k2-fsa / fast_rnnt Goto Github PK
View Code? Open in Web Editor NEWA torch implementation of a recursion which turns out to be useful for RNN-T.
License: Other
A torch implementation of a recursion which turns out to be useful for RNN-T.
License: Other
RuntimeError: Failed to find native CUDA module, make sure that you compiled the code with K2_WITH_CUDA.
Using my transducer model, I have tried both the pruned and the unpruned loss. The unpruned version worked pretty well, even outperforming the torchaudio.rnnt_loss
. The problem is within the pruned version. The model is very slow to converge and the WER & CER are not improving knowing that I tried different prune_range
values. Is this expected?
Also, I was wondering what is the best way to understand the pruned loss other than reading the code?
I just find GitHub actions for this repo have not been enabled yet.
I suggest that we enable GitHub actions for this repo and also add CI tests.
Issues like #27 should be covered by CI.
I'm working on integrating FastRNNT with Speechbrain, check this Pull Request.
At the current moment, I'm trying to train a transducer model on the multilingual TEDx dataset (mTEDx) for French. Whenever I train my model, I get this assertion error (he issue's title). However, it says in the mutual_information.py file that:
# The following assertions are for efficiency
assert px.is_contiguous()
assert py.is_contiguous()
Once I comment these two lines, everything works just fine. Using a transducer model with an encoder of wav2vec2 pre-trained model + one linear layer, and a one layer GRU as a decoder, the model trains just fine and I got 14.37 WER on the French test set which is way better than our baseline.
Now, I have these two questions:
AssertionError
?Your guidance is much appreciated!
To prevent the following error,
we use
option(K2_BUILD_FOR_ALL_ARCHS "Whether to build k2 for all GPU architectures" OFF)
https://github.com/k2-fsa/k2/blob/efd83642a940dc7db08688cc0791985bed1fafcd/CMakeLists.txt#L87
in k2.
It would be nice if someone can port K2_BUILD_FOR_ALL_ARCHS
to this reposiotry.
After using the fast_rnnt loss in my environment, the trainning loss always failed into nan or inf.
The configuration fo my ConformerTransducer enviroment is as follows:
Finally, 6k hours training data are used to train the RNNT model. At the warmup stage (i.e.pruned_loss_scaled = 0 ), the loss always failed into nan,Also when pruned_loss_scaled is set to 0.1 , the loss always failed into inf.
Is there any suggestions to solve this problem?
While installing fast_rnnt, I get the following error, both while installing via pip as well as for the manual installation:
-- Found Torch: /home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/lib/libtorch.so
-- PyTorch version: 1.13.1+cu117
-- Configuring done
-- Generating done
-- Build files have been written to: /home/ujjwaleshwar/fast_rnnt/build/temp.linux-x86_64-cpython-310
[ 16%] Building CUDA object fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/mutual_information_cpu.cu.o
[ 33%] Building CUDA object fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/mutual_information_cuda.cu.o
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h: In function ‘typename pybind11::detail::type_caster<typename pybind11::detail::intrinsic_type<T>::type>::cast_op_type<T> pybind11::detail::cast_op(make_caster<T>&)’:
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:120: error: expected template-name before ‘<’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:120: error: expected identifier before ‘<’ token
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:123: error: expected primary-expression before ‘>’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:126: error: expected primary-expression before ‘)’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h: In function ‘typename pybind11::detail::type_caster<typename pybind11::detail::intrinsic_type<T>::type>::cast_op_type<T> pybind11::detail::cast_op(make_caster<T>&)’:
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:120: error: expected template-name before ‘<’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:120: error: expected identifier before ‘<’ token
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:123: error: expected primary-expression before ‘>’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
/home/ujjwaleshwar/Projects/py/FYP/venv/lib/python3.10/site-packages/torch/include/pybind11/cast.h:42:126: error: expected primary-expression before ‘)’ token
42 | return caster.operator typename make_caster<T>::template cast_op_type<T>();
| ^
make[3]: *** [fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/build.make:77: fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/mutual_information_cpu.cu.o] Error 1
make[3]: *** Waiting for unfinished jobs....
make[3]: *** [fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/build.make:92: fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/mutual_information_cuda.cu.o] Error 1
make[2]: *** [CMakeFiles/Makefile2:180: fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/all] Error 2
make[1]: *** [CMakeFiles/Makefile2:213: fast_rnnt/python/csrc/CMakeFiles/_fast_rnnt.dir/rule] Error 2
make: *** [Makefile:137: _fast_rnnt] Error 2
I am using pytorch 1.13 + cu11.7.
nvcc --version returns the following:
nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Feb__7_19:32:13_PST_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0
Any help is appreciated.
