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PROBLEMS USING CWS-PResUNet ON WINDOWS #1

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lucasdobr15 opened this issue Aug 27, 2021 · 5 comments
Closed

PROBLEMS USING CWS-PResUNet ON WINDOWS #1

lucasdobr15 opened this issue Aug 27, 2021 · 5 comments

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@lucasdobr15
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lucasdobr15 commented Aug 27, 2021 •
edited

Hello, I am facing difficulties trying to use CWS-PResUNet on Windows 10, see below the logs of the problem I am having, if you can let me know where the problem is, I await your feedback, I will be very grateful thank you.

(base) C:\Users\lucas\CWS>``
error

Collecting aicrowd_api
  Using cached aicrowd_api-0.1.23.tar.gz (7.6 kB)
Collecting coloredlogs
  Using cached coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)
Requirement already satisfied: numpy in c:\programdata\anaconda3\lib\site-packages (from -r requirements.txt (line 3)) (1.20.1)
Collecting loguru
  Using cached loguru-0.5.3-py3-none-any.whl (57 kB)
Collecting boto3
  Downloading boto3-1.18.31-py3-none-any.whl (131 kB)
     |████████████████████████████████| 131 kB 1.6 MB/s
Collecting openunmix
  Using cached openunmix-1.2.1-py3-none-any.whl (46 kB)
Collecting musdb
  Using cached musdb-0.4.0-py2.py3-none-any.whl (29 kB)
Collecting SoundFile
  Using cached SoundFile-0.10.3.post1-py2.py3.cp26.cp27.cp32.cp33.cp34.cp35.cp36.pp27.pp32.pp33-none-win_amd64.whl (689 kB)
Requirement already satisfied: scipy in c:\programdata\anaconda3\lib\site-packages (from -r requirements.txt (line 9)) (1.6.2)
Collecting norbert
  Using cached norbert-0.2.1-py2.py3-none-any.whl (11 kB)
Collecting asteroid>=0.5.0
  Using cached asteroid-0.5.1-py3-none-any.whl (241 kB)
Collecting torch
  Downloading torch-1.9.0-cp38-cp38-win_amd64.whl (222.0 MB)
     |████████████████████████████████| 222.0 MB 2.2 MB/s
Collecting librosa
  Downloading librosa-0.8.1-py3-none-any.whl (203 kB)
     |████████████████████████████████| 203 kB 3.3 MB/s
Collecting torchlibrosa==0.0.7
  Using cached torchlibrosa-0.0.7-py3-none-any.whl (10 kB)
Requirement already satisfied: matplotlib in c:\programdata\anaconda3\lib\site-packages (from -r requirements.txt (line 16)) (3.3.4)
Requirement already satisfied: setuptools in c:\programdata\anaconda3\lib\site-packages (from -r requirements.txt (line 17)) (52.0.0.post20210125)
Collecting setuptools-scm
  Using cached setuptools_scm-6.0.1-py3-none-any.whl (27 kB)
Collecting tensorboardX
  Using cached tensorboardX-2.4-py2.py3-none-any.whl (124 kB)
Collecting torchvision
  Downloading torchvision-0.10.0-cp38-cp38-win_amd64.whl (920 kB)
     |████████████████████████████████| 920 kB 2.2 MB/s
Requirement already satisfied: pillow in c:\programdata\anaconda3\lib\site-packages (from -r requirements.txt (line 21)) (8.2.0)
Collecting julius
  Using cached julius-0.2.5.tar.gz (58 kB)
Collecting diffq
  Using cached diffq-0.1.1.tar.gz (34 kB)
Collecting demucs
  Using cached demucs-2.0.3.tar.gz (51 kB)
Collecting typing
  Using cached typing-3.7.4.3.tar.gz (78 kB)
Collecting pynvml
  Using cached pynvml-11.0.0-py3-none-any.whl (46 kB)
Collecting GitPython
  Downloading GitPython-3.1.18-py3-none-any.whl (170 kB)
     |████████████████████████████████| 170 kB 3.3 MB/s
Collecting progressbar
  Using cached progressbar-2.5.tar.gz (10 kB)
Collecting torch-optimizer>=0.0.1a12
  Using cached torch_optimizer-0.1.0-py3-none-any.whl (72 kB)
Collecting huggingface-hub>=0.0.2
  Downloading huggingface_hub-0.0.16-py3-none-any.whl (50 kB)
     |████████████████████████████████| 50 kB 3.2 MB/s
