I modified my workflow file a bit like the following:

name: Metric logging with wandb
on: [push]
jobs:

run:
runs-on: ubuntu-latest

steps:
  - uses: actions/checkout@v2
  - name: Set up Python 3.x
    uses: actions/setup-python@v2
    with:
      python-version: '3.7' 
  - uses: actions/cache@master
    id: cache
    with:
      path: ~/.cache/pip
      key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
      restore-keys: |
        ${{ runner.os }}-pip-
        ${{ runner.os }}-
  - name: Train model and log wandb metric
    run: |
      # Your ML workflow goes here
      pip install -r requirements.txt
      python train.py --key ${{ secrets.WANDB_API_KEY }}
      echo "Finished run."

But still the dependencies install and do not get cached.

Hi @sayakpaul
Do you have a link to the public repository or a minimal example repository that shows this behaviour?
By the way, could you please add ls ~/.cache/pip/ before “Train model and log wandb metric” step to check if pandas has been installed in the previous run?

@niconbwthanks for your reply. Here’e the branch where I tested this: https://github.com/sayakpaul/wine/tree/wandb-integration./

Hi @sayakpaul
The reason for this problem should be that the specified cache path is incorrect. You could try to specified cache path, such as:

      - uses: actions/cache@master
        id: cache
        with:
          path: /opt/hostedtoolcache/Python/3.7.8/x64/lib/python3.7/site-packages/*
          key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}
          restore-keys: |
            ${{ runner.os }}-pip-
            ${{ runner.os }}-

More about locations for the tools cache in each GitHub-hosted runner.
By the way, there is an environment variable called RUNNER_TOOL_CACHE on each GitHub hosted runner that describes the location of this tools cache and there is where you will find Python and PyPy installed. In your scenario, pandas should has been installed in the following path:
$RUNNER_TOOL_CACHE/Python/3.7.8/x64/lib/python3.7/site-packages/pandas

Thank you for the pointers, @niconbw. Could you also elaborate as to why the message “Cache restored …” was there in my logs? Am I missing out on something?

Hi @sayakpaul
We can find that you are using the ~/.cache/pip path in the cache@master action, but pandas has not been installed under this path. Even if you save the cache under this path(~/.cache/pip), you still cannot find the module (such as pandas) when you restore the cache successfully.

Fair enough @niconbw. Thank you for your guidance.

@niconbw I tried your suggestions but I am still not sure if caching is indeed being reflected. Here are the logs: https://github.com/sayakpaul/wine/runs/975167639?check_suite_focus=true.

@niconbw you probably forgot to include python train.py.

Hi @sayakpaul
sorry. Please add python train.py back in your side.

@niconbw I appended the necessary stuff in the YAML file and I got it to working:
https://github.com/sayakpaul/wine/runs/979690608?check_suite_focus=true.

Thanks much.

Hi @sayakpaul
You’re welcome. It’s my pleasure to help you.

jobs:
run:
runs-on: ubuntu-latest

steps:
  - uses: actions/checkout@v2
  - name: Set up Python 3.x
    uses: actions/setup-python@v2
    with:
      python-version: '3.7'    


uses: actions/cache@master

id: cache

with:

path: ${{ env.pythonLocation}}/lib/python3.7/site-packages/*

key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }}

restore-keys: |

${{ runner.os }}-pip-

${{ runner.os }}-


name: Install Dependencies

if: steps.cache.outputs.cache-hit != 'true'

run: |

echo "Installing dependencies and caching them."

pip install -r requirements.txt


name: ls show env.pythonLocation

run: ls -R ${{ env.pythonLocation}}


name: show module

run: pip show pandas


name: Train model and log wandb metric

run:  echo "Finished run."