Analytics
- State:
- Created 4 years ago
- Comments:19
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Here are some possible fixes:
python -m spleeter.......
@Laurent172 really? Nice. But I can’t get it to work. Is it for the latest Spleeter or the old one with the label
cf202003
?I am having so much issues it’s insane.
Edit: Ok so I uninstalled Anaconda, removed any Anaconda related files in
c:/users/username/
. I then reinstalled Anaconda, created a new conda env, and installedconda install -c conda-forge/label/cf202003 spleeter-gpu
.This allows me to process a ~3 minute file in less than 10 seconds using my RTX2080.
This is EXACTLY what I want.
I’m going to see how it performs on my production server when people are using my service.