Assert in Kaldi when used with GStreamer - gstreamer

Question

Using GStreamer plugin from Alumae and the following pipeline :
appsrc source='appsrc' ! wavparse ! audioconvert ! audioresample ! queue ! kaldinnet2onlinedecoder <parameters snipped> ! filesink location=/tmp/test
I always get the following assert that I don't understand
KALDI_ASSERT(current_log_post_.NumRows() == info_.frames_per_chunk /
info_.opts.frame_subsampling_factor &&
current_log_post_.NumCols() == info_.output_dim);
What is this assert error about ? How to fix it ?
FYI, the data pushed into the pipeline come from a streamed wav file and replacing kaldinnetonlinedecoder with wavenc correctly generate a Wav file instead of a text file at the end.
EDIT
Here are the parameters used:
use-threaded-decoder=0
model=/opt/en/final.mdl
word-syms=<word-file>
fst=<fst_file>
mfcc-config=<mfcc-file>
ivector-extraction-config=/opt/en/ivector-extraction/ivector_extractor.conf
max-active=10000
beam=10.0
lattice-beam=6.0
do-endpointing=1
endpoint-silence-phones=\"1:2:3:4:5:6:7:8:9:10\"
traceback-period-in-secs=0.25
num-nbest=10
For your information, using the pipeline textual representation in python works but coding it (i.e using Gst.Element_Factory.make and so on) always throw the exception
SECOND UPDATE
Here is the full stack trace generated by the assert
ASSERTION_FAILED ([5.2]:AdvanceChunk():decodable-online-looped.cc:223) : 'current_log_post_.NumRows() == info_.frames_per_chunk / info_.opts.frame_subsampling_factor && current_log_post_.NumCols() == info_.output_dim'
[ Stack-Trace: ]
kaldi::MessageLogger::HandleMessage(kaldi::LogMessageEnvelope const&, char const*)
kaldi::MessageLogger::~MessageLogger()
kaldi::KaldiAssertFailure_(char const*, char const*, int, char const*)
kaldi::nnet3::DecodableNnetLoopedOnlineBase::AdvanceChunk()
kaldi::nnet3::DecodableNnetLoopedOnlineBase::EnsureFrameIsComputed(int)
kaldi::nnet3::DecodableAmNnetLoopedOnline::LogLikelihood(int, int)
kaldi::LatticeFasterOnlineDecoder::ProcessEmitting(kaldi::DecodableInterface*)
kaldi::LatticeFasterOnlineDecoder::AdvanceDecoding(kaldi::DecodableInterface*, int)
kaldi::SingleUtteranceNnet3Decoder::AdvanceDecoding()

Answer 1

I finally got it working, even with frame-subsampling-factor parameter.
The problem resides in the order of the parameters.
fst and model parameters have to be the last ones.
Thus the following textual chain works :
gst-launch-1.0 pulsesrc device=alsa_input.pci-0000_00_05.0.analog-stereo ! queue ! \
audioconvert ! \
audioresample ! tee name=t ! queue ! \
kaldinnet2onlinedecoder \
use-threaded-decoder=0 \
nnet-mode=3 \
word-syms=/opt/models/fr/words.txt \
mfcc-config=/opt/models/fr/mfcc_hires.conf \
ivector-extraction-config=/opt/models/fr/ivector-extraction/ivector_extractor.conf \
phone-syms=/opt/models/fr/phones.txt \
frame-subsampling-factor=3 \
max-active=7000 \
beam=13.0 \
lattice-beam=8.0 \
acoustic-scale=1 \
do-endpointing=1 \
endpoint-silence-phones=1:2:3:4:5:16:17:18:19:20 \
traceback-period-in-secs=0.25 \
num-nbest=2 \
chunk-length-in-secs=0.25 \
fst=/opt/models/fr/HCLG.fst \
model=/opt/models/fr/final.mdl \
! filesink async=0 location=/dev/stdout t. ! queue ! autoaudiosink async=0
I opened an issue on GitHub for this as for me, this can be really difficult to find and should at least be documented.