Requirement already satisfied: PyYAML>=5.0 in c:\programdata\anaconda3\lib\site-packages (from asteroid>=0.5.0->-r requirements.txt (line 11)) (5.4.1)
Requirement already satisfied: pandas>=0.23.4 in c:\programdata\anaconda3\lib\site-packages (from asteroid>=0.5.0->-r requirements.txt (line 11)) (1.2.4)
Collecting pb-bss-eval>=0.0.2
  Using cached pb_bss_eval-0.0.2-py3-none-any.whl (14 kB)
Collecting torch-stoi>=0.1.2
  Using cached torch_stoi-0.1.2.tar.gz (6.4 kB)
Collecting asteroid-filterbanks>=0.4.0
  Using cached asteroid_filterbanks-0.4.0-py3-none-any.whl (29 kB)
Collecting torchaudio>=0.5.0
  Downloading torchaudio-0.9.0-cp38-cp38-win_amd64.whl (215 kB)
     |████████████████████████████████| 215 kB 3.2 MB/s
Collecting pytorch-lightning>=1.0.1
  Downloading pytorch_lightning-1.4.4-py3-none-any.whl (918 kB)
     |████████████████████████████████| 918 kB 2.2 MB/s
Requirement already satisfied: cffi>=1.0 in c:\programdata\anaconda3\lib\site-packages (from SoundFile->-r requirements.txt (line 8)) (1.14.5)
Requirement already satisfied: typing-extensions in c:\programdata\anaconda3\lib\site-packages (from torch->-r requirements.txt (line 12)) (3.7.4.3)
Requirement already satisfied: pycparser in c:\programdata\anaconda3\lib\site-packages (from cffi>=1.0->SoundFile->-r requirements.txt (line 8)) (2.20)
Requirement already satisfied: packaging>=20.9 in c:\programdata\anaconda3\lib\site-packages (from huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (20.9)
Requirement already satisfied: filelock in c:\programdata\anaconda3\lib\site-packages (from huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (3.0.12)
Requirement already satisfied: requests in c:\programdata\anaconda3\lib\site-packages (from huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (2.25.1)
Requirement already satisfied: tqdm in c:\programdata\anaconda3\lib\site-packages (from huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (4.59.0)
Requirement already satisfied: pyparsing>=2.0.2 in c:\programdata\anaconda3\lib\site-packages (from packaging>=20.9->huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (2.4.7)
Requirement already satisfied: python-dateutil>=2.7.3 in c:\programdata\anaconda3\lib\site-packages (from pandas>=0.23.4->asteroid>=0.5.0->-r requirements.txt (line 11)) (2.8.1)
Requirement already satisfied: pytz>=2017.3 in c:\programdata\anaconda3\lib\site-packages (from pandas>=0.23.4->asteroid>=0.5.0->-r requirements.txt (line 11)) (2021.1)
Collecting pesq
  Using cached pesq-0.0.3.tar.gz (35 kB)
Collecting pystoi
  Using cached pystoi-0.3.3.tar.gz (7.0 kB)
Collecting mir-eval
  Using cached mir_eval-0.6.tar.gz (87 kB)
Collecting einops
  Using cached einops-0.3.0-py2.py3-none-any.whl (25 kB)
Collecting cached-property
  Using cached cached_property-1.5.2-py2.py3-none-any.whl (7.6 kB)
Requirement already satisfied: six>=1.5 in c:\programdata\anaconda3\lib\site-packages (from python-dateutil>=2.7.3->pandas>=0.23.4->asteroid>=0.5.0->-r requirements.txt (line 11)) (1.15.0)
Collecting tensorboard>=2.2.0
  Using cached tensorboard-2.6.0-py3-none-any.whl (5.6 MB)
Collecting torchmetrics>=0.4.0
  Downloading torchmetrics-0.5.0-py3-none-any.whl (272 kB)
     |████████████████████████████████| 272 kB 3.2 MB/s
Requirement already satisfied: future>=0.17.1 in c:\programdata\anaconda3\lib\site-packages (from pytorch-lightning>=1.0.1->asteroid>=0.5.0->-r requirements.txt (line 11)) (0.18.2)
Collecting pyDeprecate==0.3.1
  Using cached pyDeprecate-0.3.1-py3-none-any.whl (10 kB)
Collecting fsspec[http]!=2021.06.0,>=2021.05.0
  Using cached fsspec-2021.7.0-py3-none-any.whl (118 kB)
Collecting aiohttp
  Downloading aiohttp-3.7.4.post0-cp38-cp38-win_amd64.whl (635 kB)
     |████████████████████████████████| 635 kB 3.3 MB/s
