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I am trying to decode model trained with receipe pruned_transducer_stateless7_streaming. I am able to successfully decode with fast beam search (without LG), however, when I try to decode with LG it throws below error.
2024-04-12 07:23:45,958 INFO [zipformer.py:405] At encoder stack 4, which has downsampling_factor=2, we will combine the outputs of layers 1 and 3, with downsampling_factors=2 and 8.
2024-04-12 07:23:46,039 INFO [decode.py:873] Calculating the averaged model over epoch range from 9 (excluded) to 10
2024-04-12 07:23:55,740 INFO [lexicon.py:168] Loading pre-compiled k2_model/exp/lang/bpe_5000/Linv.pt
2024-04-12 07:24:00,599 INFO [decode.py:942] Loading k2_model/exp/lang/bpe_5000/LG.pt
2024-04-12 07:24:01,728 INFO [decode.py:955] Number of model parameters: 79022891
2024-04-12 07:24:01,729 INFO [asr_datamodule.py:422] About to get test cuts
[F] /var/www/k2/csrc/top_sort.cu:324:k2::FsaVec k2::TopSorter::TopSort(k2::Array1<int>*) Check failed: start_state_present[0] == 1 (0 vs. 1) Our current implementation requires that the start state in eac
h Fsa must be present in the first batch
[ Stack-Trace: ]
/opt/conda/lib/python3.10/site-packages/k2/lib64/libk2_log.so(k2::internal::GetStackTrace()+0x34) [0x7f426ef829b4]
/opt/conda/lib/python3.10/site-packages/k2/lib64/libk2context.so(k2::internal::Logger::~Logger()+0x2a) [0x7f426f47ed4a]
/opt/conda/lib/python3.10/site-packages/k2/lib64/libk2context.so(k2::TopSorter::TopSort(k2::Array1<int>*)+0x452) [0x7f426f8019d2]
/opt/conda/lib/python3.10/site-packages/k2/lib64/libk2context.so(k2::TopSort(k2::Ragged<k2::Arc>&, k2::Ragged<k2::Arc>*, k2::Array1<int>*)+0x134) [0x7f426f7f49b4]
/opt/conda/lib/python3.10/site-packages/_[k2.cpython-310-x86_64-linux-gnu.so](http://k2.cpython-310-x86_64-linux-gnu.so/)(+0x829af) [0x7f4274ebf9af]
/opt/conda/lib/python3.10/site-packages/_[k2.cpython-310-x86_64-linux-gnu.so](http://k2.cpython-310-x86_64-linux-gnu.so/)(+0x3dda7) [0x7f4274e7ada7]
python3() [0x4fc697]
python3(_PyObject_MakeTpCall+0x25b) [0x4f614b]
python3(_PyEval_EvalFrameDefault+0x5757) [0x4f26f7]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x4b26) [0x4f1ac6]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x13b3) [0x4ee353]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x13b3) [0x4ee353]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x13b3) [0x4ee353]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x2b79) [0x4efb19]
python3(_PyFunction_Vectorcall+0x6f) [0x4fcadf]
python3(_PyEval_EvalFrameDefault+0x31f) [0x4ed2bf]
python3() [0x591d92]
python3(PyEval_EvalCode+0x87) [0x591cd7]
python3() [0x5c2967]
python3() [0x5bdad0]
python3() [0x45956b]
python3(_PyRun_SimpleFileObject+0x19f) [0x5b805f]
python3(_PyRun_AnyFileObject+0x43) [0x5b7dc3]
python3(Py_RunMain+0x38d) [0x5b4b7d]
python3(Py_BytesMain+0x39) [0x584e49]
/usr/lib/x86_64-linux-gnu/libc.so.6(+0x29d90) [0x7f4329dd6d90]
/usr/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0x80) [0x7f4329dd6e40]
python3() [0x584cfe]
Traceback (most recent call last):
File "/workspace/icefall/egs/personal/pruned_transducer_stateless7_streaming/decode.py", line 993, in <module>
main()
File "/opt/conda/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/workspace/icefall/egs/personal/pruned_transducer_stateless7_streaming/decode.py", line 970, in main
results_dict = decode_dataset(
File "/workspace/icefall/egs/personal/pruned_transducer_stateless7_streaming/decode.py", line 651, in decode_dataset
hyps_dict = decode_one_batch(
File "/workspace/icefall/egs/personal/pruned_transducer_stateless7_streaming/decode.py", line 442, in decode_one_batch
hyp_tokens = fast_beam_search_nbest_LG(
File "/workspace/icefall/egs/personal/pruned_transducer_stateless7_streaming/beam_search.py", line 223, in fast_beam_search_nbest_LG
path_lattice = k2.top_sort(k2.connect(path_lattice))
File "/opt/conda/lib/python3.10/site-packages/k2/fsa_algo.py", line 244, in top_sort
ragged_arc, arc_map = _k2.top_sort(fsa.arcs, need_arc_map=need_arc_map)
Library versions:
torch: 2.2.1
k2: 1.24.4
icefall: pulled on 18th Mar 2024
Thanks
Divyesh Rajpura
The text was updated successfully, but these errors were encountered:
Solution 2: We remove top_sort of this code, as we found properties Valid|Nonempty|TopSorted|TopSortedAndAcyclic|MaybeAccessible|MaybeCoaccessible includes TopSorted. path_lattice = (k2.connect(path_lattice)), it also works.
I am trying to decode model trained with receipe pruned_transducer_stateless7_streaming. I am able to successfully decode with fast beam search (without LG), however, when I try to decode with LG it throws below error.
Library versions:
Thanks
Divyesh Rajpura
The text was updated successfully, but these errors were encountered: