priority of EvalIterHook shold be lower then IterTimerHook

[yivan-WYYGDSG]

Motivation

when use EvalIterHook in _non_dist_train in .mmedit/apis/train.py, it will raise keyError since the key 'data_time' is not exsist

Modification

set the priority of EvalIterHook lower then IterTimerHook

[ckkelvinchan]

Hi, may I ask what command did you use when you encounter this error?

[codecov]

Codecov Report

Merging #473 (956a622) into master (f9c9a95) will decrease coverage by 0.18%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master     #473      +/-   ##
==========================================
- Coverage   80.56%   80.38%   -0.19%     
==========================================
  Files         190      190              
  Lines       10338    10262      -76     
  Branches     1533     1533              
==========================================
- Hits         8329     8249      -80     
- Misses       1780     1783       +3     
- Partials      229      230       +1     

Flag	Coverage Δ
unittests	80.36% <ø> (-0.18%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmedit/apis/train.py	18.00% <ø> (ø)
...ackbones/encoder_decoders/pconv_encoder_decoder.py	43.47% <0.00%> (-2.36%)	⬇️
mmedit/models/base.py	82.75% <0.00%> (-2.09%)	⬇️
...ls/components/stylegan2/generator_discriminator.py	84.93% <0.00%> (-1.21%)	⬇️
...ones/encoder_decoders/two_stage_encoder_decoder.py	53.84% <0.00%> (-1.16%)	⬇️
...dels/backbones/encoder_decoders/encoders/resnet.py	66.01% <0.00%> (-0.97%)	⬇️
...s/backbones/encoder_decoders/gl_encoder_decoder.py	81.48% <0.00%> (-0.67%)	⬇️
mmedit/datasets/pipelines/normalization.py	88.88% <0.00%> (-0.59%)	⬇️
mmedit/apis/test.py	24.75% <0.00%> (-0.51%)	⬇️
mmedit/models/mattors/indexnet.py	84.37% <0.00%> (-0.48%)	⬇️
... and 21 more

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[OpenMMLab-Coodinator]

Hi @yivan-WYYGDSG ！First of all, we want to express our gratitude for your significant PR in this project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.

We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us ：https://discord.gg/raweFPmdzG

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Thank you again for your contribution❤