如何预防conda env Export＆＃x27;从更新特定的依赖项
这是我的Environment.yml的摘录：
name: my-project
channels:
- pytorch-nightly
- defaults
dependencies:
- pytorch=1.13.0.*
- pip:
- https://github.com/explosion/spacy-models/releases/download/nb_core_news_md-3.3.0/nb_core_news_md-3.3.0-py3-none-any.whl
prefix: ~/opt/miniconda3/envs/my-project
当我创建我的环境时（conda env create -f Environment.yml），然后将其重新输入到emovention.yml（conda env export＆gt; emovenitim.yml），文件会更改：
name: my-project
channels:
- pytorch-nightly
- defaults
dependencies:
- pytorch=1.13.0.dev20220614=py3.9_0
- pip:
- nb-core-news-md==3.3.0
prefix: ~/opt/miniconda3/envs/my-project
然后，当我第二天重新创建环境时，康达（Conda）抱怨pytorch = 1.13。 0.DEV20220614 = PY3.9_0不存在，因为它被新的Pytorch预览（夜间）构建所取代。 dev20220614 = py3.9_0不再可用。
康达还抱怨说nb-core-news-md == 3.3.0不存在。它是通过URL直接安装到whl的。该URL已从emoverencom.yml中删除。
如何防止conda env Export更改这两个依赖性？我仍然希望康达（Conda）锁定所有其他依赖性的细节，而不是这两个依赖项。
Here's an excerpt from my environment.yml:
name: my-project
channels:
- pytorch-nightly
- defaults
dependencies:
- pytorch=1.13.0.*
- pip:
- https://github.com/explosion/spacy-models/releases/download/nb_core_news_md-3.3.0/nb_core_news_md-3.3.0-py3-none-any.whl
prefix: ~/opt/miniconda3/envs/my-project
When I create my environment (conda env create -f environment.yml) and re-export it to environment.yml (conda env export > environment.yml), the file gets changed:
name: my-project
channels:
- pytorch-nightly
- defaults
dependencies:
- pytorch=1.13.0.dev20220614=py3.9_0
- pip:
- nb-core-news-md==3.3.0
prefix: ~/opt/miniconda3/envs/my-project
Then, when I re-create my environment the next day, Conda complains that pytorch=1.13.0.dev20220614=py3.9_0 does not exist because it was replaced by a new PyTorch Preview (Nightly) build. dev20220614=py3.9_0 is no longer available.
Conda also complains that nb-core-news-md==3.3.0 does not exist. It was installed via a URL directly to the whl. That URL was removed from the environment.yml.
How can I prevent conda env export from changing these two dependencies? I still want Conda to lock down the specifics for all other dependencies, just not for these two.
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我明白了为什么Pytorch删除了每日构建，但这对您拥有的工作流程有点破坏。您要要求的内容不能用Conda CLI命令表达。取而代之的是，考虑导出常规YAML，然后运行一些
sed命令在重新创建环境之前替换特定要求。I get why PyTorch is deleting daily builds, but it's kind of disruptive for the workflow you have. What you're asking for cannot be expressed with Conda CLI commands. Instead, consider exporting the regular YAML, but then run some
sedcommands to replace the particular requirements prior to recreating the environment.