Collecting tensorboard-data-server<0.7.0,>=0.6.0
  Using cached tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Collecting google-auth-oauthlib<0.5,>=0.4.1
  Using cached google_auth_oauthlib-0.4.5-py2.py3-none-any.whl (18 kB)
Collecting google-auth<2,>=1.6.3
  Downloading google_auth-1.35.0-py2.py3-none-any.whl (152 kB)
     |████████████████████████████████| 152 kB 2.2 MB/s
Collecting markdown>=2.6.8
  Using cached Markdown-3.3.4-py3-none-any.whl (97 kB)
Collecting protobuf>=3.6.0
  Using cached protobuf-3.17.3-cp38-cp38-win_amd64.whl (909 kB)
Requirement already satisfied: wheel>=0.26 in c:\programdata\anaconda3\lib\site-packages (from tensorboard>=2.2.0->pytorch-lightning>=1.0.1->asteroid>=0.5.0->-r requirements.txt (line 11)) (0.36.2)
Collecting grpcio>=1.24.3
  Downloading grpcio-1.39.0-cp38-cp38-win_amd64.whl (3.2 MB)
     |████████████████████████████████| 3.2 MB 3.2 MB/s
Collecting absl-py>=0.4
  Using cached absl_py-0.13.0-py3-none-any.whl (132 kB)
Requirement already satisfied: werkzeug>=0.11.15 in c:\programdata\anaconda3\lib\site-packages (from tensorboard>=2.2.0->pytorch-lightning>=1.0.1->asteroid>=0.5.0->-r requirements.txt (line 11)) (1.0.1)
Collecting tensorboard-plugin-wit>=1.6.0
  Using cached tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
Collecting rsa<5,>=3.1.4
  Using cached rsa-4.7.2-py3-none-any.whl (34 kB)
Collecting cachetools<5.0,>=2.0.0
  Using cached cachetools-4.2.2-py3-none-any.whl (11 kB)
Collecting pyasn1-modules>=0.2.1
  Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting requests-oauthlib>=0.7.0
  Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting pyasn1<0.5.0,>=0.4.6
  Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Requirement already satisfied: certifi>=2017.4.17 in c:\programdata\anaconda3\lib\site-packages (from requests->huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (2020.12.5)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\programdata\anaconda3\lib\site-packages (from requests->huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (1.26.4)
Requirement already satisfied: chardet<5,>=3.0.2 in c:\programdata\anaconda3\lib\site-packages (from requests->huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (4.0.0)
Requirement already satisfied: idna<3,>=2.5 in c:\programdata\anaconda3\lib\site-packages (from requests->huggingface-hub>=0.0.2->asteroid>=0.5.0->-r requirements.txt (line 11)) (2.10)
Collecting oauthlib>=3.0.0
  Using cached oauthlib-3.1.1-py2.py3-none-any.whl (146 kB)
Collecting pytorch-ranger>=0.1.1
  Using cached pytorch_ranger-0.1.1-py3-none-any.whl (14 kB)
Collecting redis
  Using cached redis-3.5.3-py2.py3-none-any.whl (72 kB)
Collecting botocore<1.22.0,>=1.21.31
  Downloading botocore-1.21.31-py3-none-any.whl (7.8 MB)
     |████████████████████████████████| 7.8 MB 3.3 MB/s
Collecting jmespath<1.0.0,>=0.7.1
  Using cached jmespath-0.10.0-py2.py3-none-any.whl (24 kB)
Collecting s3transfer<0.6.0,>=0.5.0
  Using cached s3transfer-0.5.0-py3-none-any.whl (79 kB)
Collecting humanfriendly>=9.1
  Using cached humanfriendly-9.2-py2.py3-none-any.whl (86 kB)
Requirement already satisfied: pyreadline in c:\programdata\anaconda3\lib\site-packages (from humanfriendly>=9.1->coloredlogs->-r requirements.txt (line 2)) (2.1)
Collecting lameenc>=1.2
  Downloading lameenc-1.3.1-cp38-cp38-win_amd64.whl (188 kB)
     |████████████████████████████████| 188 kB 3.3 MB/s
Collecting gitdb<5,>=4.0.1
  Downloading gitdb-4.0.7-py3-none-any.whl (63 kB)
     |████████████████████████████████| 63 kB 4.5 MB/s
Collecting smmap<5,>=3.0.1
  Downloading smmap-4.0.0-py2.py3-none-any.whl (24 kB)
Requirement already satisfied: joblib>=0.14 in c:\programdata\anaconda3\lib\site-packages (from librosa->-r requirements.txt (line 14)) (1.0.1)
