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Dockerfile for pytorch in python2 won't build

Hi, thanks for the help in getting pytorch running in python 2.7 using your Dockerfile at https://github.com/researchapps/sherlock/blob/master/pytorch-dev/Dockerfile.py2. I did have to make some changes to get it to work however:

+++ Dockerfile.new      2018-08-14 09:44:08.542990180 +1000
@@ -20,17 +20,19 @@
      /opt/conda/bin/conda config --add channels conda-forge && \
      /opt/conda/bin/conda install -y numpy pyyaml scipy ipython mkl && \
      /opt/conda/bin/conda install -y matplotlib scikit-learn scikit-image && \
+     /opt/conda/bin/conda install -y typing && \
      /opt/conda/bin/conda install -c intel mkl-include && \
      /opt/conda/bin/conda install -c pytorch magma-cuda90 && \
      /opt/conda/bin/conda clean -ya
-RUN /opt/conda/bin/conda update -y base conda
+RUN /opt/conda/bin/conda update -y conda
 ENV PATH /opt/conda/bin:$PATH
 # This must be done before pip so that requirements.txt is available
 RUN git clone https://github.com/pytorch/pytorch /opt/pytorch && \   
     cd /opt/pytorch && \
     git submodule update --init
 RUN pip install --upgrade pip
-RUN TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
+RUN cd /opt/pytorch && \
+    TORCH_CUDA_ARCH_LIST="3.5 5.2 6.0 6.1 7.0+PTX" TORCH_NVCC_FLAGS="-Xfatbin -compress-all" \
     CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" \
     pip install -v .
 RUN git clone https://github.com/pytorch/vision.git && cd vision && pip install -v .

I hope this is useful if this problem is reproducible for other people.

VEP not exposed

From discussion in an email thread, moved here for documentation and preservation:

So it seems that pvacseq may work using:

singularity exec --bind $PWD:/scif/data/pvacseq --app pvacseq pvacseq.simg pvacseq -h

I will test that with real data ASAP.

I thought that similarly VEP should work with

singularity exec --bind $PWD:/scif/data/VEP --app VEP pvacseq.simg VEP
/.singularity.d/actions/exec: 9: exec: VEP: not found

or

singularity run --bind $PWD:/scif/data/VEP --app VEP pvacseq.simg
No Singularity runscript for contained app: VEP

Using the python3 in container for setting up jupyter kernel

Hello,

I am trying to use the python3 installed in the container (which python gives opt/conda/bin/python) to show up as a kernel in jupyter.

To do so, in the location ${HOME}/.local/share/jupyter/kernels, I specify a new directory called mykernel and added a kernel.json file of the following description:

{
 "language": "python",
 "argv": ["home/lalit/singularity",
   "exec",
   "-w",
   "/home/lalit/singularity/test.simg",
   "/opt/conda/bin/python",
   "-m",
   "ipykernel",
   "-f",
   "{connection_file}"
 ],
 "display_name": "Python 3 (Singularity)"
}

But this gives a kernel not found error (shown below) upon starting a jupyter notebook. I think the paths to the singularity and test.simg are correct and this error stems from some permissions issue. Any clue on how to solve this? Thanks.

Traceback (most recent call last):
  File "/usr/local/lib/python3.5/dist-packages/tornado/web.py", line 1699, in _execute
    result = await result
  File "/usr/lib/python3.5/asyncio/futures.py", line 363, in __iter__
    return self.result()  # May raise too.
  File "/usr/lib/python3.5/asyncio/futures.py", line 274, in result
    raise self._exception
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "/usr/local/lib/python3.5/dist-packages/notebook/services/sessions/handlers.py", line 72, in post
    type=mtype))
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 735, in run
    value = future.result()
  File "/usr/lib/python3.5/asyncio/futures.py", line 274, in result
    raise self._exception
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "/usr/local/lib/python3.5/dist-packages/notebook/services/sessions/sessionmanager.py", line 88, in create_session
    kernel_id = yield self.start_kernel_for_session(session_id, path, name, type, kernel_name)
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 735, in run
    value = future.result()
  File "/usr/lib/python3.5/asyncio/futures.py", line 274, in result
    raise self._exception
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 742, in run
    yielded = self.gen.throw(*exc_info)  # type: ignore
  File "/usr/local/lib/python3.5/dist-packages/notebook/services/sessions/sessionmanager.py", line 101, in start_kernel_for_session
    self.kernel_manager.start_kernel(path=kernel_path, kernel_name=kernel_name)
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 735, in run
    value = future.result()
  File "/usr/lib/python3.5/asyncio/futures.py", line 274, in result
    raise self._exception
  File "/usr/local/lib/python3.5/dist-packages/tornado/gen.py", line 209, in wrapper
    yielded = next(result)
  File "/usr/local/lib/python3.5/dist-packages/notebook/services/kernels/kernelmanager.py", line 168, in start_kernel
    super(MappingKernelManager, self).start_kernel(**kwargs)
  File "/usr/local/lib/python3.5/dist-packages/jupyter_client/multikernelmanager.py", line 110, in start_kernel
    km.start_kernel(**kwargs)
  File "/usr/local/lib/python3.5/dist-packages/jupyter_client/manager.py", line 259, in start_kernel
    **kw)
  File "/usr/local/lib/python3.5/dist-packages/jupyter_client/manager.py", line 204, in _launch_kernel
    return launch_kernel(kernel_cmd, **kw)
  File "/usr/local/lib/python3.5/dist-packages/jupyter_client/launcher.py", line 138, in launch_kernel
    proc = Popen(cmd, **kwargs)
  File "/usr/lib/python3.5/subprocess.py", line 947, in __init__
    restore_signals, start_new_session)
  File "/usr/lib/python3.5/subprocess.py", line 1551, in _execute_child
    raise child_exception_type(errno_num, err_msg)
PermissionError: [Errno 13] Permission denied

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