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IntelLabs / nlp-architect

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
https://intellabs.github.io/nlp-architect
Apache License 2.0
2.94k stars 445 forks source link

nlp_architect command does not exist after fresh install #63

Closed javaspaces closed 4 years ago

javaspaces commented 5 years ago

Hi, I just performed a fresh install of nlp_architect and the command does not exist after the installation process is complete. Here's my environment:

Below is the installation process, followed by the failure of the command not existing

(base) nlp@nlp16-70GB:~$ conda create -n intelnlp python=3.6
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Collecting package metadata: done
Solving environment: done

==> WARNING: A newer version of conda exists. <==
  current version: 4.6.11
  latest version: 4.7.5

Please update conda by running

    $ conda update -n base -c defaults conda

## Package Plan ##

  environment location: /home/nlp/anaconda3/envs/intelnlp

  added / updated specs:
    - python=3.6

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2019.5.15  |                0         133 KB
    certifi-2019.6.16          |           py36_0         154 KB
    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    openssl-1.1.1c             |       h7b6447c_1         3.8 MB
    pip-19.1.1                 |           py36_0         1.9 MB
    python-3.6.8               |       h0371630_0        34.4 MB
    setuptools-41.0.1          |           py36_0         656 KB
    sqlite-3.28.0              |       h7b6447c_0         1.9 MB
    wheel-0.33.4               |           py36_0          40 KB
    ------------------------------------------------------------
                                           Total:        55.1 MB

The following NEW packages will be INSTALLED:

  ca-certificates    pkgs/main/linux-64::ca-certificates-2019.5.15-0
  certifi            pkgs/main/linux-64::certifi-2019.6.16-py36_0
  libedit            pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
  libffi             pkgs/main/linux-64::libffi-3.2.1-hd88cf55_4
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  ncurses            pkgs/main/linux-64::ncurses-6.1-he6710b0_1
  openssl            pkgs/main/linux-64::openssl-1.1.1c-h7b6447c_1
  pip                pkgs/main/linux-64::pip-19.1.1-py36_0
  python             pkgs/main/linux-64::python-3.6.8-h0371630_0
  readline           pkgs/main/linux-64::readline-7.0-h7b6447c_5
  setuptools         pkgs/main/linux-64::setuptools-41.0.1-py36_0
  sqlite             pkgs/main/linux-64::sqlite-3.28.0-h7b6447c_0
  tk                 pkgs/main/linux-64::tk-8.6.8-hbc83047_0
  wheel              pkgs/main/linux-64::wheel-0.33.4-py36_0
  xz                 pkgs/main/linux-64::xz-5.2.4-h14c3975_4
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3

