standardized inference and number of iterations for mSuperb single lang track

[DanBerrebbi]

No description provided.

[ftshijt]

I think you also need some updates to some other scripts (due to the version change)

[DanBerrebbi]

Yes I saw it
I'll update after I make sure the current files work well without any bug which I am doing now

[codecov]

Codecov Report

Merging #4905 (75bc56e) into master (e753fa3) will increase coverage by 0.00%.
The diff coverage is 77.77%.

@@           Coverage Diff           @@
##           master    #4905   +/-   ##
=======================================
  Coverage   76.57%   76.58%           
=======================================
  Files         603      603           
  Lines       53737    53730    -7     
=======================================
  Hits        41148    41148           
+ Misses      12589    12582    -7     

Flag	Coverage Δ
test_integration_espnet1	66.33% <100.00%> (+0.13%)	⬆️
test_integration_espnet2	47.59% <80.00%> (-0.02%)	⬇️
test_python	66.46% <44.44%> (+<0.01%)	⬆️
test_utils	23.35% <0.00%> (ø)

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

Impacted Files	Coverage Δ
espnet/nets/pytorch_backend/rnn/decoders.py	93.92% <ø> (ø)
espnet2/asr/decoder/rnn_decoder.py	73.64% <ø> (ø)
espnet2/asr/encoder/hubert_encoder.py	51.44% <ø> (ø)
espnet2/asr/frontend/fused.py	93.10% <ø> (ø)
espnet2/asr/pit_espnet_model.py	90.26% <ø> (ø)
espnet2/asr/state_spaces/base.py	63.63% <ø> (ø)
espnet2/asr/state_spaces/s4.py	53.00% <ø> (ø)
espnet2/bin/asr_inference.py	84.13% <ø> (ø)
espnet2/bin/diar_inference.py	80.81% <0.00%> (ø)
espnet2/diar/layers/abs_mask.py	100.00% <ø> (ø)
... and 35 more

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[ftshijt]

Looks good to me! thanks