Pipenv 在安裝 TensorFlow 2.4.1 時無法鎖定

Question

2021-02-06：我最終使用pip 。

原始問題如下所示。

正如我在標題中提到的，pipenv 在安裝 TensorFlow（版本 2.4.1）時無法鎖定。 我想知道這個問題的解決方案。

目前的環境是：
macOS 大蘇爾 11.1
python 3.8.7（安裝了pyenv）
pyenv 1.2.22（自制安裝）
pipenv 2020.11.15（自制安裝）
pip 21.0

我所做的和回應是：

1. mkdir ~/tf && cd ~/tf
2. pyenv local 3.8.7 -> 更改為 python 3.8.7
3. pipenv --python 3.8.7 -> 創建虛擬環境和 Pipfile
4. pipenv shell
5. pip install --upgrade pip -> 將 pip 從 20.2.4 升級到 21.0
6. pipenv install tensorflow ->

Installing tensorflow...
Adding tensorflow to Pipfile's [packages]...
✔ Installation Succeeded 
Pipfile.lock not found, creating...
Locking [dev-packages] dependencies...
Locking [packages] dependencies...
Building requirements...
Resolving dependencies...
✘ Locking Failed! 
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 741, in _main
[ResolutionFailure]:       resolve_packages(pre, clear, verbose, system, write, requirements_dir, packages, dev)
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 702, in resolve_packages
[ResolutionFailure]:       results, resolver = resolve(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/resolver.py", line 684, in resolve
[ResolutionFailure]:       return resolve_deps(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 1395, in resolve_deps
[ResolutionFailure]:       results, hashes, markers_lookup, resolver, skipped = actually_resolve_deps(
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 1108, in actually_resolve_deps
[ResolutionFailure]:       resolver.resolve()
[ResolutionFailure]:   File "/usr/local/Cellar/pipenv/2020.11.15/libexec/lib/python3.9/site-packages/pipenv/utils.py", line 833, in resolve
[ResolutionFailure]:       raise ResolutionFailure(message=str(e))
[pipenv.exceptions.ResolutionFailure]: Warning: Your dependencies could not be resolved. You likely have a mismatch in your sub-dependencies.
  First try clearing your dependency cache with $ pipenv lock --clear, then try the original command again.
 Alternatively, you can use $ pipenv install --skip-lock to bypass this mechanism, then run $ pipenv graph to inspect the situation.
  Hint: try $ pipenv lock --pre if it is a pre-release dependency.
ERROR: Could not find a version that matches tensorflow (from -r /var/folders/66/qc27xk113h97ysq8g96dq6lw0000gn/T/pipenvi9b634u2requirements/pipenv-rgesnhxh-constraints.txt (line 2))
No versions found
Was https://pypi.org/simple reachable?

我嘗試pipenv lock --clear ，但它不起作用並返回了上面相同的錯誤消息。

自python -c 'import tensorflow as tf; print(tf.__version__)' python -c 'import tensorflow as tf; print(tf.__version__)'返回2.4.1 ，其版本支持 Python 3.8.7。 我還嘗試在虛擬環境外使用pip安裝 TensorFlow，它成功安裝了 TensorFlow 2.4.1。