Proceed ([y]/n)? y

Downloading and Extracting Packages
libstdcxx-ng-9.1.0   | 4.0 MB    | ############################################################################# | 100% 
openssl-1.1.1c       | 3.8 MB    | ############################################################################# | 100% 
ca-certificates-2019 | 133 KB    | ############################################################################# | 100% 
wheel-0.33.4         | 40 KB     | ############################################################################# | 100% 
sqlite-3.28.0        | 1.9 MB    | ############################################################################# | 100% 
python-3.6.8         | 34.4 MB   | ############################################################################# | 100% 
pip-19.1.1           | 1.9 MB    | ############################################################################# | 100% 
libgcc-ng-9.1.0      | 8.1 MB    | ############################################################################# | 100% 
setuptools-41.0.1    | 656 KB    | ############################################################################# | 100% 
certifi-2019.6.16    | 154 KB    | ############################################################################# | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate intelnlp
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) nlp@nlp16-70GB:~$ conda activate intelnlp
(intelnlp) nlp@nlp16-70GB:~$ export NLP_ARCHITECT_BE=CPU
(intelnlp) nlp@nlp16-70GB:~$ cd Desktop/
(intelnlp) nlp@nlp16-70GB:~/Desktop$ git clone https://github.com/NervanaSystems/nlp-architect.git
Cloning into 'nlp-architect'...
remote: Enumerating objects: 171, done.
remote: Counting objects: 100% (171/171), done.
remote: Compressing objects: 100% (123/123), done.
remote: Total 6163 (delta 82), reused 96 (delta 47), pack-reused 5992
Receiving objects: 100% (6163/6163), 140.06 MiB | 16.23 MiB/s, done.
Resolving deltas: 100% (3800/3800), done.
(intelnlp) nlp@nlp16-70GB:~/Desktop$ cd nlp-architect/
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ pip3 install -e .
Obtaining file:///home/nlp/Desktop/nlp-architect
Collecting bokeh (from nlp-architect==0.4.post2)
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Building wheels for collected packages: bokeh, future, nltk, pywikibot, seqeval, sklearn, termcolor, PyYAML, tornado, smart-open, networkx, feedfinder2, jieba3k, feedparser, tinysegmenter, docopt, absl-py, gast, langcodes, regex, pyrsistent, marisa-trie
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  Running setup.py bdist_wheel for jieba3k ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/83/15/9c/a3f1f67e7f7181170ad37d32e503c35da20627c013f438ed34
  Running setup.py bdist_wheel for feedparser ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/8c/69/b7/f52763c41c5471df57703a0ef718a32a5e81ee35dcf6d4f97f
  Running setup.py bdist_wheel for tinysegmenter ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/81/2b/43/a02ede72324dd40cdd7ca53aad718c7710628e91b8b0dc0f02
  Running setup.py bdist_wheel for docopt ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/9b/04/dd/7daf4150b6d9b12949298737de9431a324d4b797ffd63f526e
  Running setup.py bdist_wheel for absl-py ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/ee/98/38/46cbcc5a93cfea5492d19c38562691ddb23b940176c14f7b48
  Running setup.py bdist_wheel for gast ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/5c/2e/7e/a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd
  Running setup.py bdist_wheel for langcodes ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/84/20/3d/dc2010b4f7c0b786a06947530a962972caead0c58898f25a02
  Running setup.py bdist_wheel for regex ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/6b/c9/cf/230425cdd343d6b98e8da5a5841c3dab1e0c8aaa134e29edb0
  Running setup.py bdist_wheel for pyrsistent ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/6b/b9/15/c8c6a1e095a370e8c3273e65a5c982e5cf355dde16d77502f5
  Running setup.py bdist_wheel for marisa-trie ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/45/24/79/022624fc914f0e559fe8a1141aaff1f9df810905a13fc75d57
Successfully built bokeh future nltk pywikibot seqeval sklearn termcolor PyYAML tornado smart-open networkx feedfinder2 jieba3k feedparser tinysegmenter docopt absl-py gast langcodes regex pyrsistent marisa-trie
Installing collected packages: MarkupSafe, Jinja2, PyYAML, numpy, six, pyparsing, packaging, pillow, python-dateutil, tornado, bokeh, cython, dynet, urllib3, elasticsearch, python-mimeparse, falcon, falcon-multipart, wcwidth, ftfy, future, jmespath, docutils, botocore, s3transfer, boto3, boto, certifi, chardet, idna, requests, smart-open, scipy, gensim, h5py, hug, decorator, networkx, pymongo, tqdm, hyperopt, soupsieve, beautifulsoup4, feedfinder2, nltk, jieba3k, setuptools, requests-file, tldextract, feedparser, cssselect, tinysegmenter, lxml, newspaper3k, docopt, num2words, pytz, pandas, pywikibot, keras-preprocessing, keras-applications, Keras, seqeval, joblib, scikit-learn, sklearn, cymem, srsly, blis, preshed, wasabi, murmurhash, plac, thinc, attrs, pyrsistent, jsonschema, spacy, termcolor, grpcio, absl-py, gast, wheel, astor, markdown, werkzeug, protobuf, tensorboard, mock, tensorflow-estimator, tensorflow, tensorflow-hub, marisa-trie, langcodes, regex, msgpack, wordfreq, nlp-architect