I ran the fast_rnnt.get_rnnt_prune_ranges() function with a RuntimeError: Invalid device ordinal .
Here are the error details.
ranges = self.fast_rnnt.get_rnnt_prune_ranges(
File "/opt/conda/lib/python3.8/site-packages/fast_rnnt-1.0-py3.8-linux-x86_64.egg/fast_rnnt/rnnt_loss.py", line 580, in get_rnnt_prune_ranges
s_begin = _adjust_pruning_lower_bound(s_begin, 2 if T1 == T else s_range)
File "/opt/conda/lib/python3.8/site-packages/fast_rnnt-1.0-py3.8-linux-x86_64.egg/fast_rnnt/rnnt_loss.py", line 466, in adjust_pruning_lower_bound
fast_rnnt.monotonic_lower_bound(s_begin)
RuntimeError: invalid device ordinal
I ran into the following problems,when i run the setup.py:
/opt/lib/cuda-8.0/bin/..//include/host_config.h:115:2 #error -- unsupported GUN version ! gcc version later than 5.3 are not supported!
the environment is :
gcc 5.4.0
pytorch 1.7.1
cuda-10.2
python 3.7
(There are several different versions of cuda in the environment.)
when I set the following configs in CMakeList.txt, I still get the same error
set(CUDA_TOOLKIT_ROOT_DIR /opt/lib/cuda-10.2)
set(CMAKE_C_COMPILER /usr/bin/gcc) (gcc -v 4.8.5)
set(CMAKE_CXX_COMPILER /usr/bin/++)
Hello, I am evaluating pruned-rnnt (regular version) for my use case and just ran into the T>=S
assertion. I am avoiding building from source because it takes too long (10+ mins) to build. I was wondering if you are going to have another release anytime soon.
Hi,
I am trying to install this package, but I run into the following error after cloning and running setup.py
[ 20%] Linking CXX shared library ../../lib/libmutual_information_core.so
/usr/bin/ld: cannot find -lmkl_intel_ilp64
/usr/bin/ld: cannot find -lmkl_core
/usr/bin/ld: cannot find -lmkl_intel_thread
collect2: error: ld returned 1 exit status
make[3]: *** [fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/build.make:99: lib/libmutual_information_core.so] Error 1
make[2]: *** [CMakeFiles/Makefile2:191: fast_rnnt/csrc/CMakeFiles/mutual_information_core.dir/all] Error 2
make[1]: *** [CMakeFiles/Makefile2:225: fast_rnnt/python/csrc/CMakeFiles/_fast_rnnt.dir/rule] Error 2
make: *** [Makefile:131: _fast_rnnt] Error 2
Traceback (most recent call last):
File "setup.py", line 105, in
setuptools.setup(
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/init.py", line 153, in setup
return distutils.core.setup(**attrs)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/core.py", line 148, in setup
dist.run_commands()
File "/opt/conda/envs/ptca/lib/python3.8/distutils/dist.py", line 966, in run_commands
self.run_command(cmd)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/install.py", line 74, in run
self.do_egg_install()
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/install.py", line 116, in do_egg_install
self.run_command('bdist_egg')
File "/opt/conda/envs/ptca/lib/python3.8/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/bdist_egg.py", line 164, in run
cmd = self.call_command('install_lib', warn_dir=0)
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/bdist_egg.py", line 150, in call_command
self.run_command(cmdname)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/install_lib.py", line 11, in run
self.build()
File "/opt/conda/envs/ptca/lib/python3.8/distutils/command/install_lib.py", line 107, in build
self.run_command('build_ext')
File "/opt/conda/envs/ptca/lib/python3.8/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/dist.py", line 985, in run_command
cmd_obj.run()
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 79, in run
_build_ext.run(self)
File "/opt/conda/envs/ptca/lib/python3.8/distutils/command/build_ext.py", line 340, in run
self.build_extensions()
File "/opt/conda/envs/ptca/lib/python3.8/distutils/command/build_ext.py", line 449, in build_extensions
self._build_extensions_serial()
File "/opt/conda/envs/ptca/lib/python3.8/distutils/command/build_ext.py", line 474, in _build_extensions_serial
self.build_extension(ext)
File "setup.py", line 59, in build_extension
raise Exception(
Exception:
Build fast_rnnt failed. Please check the error message.
