requirements.txt 설치하려고 하니 certifi에서 계속 걸려있네요 about tensorflow-ml-nlp-tf2 HOT 12 CLOSED

안녕하세요. 몇 가지 확인해볼 점이 있습니다.

• readme에 나와있는 anaconda 환경에서 python 3.6 환경으로 설치하시는데 발생한 이슈인가요?
• 가상환경은 어떤 환경으로 구성하셨나요?

from tensorflow-ml-nlp-tf2.

확인해보니 anaconda가 4.10.1 버전이네요. readme를 보니 3.5버전을 권장하셨는데 conda를 다운그레이드 해야 할까요?
현재는 certifi는 넘어갔는데 regex에서 몇 시간째 걸려있습니다.

from tensorflow-ml-nlp-tf2.

네 anaconda 버전이 문제일 수 있어서요 한번 3.5로 맞춰서 설치해주실 수 있을까요?

from tensorflow-ml-nlp-tf2.

네 올려주신 3.5.0 버전 새로 설치해서 진행해봤는데 그대로입니다 ㅠ
새로 만든 깨끗한 가상환경에서 진행했고 파이썬 버전 3.6.13입니다.

from tensorflow-ml-nlp-tf2.

혹시 설치하실 때 나오는 에러를 공유주실 수 있으신가요?

from tensorflow-ml-nlp-tf2.

(tfpractice) C:\Users\User\Desktop\projects_vscode\tensorflow-ml-nlp-tf2>pip install -r requirements.txt
Collecting numpy<=1.16.2
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Requirement already satisfied: wheel>=0.26 in c:\users\user\anaconda3_2\envs\tfpractice\lib\site-packages (from tensorflow==2.2.0->-r requirements.txt (line 20)) (0.37.0)
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Requirement already satisfied: certifi in c:\users\user\anaconda3_2\envs\tfpractice\lib\site-packages (from kaggle->-r requirements.txt (line 24)) (2021.5.30)
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INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. If you want to abort this run, you can press Ctrl + C to do so. To improve how pip performs, tell us what happened here: https://pip.pypa.io/surveys/backtracking
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INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. If you want to abort this run, you can press Ctrl + C to do so. To improve how pip performs, tell us what happened here: https://pip.pypa.io/surveys/backtracking
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명시적인 오류 메세지가 뜨지는 않는데
이런 식으로 호환되는 버전을 찾아서 pip이 계속 떠돌고 있습니다.
몇 시간째 계속 이런 상태로 끝나질 않네요.

from tensorflow-ml-nlp-tf2.

기존에 설치한 캐쉬 문제 일 수 있을것 으로 보이는데요. pip 실행 시에 '--no-cache-dir'을 넣어서 설치 해보실 수 있을까요?

from tensorflow-ml-nlp-tf2.

주말동안 해당 옵션 넣어서 다른 새 컴퓨터에서 시도해봤는데 같은 증상이 마찬가지로 일어납니다.
이 컴퓨터에서는 완전히 포맷한 환경에서 새로 시도중입니다.

pypa/pip#9215
여기 첫 번째로 달린 답변에 몇 가지 해결책이 제시되어 있는 것 같네요.
실제로는 충돌이 없는데 충돌이 있을 수 있다며 계속 종속성 오류가 생길 때는 --no-deps 옵션을 넣으면 설치가 된다는데 이렇게 해볼까요? requirements.txt를 그대로 설치할 경우 실제로는 충돌이 없을까요?

pip 20.3 버전일 경우 --use-deprecated=legacy-resolver 옵션을 넣어서 해보라는데 저는 pip 21.2 버전이고, 시도했더니 다른 오류가 생기네요.

from tensorflow-ml-nlp-tf2.