Collecting resampy>=0.2.2
  Using cached resampy-0.2.2.tar.gz (323 kB)
Requirement already satisfied: scikit-learn!=0.19.0,>=0.14.0 in c:\programdata\anaconda3\lib\site-packages (from librosa->-r requirements.txt (line 14)) (0.24.1)
Collecting audioread>=2.0.0
  Using cached audioread-2.1.9.tar.gz (377 kB)
Requirement already satisfied: numba>=0.43.0 in c:\programdata\anaconda3\lib\site-packages (from librosa->-r requirements.txt (line 14)) (0.53.1)
Collecting pooch>=1.0
  Downloading pooch-1.5.1-py3-none-any.whl (57 kB)
     |████████████████████████████████| 57 kB 1.5 MB/s
Requirement already satisfied: decorator>=3.0.0 in c:\programdata\anaconda3\lib\site-packages (from librosa->-r requirements.txt (line 14)) (5.0.6)
Requirement already satisfied: llvmlite<0.37,>=0.36.0rc1 in c:\programdata\anaconda3\lib\site-packages (from numba>=0.43.0->librosa->-r requirements.txt (line 14)) (0.36.0)
Requirement already satisfied: appdirs in c:\programdata\anaconda3\lib\site-packages (from pooch>=1.0->librosa->-r requirements.txt (line 14)) (1.4.4)
Requirement already satisfied: threadpoolctl>=2.0.0 in c:\programdata\anaconda3\lib\site-packages (from scikit-learn!=0.19.0,>=0.14.0->librosa->-r requirements.txt (line 14)) (2.1.0)
Requirement already satisfied: colorama>=0.3.4 in c:\programdata\anaconda3\lib\site-packages (from loguru->-r requirements.txt (line 4)) (0.4.4)
Collecting win32-setctime>=1.0.0
  Using cached win32_setctime-1.0.3-py3-none-any.whl (3.5 kB)
Requirement already satisfied: cycler>=0.10 in c:\programdata\anaconda3\lib\site-packages (from matplotlib->-r requirements.txt (line 16)) (0.10.0)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\programdata\anaconda3\lib\site-packages (from matplotlib->-r requirements.txt (line 16)) (1.3.1)
Collecting stempeg>=0.2.3
  Using cached stempeg-0.2.3-py3-none-any.whl (963 kB)
Collecting pyaml
  Downloading pyaml-21.8.3-py2.py3-none-any.whl (17 kB)
Collecting ffmpeg-python>=0.2.0
  Using cached ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)
Collecting async-timeout<4.0,>=3.0
  Using cached async_timeout-3.0.1-py3-none-any.whl (8.2 kB)
Requirement already satisfied: attrs>=17.3.0 in c:\programdata\anaconda3\lib\site-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch-lightning>=1.0.1->asteroid>=0.5.0->-r requirements.txt (line 11)) (20.3.0)
Collecting yarl<2.0,>=1.0
  Downloading yarl-1.6.3-cp38-cp38-win_amd64.whl (125 kB)
     |████████████████████████████████| 125 kB 3.3 MB/s
Collecting multidict<7.0,>=4.5
  Downloading multidict-5.1.0-cp38-cp38-win_amd64.whl (48 kB)
     |████████████████████████████████| 48 kB 3.2 MB/s
Building wheels for collected packages: torch-stoi, aicrowd-api, demucs, diffq, julius, audioread, resampy, progressbar, typing, mir-eval, pesq, pystoi
  Building wheel for torch-stoi (setup.py) ... done
  Created wheel for torch-stoi: filename=torch_stoi-0.1.2-py3-none-any.whl size=6198 sha256=5631125bf34346dd6e26a5cccf9bedb54f60d1cfb2ca9a87f3ca8c52c6d47dd0
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\55\96\76\4e46c2df4cfd5c6411d5d18bb46dd52552bdce0df460f94dc0
  Building wheel for aicrowd-api (setup.py) ... done
  Created wheel for aicrowd-api: filename=aicrowd_api-0.1.23-py2.py3-none-any.whl size=9074 sha256=88915cc65d57d1141ef8f616050d99e74cf7e52ea3c4ccbe0b48f9969d07a655
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\3f\3c\8d\c3b51a33f18a288aa05dcbc1719914ba209d8024679a5cc7c6
  Building wheel for demucs (setup.py) ... done
  Created wheel for demucs: filename=demucs-2.0.3-py3-none-any.whl size=44124 sha256=60cf1145dc3b220654fc5315f3828a8aab8375a37a8e4d068db0c743b935da39
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\05\5d\32\1b3f8e215f48f022fb1e61ce0278413ec70a7f79624cdd4f34