  Running setup.py develop for nlp-architect
Successfully installed Jinja2-2.10.1 Keras-2.2.4 MarkupSafe-1.1.1 PyYAML-5.1.1 absl-py-0.7.1 astor-0.8.0 attrs-19.1.0 beautifulsoup4-4.7.1 blis-0.2.4 bokeh-1.2.0 boto-2.49.0 boto3-1.9.176 botocore-1.12.176 certifi-2019.6.16 chardet-3.0.4 cssselect-1.0.3 cymem-2.0.2 cython-0.29.10 decorator-4.4.0 docopt-0.6.2 docutils-0.14 dynet-2.1 elasticsearch-7.0.2 falcon-1.4.1 falcon-multipart-0.2.0 feedfinder2-0.0.4 feedparser-5.2.1 ftfy-5.5.1 future-0.17.1 gast-0.2.2 gensim-3.7.3 grpcio-1.21.1 h5py-2.9.0 hug-2.5.6 hyperopt-0.1.2 idna-2.8 jieba3k-0.35.1 jmespath-0.9.4 joblib-0.13.2 jsonschema-3.0.1 keras-applications-1.0.8 keras-preprocessing-1.1.0 langcodes-1.4.1 lxml-4.3.4 marisa-trie-0.7.5 markdown-3.1.1 mock-3.0.5 msgpack-0.6.1 murmurhash-1.0.2 networkx-2.3 newspaper3k-0.2.8 nlp-architect nltk-3.4.3 num2words-0.5.10 numpy-1.16.4 packaging-19.0 pandas-0.24.2 pillow-6.0.0 plac-0.9.6 preshed-2.0.1 protobuf-3.8.0 pymongo-3.8.0 pyparsing-2.4.0 pyrsistent-0.15.2 python-dateutil-2.8.0 python-mimeparse-1.6.0 pytz-2019.1 pywikibot-3.0.dev0 regex-2018.2.21 requests-2.22.0 requests-file-1.4.3 s3transfer-0.2.1 scikit-learn-0.21.2 scipy-1.3.0 seqeval-0.0.12 setuptools-41.0.1 six-1.12.0 sklearn-0.0 smart-open-1.8.4 soupsieve-1.9.2 spacy-2.1.4 srsly-0.0.7 tensorboard-1.13.1 tensorflow-1.13.1 tensorflow-estimator-1.13.0 tensorflow-hub-0.5.0 termcolor-1.1.0 thinc-7.0.4 tinysegmenter-0.3 tldextract-2.2.1 tornado-6.0.3 tqdm-4.32.2 urllib3-1.25.3 wasabi-0.2.2 wcwidth-0.1.7 werkzeug-0.15.4 wheel-0.33.4 wordfreq-2.2.1
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ 
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ nlp_architect -h
nlp_architect: command not found
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ nlp-architect -h
nlp-architect: command not found
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ pip install -r dev-requirements.txt
Collecting sphinx (from -r dev-requirements.txt (line 1))
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Collecting pytest (from -r dev-requirements.txt (line 6))
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Requirement already satisfied: packaging in /home/nlp/.local/lib/python3.6/site-packages (from sphinx->-r dev-requirements.txt (line 1)) (19.0)
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Requirement already satisfied: requests>=2.5.0 in /home/nlp/.local/lib/python3.6/site-packages (from sphinx->-r dev-requirements.txt (line 1)) (2.22.0)
Collecting snowballstemmer>=1.1 (from sphinx->-r dev-requirements.txt (line 1))
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Requirement already satisfied: docutils>=0.12 in /home/nlp/.local/lib/python3.6/site-packages (from sphinx->-r dev-requirements.txt (line 1)) (0.14)
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Requirement already satisfied: Jinja2>=2.3 in /home/nlp/.local/lib/python3.6/site-packages (from sphinx->-r dev-requirements.txt (line 1)) (2.10.1)
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Building wheels for collected packages: snowballstemmer, wrapt
  Building wheel for snowballstemmer (setup.py) ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/93/db/97/496f1d6bbcad1fecbc58fe45363540414be519312eded82bab
  Building wheel for wrapt (setup.py) ... done
  Stored in directory: /home/nlp/.cache/pip/wheels/d7/de/2e/efa132238792efb6459a96e85916ef8597fcb3d2ae51590dfd
Successfully built snowballstemmer wrapt
Installing collected packages: sphinxcontrib-applehelp, sphinxcontrib-devhelp, alabaster, imagesize, sphinxcontrib-jsmath, snowballstemmer, Pygments, sphinxcontrib-qthelp, sphinxcontrib-htmlhelp, babel, sphinxcontrib-serializinghtml, sphinx, sphinx-rtd-theme, mccabe, entrypoints, pycodestyle, pyflakes, flake8, flake8-html, pep8, zipp, importlib-metadata, pluggy, more-itertools, atomicwrites, py, pytest, coverage, pytest-cov, pytest-mock, isort, lazy-object-proxy, typed-ast, wrapt, astroid, pylint
Successfully installed Pygments-2.4.2 alabaster-0.7.12 astroid-2.2.5 atomicwrites-1.3.0 babel-2.7.0 coverage-4.5.3 entrypoints-0.3 flake8-3.7.7 flake8-html-0.4.0 imagesize-1.1.0 importlib-metadata-0.18 isort-4.3.21 lazy-object-proxy-1.4.1 mccabe-0.6.1 more-itertools-7.0.0 pep8-1.7.1 pluggy-0.12.0 py-1.8.0 pycodestyle-2.5.0 pyflakes-2.1.1 pylint-2.3.1 pytest-4.6.3 pytest-cov-2.7.1 pytest-mock-1.10.4 snowballstemmer-1.9.0 sphinx-2.1.2 sphinx-rtd-theme-0.4.3 sphinxcontrib-applehelp-1.0.1 sphinxcontrib-devhelp-1.0.1 sphinxcontrib-htmlhelp-1.0.2 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-1.0.2 sphinxcontrib-serializinghtml-1.1.3 typed-ast-1.4.0 wrapt-1.11.2 zipp-0.5.1
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ nlp_architect -h
nlp_architect: command not found
(intelnlp) nlp@nlp16-70GB:~/Desktop/nlp-architect$ nlp-architect -h
nlp-architect: command not found
peteriz commented 5 years ago