(tfpractice) C:\Users\yoon5\Desktop\project_vscode\tensorflow-ml-nlp-tf2-master\tensorflow-ml-nlp-tf2-master>pip install -r requirements.txt --no-deps --no-cache-dir
Requirement already satisfied: numpy<=1.16.2 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 1)) (1.16.2)
Requirement already satisfied: jupyter in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 2)) (1.0.0)
Requirement already satisfied: pandas in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 3)) (1.1.5)
Requirement already satisfied: html5lib in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 4)) (1.1)
Requirement already satisfied: seaborn in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 5)) (0.11.2)
Requirement already satisfied: matplotlib<3.3 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 6)) (3.2.2)
Requirement already satisfied: nltk==3.3 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 7)) (3.3)
Requirement already satisfied: tqdm in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 8)) (4.62.1)
Requirement already satisfied: seqeval in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 9)) (1.2.2)
Requirement already satisfied: transformers==3.0.2 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 10)) (3.0.2)
Requirement already satisfied: sentencepiece==0.1.85 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 11)) (0.1.85)
Requirement already satisfied: mxnet in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 12)) (1.7.0.post2)
Collecting gluonnlp==0.9.1
Downloading gluonnlp-0.9.1.tar.gz (252 kB)
|████████████████████████████████| 252 kB 2.2 MB/s
Requirement already satisfied: scikit-learn>=0.19.1 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 14)) (0.24.2)
Requirement already satisfied: wordcloud in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 15)) (1.8.1)
Collecting gensim
Downloading gensim-4.0.1-cp36-cp36m-win_amd64.whl (23.9 MB)
|████████████████████████████████| 23.9 MB 6.8 MB/s
Requirement already satisfied: xgboost in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 17)) (1.4.2)
Requirement already satisfied: wget==3.2 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 18)) (3.2)
Requirement already satisfied: tokenizers==0.8.1.rc1 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 19)) (0.8.1rc1)
Requirement already satisfied: tensorflow==2.2.0 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 20)) (2.2.0)
Requirement already satisfied: h5py<3.0.0 in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 21)) (2.10.0)
Requirement already satisfied: konlpy in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 22)) (0.5.2)
Collecting beautifulsoup4
Downloading beautifulsoup4-4.9.3-py3-none-any.whl (115 kB)
|████████████████████████████████| 115 kB 6.8 MB/s
Requirement already satisfied: kaggle in c:\users\yoon5\anaconda3\envs\tfpractice\lib\site-packages (from -r requirements.txt (line 24)) (1.5.12)
Building wheels for collected packages: gluonnlp
Building wheel for gluonnlp (setup.py) ... error
ERROR: Command errored out with exit status 1:
command: 'C:\Users\yoon5\Anaconda3\envs\tfpractice\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"'; file='"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\yoon5\AppData\Local\Temp\pip-wheel-d6ck98a_'
cwd: C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c
Complete output (113 lines):
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp\base.py -> build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp_constants.py -> build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp_init_.py -> build\lib.win-amd64-3.6\gluonnlp
creating build\lib.win-amd64-3.6\gluonnlp\calibration
copying src\gluonnlp\calibration\collector.py -> build\lib.win-amd64-3.6\gluonnlp\calibration
copying src\gluonnlp\calibration_init_.py -> build\lib.win-amd64-3.6\gluonnlp\calibration
creating build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\candidate_sampler.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\conll.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\dataloader.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\dataset.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\datasetloader.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\glue.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\intent_slot.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\question_answering.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\registry.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\sampler.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\sentiment.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\stream.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\super_glue.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\transforms.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\translation.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\utils.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\word_embedding_evaluation.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data
creating build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding\evaluation.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding\token_embedding.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding_init_.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
creating build\lib.win-amd64-3.6\gluonnlp\initializer
copying src\gluonnlp\initializer\initializer.py -> build\lib.win-amd64-3.6\gluonnlp\initializer
copying src\gluonnlp\initializer_init_.py -> build\lib.win-amd64-3.6\gluonnlp\initializer
creating build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\activation_regularizer.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\label_smoothing.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\loss.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss_init_.py -> build\lib.win-amd64-3.6\gluonnlp\loss
creating build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric\length_normalized_loss.py -> build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric\masked_accuracy.py -> build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric_init_.py -> build\lib.win-amd64-3.6\gluonnlp\metric