  Building wheel for diffq (setup.py) ... done
  Created wheel for diffq: filename=diffq-0.1.1-py3-none-any.whl size=18968 sha256=b05c11cc7927bc6071df4792b93da2e2f19c214e4b4370cf694477efc1fd4e3e
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\a8\7d\03\1dd37526a1604522a917a81b0b9bae38d40ce11a74c3c95186
  Building wheel for julius (setup.py) ... done
  Created wheel for julius: filename=julius-0.2.5-py3-none-any.whl size=20813 sha256=bd8e409152b810e387d067d29fa6ca4a0067c3fef7af573c9c80baf267491dfe
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\6d\ff\66\088e6c688cb47c6e2afe6559b7a7ddcffbf53ccaae92b90bf4
  Building wheel for audioread (setup.py) ... done
  Created wheel for audioread: filename=audioread-2.1.9-py3-none-any.whl size=23141 sha256=e5c8ad0b0ae24c7961cba245bda2dec2ce99e2c89c26086a21052bd9aa71c162
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\49\5a\e4\df590783499a992a88de6c0898991d1167453a3196d0d1eeb7
  Building wheel for resampy (setup.py) ... done
  Created wheel for resampy: filename=resampy-0.2.2-py3-none-any.whl size=320718 sha256=9fe4056854b7b2b78d5d43c95a4ac3aa4c720d51211b076ce22f069ca8d9060d
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\6f\d1\5d\f13da53b1dcbc2624ff548456c9ffb526c914f53c12c318bb4
  Building wheel for progressbar (setup.py) ... done
  Created wheel for progressbar: filename=progressbar-2.5-py3-none-any.whl size=12075 sha256=12fb0f8bfb2f7fdf35adfdcb282b58129be1d9d5afd225ec6e802ce7bf966f7d
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\2c\67\ed\d84123843c937d7e7f5ba88a270d11036473144143355e2747
  Building wheel for typing (setup.py) ... done
  Created wheel for typing: filename=typing-3.7.4.3-py3-none-any.whl size=26308 sha256=39ae383c669e6592a133ddf74f66c27cd510de6b6ac702f1d230776ab4c519b7
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\5e\5d\01\3083e091b57809dad979ea543def62d9d878950e3e74f0c930
  Building wheel for mir-eval (setup.py) ... done
  Created wheel for mir-eval: filename=mir_eval-0.6-py3-none-any.whl size=96514 sha256=1376f8f0e69d284d5e046c2284a80c38efbf6d9d661c982931ddf12b3ab1b82f
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\1c\47\0b\416b95d5fceba56809699852c33ae5291ffd2f0e73181ffd6c
  Building wheel for pesq (setup.py) ... error
  ERROR: Command errored out with exit status 1:
   command: 'C:\ProgramData\Anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"'; __file__='"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\lucas\AppData\Local\Temp\pip-wheel-k9wuzi4j'
       cwd: C:\Users\lucas\AppData\Local\Temp\pip-install-n_qyux9y\pesq_ed38c459ee364f729530065fe03e90dc\
  Complete output (22 lines):
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build\lib.win-amd64-3.8
  creating build\lib.win-amd64-3.8\pesq
  copying pesq\__init__.py -> build\lib.win-amd64-3.8\pesq
  copying pesq\cypesq.pyx -> build\lib.win-amd64-3.8\pesq
  copying pesq\dsp.h -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesq.h -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesqio.h -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesqmain.h -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesqpar.h -> build\lib.win-amd64-3.8\pesq
  copying pesq\dsp.c -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesqdsp.c -> build\lib.win-amd64-3.8\pesq
  copying pesq\pesqmod.c -> build\lib.win-amd64-3.8\pesq
  running build_ext
  cythoning pesq/cypesq.pyx to pesq\cypesq.c
  C:\ProgramData\Anaconda3\lib\site-packages\Cython\Compiler\Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: C:\Users\lucas\AppData\Local\Temp\pip-install-n_qyux9y\pesq_ed38c459ee364f729530065fe03e90dc\pesq\cypesq.pyx
    tree = Parsing.p_module(s, pxd, full_module_name)
