RuntimeError: CUDF failure at: /__w/cudf/cudf/cpp/src/io/parquet/reader_impl_helpers.cpp:379: Invalid rowgroup index[BUG] about transformers4rec

[rnyak]

@Oussamakhammassi can you please tell us how did you install transformers4rec? are you using merlin-pytorch image?

Please also start with https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/getting-started-session-based examples since the tutorial nbs have not been updated recently.

[Oussamakhammassi]

Hi rnyak!

pip install transformers4rec[nvtabular]

No i'm not using merlin-pytorch image

[rnyak]

@Oussamakhammassi I'd recommend you to use docker image. Installing only transformers4rec[nvtabular] wont install cudf , dask_cudf etc.

if you want to install via pip you need to install rapids cudf and dask_cudf first (please see their doc here: https://docs.rapids.ai/install) and then install other Merlin libs as well:

• models
• dataloader
• systems
• core

[Oussamakhammassi]

Yess i did all that but still don't work!

[rnyak]

@Oussamakhammassi you need a compatible GPU and properly installed cuda driver to be able to import and use cudf library. what's your GPU specs? can you share the prints out of nvidia-smi and also nvcc --version?

[rnyak]

@Oussamakhammassi also can you please run this example notebooks first? https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/getting-started-session-based

[Oussamakhammassi]

For the version, here's the output:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0

For the example that you've sent to me, yes i did run it and it works well but i don't know why the other examples have this error

[Oussamakhammassi]

Wed Nov 8 15:51:59 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |
| N/A 39C P8 9W / 70W | 0MiB / 15360MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+

[Bharathjpv]

i worked with this, example notebooks are working fine, but when i run with custom data, it throws this error with i call trainer.evaluate() method.

[rnyak]

@Bharathjpv please share your error, and a reproducible toy example. we need to see what you are doing in your NVT and model training and eval pipeline to help you. thanks.