You can ask for help by creating an issue on GitHub.
Is there any version that take advantage of fast_emit?
Why do we need this constraint? In a regular rnnt, normally the joint may emit many blank symbol, and in this condition, T>S. But it's also possilble that S>T, e.g. we emit at least one non-blank symbols for each encoder frames.
Actually I have met this
File "/rnnt_related/rnnt-mlperf-training/model_rnnt.py", line 203, in fast_joint simple_loss, (px_grad, py_grad) = fast_rnnt.rnnt_loss_simple( File "/anaconda3/envs/fast-rnnt/lib/python3.8/site-packages/fast_rnnt-1.2-py3.8-linux-x86_64.egg/fast_rnnt/rnnt_loss.py", line 282, in rnnt_loss_simple px, py = get_rnnt_logprobs( File "/anaconda3/envs/fast-rnnt/lib/python3.8/site-packages/fast_rnnt-1.2-py3.8-linux-x86_64.egg/fast_rnnt/rnnt_loss.py", line 149, in get_rnnt_logprobs assert T >= S, (T, S) AssertionError: (272, 274)
I'm getting this error when I tried to install Fast RNNT from GitHub repository. These are the commands I used:
$ git clone https://github.com/danpovey/fast_rnnt.git
$ cd fast_rnnt
$ python setup.py install
All needed requirements are met:
cmake
version: 3.17.5gcc
version: 8.3.1python
version: 3.9.4pytorch
version: 1.10.1+cu102The following is the full error trace:
running install
/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
running bdist_egg
running egg_info
writing fast_rnnt.egg-info/PKG-INFO
writing dependency_links to fast_rnnt.egg-info/dependency_links.txt
writing requirements to fast_rnnt.egg-info/requires.txt
writing top-level names to fast_rnnt.egg-info/top_level.txt
reading manifest file 'fast_rnnt.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no previously-included files matching '*.pyc' found anywhere in distribution
adding license file 'LICENSE'
writing manifest file 'fast_rnnt.egg-info/SOURCES.txt'
installing library code to build/bdist.linux-x86_64/egg
running install_lib
running build_py
copying fast_rnnt/python/fast_rnnt/__init__.py -> build/lib.linux-x86_64-cpython-39/fast_rnnt
running build_ext
For fast compilation, run:
export FT_MAKE_ARGS="-j"; python setup.py install
Setting PYTHON_EXECUTABLE to /gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/bin/PYTHON39
build command is:
cd build/temp.linux-x86_64-cpython-39
cmake -DCMAKE_BUILD_TYPE=Release -DPYTHON_EXECUTABLE=/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/bin/PYTHON39 /gfs/project/stag/users/manwar/speechbrain_PR/fast_rnnt
make _fast_rnnt
-- C++ Standard version: 14
-- Enabled languages: CXX;CUDA
-- Automatic GPU detection failed. Building for common architectures.
-- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX
-- FT_COMPUTE_ARCH_FLAGS: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75
-- FT_COMPUTE_ARCH_CANDIDATES 35;50;60;61;70;75
-- Adding arch 35
-- Adding arch 50
-- Adding arch 60
-- Adding arch 61
-- Adding arch 70
-- Adding arch 75
-- FT_COMPUTE_ARCHS: 35;50;60;61;70;75
-- Downloading pybind11
-- pybind11 is downloaded to /home/manwar/stag/speechbrain_PR/fast_rnnt/build/temp.linux-x86_64-cpython-39/_deps/pybind11-src
-- pybind11 v2.6.0
-- Python executable: /home/manwar/stag/speechbrain_PR/py39_PR/bin/PYTHON39
-- Caffe2: CUDA detected: 10.2
-- Caffe2: CUDA nvcc is: /nfs/core/cuda/10.2/bin/nvcc
-- Caffe2: CUDA toolkit directory: /nfs/core/cuda/10.2
-- Caffe2: Header version is: 10.2
-- Could NOT find CUDNN (missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH)
CMake Warning at /home/manwar/stag/speechbrain_PR/py39_PR/lib/python3.9/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:111 (message):
Caffe2: Cannot find cuDNN library. Turning the option off
Call Stack (most recent call first):
/home/manwar/stag/speechbrain_PR/py39_PR/lib/python3.9/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include)
/home/manwar/stag/speechbrain_PR/py39_PR/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
cmake/torch.cmake:11 (find_package)
CMakeLists.txt:135 (include)
-- /nfs/core/cuda/10.2/lib64/libnvrtc.so shorthash is 08c4863f
-- Automatic GPU detection failed. Building for common architectures.
-- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX
-- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75
CMake Error at /home/manwar/stag/speechbrain_PR/py39_PR/lib/python3.9/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:96 (message):
Your installed Caffe2 version uses cuDNN but I cannot find the cuDNN
libraries. Please set the proper cuDNN prefixes and / or install cuDNN.
Call Stack (most recent call first):
/home/manwar/stag/speechbrain_PR/py39_PR/lib/python3.9/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package)
cmake/torch.cmake:11 (find_package)
CMakeLists.txt:135 (include)
-- Configuring incomplete, errors occurred!
See also "/home/manwar/stag/speechbrain_PR/fast_rnnt/build/temp.linux-x86_64-cpython-39/CMakeFiles/CMakeOutput.log".
See also "/home/manwar/stag/speechbrain_PR/fast_rnnt/build/temp.linux-x86_64-cpython-39/CMakeFiles/CMakeError.log".
make: *** No rule to make target '_fast_rnnt'. Stop.
Traceback (most recent call last):
File "/gfs/project/stag/users/manwar/speechbrain_PR/fast_rnnt/setup.py", line 106, in <module>
setuptools.setup(
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/__init__.py", line 87, in setup
return distutils.core.setup(**attrs)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/core.py", line 148, in setup
return run_commands(dist)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/core.py", line 163, in run_commands
dist.run_commands()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 967, in run_commands
self.run_command(cmd)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/dist.py", line 1224, in run_command
super().run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 986, in run_command
cmd_obj.run()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/install.py", line 74, in run
self.do_egg_install()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/install.py", line 123, in do_egg_install
self.run_command('bdist_egg')
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/dist.py", line 1224, in run_command
super().run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 986, in run_command
cmd_obj.run()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/bdist_egg.py", line 165, in run
cmd = self.call_command('install_lib', warn_dir=0)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/bdist_egg.py", line 151, in call_command
self.run_command(cmdname)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/dist.py", line 1224, in run_command
super().run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 986, in run_command
cmd_obj.run()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/install_lib.py", line 11, in run
self.build()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/command/install_lib.py", line 107, in build
self.run_command('build_ext')
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/dist.py", line 1224, in run_command
super().run_command(command)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/dist.py", line 986, in run_command
cmd_obj.run()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/command/build_ext.py", line 79, in run
_build_ext.run(self)
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/command/build_ext.py", line 339, in run
self.build_extensions()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/command/build_ext.py", line 448, in build_extensions
self._build_extensions_serial()
File "/gfs/project/stag/users/manwar/speechbrain_PR/py39_PR/lib/python3.9/site-packages/setuptools/_distutils/command/build_ext.py", line 473, in _build_extensions_serial
self.build_extension(ext)
File "/gfs/project/stag/users/manwar/speechbrain_PR/fast_rnnt/setup.py", line 60, in build_extension
raise Exception(
Exception:
Build fast_rnnt failed. Please check the error message.
You can ask for help by creating an issue on GitHub.
Click:
https://github.com/danpovey/fast_rnnt/issues/new
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