creating build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\attention_cell.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\bert.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\bilm_encoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\block.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\convolutional_encoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\elmo.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\highway.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\lstmpcellwithclip.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\parameter.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\sampled_block.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\seq2seq_encoder_decoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\sequence_sampler.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\transformer.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\translation.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\utils.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model_init_.py -> build\lib.win-amd64-3.6\gluonnlp\model
creating build\lib.win-amd64-3.6\gluonnlp\optimizer
copying src\gluonnlp\optimizer\bert_adam.py -> build\lib.win-amd64-3.6\gluonnlp\optimizer
copying src\gluonnlp\optimizer_init_.py -> build\lib.win-amd64-3.6\gluonnlp\optimizer
creating build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\files.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\parallel.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\parameter.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\version.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils_init_.py -> build\lib.win-amd64-3.6\gluonnlp\utils
creating build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\bert.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\elmo.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\subwords.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\vocab.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab_init_.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
creating build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\batchify.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\embedding.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
creating build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\google_billion_word.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\large_text_compression_benchmark.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\wikitext.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
creating build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\cache.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\embedding.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train_init_.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
running egg_info
writing src\gluonnlp.egg-info\PKG-INFO
writing dependency_links to src\gluonnlp.egg-info\dependency_links.txt
writing requirements to src\gluonnlp.egg-info\requires.txt
writing top-level names to src\gluonnlp.egg-info\top_level.txt
reading manifest file 'src\gluonnlp.egg-info\SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '.py' under directory 'gluonnlp'
warning: no previously-included files matching '' found under directory 'tests'
warning: no previously-included files matching '*' found under directory 'scripts'
writing manifest file 'src\gluonnlp.egg-info\SOURCES.txt'
copying src\gluonnlp\data\fast_bert_tokenizer.pyx -> build\lib.win-amd64-3.6\gluonnlp\data
running build_ext
cythoning src/gluonnlp/data/fast_bert_tokenizer.pyx to src/gluonnlp/data\fast_bert_tokenizer.c
C:\Users\yoon5\Anaconda3\envs\tfpractice\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\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\src\gluonnlp\data\fast_bert_tokenizer.pyx
tree = Parsing.p_module(s, pxd, full_module_name)
building 'gluonnlp.data.fast_bert_tokenizer' 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 gluonnlp
Running setup.py clean for gluonnlp
Failed to build gluonnlp
Installing collected packages: gluonnlp, gensim, beautifulsoup4
Running setup.py install for gluonnlp ... error
ERROR: Command errored out with exit status 1:
command: 'C:\Users\yoon5\Anaconda3\envs\tfpractice\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"'; file='"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\yoon5\AppData\Local\Temp\pip-record-145cv8td\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\Users\yoon5\Anaconda3\envs\tfpractice\Include\gluonnlp'
cwd: C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c
Complete output (111 lines):
running install
running build
running build_py
creating build
creating build\lib.win-amd64-3.6
creating build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp\base.py -> build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp_constants.py -> build\lib.win-amd64-3.6\gluonnlp
copying src\gluonnlp_init_.py -> build\lib.win-amd64-3.6\gluonnlp
creating build\lib.win-amd64-3.6\gluonnlp\calibration
copying src\gluonnlp\calibration\collector.py -> build\lib.win-amd64-3.6\gluonnlp\calibration
copying src\gluonnlp\calibration_init_.py -> build\lib.win-amd64-3.6\gluonnlp\calibration
creating build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\candidate_sampler.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\conll.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\dataloader.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\dataset.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\datasetloader.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\glue.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\intent_slot.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\question_answering.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\registry.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\sampler.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\sentiment.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\stream.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\super_glue.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\transforms.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\translation.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\utils.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data\word_embedding_evaluation.py -> build\lib.win-amd64-3.6\gluonnlp\data
