require 'override' keyword

[xieyi4650]

🐛 Bug Report

run
cd examples/cifar/ and run flowing readme, but got the flowing error:

envs/diffq/lib/python3.7/site-packages/hydra/_internal/defaults_list.py:389: UserWarning: In config.yaml: Invalid over
riding of hydra/job_logging:
Default list overrides requires 'override' keyword.
See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/defaults_list_override for more information.

change examples/cifar/conf/config.yaml
from
  1 defaults:
  2   - hydra/job_logging: colorlog
  3   - hydra/hydra_logging: colorlog

into

  1 defaults:
  2   - override hydra/job_logging: colorlog
  3   - override hydra/hydra_logging: colorlog
can fix the issue

To Reproduce

(Write your steps here:)

pip install .
make examples
cd examples/cifar
pip install -r requirements
./train.py db.name=cifar100 model=mobilenet quant.bits=3 quant.qat=True

Expected behavior

(Write what you thought would happen.)

Actual Behavior

(Write what happened. Add screenshots, if applicable.)

Your Environment

• Python and PyTorch version:
• Operating system and version (desktop or mobile):
• Hardware (gpu or cpu, amount of RAM etc.):

[adefossez]

Sorry about that, this was due to an update in the Hydra dependency since the release. Can you try uninstalling hydra and reinstalling version < 1.1:

pip uninstall hydra_core
pip install hydra_core<1.1

[xieyi4650]

@adefossez Thanks.
I have fix it by adding 'override' keyword in config.yaml
create issue is just a reminder

[adefossez]

I wouldn't advise doing so. The way Hydra parses configs has largely changed in version 1.1, and it is likely the configuration will not have the same meaning if you use hydra_core=1.1. In order to reproduce the experiments from the paper, please use a virutalenv with hydra_core<1.1.