  building 'cypesq' extension
  error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
  ----------------------------------------
  ERROR: Failed building wheel for pesq
  Running setup.py clean for pesq
  Building wheel for pystoi (setup.py) ... done
  Created wheel for pystoi: filename=pystoi-0.3.3-py2.py3-none-any.whl size=7781 sha256=ab6a0da4d3b71a56a2d6fa38302a42952458aa93800d6047716b2e3cb3833adf
  Stored in directory: c:\users\lucas\appdata\local\pip\cache\wheels\62\35\75\c07f0861a60fb8aacf44fdd5c8c214a224a6c9edb4a4e1402f
Successfully built torch-stoi aicrowd-api demucs diffq julius audioread resampy progressbar typing mir-eval pystoi
Failed to build pesq
Installing collected packages: pyasn1, rsa, pyasn1-modules, oauthlib, multidict, cachetools, yarl, requests-oauthlib, google-auth, async-timeout, torch, tensorboard-plugin-wit, tensorboard-data-server, protobuf, markdown, jmespath, grpcio, google-auth-oauthlib, fsspec, aiohttp, absl-py, torchmetrics, torchaudio, tensorboard, smmap, pytorch-ranger, pystoi, pyDeprecate, pesq, mir-eval, ffmpeg-python, einops, cached-property, botocore, win32-setctime, torch-stoi, torch-optimizer, stempeg, SoundFile, s3transfer, resampy, redis, pytorch-lightning, pyaml, pooch, pb-bss-eval, lameenc, julius, humanfriendly, huggingface-hub, gitdb, diffq, audioread, asteroid-filterbanks, typing, torchvision, torchlibrosa, tensorboardX, setuptools-scm, pynvml, progressbar, openunmix, norbert, musdb, loguru, librosa, GitPython, demucs, coloredlogs, boto3, asteroid, aicrowd-api
  Attempting uninstall: fsspec
    Found existing installation: fsspec 0.9.0
    Uninstalling fsspec-0.9.0:
      Successfully uninstalled fsspec-0.9.0
    Running setup.py install for pesq ... error
    ERROR: Command errored out with exit status 1:
     command: 'C:\ProgramData\Anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"'; __file__='"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\lucas\AppData\Local\Temp\pip-record-v7qod0sz\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\ProgramData\Anaconda3\Include\pesq'
         cwd: C:\Users\lucas\AppData\Local\Temp\pip-install-n_qyux9y\pesq_ed38c459ee364f729530065fe03e90dc\
    Complete output (20 lines):
    running install
    running build
    running build_py
    creating build
    creating build\lib.win-amd64-3.8
    creating build\lib.win-amd64-3.8\pesq
    copying pesq\__init__.py -> build\lib.win-amd64-3.8\pesq
    copying pesq\cypesq.pyx -> build\lib.win-amd64-3.8\pesq
    copying pesq\dsp.h -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesq.h -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesqio.h -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesqmain.h -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesqpar.h -> build\lib.win-amd64-3.8\pesq
    copying pesq\dsp.c -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesqdsp.c -> build\lib.win-amd64-3.8\pesq
    copying pesq\pesqmod.c -> build\lib.win-amd64-3.8\pesq
    running build_ext
    skipping 'pesq\cypesq.c' Cython extension (up-to-date)
    building 'cypesq' extension
    error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
    ----------------------------------------
ERROR: Command errored out with exit status 1: 'C:\ProgramData\Anaconda3\python.exe' -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"'; __file__='"'"'C:\\Users\\lucas\\AppData\\Local\\Temp\\pip-install-n_qyux9y\\pesq_ed38c459ee364f729530065fe03e90dc\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record 'C:\Users\lucas\AppData\Local\Temp\pip-record-v7qod0sz\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\ProgramData\Anaconda3\Include\pesq' Check the logs for full command output.


