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(py) root@gao-PowerEdge-T640:~/yu_ex/warp-ctc3333/pytorch_binding# python setup.py install
running install
running bdist_egg
running egg_info
creating warpctc_pytorch.egg-info
writing warpctc_pyt…
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Ultimately I'd like to create a pytorch Tensor (or Julia array), send it to the device, and then wrap that GPU-memory in a way that Kokkos can use inside MParT. This issue is devoted to assessing th…
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Hi Yule,
Thank you for your impressive work. But there are some problems when I run the released code. The libKMCUDa.so is built successfully with your guidance. But it faces "segmentation faul…
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### 🐛 Describe the bug
When I run VGG19 100 times with more than 8 threads, it takes 6 seconds, but when I reduce the number of threads to 7, it takes 184 seconds. This result confuses me. Is it a …
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I've built warp-ctc and pytorch-binding successfully in cpu-only environment, but failed to import warpctc_pytorch with cudart error:
```python
In [1]: import warpctc_pytorch …
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ERROR: [Torch-TensorRT] - Unsupported operator: aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=Fals…
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Same as this: https://github.com/espnet/espnet/issues/4054#issuecomment-1109352507
https://github.com/b-flo/warp-transducer/blob/master/pytorch_binding/src/binding.cpp#L151 The error is raised here…
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generating build/warpctc_pytorch/_warp_ctc/__warp_ctc.c
(already up-to-date)
not modified: 'build/warpctc_pytorch/_warp_ctc/__warp_ctc.c'
running install
running bdist_egg
running egg_info
writi…
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I have run into a problem where I install CUDA 12.1 which fits my Graphics card, I then install pytorch for 12.1 from pytorch documentation to a conda environment. I then install ninja and install a r…
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Hi! I have been using torch_tensorrt for speedup of pytorch models and have been loving it. But sometimes i face problems while conversion.
In this case, i was using segmentation-models-pytorch(sm…