[BUG] pytorch is not included even though its used by example notebook

[tomgreen66]

Describe the bug
When using the cusignal notebook from a docker container /rapids/notebooks/cusignal/E2E_Example.ipynb it tries to import torch which is not installed.

Steps/Code to reproduce bug

1. Run docker container rapidsai_cuda10.1-runtime-centos7 within Singularity.
2. Start Jupyter server with singularity run --nv rapidsai_cuda10.1-runtime-centos7.sif
3. Access Jupyter on localhost:8888
4. Try running the cusignal/E2E_Example.ipynb example.

Expected behavior
Notebook completes without failure.

Environment details (please complete the following information):

• Environment location: Singularity on local HPC system
• Method of cuDF install: Docker container
  • If method of install is [Docker], provide docker pull & docker run commands used
    $ singularity pull docker://nvcr.io/nvidia/rapidsai/rapidsai:cuda10.1-runtime-centos7
$ singularity run --nv rapidsai/rapidsai_cuda10.1-runtime-centos7.sif
• Please run and attach the output of the cudf/print_env.sh script to gather relevant environment details

rapids.log

Additional context
Using Singularity on HPC so could be issues with that.

[ajschmidt8]

@tomgreen66, thanks for bringing this to our attention and apologies for the late reply here. I'm told that we intentionally exclude PyTorch from our images due to its size. However, I just opened a PR to cusignal (rapidsai/cusignal#242) to add both an explanation and a workaround for users who are running this Notebook in our containers. Please see that PR for more details.

closing this issue.