**(base) C:\Users\lucas\CWS>python main.py -i example/test/xuemaojiao.wav -o example/results -s vocals bass drums other**
Loading demucs model...
Downloading: "https://dl.fbaipublicfiles.com/demucs/v3.0/demucs-e07c671f.th" to ./utils/demucs_checkpoints\checkpoints\demucs-e07c671f.th
100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 0.99G/0.99G [06:46<00:00, 2.61MB/s]
Downloading the weight of model for the vocal track
wget https://zenodo.org/record/5175846/files/epoch%3D49-val_loss%3D0.0902_trimed.ckpt?download=1 -O models/resunet_conv8_vocals/checkpoints/vocals/epoch=49-val_loss=0.0902_trimed.ckpt
--2021-08-27 19:50:10--  https://zenodo.org/record/5175846/files/epoch%3D49-val_loss%3D0.0902_trimed.ckpt?download=1
Resolving zenodo.org (zenodo.org)... 137.138.76.77
Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 904040650 (862M) [application/octet-stream]
Saving to: 'models/resunet_conv8_vocals/checkpoints/vocals/epoch=49-val_loss=0.0902_trimed.ckpt'

=49-val_loss=0.0902_trimed.ckpt                        4%[====>                                                         49-val_loss=0.0902_trimed.ckpt                         4%[====>                                                         9-val_loss=0.0902_trimed.ckpt                          4%[====>                                                         -val_loss=0.0902_trimed.ckpt                           4%[====>                                                         val_loss=0.0902_trimed.ckpt                            5%[====>                                                         al_loss=0.0902_trimed.ckpt       2_trimed.ckpt                                          5%[=====>                                                                                                                ]  50,59M  2,51MB/s    eta 5m 3_trimed.ckpt                                           5%[=====>                                                        trimed.ckpt                                            5%[=====>                                                        rimed.ckpt                                             5%[======>                                                       imed.ckpt                                              6%[======>                                                       med.ckpt                                               6%[======>                                                       ed.ckpt                                                6%[======>                                                       d.ckpt                                                 6%[======>                                                       .ckpt                                                  6%[======>                                                       ckpt                                                   6%[======>                                                       kpt                                                    6%[======>                                                       pt                                                     6%[======>                                                       t                                                      6%[======>                                                                                                              6%[======>                                                                                                          m   6%[======>                                                                   models/resunet_conv8_vocals/checkpoints/vocals/epoch 100%[=====================================================================================================================>] 862,16M  2,57MB/s    in 5m 42s

