Comments (12)
Sorry for the late reply, we have a discussion in k2 repository (k2-fsa/k2#955) and we are doing experiments, finally we will add something to make symbols emit earier.
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@Butterfly-c The delay_penalty in k2-fsa/k2#955 has been merged, you can try it. It behaves as good as fast_emit. If you really want the fast_emit, you can try k2-fsa/k2#1069 (by installing k2 or modifying fast_rnnt according to this PR).
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help help help
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Please post, all, all, of the logs. The screenshot contains little information and it is hard for us to figure out what bad things happened.
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please first use
pip install cmake
and then re-try.
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Please post, all, all, of the logs. The screenshot contains little information and it is hard for us to figure out what bad things happened.
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-- Could NOT find CUDNN (missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH)
From the error log, you have not installed cuDNN yet.
Also, your installed CUDA is 9.2, which is quite old. I am not sure whether it works.
I suggest that you upgrade your CUDA and PyTorch.
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CMake Error at pybind11-subbuild/pybind11-populate-prefix/src/pybind11-populate-stamp/download-pybind11-populate.cmake:170 (message):
Each download failed!
You have network connection problems with github.com. Please re-try.
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-- No NVCC detected. Disable CUDA support
From the above logs, I suggest installing a CUDA version of PyTorch. Otherwise, it would be slow in training with CPU.
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From the output of cmake
-- C++ Standard version: 14
-- No NVCC detected. Disable CUDA support
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How did you compile fast_rnnt? Do you have the compilation logs?
The error logs show that you have compiled a CPU version of fast_rnnt.
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Related Issues (20)
- An error occurred while compiling the source code HOT 2
- CUDA error HOT 6
- Trying to Understand pruned_loss HOT 7
- #error -- unsupported GUN version ! gcc version later than 5.3 are not supported! HOT 2
- Train loss is nan or inf HOT 29
- missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH when installing HOT 3
- AssertionError: assert py.is_contiguous() HOT 12
- RuntimeError: invalid device ordinal HOT 19
- ModuleNotFoundError: No module named '_fast_rnnt' HOT 2
- Issue in installation HOT 7
- [Help wanted] Support BUILD_FOR_ALL_ARCHS
- Why T>=S constraint? HOT 15
- Error while installing HOT 6
- pip error HOT 4
- pip error
- Import fast_rnnt is Failed HOT 11
- [feature request] Enable github actions HOT 1
- T>=S constraint in latest pip version HOT 1
- RuntimeError: Failed to find native CUDA module HOT 10
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