Hi @javaspaces The correct command is nlp_architect. Could it be a pip issue with your conda environment? Can you verify that the current environment pip is the same with pip3? Thanks

peteriz commented 5 years ago

I just tried installing from a clean environment and it should work using pip command (pip3 in my case was targeting a different env).

javaspaces commented 5 years ago

Ok, I finally have resolution on this issue. Here are the steps necessary to get NLP Architect working on a fresh install:

  1. install Git
  2. install Anaconda 3.7 (which includes Python 3.7 and conda)

Then execute the following commands

$ pip install --upgrade pip

That should update pip to version 19.1.1. This is massively important because any other of pip will result in a failed installation. Also @peteriz you are correct, using pip3 will cause things to fail as well.

$ conda create -n intelnlp python=3.6

This creates a virtual environment and forces the Python version to 3.6. Any other version of Python will cause things to fail.

$ git clone https://github.com/NervanaSystems/nlp-architect.git
$ cd nlp-architect
$ export NLP_ARCHITECT_BE=CPU
$ pip install -e . 
$ pip install -r dev-requirements.txt

I hope that all the documentation is updated before this issue is closed.

Thanks @peteriz for the help!

peteriz commented 5 years ago

Thanks for letting us know. We will update.

github-actions[bot] commented 4 years ago

Issue marked as stale, closing.