2021-08-27 19:55:55 (2,52 MB/s) - 'models/resunet_conv8_vocals/checkpoints/vocals/epoch=49-val_loss=0.0902_trimed.ckpt' saved [904040650/904040650]

Downloading the weight of model for the other track
wget https://zenodo.org/record/5175846/files/epoch%3D33-val_loss%3D0.4293_trimed.ckpt?download=1 -O models/resunet_joint_training_other/checkpoints_nov/other/epoch=33-val_loss=0.4293_trimed.ckpt
--2021-08-27 19:55:55--  https://zenodo.org/record/5175846/files/epoch%3D33-val_loss%3D0.4293_trimed.ckpt?download=1
Resolving zenodo.org (zenodo.org)... 137.138.76.77
Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 425901062 (406M) [application/octet-stream]
Saving to: 'models/resunet_joint_training_other/checkpoints_nov/other/epoch=33-val_loss=0.4293_trimed.ckpt'

models/resunet_joint_training_other/checkpoints_nov/ 100%[=====================================================================================================================>] 406,17M  2,72MB/s    in 2m 42s

2021-08-27 19:58:38 (2,51 MB/s) - 'models/resunet_joint_training_other/checkpoints_nov/other/epoch=33-val_loss=0.4293_trimed.ckpt' saved [425901062/425901062]

Loading vocal model...
Traceback (most recent call last):
  File "main.py", line 22, in <module>
    submission.prediction_setup()
  File "C:\Users\lucas\CWS\predictor.py", line 72, in prediction_setup
    self.v_model = self.reload(v_model_path, Conv8Res(channels=2, target="vocals"), nsrc=2)
  File "C:\Users\lucas\CWS\predictor.py", line 81, in reload
    model = model.load_from_checkpoint(pth) if (len(pth) != 0) else model
  File "C:\ProgramData\Anaconda3\lib\site-packages\pytorch_lightning\core\saving.py", line 153, in load_from_checkpoint
    model = cls._load_model_state(checkpoint, strict=strict, **kwargs)
  File "C:\ProgramData\Anaconda3\lib\site-packages\pytorch_lightning\core\saving.py", line 201, in _load_model_state
    keys = model.load_state_dict(checkpoint["state_dict"], strict=strict)
  File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1406, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for UNetResComplex_100Mb:
        Missing key(s) in state_dict: "wav_spec_loss.f_helper.istft.ola_window", "f_helper.istft.ola_window".
        Unexpected key(s) in state_dict: "wav_spec_loss.f_helper.istft.reverse.weight", "wav_spec_loss.f_helper.istft.overlap_add.weight", "f_helper.istft.reverse.weight", "f_helper.istft.overlap_add.weight".
@haoheliu
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Sorry for the waiting and thanks for the issue. I'll check it right now.

@haoheliu
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haoheliu commented Sep 1, 2021 •
edited

I guess it was caused by the version of torchlibrosa? Please make sure its version is torchlibrosa==0.0.7. It seems that the torchlibrosa you used above is 0.0.9.

pip3 uninstall torchlibrosa
pip3 install torchlibrosa==0.0.7

If the version you installed is right. You can get the following output.

>>> torchlibrosa.stft.ISTFT().reverse # have reverse attribute
Conv1d(1025, 1023, kernel_size=(1,), stride=(1,), bias=False)
>>> torchlibrosa.stft.ISTFT().ola_window # do not have ola_window attribute
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/liuhaohe.7/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 947, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'ISTFT' object has no attribute 'ola_window'

@lucasdobr15
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lucasdobr15 commented Sep 2, 2021 •
edited

Hi haoheliu everything ok with you?

Thank you very much for the feedback and information, and yes, really the problem was because I was using version 0.0.9 of torchlibrosa, I downgraded as you suggested and the problem was 100% solved!!!

Now I'm still waiting for an answer on the new training mode we talked about via email, (MIXTURE/INSTRUMENTAL), you told me it would be ready by 28/08, but probably there was some unforeseen event,

I have another question regarding your I.A., I will continue by email;

Thank you very much, you are great!

Yours truly,
Lucas.

working

@haoheliu
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haoheliu commented Sep 4, 2021

I'm glad that your problem is solved. Thanks for your feedback!
The MIXTURE/INSTRUMENTAL training scheme will be added as soon as I got spare time (A little bit overwhelmed recently). Thanks for your patience.

@haoheliu
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haoheliu commented Oct 8, 2021

I update the code. Now you can use your own data to separate the source you want. You can have a try if interested.

https://github.com/haoheliu/2021-ISMIR-MSS-Challenge-CWS-PResUNet#2-usage-for-customizing-sound-source

@haoheliu haoheliu closed this as completed Oct 8, 2021
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