這是pipenv graph的結果，似乎沒有依賴沖突（可能存在我沒有注意到的沖突）。

tensorflow==2.4.1
  - absl-py [required: ~=0.10, installed: 0.11.0]
    - six [required: Any, installed: 1.15.0]
  - astunparse [required: ~=1.6.3, installed: 1.6.3]
    - six [required: >=1.6.1,<2.0, installed: 1.15.0]
    - wheel [required: >=0.23.0,<1.0, installed: 0.36.2]
  - flatbuffers [required: ~=1.12.0, installed: 1.12]
  - gast [required: ==0.3.3, installed: 0.3.3]
  - google-pasta [required: ~=0.2, installed: 0.2.0]
    - six [required: Any, installed: 1.15.0]
  - grpcio [required: ~=1.32.0, installed: 1.32.0]
    - six [required: >=1.5.2, installed: 1.15.0]
  - h5py [required: ~=2.10.0, installed: 2.10.0]
    - numpy [required: >=1.7, installed: 1.19.5]
    - six [required: Any, installed: 1.15.0]
  - keras-preprocessing [required: ~=1.1.2, installed: 1.1.2]
    - numpy [required: >=1.9.1, installed: 1.19.5]
    - six [required: >=1.9.0, installed: 1.15.0]
  - numpy [required: ~=1.19.2, installed: 1.19.5]
  - opt-einsum [required: ~=3.3.0, installed: 3.3.0]
    - numpy [required: >=1.7, installed: 1.19.5]
  - protobuf [required: >=3.9.2, installed: 3.14.0]
    - six [required: >=1.9, installed: 1.15.0]
  - six [required: ~=1.15.0, installed: 1.15.0]
  - tensorboard [required: ~=2.4, installed: 2.4.1]
    - absl-py [required: >=0.4, installed: 0.11.0]
      - six [required: Any, installed: 1.15.0]
    - google-auth [required: >=1.6.3,<2, installed: 1.24.0]
      - cachetools [required: >=2.0.0,<5.0, installed: 4.2.1]
      - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
        - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
      - rsa [required: >=3.1.4,<5, installed: 4.7]
        - pyasn1 [required: >=0.1.3, installed: 0.4.8]
      - setuptools [required: >=40.3.0, installed: 50.3.2]
      - six [required: >=1.9.0, installed: 1.15.0]
    - google-auth-oauthlib [required: >=0.4.1,<0.5, installed: 0.4.2]
      - google-auth [required: Any, installed: 1.24.0]
        - cachetools [required: >=2.0.0,<5.0, installed: 4.2.1]
        - pyasn1-modules [required: >=0.2.1, installed: 0.2.8]
          - pyasn1 [required: >=0.4.6,<0.5.0, installed: 0.4.8]
        - rsa [required: >=3.1.4,<5, installed: 4.7]
          - pyasn1 [required: >=0.1.3, installed: 0.4.8]
        - setuptools [required: >=40.3.0, installed: 50.3.2]
        - six [required: >=1.9.0, installed: 1.15.0]
      - requests-oauthlib [required: >=0.7.0, installed: 1.3.0]
        - oauthlib [required: >=3.0.0, installed: 3.1.0]
        - requests [required: >=2.0.0, installed: 2.25.1]
          - certifi [required: >=2017.4.17, installed: 2020.12.5]
          - chardet [required: >=3.0.2,<5, installed: 4.0.0]
          - idna [required: >=2.5,<3, installed: 2.10]
          - urllib3 [required: >=1.21.1,<1.27, installed: 1.26.3]
    - grpcio [required: >=1.24.3, installed: 1.32.0]
      - six [required: >=1.5.2, installed: 1.15.0]
    - markdown [required: >=2.6.8, installed: 3.3.3]
    - numpy [required: >=1.12.0, installed: 1.19.5]
    - protobuf [required: >=3.6.0, installed: 3.14.0]
      - six [required: >=1.9, installed: 1.15.0]
    - requests [required: >=2.21.0,<3, installed: 2.25.1]
      - certifi [required: >=2017.4.17, installed: 2020.12.5]
      - chardet [required: >=3.0.2,<5, installed: 4.0.0]
      - idna [required: >=2.5,<3, installed: 2.10]
      - urllib3 [required: >=1.21.1,<1.27, installed: 1.26.3]
    - setuptools [required: >=41.0.0, installed: 50.3.2]
    - six [required: >=1.10.0, installed: 1.15.0]
    - tensorboard-plugin-wit [required: >=1.6.0, installed: 1.8.0]
    - werkzeug [required: >=0.11.15, installed: 1.0.1]
    - wheel [required: >=0.26, installed: 0.36.2]
  - tensorflow-estimator [required: >=2.4.0,<2.5.0, installed: 2.4.0]
  - termcolor [required: ~=1.1.0, installed: 1.1.0]
  - typing-extensions [required: ~=3.7.4, installed: 3.7.4.3]
  - wheel [required: ~=0.35, installed: 0.36.2]
  - wrapt [required: ~=1.12.1, installed: 1.12.1]

如果您遇到同樣的問題並解決了，請告訴我如何解決此問題。 謝謝你。

Answer 1

我不知道你是否能夠解決這個問題。 但我遇到了同樣的問題。 一個簡單的 pipenv 清除然后一個 pipenv 同步（從 pipfile 重新安裝依賴項）有助於解決問題最終 pip 鎖定成功