Comments (3)
Which version of k2 are you using? You can use
$ python3 -m k2.version
to find that.
If you are not using the latest k2 (most probably), please update your k2.
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Which version of k2 are you using? You can use
$ python3 -m k2.version
to find that.
If you are not using the latest k2 (most probably), please update your k2.
ok, the version of k2 is 1.6 that I used , you mean if i change the of k2 version(from 1.6 to 1.8 ) can solve this error ?
root@17eefe7f5ceb:/workspace# python3 -m k2.version
Collecting environment information...
k2 version: 1.6
Build type: Release
Git SHA1: 818b138b33eabe440601df8910a2b97ac088594b
Git date: Thu Aug 26 13:03:25 2021
Cuda used to build k2: 11.1
cuDNN used to build k2: 8.0.5
Python version used to build k2: 3.8
OS used to build k2:
CMake version: 3.18.0
GCC version: 7.5.0
CMAKE_CUDA_FLAGS: --expt-extended-lambda -gencode arch=compute_35,code=sm_35 --expt-extended-lambda -gencode arch=compute_50,code=sm_50 --expt-extended-lambda -gencode arch=compute_60,code=sm_60 --expt-extended-lambda -gencode arch=compute_61,code=sm_61 --expt-extended-lambda -gencode arch=compute_70,code=sm_70 --expt-extended-lambda -gencode arch=compute_75,code=sm_75 -D_GLIBCXX_USE_CXX11_ABI=0 --compiler-options -Wall --compiler-options -Wno-unknown-pragmas --compiler-options -Wno-strict-overflow
CMAKE_CXX_FLAGS: -D_GLIBCXX_USE_CXX11_ABI=0 -Wno-strict-overflow
PyTorch version used to build k2: 1.8.0
PyTorch is using Cuda: 11.1
NVTX enabled: True
With CUDA: True
Disable debug: True
Sync kernels : False
Disable checks: False
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Did you fix the error by updating k2?
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