copying src\gluonnlp\data_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data
creating build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding\evaluation.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding\token_embedding.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
copying src\gluonnlp\embedding_init_.py -> build\lib.win-amd64-3.6\gluonnlp\embedding
creating build\lib.win-amd64-3.6\gluonnlp\initializer
copying src\gluonnlp\initializer\initializer.py -> build\lib.win-amd64-3.6\gluonnlp\initializer
copying src\gluonnlp\initializer_init_.py -> build\lib.win-amd64-3.6\gluonnlp\initializer
creating build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\activation_regularizer.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\label_smoothing.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss\loss.py -> build\lib.win-amd64-3.6\gluonnlp\loss
copying src\gluonnlp\loss_init_.py -> build\lib.win-amd64-3.6\gluonnlp\loss
creating build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric\length_normalized_loss.py -> build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric\masked_accuracy.py -> build\lib.win-amd64-3.6\gluonnlp\metric
copying src\gluonnlp\metric_init_.py -> build\lib.win-amd64-3.6\gluonnlp\metric
creating build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\attention_cell.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\bert.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\bilm_encoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\block.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\convolutional_encoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\elmo.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\highway.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\lstmpcellwithclip.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\parameter.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\sampled_block.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\seq2seq_encoder_decoder.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\sequence_sampler.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\transformer.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\translation.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model\utils.py -> build\lib.win-amd64-3.6\gluonnlp\model
copying src\gluonnlp\model_init_.py -> build\lib.win-amd64-3.6\gluonnlp\model
creating build\lib.win-amd64-3.6\gluonnlp\optimizer
copying src\gluonnlp\optimizer\bert_adam.py -> build\lib.win-amd64-3.6\gluonnlp\optimizer
copying src\gluonnlp\optimizer_init_.py -> build\lib.win-amd64-3.6\gluonnlp\optimizer
creating build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\files.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\parallel.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\parameter.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils\version.py -> build\lib.win-amd64-3.6\gluonnlp\utils
copying src\gluonnlp\utils_init_.py -> build\lib.win-amd64-3.6\gluonnlp\utils
creating build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\bert.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\elmo.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\subwords.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab\vocab.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
copying src\gluonnlp\vocab_init_.py -> build\lib.win-amd64-3.6\gluonnlp\vocab
creating build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\batchify.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\embedding.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
copying src\gluonnlp\data\batchify_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data\batchify
creating build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\google_billion_word.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\large_text_compression_benchmark.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora\wikitext.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
copying src\gluonnlp\data\corpora_init_.py -> build\lib.win-amd64-3.6\gluonnlp\data\corpora
creating build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\cache.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\embedding.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train\language_model.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
copying src\gluonnlp\model\train_init_.py -> build\lib.win-amd64-3.6\gluonnlp\model\train
running egg_info
writing src\gluonnlp.egg-info\PKG-INFO
writing dependency_links to src\gluonnlp.egg-info\dependency_links.txt
writing requirements to src\gluonnlp.egg-info\requires.txt
writing top-level names to src\gluonnlp.egg-info\top_level.txt
reading manifest file 'src\gluonnlp.egg-info\SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no files found matching '.py' under directory 'gluonnlp'
warning: no previously-included files matching '' found under directory 'tests'
warning: no previously-included files matching '*' found under directory 'scripts'
writing manifest file 'src\gluonnlp.egg-info\SOURCES.txt'
copying src\gluonnlp\data\fast_bert_tokenizer.pyx -> build\lib.win-amd64-3.6\gluonnlp\data
running build_ext
skipping 'src/gluonnlp/data\fast_bert_tokenizer.c' Cython extension (up-to-date)
building 'gluonnlp.data.fast_bert_tokenizer' 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:\Users\yoon5\Anaconda3\envs\tfpractice\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"'; file='"'"'C:\Users\yoon5\AppData\Local\Temp\pip-install-5wnid46w\gluonnlp_8604a4a117214d56b74ef5cab045146c\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record 'C:\Users\yoon5\AppData\Local\Temp\pip-record-145cv8td\install-record.txt' --single-version-externally-managed --compile --install-headers 'C:\Users\yoon5\Anaconda3\envs\tfpractice\Include\gluonnlp' Check the logs for full command output.

--use-deprecated=legacy-resolver도 안되고 --no-deps도 안되고 --no-cache-dir도 안되네요...
다른 분들은 어떻게 하신건지 모르겠습니다 ㅠ

from tensorflow-ml-nlp-tf2.

우선 Microsoft C++ Build Tools 이거부터 설치 해보셔야 할 것 같습니다

from tensorflow-ml-nlp-tf2.

원인을 찾았습니다. gluonnlp가 리눅스하고 맥 전용이라 윈도우에서는 설치가 안 되는 것 같아요.
코랩에서 해보니 정상적으로 설치가 되네요. 감사합니다 :-)

from tensorflow-ml-nlp-tf2.

해결되셨다니 다행입니다!

from tensorflow-ml-nlp-tf2.